Wind power potential criterion [5].
\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"9136",leadTitle:null,fullTitle:"Counseling and Therapy",title:"Counseling and Therapy",subtitle:null,reviewType:"peer-reviewed",abstract:"This book, Counselling and Therapy, aims to equip students, life skills teachers, counselors, psychologists, academics, and other health practitioners with the most practical counselling and therapy basic skills, different counselling approaches, and problem-based techniques to address psychosocial problems. In this edition of Counselling and Therapy the following contents were covered:\n
Skin wounds and their treatment lead to major medical expenses in cosmetic surgery. Chronic wounds, including diabetic ulcers and pressure ulcers, present a significant health and economic concern for individual patients as well as the healthcare system. The diabetic ulcer is a major complication of diabetes mellitus, a disease which afflicts more than 350 million people worldwide. Among them foot ulceration is the leading cause for hospitalization [1]. Acute cutaneous burn wounds are also a serious health‐related issue in the global community. Nearly 11 million flame burns occur annually and burn deaths rank in the top 15 causes of death for individuals 5–29 years of age. Around 60% of these burn patients heal with debilitating hypertrophic or keloid scarring [2]. Additionally, the cutaneous burn wound can left deep and large scar in comparison to normal wound after healing. All these scars are formed due to over deposition of collagen fibers to fill up the wound gaps, which are structurally and molecularly different to each other and need different approaches for their diagnosis and management. Improper management of wound may cause serious tissue disfigurement that may cause serious physical and psychological problems in patients.
\nWound healing is a widely studied biomedical problem regarding tissue systems. To address the situation of wounds and their assessment of healing potential requires insight of what occurs to the components of skin at cellular and molecular level. Specifically, epithelial cell migration and collagen regeneration by fibroblast cells in the skin were found to have great effects on accelerated wound healing [3]. The entire wound healing process is a complex series of events that starts at the moment of injury and can continue for months even years in a few sequential yet overlapping phases. The characterization of wounds, their healing, and also the timeline of these sequential phases have major clinical significance in assessing severity, healing potential, and determining the correct treatment for all wound types. Traditionally, wound assessment has relied on visual evaluation by trained clinicians, with techniques based on laboratory biopsies providing objective assessment modalities [4, 5]. Currently, histological analysis of the tissue remains the gold standard for precise quantitative and qualitative assessment of wound depth and status. However, the biopsy process is invasive, can be painful, and in some cases can cause additional trauma and worsen scarring [4, 5]. Additionally, the processing required for histochemical observation usually distorts the structural integrity of the tissue.
\nIn contrast to the abovementioned traditional wound assessment procedures, noninvasive imaging by optical means does not require destructive tissue sectioning; it preserves all layers of the skin. By collecting the information through light and tissue interaction, optical imaging assesses wound severity, healing potential, and progress in a rapid, objective, and noninvasive manner. Optical microscopic techniques use various biomolecules as marker to observe skin and its physiology. Various imaging modalities detect scattering and absorption of light by these markers, aiding the qualitative and quantitative evaluation of cell regeneration, metabolic activity, collagen remodeling, blood flow, inflammation, vascular structure, and water content. For example, absorption by hemoglobin provides contrast of veins in technique such as laser Doppler imaging (LDI); reflection and scattering by extracellular matrix provide structural contrast achieved by optical coherence tomography (OCT) and reflectance confocal laser scanning microscopy (RCLM) and fluorescence from molecules such as NADH, FAD [6], and tryptophan [7] provide molecular contrasts for fluorescence imaging of cells that constitute the epidermal layers of the skin. Some molecules, such as collagen and elastin found in the skin dermis, are also known to have autofluorescence [8, 9]. Along with fluorescence, collagen is better known as a strong SH generator that can provide structural contrast while imaging the dermis [9].
\nIn clinical setting, optical imaging with these contrast mechanisms has been or has the potential to study skin wound healing noninvasively. Spectrally resolved tissue imaging with confocal or multiphoton microscopy enables 3D imaging of tissues through depth sectioning and can be used to study skin wound healing [10]. In comparison to other conventional optical microscopies, multiphoton microscopy offers a number of advantages. Nonlinear excitation limits the sample excitation to the focal volume and optical scanning with very small excitation volume results in high‐contrast images. Lower scattering of IR light enables deeper penetration in tissue. Large spectral separation between the multiphoton excitation and emission provides easier discrimination of entire emission spectrum [11]. Among the modalities of multiphoton microscopy, two‐photon fluorescence (2PF) and SHG present as the most effective ones in tissue imaging for diagnosis and prognosis in skin wound healing.
\nIn this chapter we will discuss recent advancements in optical microscopic techniques for imaging skin tissue and its regeneration during wound healing. We will put forward a comparative idea of various techniques in their specific objectives of skin observations. In doing so we will briefly discuss the wound healing processes at various phases and the corresponding molecular components involved that can be used as biomarkers. Our main emphasis of the chapter is on the analysis of wound healing enabled by multiphoton microscopy (MPM), mainly 2PF and SHG imaging, and their prospects in clinical settings. However, we will also cover other popular methodologies for optical imaging of skin, highlighting their potentials in wound healing study.
\nSkin is the largest organ of our body which protects us from excessive water loss and invasion of outside pathogens, senses changes in environment, etc. Before discussing the diagnostic methodologies of skin wound healing, it is very important to understand the anatomy and the molecular basis of skin and how the healing processes are related. In this section we will introduce the skin\'s anatomic layers and the molecules present in these layers that are potential markers for optical imaging. Various phases of wound healing and the molecular components involve in the process are also discussed in the later part of the section.
\nFrom an anatomic point of view, skin is a multilayered tissue as represented in Figure 1(b). It weighs about 10% of our total body weight and thickness is approximately ranged from .5 to 2 mm [12]. The thickness of skin varies in deferent region of the body. Skin is composed of three primary layers:
\n(1) The epidermis, which preserves body fluid and serves as a barrier to infection, is mainly a stratified squamous epithelium composed of proliferating basal and differentiated keratinocytes. Keratinocytes are the major cells in epidermis constituting 95% of it. It is composed of five stratified layers, namely, stratum corneum, stratum granulosum, stratum spinosum, and stratum germinativum, ranging from 0.05 to 1.5 mm thick [13]. As cells possess autofluorescing chromophores, such as NADH, FAD, and tryptophan, the epidermal physiology can be observed through fluoresce microscopy.
\n(2)
(a) Representative image of the key players in the healing of a skin wound [
(3)
In normal skin, the epidermis and dermis exist in steady‐state equilibrium, forming a protective barrier against the external environment. Once the protective barrier is broken, the normal process of wound healing starts immediately. Wound healing involves sequential phases of cellular initiation and secretion of molecules triggered by specific growth factors and signaling molecules [3]. Initially, a fibrin clot is formed that plugs the defects, which provides a provisional platform for cell migration as depicted in Figure 1(a). In subsequent days, the wound heals completely by forming a dynamic scar tissue rich in collagen [3]. Classical model of wound healing divides the processes into several vital sequential yet overlapping stages, such as (1) hemostasis, (2) inflammation, (3) proliferation, and (4) remodeling.
\nHemostasis starts immediately after the wound formation. At this stage, blood changes from liquid state to solid state to stop excessive blood loss, which is termed as blood clotting [14, 15], followed by bacteria and cell debris at the wound site being phagocytosed and removed by macrophages and white blood cells. During this phase the wound site appears red and hotter than the adjacent area marking the onset of inflammation [16–18]. Additionally, at this stage tissue matrix metalloproteinase enzymes start to degrade surrounding ECM proteins such as collagen and necrotic cellular macromolecules to provide a platform for epithelial cells migration [3]. The proliferative phase begins only when the wound is covered by re‐epithelium which will migrate to central region of the wound to cover the wound defect. Angiogenesis, collagen deposition, granulation tissue formation, epithelialization, and wound contraction are the signatures of the proliferative phase [19]. The final phase of wound healing is remodeling. It is characterized by the maturation of collagen by rearrangement, intermolecular cross‐linking, and alignment along the wound tension line [16]. The remodeling phase may last for a year or even longer with respect to wound size and type [20]. As the wound maturation progresses, the tensile strength of the wound increases, ultimately becoming as strong as 80% of normal tissue [20]. The wound scar gradually flattens and becomes less prominent and more pale and supple. Since activity at the wound site is reduced, consequently blood vessels that are no longer needed are removed by apoptosis and the scar loses its red appearance [21]. The wound healing normally progresses in a predictable, timely manner if not interrupted by any means; otherwise healing may progress inappropriately to transform into a chronic wound or pathological scarring such as a keloid [22, 23]. These scars consist mainly of poorly reconstructed thick parallel bundles of collagens [24]. There are mainly three different kinds of scar tissues depending upon the deposition of ECM [24]: (a) Keloids, (b) hypertrophic scar, and (c) normal scar.
\nClinically, keloids are defined as scars growing beyond the confines of original wounds, which rarely regress over time. Hypertrophic scars, on the other hand, are raised scars that remain within the boundaries of the wound and frequently regress spontaneously. Histologically, collagen bundles in the dermis of normal scar tissues appear relatively relaxed and arranged in random arrays, but keloids and hypertrophic scars have collagen bundles that appear much stretched and aligned on the same plane as the epidermis.
\n\nIn clinical practice wound diagnosis is carried out by clinical signs based on the practice and expertise of the physician. For more quantitative and qualitative assessment, histochemical biopsies are employed. Some methodologies commonly used by the clinicians for wound diagnoses are as follows:
\n(a)
(b)
(c)
Recently noninvasive approaches have been brought in for assessing skin lesions that include magnetic resonance, ultrasound, and photoacoustic and optical techniques with which intravital imaging of the alterations or aberrations in the skin below the surface has been materialized [28]. Among them optical microscopic techniques provide cost effective and wider range of applications of skin tissue imaging.
\nOptical imaging techniques are based on the principles of light and tissue interaction for collecting information that is further analyzed to reconstruct an image of the respective tissue section. Depending on the nature of interactions, such as scattering, absorption, or fluorescence, various information can be extracted to reveal anomalies in the tissue sections. The physiological events associated with such structural anomalies also determine the choice of optical modality needed to address the problem noninvasively. In a few excellent reviews, various optical approaches in skin imaging are listed and discussed depending on the skin conditions [28–31].
\nOptical modalities are comparatively advantageous for their low‐cost, easy to use, non‐ionizing, mostly noninvasive, and non‐contacting attributes. Some of the optical methodologies can provide 3D imaging capability by optical sectioning with high resolution [32–35]. Optical techniques may also be useful in real‐time functional imaging regarding skin physiology [36]. Additionally, most of the skin optical imaging techniques use near‐infrared (NIR) or infrared (IR) wavelengths, which are less absorbed in tissue, hence penetrating deeper, enabling the imaging of the whole skin layer [37–39]. Most common optical imaging modalities include LDI, tissue spectral imaging (TSI), and OCT, which are useful in imaging macro‐masses in skin (macro‐imaging modalities). Optical techniques that are useful in imaging at molecular domain or micro contrasts (micro‐optical modalities) are RCLM, Raman spectro‐microscopy, and laser scanning fluorescence and SHG microscopy. In this section, we are going to discuss the recent advancements in optical techniques that have been applied to evaluate skin wound‐related problems noninvasively or hold potential in this regard. The following is separated into two subsections: the macro‐optical modalities and micro‐optical modalities.
\nDermoscopy or dermatoscopy, also known as epiluminescence microscopy, is the most common basic handheld magnifying tool that aids in first‐line optical observation of morphological abnormalities. Recent dermoscopes use polarized light to illuminate the tissue section to visualize horizontal morphological features that are not visible to naked eye [40]. Dermoscopy has been useful in qualitative visualization of skin‐related abnormalities such as rosacea [41], diagnosis of hair and scalp diseases [41–43], diagnosis of warts caused by human papillomavirus [44], and determination of the surgical margin of hard to define skin cancers [41].
\nThis method has been widely used in observing skin lesions based on the presence of certain architectural characteristics of the lesion, which provide promising possibilities in skin wound healing study, mainly in collagen regeneration during wound remodeling phase [45]. A dermoscope is easy to use and represents a relatively low‐cost first‐line diagnostic tool for skin‐related issues; however it is not quantitative and requires expertise and experience to have fair diagnostic judgment [46]. Its resolution is only enough to see small lumps and lesions in the skin. Additionally, no functional information can be gathered with this technique. Commercial dermoscopes are available in the market for quite a few time. Companies such as Optilia, WelchAllyn, CALIBER, HYMED, and FotoFinder are manufacturing dermoscopy products of various specifications and models with attached digital cameras to it that are capable of videography also.
\nIn LDI, laser light is used to illuminate the tissue section and the backscattered as well as reflected light is collected to image any moving object within the tissue section. With this technique blood flow through superficial skin layer can be calculated based on the Doppler shift introduced by moving blood cells [47, 48]. It is useful in measuring blood perfusion unit [48], which can be applied in extracting useful functional information to assess angiogenesis and endothelial functioning during wound healing [49].
\n(a1) Visible color image of fingertips and (a2) color‐coded blood perfusion map [
LDI is a low‐cost, easy to use noninvasive imaging modality compatible with classical medical instrumentation, where discomfort and risk to patients are minimal. A typical LDI system has a resolution of about 2 mm × 2 mm with an average imaging depth of 200–240 μm [50, 51]. Figure 2(a1) and (a2) depicts a representative comparison of visible (a1) and color‐coded blood perfusion map (a2) [51]. LDI has been reported to be used in imaging microcirculation in burned skin and monitoring blood flow recovery in a skin flap during reconstructive surgery demonstrating its potential for clinical wound assessment applications [47]. There are several other reports of burn wound depth and healing assessment with LDIs in clinical and research settings both on human and animals [50, 52, 53].
\nCommercial instruments based on the principle of LDI are made available by company such as Moor Instruments for skin perfusion assessments. The moorLDI2‐IR laser Doppler blood flow imager can image an area up to 50 cm × 50 cm in one scan in less than 5 minutes. Due to the large area scanning possibility, this method has been very useful in burn wound depth and healing assessment based on angiogenesis.
\nThe main disadvantage of this technique is its limited application only in observation of blood flow, similar to that of laser spackle imaging. It is unable to provide any other functional as well as structural information of skin integrities. The poor resolution in millimeter range is another major limitation of this technique in comparison with other optical techniques. Additionally, the use of visible light illumination in LDI limits its applicability in deep dermal wound assessments.
\nTissue spectral imaging (TSI) is a technique where a tissue of interest is illuminated by a broadband light and collects the reflected or diffused light through selective narrowband filters in front of the detection unit. This technique thus yields several images of specific wavelengths on the same area, providing quantitative measures of the absorbers or scatterers present [54]. Skin has several chromophores such as hemoglobin, melanin, collagen, and other biomolecules which absorb or scatter light and are responsible for skin physiology.
\nA number of modalities of TSI have been commercialized by companies such as HySpex and Specim\'s AisaFENIX. The TSI technique can provide better resolution than LDI, typically up to 0.4–1 μm. Being a wide‐field imaging technique, TSI is unable to provide a detailed 2D sectioned image with better resolution; rather it only can provide a molecular map in a certain area. It also suffers from scattering blur and diffraction limitations and has low penetration depth. Additionally, to gather a meaningful spectral information, it requires enough photon information which makes it a relatively slow method. Even with these limitations, this technique holds potential for functional imaging of blood clotting, blood flow during wound inflammation phase, and angiogenesis during superficial skin wounds. Recent advancements in computational methodologies have shown great promises in real‐time quantitative functional imaging with improved resolution [54].
\nOCT is a technique that captures 3D images of a tissue. OCT uses reflected light from tissue to construct cross‐sectional images from deeper part of the skin. Most common OCTs use IR illumination, which after scattering from tissue is superimposed with a reference light to generate an interferometric pattern that provides high‐resolution 3D depth information by scanning the tissue section in all directions [73–76].
\nOCT has been an established imaging modality in medical diagnosis and research field. Although it is most popularly used in ophthalmology [77], it has also gripped its root in dermatology [78] study such as keratosis [79], skin cancers [80], skin fibrosis [81], and wound healing. Other than that, it has also been reported to be used in other dermatological problems such as inflammatory diseases and parasitic infection and those of the nails [75, 76]. Recent advancement in OCT allows use of polarized light to image extracellular matrix and other connective tissues in the skin layer that are polarization sensitive [82, 83]. Reports also suggest use of phase‐resolved OCT for imaging blood flow in the skin [84]. There are a few excellent reviews that have listed and discussed various applicable possibilities for OCT in dermatology [83, 85, 86].
\nIn diagnosis of wound healing, there are reports of comparing healing assessment of acute wound [87] and superficial wound caused by bacterial infection on mice by OCT to histological findings [88]. A study had reported quantitative evaluation of healing kinetics at real time after fractional laser therapy by OCT demonstrating excellent correlation with findings from histopathological observations [89]. In an in vivo study, OCT has effectively evaluated the various stages of wound healing in 12‐day long healing process recognized by re‐epithelialization in the early stage, followed by thickening of the epithelial layer around 10th day and formation of scar tissue composed of extracellular matrix along with thickening of epidermal layer in the final stage [90].
\nOCT\'s most promising advantage is its ability of axial sectioning and 3D imaging of a tissue mass. OCT techniques using IR light sources are suitable imaging modalities for deep tissue topographical imaging of skin disfigurement. Although the resolution of OCT is lower compared to CLSM or 2PFM or SHG microscopy, the associated resolution degradation with depth is much smaller. OCT cannot produce images at cellular or fibrous molecular resolution; hence it is incapable of imaging a single‐cell structure or fibrous collagen structure in the skin dermis [30]. However, in comparison to other macro‐optical methodologies, OCT exhibits better resolution. In fact, with sophisticated design, OCT can also achieve a resolution of few tens of micrometer. OCT was also reported to provide even more detailed structural information of a larger mass of tissue than 2PFM at depth of 2–3 mm while imaging thermally injured wounds [91]. OCT is a useful noninvasive technique that has huge potential for wound healing research and assessment. Figure 2(c) represents a typical OCT image [25].
\nOCT has been commercialized by companies such as Optovue, NinePoint Medical, and Thorlabs; two such models from Thorlabs are Ganymede II IR‐OCT system and Telesto series spectral domain OCT systems. These systems are mainly operated in IR domain with line scan rate within the range of 5.5–76 KHz.
\nMicroscopic imaging based on Raman vibrational spectroscopic contrast provides a useful noninvasive approach for visualizing skin tissues and the corresponding architecture with molecular specificity. A typical Raman microscope detects vibrational scattering changes introduced by the Raman‐active molecules in tissue. Molecules rich in CH2 bonds, such as protein and lipid, are good Raman contrast agents and can be interpreted to visualize structural changes occurring in different skin strata [92–94]. An automated Raman micro‐spectrometer in confocal settings was reported to be used to determine water concentrations in hydrated and non‐hydrated stratum corneum, showing the capacity of this method [95]. However, spontaneous Raman signal is very weak. The Raman detection can be significantly enhanced by CARS. It can visualize structural fibers such as collagen and elastin that constitutes the human dermis along with subcutaneous layer rich in lipids, due to the high density of CH2 bonds [96–98]. CARS microscopy is the method of choice for studies that require visualization of fat in tissues, which can very effectively characterize obesity in murine skin in vivo [99]. While imaging superficial tissue layers, CARS can provide strong signal from the fat component of the skin that allow video‐rate imaging.
\nVideo‐rate CARS imaging can be used for imaging lipid lamellae of the stratum corneum, sebaceous glands, and dermal adipocytes, and the fat‐containing cells of the subcutaneous layer with imaging depths of up to several hundred micrometers, promising a potential methodology for noninvasive molecular imaging [97]. Recently CARS has also been used in studying transdermal delivery of retinol in mouse ear, a drug with strong CARS signal that stimulates collagen growth in skin and was located in corneocytes of stratum corneum [100].
\nKönig and his group have reported a CARS tomography system for skin imaging suitable for clinical environments that is capable of in vivo histology with subcellular resolution and chemical contrast toward patients suffering from psoriasis and squamous cell carcinoma [101]. Their system also has the potential to be used in studying skin wound healing. Although Raman imaging in the form of CARS can provide high‐contrast functional imaging with subcellular resolution, it is, however, mostly limited to Raman‐active molecules only. In comparison, the Raman scattering cross section is very small which translates to very weak signal intensities, thus requiring very high density of molecules or very long acquisition times in order to acquire a meaningful image.
\nA commonly used wide‐field microscope provides a two‐dimensional image, typically in histological observations of biopsies. However it has several drawbacks, including low resolution, low penetration depth, slow imaging rate, and inability to have functional imaging. It delivers poorer image contrast and lacks optical sectioning capability. In contrasts, a laser scanning microscope (LSM) provides a few numbers of platforms for imaging that are improved with respect to all aspects mentioned above. Among them confocal microscopy in linear domain and two‐photon fluorescence microscopy (2PFM) and SHG in nonlinear domain are most prominent. Confocal laser scanning microscopy (CLSM) has several advantages over traditional microscopy, including faster data acquisition, optical sectioning of cells and tissues for 3D imaging, and significantly improved spatial resolution [39, 102, 103]. The pioneering work of Minsky, in the year 1957, initiated the development and the first commercialized CLSM was realized in 1987 [104]. However, CLSM has a relatively lower penetration depth compared to MPM, due to the shorter wavelength used. Single‐photon confocal microscopy obtains an image section at the expense of photon efficiency, attributing to the spatial filtering pinhole [39, 105, 106]. The overexposure would cause photo bleaching of the sample. As a result, only highly photostable fluorophores work well with this technique. In comparison, MPM uses IR excitation which reduces photo bleaching in a confined way and allows imaging depths of up to ∼2 mm. The nonlinear effect forms a virtual pinhole and saves the trouble of precision alignment needed for a physical pinhole [39, 106].
\nIn RCLSM, a pinhole at the confocal image plane eliminates out‐of‐focus signal to realize optical sectioning for 3D imaging. It uses a focused laser beam for excitation and forms the image by point to point scanning, usually by a pair of computer‐controlled galvano mirrors [32, 33]. The reflected light signal is collected by a photo detector after the pinhole. The reflected signal is de‐scanned by the same pair of galvano mirrors so the alignment of pinhole is straightforward [107]. The configuration is widely used in commercially available confocal microscopes for skin imaging [33, 107]. It has also been used for assessing and monitoring cutaneous wound healing by evaluating the cellular and morphological parameters of wound bed and wound margins noninvasively over the course of healing [102]. In the reported study, patients with chronic leg ulcers and skin cancers receiving split skin graft were evaluated against healthy individuals, in which various physiological signatures of wound healings at different phases were documented. For example, appearance of inflammatory cells in the epidermis during the early stage of wound healing, proliferative keratinocytes and their migration during granulation and re‐epithelialization phases, and the networks of connective tissues during remodeling phases were observed with reflectance CLSM [102].
\nA commercially available CLSM in reflectance mode is VivaScope®1500 that has planar and axial resolution of 1.25 and 5.0μm, respectively, with an imaging depth up to 200 μm. Its image acquisition speed of 9 frames per second allows real‐time videography of wound healing. Figure 2(d) represents a reflectance confocal microscopy image by detecting backscattered 830 nm light from a human nevus with the system [25].
\nAlthough these instruments are widely used, they are limited to surface imaging only. Therefore, they are not suitable for evaluating deep dermal wounds. Nevertheless, they can image wound margins, which may provide crucial semiquantitative information regarding wound healing with a resolution comparable to that of histological analysis [30]. The reflection contrast‐based CLSM is frequently used for structural imaging but is incapable of molecular functional imaging. A typical CLSM has much improved resolution and faster scanning rate than OCT. However, it may be limited by photo bleaching and diffraction blurring when compared to multiphoton techniques.
\nConfocal fluorescence microscopy is a technique that allows imaging of living tissue by collecting fluorescence emission from the chromophores present in the tissue. In single‐photon fluorescence imaging, a fluorophore absorbs a single photon to be excited into a higher energy state before emitting the fluorescence, and comes down to original lower energy state. The simplest fluorescence imaging instrumentation uses a laser to illuminate the skin at a specific excitation wavelength and collects the filtered fluorescence emission with a detector bearing an optical filter in front of it.
\nFluorescence imaging can be done with either staining the tissue by exogenous fluorescent materials or imaging endogenous fluorescence from skin\'s natural fluorophores. Indocyanine green (ICG) is one commonly used exogenous fluorescence dye that can be located in systemic circulation, which allows the imaging of vascularization and the determination of imaging depth [108]. This technique has been shown to quantitatively measure blood flow in the cutaneous wound that is well correlated with the histological assessment of burn depth [108]. As mentioned in Section 2, endogenous fluorophores, NADH, FAD, and collagen are all important markers in wound healing processes that can be used for wound diagnosis [36, 109].
\nAlong with NADH and FAD, collagen is another abundant molecule present in the skin dermis that is autofluorescing. It can serve as a marker upon exposure to the 325 nm He‐Cd laser treatment (∼2 J/cm2) during skin tissue regeneration, as shown in mouse model by detecting the collagen autofluorescence intensity [110]. In another comparative ex vivo and in vivo study of wound granulation by the same group, normalized NADH/collagen autofluorescence intensity was used to assess collagen deposition during healing [111].
\nConfocal fluorescence microscopy can provide real‐time functional imaging of cells and tissues with improved resolutions. However single‐photon imaging may be limited by photo bleaching and low penetration depth. Alternatively, MPF imaging would improve photo stability with deeper penetration.
\nIn multiphoton imaging a simple confocal laser scanning microscope is used with an ultrafast NIR laser source. The pinhole is usually removed and the detection unit is modified with specialized filters. Multiphoton laser technique greatly improves resolution and penetration depth than macro‐optical modalities. Its optical sectioning ability does not require a pinhole, which reduces alignment difficulty and the volume of photo bleaching. Additionally, the NIR excitation wavelengths are shown to extend the limit of deep tissue imaging up to 2 mm.
\nIn tissue imaging, commonly used multiphoton techniques are 2PFM and SHG imaging. In 2PFM, the fluorophores absorb two photons simultaneously to be excited to a higher energy real state before emitting the fluorescence, while in SHG, the two photons of the same energy would combine to form a new photon of twice the energy of the incident photon. Biomolecules such as collagen and muscle myosin with noncentrosymmetric molecular structures have the ability to generate SHG signal [8, 112–114]. Skin can be imaged with both fluorescence and SHG contrasts simultaneously with the help of a laser scanning MPM [36, 115]. Zoumie et al. in their study of a tissue model have described spectrally resolved imaging of different parts of the skin layers by a combined 2PFM and SHG setup [115]. They detected fluorescence from cellular NADH and SHG from collagen. The study of wound healing with fluorescence and SHG is discussed in the following paragraphs.
\nCellular NADH autofluorescence in two‐photon modality has been used as marker for morphological characterization of epithelia both in vivo [116–118] and ex vivo [119] for animal and human tissues as well as fresh biopsies [120]. It enables optical microscopic imaging being equivalent to histochemical analysis. With the help of 2PFM imaging, various epidermal layers of in vivo skin were discriminated at subcellular spatial resolution based on cellular morphological features [31]. Additionally, the time‐correlated single‐photon counting technique in conjunction with 2PFM has made functional imaging possible by measuring the lifetime of fluorophores. This technique, termed as fluorescence lifetime imaging (FLIM), is very effective in determining real‐time cellular metabolic activity in vivo by measuring the fluorescence lifetime decay of NADH. Cells located in the basal layer exhibit the strongest metabolic activities, while epidermal surface layered cells are found to have lower metabolic activities. FLIM has demonstrated its capacity in characterizing epithelial tissue involved in wound healing and other pathological conditions [31].
\nNADH, being a metabolic coenzyme, is associated with the cellular metabolic activities through the electron transport chain (ETC) of oxidative phosphorylation. NADH has two functional forms, free and bound. During the process of energy generation, free NADH is bound to mitochondrial membrane proteins [36]. Although the fluorescence emission spectra of both free and bound forms of NADH fall in a very narrow band, their fluorescence lifetimes are well separated. When NADH binds to a protein, its lifetime increases from ~0.4 to ~2.5 ns [121–123]. Therefore by evaluating the contribution of free and bound states to the combined double exponential lifetime, the relative concentrations of individual states can be predicted. In simple words, a cell with higher metabolic activity has a higher concentration of bound NADH than a cell with lower metabolic activity. In addition to that the ratio of bound form NADH to bound form of FAD, termed as cellular redox ratio, can also be a marker for relative metabolic activity determination [124].
\n(a) Representative color‐coded NADH free/bound (a1/a2) lifetime ratio images (left column) and gray‐scale SHG intensity images (right column) of collagen regeneration during wound healing [
The cellular metabolic parameters are viable markers for evaluating wound healing. We have demonstrated on live rat models that the cellular metabolic rate correlates well with wound healing phases [36]. In the study, artificially created incisional wound by punch biopsy was used to evaluate the wound healing from the day of wound formation to scar formation in a 20‐day healing course with 2PFM and SHG microscopy. The relative metabolic activities of cells involved in the process of wound healing as time progresses were evaluated by the NADH bound to free ratio, while the changes in collagen concentration are correlated with SHG intensity. These findings suggest the metabolic activities at the wounded sites increase during inflammatory and granulation phases and gradually decrease as wound heals (Figure 3(b)). Interestingly, in the beginning of healing, SHG intensity decreases (or collagen concentration), indicating the degradation of collagen in the dermal layer during cell migration. Once new collagens were formed, SHG signal started to increase gradually (Figure 3(c)). In general, wounds heal gradually from the edge toward the center; hence the metabolic activities are higher at the edge in the early stages of wound healing, marked by the higher bound to free NADH ratio in lifetime measurement. However, in the proliferative phase the center has higher metabolic activity than the edge since the edge has entered the remodeling phase, in which cell activity decreases and collagen is deposited to fill the wound gap, marked by the increase of SHG intensity. Following the proliferative phase, the whole wound is filled with granulation tissues, mainly collagen, and the cellular metabolism decreases gradually. The wound then heals into a scar, composed of connective tissues marked with higher SHG signal intensity than that from a normal tissue. The lack of cells in scar tissue reduces the need for blood influx, which results in removal of blood vessels by apoptosis and leaves a scar tissue characterized by lower metabolic activity and higher collagen deposition.
\nThe changes of the NADH free to bound ratio (Figure 3(b)) and the collagen SHG intensity (Figure 3(c)) exhibit as the signature of the various phases in wound healing, which can be used for crucial diagnosis and proper treatment. With the simultaneous measurements of 2PFM and SHG, a correlation between cellular metabolic activities and collagen regeneration can be observed. In Figure 3(a), the morphological features of cells and their gradual appearance in wound region and structural evolution of collagen in a healing wound, acquired by 2PFM and SHG, respectively, are demonstrated. The disordered collagen in normal skin is degraded and more structured collagens are deposited in the process of scar formation as shown in Figure 3(a).
\nSimilar results have also been reproduced by other researchers using combined SHG and 2PFM imaging, where disorganized collagen in fibrin clots and inflammatory cells involved during the early stage of wound healing are distinguished from more organized and aligned collagens in regenerated new skin [125].
\nSHG is also used in showing the orientation of collagen fibers and their structural changes in the healthy tissues of human dermis [126–129] as well as in in vivo tissue constructs [130]. The efficiency of SHG signal is highly sensitive to the collagen orientation when the incident light is polarized. Along with intensity measurements, polarization‐resolved SHG provides information on collagen alignment and orientation during regeneration, which is correlated to wound closure and the way scar tissue forms [131].
\nPolarization‐resolved SHG indicates that collagens are more organized and fibrillary during the proliferative phase, to aid in wound closure when the margins are pulled together by them [132]. In this way, the anisotropic variation of collagen during wound healing can be monitored by collecting the parallel (
Representative polarization‐resolved SHG intensity images of wound biopsy samples taken at different healing stages. The first row depicts the images with the parallel (
In clinical setting, multiphoton imaging of human epidermis and upper dermis has been achived by commercial system such as DermaInspectTM that is able to scan an area of 350 μm×350 μm with special resolution of 1 μm in lateral and 2 μm in axial directions [25]. The system provide non-invasive in vivo optical biopsies of skin at subcellular resolution by detecting autofluorescence from biomolecules such as NADH, flavins, porphyrins, elastin and melanin and SHG signals from collagens.
\nWound healing is an important physiological process that follows a certain sequential order. Migration of various cells and the involvement of certain molecules at the wound site characterize the various phases during healing progression. Detailed quantitative and qualitative information of these components at a specific time provides critical insights on wound healing. Optical methodologies are versatile and include techniques that can gather a wide variety of information on multiple components noninvasively, which presents tremendous future prospects in terms of clinical implications. The available modalities present enormous potentials to supplement clinical assessment and to aid research in the field of cutaneous healing and skin tissue regeneration.
\nThe versatile optical modalities discussed in this chapter have their own significance in assessing specific wound‐related problems. Some modalities are simple and easy to operate, which provide relatively low‐cost first‐line diagnosis. More complex techniques can provide better resolution and sophisticated structural information. By judicially combining various contrasts from the skin components, these optical techniques can address a wide variety of skin wound‐related issues. These can include observations of subsurface morphological features using dermascope, blood flow using LDI, molecular and functional signatures using TSI, structural revelation using OCT, RCLM and SHG microscopy, or molecular identification with Raman and fluorescence imaging. Each technique would provide unique yet complimentary information.
\nMultimodal MPM presents the most sophisticated approach for quick, qualitative, and quantitative skin wound healing study as it integrates multiple contrast mechanisms for imaging the skin. Specifically, 2PFM and SHG are favorable in wound assessment for their high‐resolution, better penetration depth, optically sectioned 3D imaging with the provision of structural and real‐time molecular functional signature.
\nEmerging super resolution imaging based on saturation excitation (SAX) of scattering from metallic nanoparticles may extend the possibilities of super resolving the skin abnormalities [134]. Ointments and sunscreen lotion could effectively carry the nanoparticles into skin epidermis to facilitate the new optical techniques. With the ongoing rapid advancements in photonics and imaging, one can expect new and novel techniques will find unprecedented and enlightening applications in dermatology in the coming future.
\nThere is a need of developing wind energy solutions capable to adapt fluctuating flow resources to have a diversified energy portfolio for the energy demand in Colombia [1]. The Chicamocha’s canyon topography does not allow a stable electrical grid, which difficulties the incentives for tourism and commodities at the location, and the local community needs a sustainable source of energy that does not impact the environment. Therefore, this work assembles the feasibility for installing Vertical Axis Wind Turbines (VAWT) along with an optimal design.
The performance of a VAWT relies principally on its airfoil and blades, which generate lift and drag forces that take advantage of the wind kinetic energy to produce torque at the shaft of the turbine. The airfoil design and selection is an important task that depends on three main topics: wind flow conditions, airfoil shape, and modeling. The Darrieus VAWT blades design are based on lift aerodynamic forces and commonly use the commercial NACA0018 airfoil, and its performance varies according to the wind velocities [2]. Claessens [3] developed the DU06W200 airfoil for VAWT turbines, which overcomes the aerodynamic performance of the NACA0018 under high wind velocities than the calculated at Chicamocha’s Canyon nature. Yarusevych and Boutilier [4] analyses a similar Reynolds number but only one angle of attack is analyzed. Therefore, Garcia Rodriguez et al. [1] complements previous studies by increasing the range of Reynolds numbers analyzed for the DU06W200 airfoil, providing further information about the aerodynamic global coefficients and analyzing the performance of both airfoils under different attack angles.
In addition, different geometrical factors related to Power Coefficient
The Chicamocha’s canyon national park, known as “PANACHI”, monitor constantly the wind velocity at the canyon to control the cableway safety installed at the location. The administration of the park provided to [1] research the historical data from the year 2009 up to 2012. The wind velocity magnitude is characterized at three different locations: the two highest points of the location (“Mesa de Los Santos” and “PANACHI”) and the river point.
The wind energy potential of the canyon is analyzed by using the mass conservation principle Eq. (1):
where
Manwell et al. [5] establishes how significant the wind energy potential is at a selected location (Table 1).
Poor | |
Good | |
Excellent |
Wind power potential criterion [5].
The annual average wind speed and wind power density of the three locations are shown in Table 2. Garcia Rodriguez et al. [1] concludes that the suitable VAWT location is at Chicamocha’s river due to its high wind speed, 6.9
Place | Annual average wind speed [m/s] | Standard deviation | Annual average wind power density [W/ |
---|---|---|---|
“Mesa de los santos” | 5.9 | 0.736 | 306.188 |
Chicamocha’s River | 6.9 | 1.084 | 485.115 |
“PANACHI” | 4.3 | 0.536 | 86.643 |
Wind power potential at Chicamocha’s canyon [1].
An airfoil is identified using its aerodynamic parameters [5] as shown in Figure 1. The mean curve line is the focus midway points between the upper and lower surfaces of the airfoil. While the straight line connecting the leading and trailing edges is called the airfoil chord line, and the distance from the leading edge to the trailing edge measured along the chord line is known as the aerodynamic airfoil’s chord (c). Finally, the angle of attack, α, is defined as the angle between the relative wind (Urel) and the chord [6].
Aerodynamics nomenclature [
The airflow over an airfoil produces a force distribution on the surface. The flow velocity increases over the convex surface resulting in lower average pressure on the “suction” side of the airfoil compared to its concave “pressure” side. Meanwhile, the viscous friction between the air and the surface of the airfoil slows the airflow to a certain point near the surface [6].
There are three forces of vital importance for aerodynamic analysis as seen in Figure 2, which are:
The lifting force goes in the perpendicular direction to the incident airflow. The lift force is a consequence of the pressure differential generated between the upper and lower surfaces of the airfoil.
Drag force is the tangential component and occurs due to friction forces on the surface of the airfoil
Pitch moment is defined around a perpendicular axis to the cross-section of the airfoil.
Lift and drag coefficients: The lift and drag forces (per unit length of the blade) are usually expressed as a function of two coefficients CL and CD in Eq. (3) and Eq. (4) respectively.
Forces and moments in an aerodynamic section, an angle of attack; c, chord. The direction of positive forces and moments is indicated by the direction of the arrow [
where c is the chord of the blade. The lift and drag coefficients are expressed as a function of the angle of attack (γ). Figure 3 shows the typical coefficients of wind turbine blades. Note that the CL coefficient grows approximately linearly with the angle of attack, while CD remains at a low value. For angles of attack greater than 13°, CL decreases while CD grows rapidly, and the blades go into loss.
Coefficients of lift and drag of a blade [
The power output is produced through the lift force generated on the airfoil surface. As the turbine rotates, the airfoils encounter an incident wind velocity that is the vector summation of the surrounding flow velocity and the turbine rotation Figure 4 [8].
Vertical axis wind turbine principle of operation. α is the relative angle of attack of the incident flow velocity U incident, and e is the angle of rotation [
Defines the characteristics of flow conditions Eq. (5):
where μ is the fluid viscosity,
Brusca et al. [9], defined the Reynolds number based on the chord (
where
where σ is the solidity,
The Reynolds number strongly influences the power coefficient of a vertical-axis wind turbine. Furthermore, it changes as the main dimensions of the turbine rotor change. Increasing rotor diameter rises the Reynolds number of the blade.
The turbine performance is given by the power coefficient
where
where
The solidity and Tip Speed Ratio of the turbine are directly related with the
The solidity of the turbine (σ) it can see in Eq. (12), is defined as the developed surface area of all blades divided by the swept area [11].
σ has a strong influence on VAWT performance. High solidity machines reach optimum efficiency at a low Tip Speed Ratio (λ) and efficiency drops away quickly on either side of this optimum [12].
A low solidity results in less total blade area, therefore, the blade is lighter. This benefits wind turbine performance as higher rotation speeds can be reached [6].
Paraschivoiu [11] establishes that a maximum
In Figure 5, it can observe when the solidity is increased from 0.05 to 0.2, the static torque coefficient will increase by a factor of approximately 4 for an H-Darrius wind turbine. Therefore, for a high solidity, the turbine has a self-starting capability, because it has a higher static torque coefficient than the low solidity turbines [15].
Solidity effect on the static torque coefficient [
Increasing
The speed ratio (λ) is a ratio between the tip blade speed (ω.R) and the freestream wind velocity, and this ratio is defined as following in Eq. (13):
In Figure 6 it can see a relation between the azimuth angle (ɵ), the angle of attack (α), and the speed ratio (λ), this relation is as follow in Eq. (14):
Forces and velocities distribution on Darrius rotor airfoil [
Zouzou et al. [16] conclude in his investigation that a variable pitch VAWT has a major advantage respectively to fixed pitch VAWT in the case of high solidity rotor where the blade wake is large. That is because the pitch variation of the blade reduces flow separation and as result, the drag forces are lower. Figure 7 shows the relationship between the drag force and the λ and the comparison between the fixed and variable pitch.
The drag force of the different wind turbine configurations depends on the specific speed TSR.
The
Attack angle variation vs. azimuthal angle for two tip speed ratios of 0.5 and 1.5 at θp = 0° [
For VAWT λ is lower the common range is (λ = 1; λ = 5), this ranges of λ values refer to the Wind Turbine peak (
Performance of main conventional wind machines and possible areas for new hybrid designs [
The
According to Posa [19] there is a relation between λ and the establishment of the flow downstream of a VAWT, this is related to the optimal distance between turbines in wind farm configurations. Establishing the downstream flow of a VAWT to its far-wake behavior takes a shorter distance at higher λ values.
VAWT design correlates geometrical characteristics of the rotor with the Power Coefficient (22) of the turbine. The influence of the main aerodynamic design parameters is compared with the operation of turbines [20]. This section presents the considerations and parameters necessary for the construction of VAWT turbines. The design procedure taking aerodynamics into account can be expressed as follows:
Application and desired power
Geometrical aspects
Airfoil selection.
The VAWT turbines have different applications [21] to generate electricity, pump water, purify and/or desalinate water by reverse osmosis, heating, and cooling using vapor compression heat pumps, mixing and aerating bodies of water; and heating water by fluid turbulence. Rathore et al. [22] suggests VAWT use on highways, in which vehicles travel at high speed in both directions producing an acceleration of the surrounding wind that can be used by turbines located in the separators.
To do so, the power (
Among the main aspects of VAWT turbines are the chord length (c), rotor height (H), rotor diameter (D), and aerodynamic airfoil (Figure 10).
Schematic view of the architecture of the Darrieus turbines [
The relation Φ is analyzed from the turbine shape indicating the visual proportions of the turbine. On the other hand, for a fixed sweep area, low Φ values are characteristic of turbines in which optimal flow conditions are obtained in the aerodynamics airfoil, due to large diameters that increase the peripheral speed. On the contrary, high values of Φ can be related to turbines where blade efficiency is preferred [20].
The Darrieus rotor has low aspect ratios to minimize the length of the blade and the center column for a given swept area. If the Φ is increased, then the rotor speed increases (to maintain the same relative wind speed and tip speed ratio), and torque decrease if power is constant [11].
High ξ values indicate that chord length is increased to improve the Reynolds number, while low values relate to rotors in which the relative wind speed increases proportionally to the relative wind speed on the aerodynamic airfoil [20].
The swept area of the turbine (Figure 10), corresponds to the amount of air that is dragged by the turbine blades. In particular, the larger sweep areas guarantee fewer demanding limits of the turbine radius, therefore a high peripheral speed is obtained leading to a good Reynolds number on the blades.
The energy capture is proportional to the swept area and the cube of wind velocity. It is important to identify an equilibrium between energy capture and the cost of the swept area, a bigger area means more manufacturing cost of the turbine. The parameters Φ and ξ are geometric parameters that allow modifying the swept area of the turbine, they are directly related to the design of VAWT turbines.
According to Paraschivoiu [11] for given solidity, it is structurally advantageous to have fewer blades of a larger chord rather than more blades of a smaller chord. This is due to the bending stresses which are dependent on the square of the chord size whereas the aerodynamics loads are dependent on only the first power of the chord. For these reasons, the VAWT have generally two or three blades, but each design is unique for each application, therefore, it’s important to analyze the relationship between the geometric parameters as the solidity and the
Item | Three blades | Two blades |
---|---|---|
Construction Cost | Higher | Lower |
Assembly Cost | Higher | Lower |
Choice of fabrication techniques | Better | Poorer |
Strength/Weight ratio | Poorer | Better |
Torque ripple | Better | Poorer |
Structural dynamics | Better | Poorer |
Advantages of two or three blades [11].
The VAWT blades’ performance depends largely on the airfoil behavior, which is selected or designed in terms of the wind flow conditions of the feasible location [1].
Employing CFD modeling, Garcia Rodriguez [1] found that the DU06W200 airfoil aerodynamics performance is larger than NACA0018 under the Chicamocha’s canyon wind energy conditions. Table 4 summarizes the calculated aerodynamic coefficients of the most feasible point, proving the advantage of considering the DU06W200 airfoil [1].
Airfoil | Cl | Cd |
---|---|---|
0.707 | 0.0801 | |
0.876 | 0.0853 |
Lift and drag coefficients of the airfoils NACA0018 and DU06W200 under Chicamocha’s canyon wind speed [1].
According to Liu et al. [24] the VAWTs are categorized as drag or lift-based devices. The first ones utilize wind drag on the blades to rotate and the last one utilizes the lift on the blades. In Figure 11 it can observe these categories.
Schematic view of different types of VAWTs from left to right: S-type Savonius wind turbine, straight-type, Troposkien-type, and helical-type Darrieus wind turbine [
The Drag-based turbines have the advantage of self-starting ability, and they are commonly found as small-sized turbines in urban and remote areas with relatively low wind speed. These turbines generally are not preferred due to high solidity, heavier weight, and low efficiency. One example of this turbine is the Savonius turbine [24], Figure 12 shows characteristic parameters of a Savonius wind turbine with two semicircular airfoil blades.
Two bladed Savonius rotor [
The Savonius turbine produces high torque at low tip-speed ratios (
According to Zemamou et al. [25] the number of blades has an important impact on the turbine performance. For obtaining the highest value of the
The Cp variation with the TSR for two & three blades [
The lift-type turbine consists of airfoil sections that capture the wind energy using the lift force. This lift force produces torque on a shaft, which can then be connected to a generator to produce electricity as power output [15]. The advantage of this configuration is their simple and extruded blades, hence lower manufacturing costs [24]. The straight type, Troposkien type, and helicoidal type are examples of this configuration.
These blades usually are used in small-scale, fixed pitch, rooftop designs are commercially available for domestic and other applications. The straight blades have a high value of
Darrieus WT type straight blades with two and three blades [
According to Ali and Sattar Aljabair [27] this configuration is better than the type helicoidal at low wind velocity, also, the power coefficient values for DWTs straight model with 2 blades are higher than other models as can see in Table 5. The Straight blades present a higher value of
DWT type | Number of blades | Wind velocity self-starting (m/s) | ||||||
---|---|---|---|---|---|---|---|---|
3 | 4 | 4.5 | 4.85 | 5.15 | 6.45 | 7.65 | ||
Straight | 2 | 0.2495 | 0.2506 | 0.2635 | 0.275 | 0.2895 | 0.3076 | — |
3 | 0.2407 | 0.2494 | 0.2606 | 0.2678 | 0.2846 | 0.3065 | — | |
Twisted 70° | 2 | 0 | 0 | 0 | 0 | 0.0372 | 0.0757 | 0.1216 |
3 | 0 | 0 | 0 | 0.0195 | 0.0597 | 0.1008 | 0.1323 | |
Helical 120° | 2 | 0 | 0 | 0 | 0 | 0.0449 | 0.0690 | 0.0889 |
3 | 0 | 0 | 0 | 0.0427 | 0.0789 | 0.1332 | 0.1465 |
The (CP) at various wind velocities for DWT models number [27].
The numerical relationship between CP and TSR for the DWT models has 2 blades [
The Troposkien architecture is characterized by hub-to-hub blades, this configuration offers a lower aerodynamic drag (compared to the H-shaped one), which minimizes the bending stress in the blades [28]. In Figure 16 it can see the Troposkien type.
The Troposkien rotor [
According to Battisti et al. [28] the Troposkien type is more efficient than the H-shaped configuration (two straight blades) at high values of TSR as can see in Figure 17. On other hand, for low values of TSR, the Troposkien present a lower
Rotor power coefficients, as a function of the equatorial tip speed ratio [
Quite similar behavior is registered for low wind velocities and a cut-in wind speed of 6–6.5 m/s is observed. For high values of wind velocity, the Troposkien is capable to generate significantly more power than the H-shaped configuration as shown in Figure 18. This quite different behavior could relate to the higher blade Reynolds number, which promotes an improved aerodynamic efficiency, in the investigation of [28], the radius of the Troposkien type is bigger than the H-shaped type to maintain the same rotor swept area. For this reason, the Troposkien type have a bigger
Power curves for the two analyzed rotor configurations [
Helical H-rotor distributes the blade airfoil along the rotor perimeter uniformly, thus making the swept area as well as the blade sections constant to the wind in all cases of turbine rotation [29]. In Figure 19 it can observe the Helical type.
Helical design [
Tjiu et al. [29] made a comparison was made between the helical, straight, and Troposkien types. The comparison was made using 3 blades using the NACA 0015 airfoil with a TSR of 5. The behavior can be seen in Figure 20 where it can be observed that the Troposkien typology obtained the highest fluctuation with a Cp value of approximately 0.3, the straight blades typology had a fluctuation in the Cp of 0.2 and the lowest fluctuation was obtained by the helicoidal rotor with a variation of approximately 0.03 Cp. However, despite the benefits obtained, the helical blades are more expensive to manufacture, so depending on the desired application and the available budget, a middle point must be chosen for the selection of the different types of rotors.
Power coefficient variations of a typical Troposkien rotor, H-rotor, and helical H rotor.
A critical factor in the feasibility of power generation with VAWT turbines is the self-starting of the turbine, according to Ali and Sattar Aljabair [27], at a wind speed of 3 m/s, the VAWT with airfoil DU06W200 has the capability of self-starting as seen in Table 6. The straight blade type has better performance because the turbine can self-start at lower wind velocity than the others turbines.
DWT type | Number of blades | Wind velocity self-starting (m/s) |
---|---|---|
Straight | 2 | 3 |
3 | 3 | |
Twisted 70° | 2 | 5.75 |
3 | 5 | |
Helical 120° | 2 | 6.5 |
3 | 6 |
The wind speed at which Darrieus WT models can be DWT auto-started [27].
The straight blade configuration offers the flexibility to adjust the swept area. Rotor height and diameter can be independently adjusted to suit each design. In addition, this configuration is usually mounted on a tower, which provides higher stability, lower bending, and torsional stresses on the blades compared to the Troposkien topology. Similarly, the gravity-induced bending stress is lower in the straight-bladed configuration as they are stiffer with the same chord length and thickness as the blades of a Troposkien rotor. In addition, they are vertically positioned and suspended by supports, so they are not subjected to constant bending stress due to gravity [31].
In his investigation Meana-Fernández et al. [13] proposes an optimized design for medium and low wind speed which presents a maximum 𝐶𝑝 of 0.5798 and 0.5996 respectively, as observed in Table 7.
Wind speed | Medium | Low |
---|---|---|
Number of blades N | 3 | 3 |
Rotor radius R | 1 m | 3 m |
Rotor height H | 3 m | 5 m |
Blade chord c | 111 mm | 333 mm |
Rotor solidity | 1/3 | 1/3 |
Airfoil | DU-06-W-200 | DU-06-W-200 |
Nominal Wind speed | 9 m/s | 4.5 m/s |
Rated power | 1.5 kW | 1 kW |
Maximum power coefficient | 0.5798 | 0.5996 |
Characteristics of the proposed VAWT designs [13].
The type of blades used by [13] were straight blades, it is observed that the proposed design presents a good performance for both medium and low wind speed. It should be noted that for low speeds, as described throughout this section, straight blades perform well without the complexity of construction and high manufacturing cost of the helical type for example, or the instability and torsional stress produced by the Troposkien type.
The current literature review analyzes a full VAWT design and installation facility by considering the site wind energy potential, the airfoil performance analysis, and the 3D blade type selection. Experimental and theoretical formulations are referenced to validate the proposed method, leading to an optimal VAWT design. It is found that Chicamocha canyon’s large wind energy potential is found at its river, and the critical point is found at one of its boundaries locations (“Mesa de Los Santos”). This wind velocity is taken as a baseline point to select the airfoil and blade designs, as is the minimum value to overcome inertial effects to start VAWT rotation. Literature found that using DU06W200 airfoil, improves by 23% the aerodynamic performance of the VAWT airfoil blades, the reason why is selected to move on at the current design. Finally, the literature review shows that considering 3 straight blades on the VAWT design, complements the airfoil design and selection, as these blades have shown experimentally an accurate performance under the analyzed critical wind flow conditions. The future work will design the size of the VAWT blades and optimized the current proposes, to reach a feasible domain to be used in local facilities.
The authors declare no conflict of interest.
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Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8018",title:"Extracellular Matrix",subtitle:"Developments and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/8018.jpg",slug:"extracellular-matrix-developments-and-therapeutics",publishedDate:"October 27th 2021",editedByType:"Edited by",bookSignature:"Rama Sashank Madhurapantula, Joseph Orgel P.R.O. and Zvi Loewy",hash:"c85e82851e80b40282ff9be99ddf2046",volumeInSeries:23,fullTitle:"Extracellular Matrix - Developments and Therapeutics",editors:[{id:"212416",title:"Dr.",name:"Rama Sashank",middleName:null,surname:"Madhurapantula",slug:"rama-sashank-madhurapantula",fullName:"Rama Sashank Madhurapantula",profilePictureURL:"https://mts.intechopen.com/storage/users/212416/images/system/212416.jpg",institutionString:"Illinois Institute of Technology",institution:{name:"Illinois Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9759",title:"Vitamin E in Health and Disease",subtitle:"Interactions, Diseases and Health Aspects",coverURL:"https://cdn.intechopen.com/books/images_new/9759.jpg",slug:"vitamin-e-in-health-and-disease-interactions-diseases-and-health-aspects",publishedDate:"October 6th 2021",editedByType:"Edited by",bookSignature:"Pınar Erkekoglu and Júlia Scherer Santos",hash:"6c3ddcc13626110de289b57f2516ac8f",volumeInSeries:22,fullTitle:"Vitamin E in Health and Disease - Interactions, Diseases and Health Aspects",editors:[{id:"109978",title:"Prof.",name:"Pınar",middleName:null,surname:"Erkekoğlu",slug:"pinar-erkekoglu",fullName:"Pınar Erkekoğlu",profilePictureURL:"https://mts.intechopen.com/storage/users/109978/images/system/109978.jpg",institutionString:"Hacettepe University",institution:{name:"Hacettepe University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Proteomics",value:18,count:4},{group:"subseries",caption:"Metabolism",value:17,count:6},{group:"subseries",caption:"Cell and Molecular Biology",value:14,count:9},{group:"subseries",caption:"Chemical Biology",value:15,count:13}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:8},{group:"publicationYear",caption:"2021",value:2021,count:7},{group:"publicationYear",caption:"2020",value:2020,count:12},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:2}],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. 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Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. 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He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. 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In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
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Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). 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Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression"},{id:"15",title:"Chemical Biology",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors"},{id:"17",title:"Metabolism",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation"},{id:"18",title:"Proteomics",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/287783",hash:"",query:{},params:{id:"287783"},fullPath:"/profiles/287783",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()