Correlation of variation of dielectric parameters of electron beam irradiated samples of SiR rich blends using FTIR.
\r\n\tHomeostasis is brought about by a natural resistance to change when already in the optimal conditions, and equilibrium is maintained by many regulatory mechanisms. All homeostatic control mechanisms have at least three interdependent components for the variable to be regulated: a receptor, a control center, and an effector. The receptor is the sensing component that monitors and responds to changes in the environment, either external or internal. Receptors include thermoreceptors and mechanoreceptors. Control centers include the respiratory center and the renin-angiotensin system. An effector is a target acted on to bring about the change back to the normal state. At the cellular level, receptors include nuclear receptors that bring about changes in gene expression through up-regulation or down-regulation and act in negative feedback mechanisms. An example of this is in the control of bile acids in the liver.
\r\n\tSome centers, such as the renin-angiotensin system, control more than one variable. When the receptor senses a stimulus, it reacts by sending action potentials to a control center. The control center sets the maintenance range—the acceptable upper and lower limits—for the particular variable, such as temperature. The control center responds to the signal by determining an appropriate response and sending signals to an effector, which can be one or more muscles, an organ, or a gland. When the signal is received and acted on, negative feedback is provided to the receptor that stops the need for further signaling.
\r\n\tThe cannabinoid receptor type 1 (CB1), located at the presynaptic neuron, is a receptor that can stop stressful neurotransmitter release to the postsynaptic neuron; it is activated by endocannabinoids (ECs) such as anandamide (N-arachidonoylethanolamide; AEA) and 2-arachidonoylglycerol (2-AG) via a retrograde signaling process in which these compounds are synthesized by and released from postsynaptic neurons, and travel back to the presynaptic terminal to bind to the CB1 receptor for modulation of neurotransmitter release to obtain homeostasis.
\r\n\tThe polyunsaturated fatty acids (PUFAs) are lipid derivatives of omega-3 (docosahexaenoic acid, DHA, and eicosapentaenoic acid, EPA) or of omega-6 (arachidonic acid, ARA) and are synthesized from membrane phospholipids and used as a precursor for endocannabinoids (ECs) mediate significant effects in the fine-tuning adjustment of body homeostasis.
\r\n\t
\r\n\tThe aim of this book is to discuss further various aspects of homeostasis, information that we hope to be useful to scientists, clinicians, and the wider public alike.
Electron beam irradiation has been effectively utilized in power cable industry and identified as one of the most advanced processing techniques. The products processed with electron beam radiation, experience shorter exposure time, which could result in less oxidative effects on certain materials. It is essential to investigate the effect of electron beam irradiation upon the dielectric parameters of the five different compositions of SiR–EPDM blends [1–4, 9]. Hence, the samples of SiR–EPDM were irradiated to 5, 15 and 25 Mrad dose levels by electron beam accelerator. The new functional groups formed during blending and after the electron beam irradiation were investigated through physicochemical investigation techniques like Fourier transform infrared spectroscopy (FTIR). To observe the morphological changes and also to identify the elemental composition, scanning electron microscope (SEM) analysis and energy dispersive X-ray analysis (EDXA) were performed on SiR–EPDM blends. The effects of electron beam irradiation on the dielectric parameters of various compositions of SiR–EPDM blends were reported.
\nCommercially, available SiR and EPDM were used. Type of SiR-polydimethyl siloxane (PDMS). The composition of EPDM is ethylene-65%; propylene-25%; diene monomer-10%. Diene type is ethylidene norbornene (ENB). They are supplied by M/S Joy Rubbers, India. The five different compositions of SiR–EPDM blends were prepared [1–4, 9].
Blend A—SiR 90%/EPDM 10%.
Blend B—SiR 70%/EPDM 30%.
Blend C—SiR 50%/EPDM 50%.
Blend D—SiR 30%/EPDM 70%.
Blend E—SiR 10%/EPDM 90%.
The five different compositions of SiR–EPDM blends were irradiated up to 5, 15 and 25 Mrad doses using an electron beam accelerator of 1.5 MeV rating at M/S Siechem Industries, Pondicherry, India.
\nIn order to analyze the dielectric behavior of SiR–EPDM blends in harmful environments, blends have been tested as per ASTM/IEC standards.
\nAs per standard ASTM D 149 (IEC 60243), BDV and DS were measured. The sample dimensions of 5 × 5 × 0.3 cm were placed between two electrodes, and the voltage was increased at a fixed rate of 500 V/s. The voltage at which dielectric breakdown occurs was measured as BDV. DS was calculated.
\nDC and DF were measured as per ASTM D 150 (IEC 60250) at 1 MHz. The sample dimensions were 5 × 5 × 0.3 cm.
\nVarious physicochemical techniques such as FTIR, EDXA and SEM were used to identify the nature of changes in the electron beam irradiated samples of SiR–EPDM blends.
\nFTIR spectra of electron beam irradiated samples were taken using Perkin Elmer spectrophotometer, in the wave number ranging from 500 cm−1 to 4000 cm−1. The number of scans for each IR spectrum was 4
EDXA analysis has been performed using EDXA analysis setup (Make HITACHI), in order to determine the elemental composition of the materials at the surface of the electron beam irradiated samples of SiR–EPDM blends.
\nSEM analysis was performed using a scanning electron microscope (Make HITACHI) with a magnification of 5–300,000, in order to study the morphology of the surface of electron beam irradiated samples of SiR–EPDM blends.
\nThe virgin SiR rich blends (A and B) have higher breakdown voltage (BDV) and dielectric strength (DS), when compared to remaining blends. This may be due to the occurrence of maximum self cross-linking during the blending process itself. During the blending process, the cross-linking reaction has taken place between the side chains of SiR and EPDM. The blend C and EPDM rich blends (D and E) were found to have lesser values of BDV, DS, and higher values of DC and DF in comparison with SiR rich blends (A and B).
\n\nFigures 1 and 2 depict the variations in breakdown voltage and dielectric strength of five different compositions of SiR–EPDM for various doses of electron beam irradiation.
\nVariations in breakdown voltage of SiR–EPDM blends for various doses of electron beam irradiation.
Variations in dielectric strength of SiR–EPDM blends for various doses of electron beam irradiation.
The BDV and DS of SiR-rich blends (A and B) and EPDM-rich blends (D and E) reduced for all doses of electron beam. The BDV and DS of the blend C improved for all doses of electron beam. The DC of the blend D and E has been improved at 5 and 5/25 Mrad respectively.
\n\nFigures 3 and 4 depict the variations in dielectric constant and dissipation factor of five different compositions of SiR–EPDM blends for various doses of electron beam irradiation.
\nVariations in dielectric constant of SiR–EPDM blends for various doses of electron beam irradiation.
Variations in dissipation factor of SiR–EPDM blends for various doses of electron beam irradiation.
The DC of the blend A reduced for all doses of electron beam. The DC of blend B reduced at 5 and 15 Mrad. The DF of SiR-rich blends (A and B) reduced for all doses of electron beam. The DC and DF of the blend C improved at 5 and 15 Mrad respectively. The blend D has the improved DF at 25 Mrad.
\nFor SiR–EPDM blends, it has been observed that cross-linking and chain scission may modify the macromolecular chains of the material. The consequence is the change in the dielectric parameters of the material. The effect of dominant mechanism can be noted from the changes in dielectric parameters.
\nFTIR spectra of electron beam irradiated samples of SiR–EPDM blends were obtained to identify the mechanism for the change in dielectric parameters after the electron beam irradiation. FTIR spectra of the virgin and electron beam irradiated samples of three compositions of SiR–EPDM blends are depicted in Figures 5–7 respectively.
\nFTIR spectra of electron beam irradiated samples of blend A. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
The FTIR investigations on electron beam radiated samples revealed that the radiation has induced the chemical and morphological changes. The variation in dielectric parameters was validated through FTIR spectra. It depicts the occurrence of new functional groups along with the % absorbance and the corresponding wave number. Tables 1 and 2 list the correlation of variation in dielectric parameters of electron beam irradiated samples of SiR rich blends and EPDM rich blends and blend C using FTIR respectively.
\nFTIR spectra of electron beam irradiated samples of blend C. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
FTIR spectra of electron beam irradiated samples of blend E. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
Behavior of dielectric parameter/doses | \n5 Mrad | \n15 Mrad | \n25 Mrad | \n
---|---|---|---|
B → Improvement in DC at 25 Mrad | \nAlcohol(OH) bonded, strong, broad A → 3433 cm−1 with 150% B → 3427 cm−1 with 116% Si–O–Si A →1018 cm−1 with 18% B →1018 cm−1 with 10% | \nAlcohol(OH) bonded, strong, broad A → 3427 cm−1 with 150% B → 3446 cm−1 with 150% Si–o–Si A → 1019 cm−1 with 15% B → 1018 cm−1 with 2% | \nAlcohol(OH) bonded, strong, broad A → 3438 cm−1 with 150% B → 3429 cm−1 with 150% Si–O–Si A → 1020 cm−1 with 4% B → 1018 cm−1 with 49% | \n
Reduction in BDV, DS and DF A → Reduction in DC | \nAbsence of alcohol (OH)-free, strong, sharp group and acid (COOH) group | \n
Correlation of variation of dielectric parameters of electron beam irradiated samples of SiR rich blends using FTIR.
The BDV, DS, and DF of the SiR rich blends (A and B) found to reduce for all doses of electron beam irradiation. This is due to the disappearance of acid (COOH) group in them. The BDV and DS of the blend C is improved for all doses of electron beam irradiation. This is due to the appearance of Si–O–Si group at 1019, 1018, and 1019 cm−1 with 29, 20, and 23% absorbance in it. The dielectric constant is improved at 5 Mrad. This may be due to the appearance of =C–H (Alkene, bending, strong). The DF has been reduced at 15 Mrad. This may be due to the disappearance of =C–H (Alkene, bending, strong). The maximum improvement in DC of blend D occurred at 5 Mrad. This may be due to the increase in Si–O–Si group at 1018 cm−1 with 34% absorbance and also due to the shifting of alcohol (OH)-free group to higher wave number [16–18]. The maximum improvement in DC of blend E has occurred at 25 Mrad. This may be due to the increase in alcohol (OH)-free group at 3795 cm−1 with 138% absorbance.
\nBehavior of dielectric parameter/ doses | \n5 Mrad | \n15 Mrad | \n25 Mrad | \n
---|---|---|---|
C (50:50) Improvement in BDV, DS Improvement in DF except at 15 Mrad D → 3445 cm−1 Improvement in DC at 5 Mrad | \nAbsence of =C–H (Alkene), bending strong | \nImprovement in | \n=C–H (Alkene), bending strong at 673 cm−1 with 11% Si–O–Si group at 1019 cm−1 with 23% (C–H) alkane group at 1416 cm−1 with 16% | \n
EPDM rich blends (D and E) D → DC except at 15/25 Mrad Improvement in DF except at 5/15 Mrad E → Improvement in DC except at 15 Mrad | \nAbsence of =C–H (Alkene), bending strong Increase in Si–O–Si group at 1018 cm−1 with 34% absorbance *Shifting of alcohol (O–H) free group to higher wave number | \nAlcohol(OH) free, strong, sharp D → 3813 cm−1 with 15% E → 3796 cm−1 with 45% Alcohol(OH) bonded, strong, broad D → 3434 cm−1 with 150% E → 3440 cm−1 with 150% | \nAlcohol(OH) bonded, strong, broad with 150% E → 3440 cm−1 with 150% | \n
Correlation of variation of dielectric parameters of electron beam irradiated samples of EPDM rich blends and blend C using FTIR.
\nFigures 8–10 show the EDXA curves of the electron beam irradiated samples of blends A, C, and E respectively. The inferences from EDXA curves of all the irradiated samples of SiR–EPDM blends are listed in Tables 3and 4.
\nEDXA curves of electron beam irradiated samples of blend A. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
EDXA curves of electron beam irradiated samples of blend C. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
EDXA curves of electron beam irradiated samples of blend E. (a) 5 Mrad, (b) 15 Mrad and (c) 25 Mrad.
Doses/elements | \nCarbon wt (%) | \nSilicon wt (%) | \nOxygen wt (%) | \n|||
---|---|---|---|---|---|---|
A | \nB | \nA | \nB | \nA | \nB | \n|
0 Mrad | \n38.82 | \n54.2 | \n13.17 | \n6.51 | \n28.69 | \n19.26 | \n
5 Mrad | \n39.35 | \n40.21 | \n14.91 | \n11.32 | \n27.6 | \n30.3 | \n
15 Mrad | \n46.01 | \n40.85 | \n10.7 | \n12.08 | \n36.38 | \n31.41 | \n
25 Mrad | \n39.92 | \n38.87 | \n11.17 | \n11 | \n36.72 | \n32.07 | \n
Inferences from EDXA curves of electron beam irradiated samples of SiR rich blends (A and B).
Doses/elements | \nCarbon wt (%) | \nSilicon wt (%) | \nOxygen wt (%) | \n||||||
---|---|---|---|---|---|---|---|---|---|
C | \nD | \nE | \nC | \nD | \nE | \nC | \nD | \nE | \n|
0 Mrad | \n71.42 | \n84.99 | \n89.13 | \n2.11 | \n0.76 | \n0.8 | \n11.84 | \n3.78 | \n3.14 | \n
5 Mrad | \n78.47 | \n77.56 | \n73.78 | \n3.83 | \n1.83 | \n1.29 | \n0.77 | \n8.26 | \n8.73 | \n
15 Mrad | \n82.43 | \n81.66 | \n79 | \n1.26 | \n1.62 | \n1.63 | \n5.21 | \n6.86 | \n6.69 | \n
25 Mrad | \n77.09 | \n77.63 | \n78.36 | \n2.06 | \n1.73 | \n1.34 | \n9.23 | \n7.9 | \n7.96 | \n
Inferences from EDXA curves of electron beam irradiated samples of EPDM rich blends (D and E) and blend C.
The interpretations between EDXA and FTIR of the electron beam irradiated samples of SiR–EPDM blends are listed in Tables 5–7.
\nInference from EDXA | \n5 Mrad | \n15 Mrad | \n25 Mrad | \n
---|---|---|---|
Increase in carbon content | \nC=C (alkene, stretch variable)/C=C ( asymmetric, stretch, strong)/C–H (alkane)/=C–H (alkene) bending strong | \nC=C (alkene, stretch variable)/C=C ( asymmetric, stretch, strong)/C–H (alkane) | \nC=C (alkene, stretch variable)/)/=C–H (alkene) bending strong | \n
Decrease in silicon content except at 5 Mrad | \nPresence of Si–O–Si/Si–CH3–CH2 and Si–H | \n||
Increase in oxygen content except 5 Mrad | \nIncrease in Alcohol (–OH) free group content Occurrence of Si–O–Si group | \n
Interpretation between EDXA and FTIR of the electron beam irradiated samples of blend A.
Inference from EDXA | \n5 Mrad | \n15 Mrad | \n25 Mrad | \n
---|---|---|---|
Increase in carbon content | \nIncrease in CH3–CH2–CH | \n||
Appearance of C=C (asymmetric, stretch, strong) | \nAppearance of C–H (alkane), bending ,strong | \nAppearance of C=C (asymmetric, stretch, strong)/C–H (alkane), bending, strong/=C–H (alkene), bending, strong | \n|
Decrease in silicon content except at 5 Mrad | \nAbsence of Si–H (amorphous Si) | \n||
Decrease in oxygen content | \nAbsence of acid COOH group | \n
Interpretation between EDXA and FTIR of the electron beam irradiated samples of blend C.
Inference from EDXA | \n5 Mrad | \n15 Mrad | \n25 Mrad | \n
---|---|---|---|
Decrease in carbon content | \nAbsence of acid (–COOH) group | \n||
Increase in silicon content | \nAppearance of Si–H (amorphous Si) Increase in Si–CH3– CH2/Si–H content | \nIncrease in Si–CH3–CH2/Si–H content | \n|
Increase in oxygen content | \nIncrease in alcohol (–OH)-free group content | \n
Interpretation between EDXA and FTIR of the electron beam irradiated samples of blend E.
\nFigure 11 (a1, b1, c1, d1, e1) and (a2, b2, c2, d2 , e2) are the SEM micrographs of the electron beam irradiated samples of SiR–EPDM blends exposed to 15 Mrad dose of electron beam irradiation for a magnification of 500 and 4000 respectively.
\n\nFigure 12 (a1, b1, c1, d1, e1) and (a2, b2, c2, d2, e2) are the SEM micrographs of the electron beam irradiated samples of SiR–EPDM blends exposed to 25 Mrad dose of electron beam irradiation for a magnification of 500 and 4000 respectively.
\nIt is observed from Figure 11(a1, a2) that the surface of SiR rich blend (A) has larger number of cracks. This may be due to the decrease in silicon content for 15 Mrad dose of electron beam irradiation (inferred from EDXA analysis), but the surface of blend B and EPDM rich blends (D and E) has smaller number of cracks. This is validated through the increase in oxygen and silicon concentrations (inferred from EDXA analysis). The surface of blend C has smaller cracks. This may be due to the reduction in oxygen and silicon concentrations. The availability of white particles on the surface of the blends B, D, and E may be due to the decrease in carbon content in them (inferred from EDXA curves).
\nSEM micrographs of electron beam irradiated (15 Mrad) samples of SiR–EPDM blends. 11 (a1), 11 (b1), 11 (c1), 11 (d1) and 11 (e1) -500 magnification; 11 (a2), 11 (b2), 11 (c2), 11 (d2) and 11 (e2) -4000 magnification.
SEM micrographs of electron beam irradiated (25 Mrad) samples of SiR–EPDM blends. 12 (a1), 12 (b1), 12 (c1), 12 (d1) and 12 (e1) – 500 magnification; 12 (a2), 12 (b2), 12 (c2), 12 (d2) and 12 (e2) – 4000 magnification.
It is observed from Figure 12(a1, b1) that the surface of SiR rich blend (A) has large number of cracks. This may be due to the decrease in silicon content for 25 Mrad dose of electron beam irradiation (inferred from EDXA analysis), but the surface of blend B and EPDM rich blends (D and E) has smaller number of cracks. This is validated through the increase in oxygen and silicon concentrations from EDXA analysis. The surface smoothness of blend C is moderate. This may be due to the reduction in oxygen and silicon concentrations.
\nThe blend C is found to have the improved BDV and DS values for all doses of electron beam irradiation. Also a significant improvement in DC has been noticed at 5 Mrad in blends C, D, and at 5 and 25 Mrad in blend E respectively. A considerable improvement in DF has been observed at 15 and 25 Mrad in blend C and at 25 Mrad in blend D respectively. Hence, it is concluded that blend C and EPDM rich blends are found to have improved dielectric performance after the electron beam exposure.
\nThe authors gratefully acknowledge the financial support extended by SSN College of Engineering for carrying out this research work.
\nFor the past 100 years, substantial revolutionary developments have been made in the mass electricity system. With new developments including easily growing and ecological cordial generation tools, higher voltage apparatus, power electronics as high voltage direct current (HVDC) systems and versatile alternating current transmission system (FACTS) products, the grid network has been constantly modernised. Also, the outcomes of an efficient grid comprise, progression in computerised controlling process, safety and protection, voltage regulation, grid administration systems for development of power network, real-time activities, upkeep strategies for load demand response and energy-effective load management. For delivering of power, generating stations are contained basically of steam power stations that pre-owned non-renewable energy sources and hydro turbines which are turned into large inertia turbines. The transmission framework developed from nearby and provincial grids into a big interlinked system that was overseen by facilitated working and arranging techniques. Maximum load demands, advanced energy utilisation at unsurprising rates, and technical innovations are executed in a comparatively distinct operative and managerial atmosphere.
The electrical grid is a dazzling illustration of human inventiveness and designing of modern power network. It spans a huge number of miles, is taken care of by a large number of manufacturing amenities, and assists hundred millions of consumers. It is the biggest machine ever assembled and one that enables each figuring scheme, system administrations, and corresponding advancement of the Internet Era.
Grid network upgradation has been catch-all expression to allude variations required in the electric grid to familiarise all the fastest innovative changes occurring in the generation, transmission and distribution of electric power. Recent Grid is fundamental to guaranteeing the energy networks that empower our human lives and support our economic aspects that are prevented from future troublesome actions. Nevertheless, beyond just enlightening by reforming the power grid additionally makes a link to achieve significant ground on moderating the future effects of environmental change. All through the nation, efficacies and energy corporations have a remarkable benefit to spend in advancements and resolutions that improve the deceivability and control that operates the electric framework. These advances empower a scope of new capacities that improve flexibility, diminish working expenses and enhancing the effectivity by successfully upgrading the nature of electric assistance. These equivalent advances can likewise strengthen fundamental capacities to producing development on environment.
Inventions for power grid technologies build opportunities to enable T&D workflows. Smart data metering technology, grid management systems (DMS/TMS), resource administration phases and geospacer application structures have also been covered by many rounds of grid engineering expenditures in developed economies. The latest solutions include networks and grids. These frameworks were broadly observed as segregated resolutions providing soloed framework necessities. Therefore, for these reasons, presently the reformation of grid is become troublesome. Service organisations have been reacted by proposing some complete grid-modernization strategies. In 2018, the requested grid modernization initiatives earned a mere $2 billion out of $15 billion. There is clearly a difference between the sort of service organisations suggest and what controls believe to be correct.
However, the grid network modernization ventures may meet a several aspirations. It is significant that the suitable protections are set up to assure benefits, which are exacerbated and consumer expenses are overseen. These incorporations, for adjusting the local arrangement destinations to extensive range distribution strategies, guaranteeing all advantage streams are run after, and checking that the aftereffects of these ventures are estimated against the normal results once they are set up. A few states are presently driving comprehensive partner cycles to guarantee these ventures and different contemplations are represented.
An efficient grid that saves reasonable energy expenses and advances monetary development is essential to our present-day civilization. Over its accomplishment, the grid ensures about the efficiency and excellence of satisfaction of people in the future by assisting with guaranteeing our energy remains consistently accessible and progressively green and maintainable. Specifically, grid modernization technique frequently suggests the growing utilisation of sensing instruments, PCs and communications, i.e., there are several techniques to keep up.
By the incorporation of the environmentally friendly energy sources making the transmission grid intensely complex to comprehend and prototype to apply a new controlling or activation techniques for advancements. This requires a quick prototyping stage for investigation and experimenting under the innovative novel broadcasting illustration. Such a structure ought to be profoundly incorporated, closed loop, and proficient for impersonating a substantive power grid for examining under new controls or algorithms. Though, conventional programming simulation packages generally perform specific errands, for example, dynamic simulation or state assessment yet come up short on the capacity of giving an incorporated closed-loop platform. To acquire practical information for investigation under the new transmission worldview for working on a genuine power grid network. Moreover, Substation development stays a basic component of state-of- the-art electric power networks. Substation improvements incorporate the utilisation of hardware tests, maintainable practices, digitization, and progressive solutions for the needs of large power network with alongside recompense of reactive power and large-distance renewable incorporation of sustainable power sources. Substations should progressively act not just in light of a legitimate concern for the large grid, yet additionally on the ground of decision making at the neighbourhood level. They are dependent on knowledge processing areas to improve potential costs due to the introduction of technological advances.
To attaining various goals, one major question is how much should be capitalised in the grid as too much (Distributed Energy Resources) DER schemes assist loads except using the grid for prolonged intervals of time. The consistency and security of the electric power supply load will possibly be impaired when renewable power supply is not available or is not subject to renewable power loss in the transmission and distribution (T&D) grid network. It is therefore necessary to improve the capacity of the T&D structure to host and enable increasing DER penetration ranges.
The transformation of the grid and the spread of DER are certainly related, however, it is not necessary for the prior to this transformation. Benefits like Commonwealth Edison (ComEd) and Centre Point, operating in distribution areas that have evolving DER ranges, have been effectively employed with the continuation of incremental grid continuity to modernise grid networks. Resilience and network performance focus growing network prospects, customer facilities, and substitution of the old configuration. The 2600 numbers of smart on–off switches and 4,000 numbers smart sensor meters have been arranged since 2012, and the ComEd Energy Grid Restoration Act has remained capable of removing nearly 4.8 million customer disturbances. The restructured networks would make it easier to transition to a new trend requiring a deeper penetration of DERs, which has been a further benefit to grid modernisation.
States such as California and Hawaii violently endorse DER’s deployment in order to accomplish the RPS objectives and shift a new delivery grid rapidly into successful service. In view of the pre-arranged achievement of grid equivalence by distributed generation in certain marketplaces, a standardised higher-range implementation of DERs is also inevitable. In order to facilitate the usual practice for present and future delivery systems, the accompaniments in grid restructuring infrastructures and schemes should be calculated with necessary savings.
The fast improvement in the electricity grid network is guided by universal rules, finances and technological innovations. The improvement of the power network to ensure that green and sustainable energy supply consistent electricity. The energy grid has switched into the latest two-way power flow scheme with a very fast range and continues as shown in Figure 1.
Transition from traditional to new electrical grid with two-way power flow [
The deregulation of electricity utilities in the United Kingdom and elsewhere was a significant cause of electrical markets. Battle eliminated the risk from the stockholders’ rate spenders, lowered customer prices and enhanced rapid modernisation. The initiations of the markets and environmental policies have enabled large variations in the mixing of fuel, producing plants that produce coal and nuclear power as a resourceful natural gas-fired connective cycle unit. The current competition among the large electricity markets and universal plans which support or promote other traditions to use energy efficient renewable sources and to respond to huge demands. In terms of financing, such technical advances have steadily benefitted, leading to lower consumer prices, improved ecological management and deployment. The governing reform continues to lead to reforms in the utility company to address the problems of electricity supply system management. The ruling revolution promotes tremendous economic growth. The IoT simplifies additional choices that can be taken at geographic, remote or mechanical levels by customers to promote customer differences and preferences. The distribution system was engineered and developed essentially to meet full demand for load and transmit power initially over radial substructures. Today, however, more customers are increasingly using the grid to offset their own generation and load demand, as well as to be a holdup supply when their regional generation of energy is insufficient.
Electric grid upgradation is vital to confirming the energy saving schemes that empower our lives and support our budget which prevents from forthcoming troublesome actions. But far basically the grid upgradation also makes a situation to make significant development on modifying the forthcoming influences of environmental alteration.
All over the country, efficacies and energy corporations have an unparalleled benefit to capitalise in machineries and resolutions that improve the perceptibility and monitoring that controls the power network. So, technological innovations empower a series of novel abilities that progress resiliency, decrease working expenses and rise effectiveness. Hence, similar knowledges can also authorise introductory competences to creating development on environment.
However, savings for grid upgradation may synchronise a lot of ideas. It is significant that the proper precautions are in event to confirm the assistances are exploited and consumer expenses are controlled. These comprises line up provincial plan objectives with long-term deployment strategies, guaranteeing all helping streams are followed, and authenticating that the outcomes of these savings are surveyed in contradiction of the predictable results once they are in event. Numerous countries are now foremost comprehensive and shareholder procedures to confirm these and other contemplations are taken by consideration. Therefore, an efficient grid that retains reasonable energy expenses and supports financial growth is emergent to our existing civilization. Numerous characteristics of Grid modernization are discussed as follows as indicated on Figure 2.
Schematic diagram of grid modernization aspects [
With the invention of miscellaneous cost-effective Controlling and Sensing instruments, the efficiency of electric grid in the power network has enhanced intensely. Numerous explanations have been found more specifically throughout the grid network on HV substations or main transmission lines. Nowadays, alike resolutions are discovering their technique down into the distribution system. System operators are capable to sensing how apparatus throughout the network is performing, the disorder for outages, the situation of power delivery and more altogether in nearby actual time.
Although, these innovative skills can reinforce the electrical grid efficiency and progress physical framework competence. The information could assist to improve workplaces service and lesser expenses for customers as well. A foundational expertise of controlling and sensing substructure is developed for smart metering technique. In US from 2010 to 2016 the utilisation of smart meters become gradually increasing in the ratio of 8.7% to 42.8% [3]. Over these numerically coupled meters, grid workers are not only capable to protect on operational expenses, but may also get extra precise understandings, well consciousness of disorder for outages and other assistances that come from more power and energy usage information. Nowadays, Grid utilizations are discovering opportunities through an innovative generating skill for resolutions of power system network. Comprehensibly, these are often highlighted on troublesome set-up to avoid disastrous collapse and disturbances like natural disasters. Grid mechanics must work with stakeholders to analyse system requirements, contemplate accessible resolutions and describe the commercial event to move elsewhere for demos and keep attention for mounted distributions. For instance, sensing devices at substations can control the health of properties and recognise when pro-active upkeep is essential.
Moving frontward, controlling results will correspondingly comprise sophisticated analytics competences to originate valuable, actionable information from the data streams coming from the propagation of smart meters and sensors monitoring. This system of controlling functions could principally work as a grids nervous system.
Analytical explanations are progressively accessible to solve the ‘big data’ task of making suitable choices based on massive quantities of data. Information on energy saving schemes can be vary based on ranging from more energy requirements and adequate facility of various grid substructure properties. These explanations frequently run as a grid network cloud.
In view of grid modernization, the multiplicity of low-range supply sources and progressively affianced energy subscribers for adding up to a sturdier green energy resource. These sources gradually have the potential to gratify a substantial amount of our forthcoming grid energy needs and while incorporated at the allowable range. These systems can similarly play a greater role in affording other facilities to meet our energy scheme requirements.
Dispersed energy resources cover behind power generation properties, such as roof solar arrangements, to include an increasing set of generating and efficacy opportunities. The associated heat and power systems, micro-turbines turned by airstream or water, energy storing over the usage of batteries, demand side administration resolutions and microgrids where miscellaneous dispersed resources are combined to power the requirements of resident amenities.
Demand side administration, in specific, remains to develop to assist the requirements of energy subscribers and energy system workers alike. Interconnections and controls explanations are making it probable to schedule and regulate refrigeration, heating and additional energy usages in households and industries and minor consumption throughout intervals of highest demand. Logically to handling the energy usage takes suppleness to the network and supports for inspiring the enhanced utilisation of energy throughout time intervals where it is less expensive and/or when the supply has very small carbon strength.
Services, controllers and shareholders are also commencing to assess and arranging the role of ‘non-wires alternatives’ which could play in acceding or eradicating the necessity to increase transmission, distribution and generation capability. These substitute grid infrastructure possibilities may contain demand side programs, system effectiveness, storing and other smart-grid resolutions that may gratify anticipated demand and necessities of the grid throughout other difficult circumstances of the power system.
When presenting new machineries into the energy network, it’s significant to embrace the wide use of standards and reconstruct paths to inspire inter portability once the standards are executed. These steps will support to avert the problems for individuals and industries wanting to link their dispersed assets efficiently into the grid, and will also help prevent grid workers from having stranded resources in the form of solutions to assimilate various dispersed sources. Figure 3 shows after attaining 1 million solar powers setting up in 2016, the U.S. is composed to reach 2 million in 2018 and 4 million by 2022, which is linked with the new grid set up techniques. [5].
Graphical diagram of solar power installations related to grid modernization aspects [
Renewable energy assets have become a principal generating source of power in the United States. 15% of electricity produce from renewable energy assets in 2016 [6]. Mostly from large upsurges in wind and solar energy, this up about 50% throughout the past five years. The green energy flourishment has become guided by dropping the cost of green energy sources, dynamic awareness from peoples and industries. The loyal (mostly sub- nationwide) policies are decided how to reduce forthcoming low carbon energy emission for green environment. Covering this tendency, those renewable sources make up important portion of the energy mixing, necessitates grid upgradation savings and resolutions at particular range.
For upgradation of electrical grid, the green energy investors are making a path to make it stronger, mainly at the regional level. In few areas, the required driving force make an influence on weather and carbon management, which also marks in clean air across societies. In other aspects it may be career making for financial activity or the reduction in electricity expenses that is capable for renewable energy generation.
Many societies (such as Hawaii and recently St. Louis) throughout the nation have a green energy (solar or wind) prerequisite or aim, contingent in big part on their source and variety of techniques. In particular areas similarly utilise geothermal, hydro and renewable biofuels, while others may advance in marine/ocean energy generation. Consistent asset management will persist centrally to the dependability of energy schemes with important stages of green energy.
An energy scheme with important levels of renewable resources will require flexible grid reconstruction resolutions to enhance the consumption of green energy. Emerging this suppleness will likely comprise transmission arrangement shape outs and it will contain progress of other important zones. For example, particular grid upgrading implications can result in well predicting and system modelling. Grid workers can plan for the requirements of the system, in consideration of environment and atmospheric conditions. Apparatuses used into resource scheduling and effective grid controlling schemes, grid workers will be capable to maximise the efficiency of green energy resources.
Bringing a mix of green energy to unfledged zones where it could be used an extra transmission and distribution arrangement, though, all principal resourceful savings would be considered. A miscellaneous set of grid administration solutions will allow societies and wider areas of the system to run on important levels of green energy sources.
Zero emissions vehicles drive new beginnings for conveniences while meaningfully decarbonizing transport systems. The electric power subdivision carbon emissions have dropped for the first time since the late 1970s, under those of the transportation division [7]. To drive carbon and other emissions even lower, the U.S. might strengthen its emphasis on electrified vehicles and guaranteeing they are power-driven with green energy. Additionally, to making noteworthy development on environment, electric cars can generate new marketplaces for products and services that catalyse financial progress and careers.
In the United States approximately 0.2% cars are electrified among more than 260 million recorded travelling cars [8]. However recently the quantity is rapidly rising states. Bloomberg Novel Energy Economics guesstimates that electrified transportation systems will make up 54% of all new low-duty cycle vehicles in the U.S. by 2040 and add as much as 5% of worldwide power consumption [9].
This quick electrified transportation development can reinforce grid worker corporate models as a result of the improved revenues that come from millions of electric cars. Furthermore, empowering the infrastructure to charge and operate electric cars presents an important commercial prospect for grid workers and other service benefactors.
Serving customers make smart conclusions that assist themselves and the imparted electric grid. Most consumers obtain data on their energy usage once a month in a usefulness bill, and this comes to them some time after they have used up it. Given the postponement and absence of detail intricate with information provided at this stage, this procedure does not authorise consumers to accomplish their energy usage. Evolving information accessing standards allowed by grid reconstruction completely alter this dynamic by providing consumers with expressive, existing and illegal information to take control of their energy usage.
With the advent of new energy opportunities and services including roof mounted solar power, smart thermostats, and building computerization schemes, few customers and industries aren’t eager to just take [10] an inactive role when it comes to their energy usage. Rendering to the Smart Energy Customer Cooperative, customers are extremely attentive to take part in real-time reporting of electricity outages (66%), energy usage information (65%) and contribution for certain rating programs (59%).
Massive quantities of information from grid upgrading savings can be composed from smart meters, connected thermostats and other sources. New applications then turn that data into actionable data for energy users in an easy-to-recognise and easy-to-engage format. This data provided by efficacies or other third parties equips people and industries with the tools they need to dispose how to accomplish their energy and power their lives in the ways to maximum gratifying them.
Efficacies and several third-party benefactors have the prospect to strike the right stability of getting deep information to those that demand it, and providing easier options to others who prefer less-involved energy implications. Henceforth their level of engagement, energy customers want more than just lesser expenses. Their welfares can comprise:
Improved interconnections for outages and refurbishment;
Possibilities for retrieving green energy;
Signing up for demand administration programs;
Additional resiliency explanations to keep the power on;
Serving sustenance community-based projects;
Seeing where their energy arises from; and
Relating their usage to neighbours or others in alike living circumstances.
These grid competences assist to come back to all energy subscribers in the form of the minor rates.
With the variety of available technical solutions, services are capable to not only reconstruct the old substructure and meet future needs, but also proactively capitalise in analytics and controls that upsurge the operation of available apparatuses. These explanations may increase energy scheme competences, profitability, and dependability, while enlightening the excellence of electrical grid facility in a maintainable way.
The power grid has become planned with substantial dismissals in the sequence to confirm that through several active situations, from blackouts to overloading condition, consistent electrical facility might be afforded to all consumers. For example, the electric grid is constructed to maintain the uppermost level of power needs. A cost-efficient modern grid may work as a platform that allows numerous sources to meet requirements of electrical load demand. These principal effective savings in energy substructure help confirm that consumers save currency and net profit for an additional suitable level for the schemes and solutions that consistently tie them into the power grid.
For illustration, permitting dispatch when specific transmission paths are limited for transmits a signal to power workers regarding transmission measurements. This request for changes in power generation stages may be more cost-efficient than supplementary transmission build-outs, and supports to rise the utilisation of present substructure [11]. Other proficiencies empowered by grid reconstruction savings can recover the total quality of electric service. Voltage enhancement, for example, uses sensors for better perceptibility into grid maintenance to allow workers to match network voltage more accurately with the electricity demands of consumers. This cost-efficient, proven implantation can progress service, save consumers currency and accept the need for new generation, transmission and distribution.
Well-organised substructure administration does not completely substitute the need for novel substructure. EEI reports that its investor-owned utility associates increased transmission arrangement savings from around $10B a year in 2010 to around $20B in 2015, a level which likely only upsurges [12]. The country’s energy arrangement and planning are ageing, and making investments in transmission sources to progress dependability, resiliency and to integrate renewable energy. In doing so, however, controllers, customer advocates and others must assess all theoretically reliable solutions to lodge system demands, and incentives should be in place for grid workers to select source active options that align with state and provincial goals.
The combined, step-by-step upgrading plan represented in Figure 4 can be developed with efficiencies first; corporations need to define the performance results that the modernization programs will perform, using the key performance indicator (KPI) and metrics. The first aims to regulate the basic abilities and key investments necessary for achieving the vision. The second aims at furthering business cases for localised grid investments. This can be done in particularly specific uses and are not related to investments. It is crucial to avoid investing in streamlined assets to meet proven needs. Many shareholders – like consumer teams, supply chain players, regulators, and IT firms – do not regularly participate in investment programme development in a soloed investment programme. Investment in grid systems and other business areas is substantially co-related; if this interdependency is not documented and considered, poor implementation plans may arise. The development and implementation of grid modernization plans are assigned insufficient resources. Investments contributing to the objectives of strategic capacity must be given priority, while the immaterial ones should be removed from the capital plan.
Grid modernization planning steps [
T&D personnel who advance a recovery policy to offer maximum client service and persuade controllers of its effectiveness should provide an invented full description of the return of assets to the taxpayer.
Utilities used clear and well-known arrangements traditionally for the purpose of justifying their grid projects, namely to endorse their proposals in a dialogue regarding the creation of a consistent electric grid. Utilities have precise metrics (e.g., Consuming Periodic Interruption Index, occupational health and security records) to monitor reliability and safety, and shareholder potential is adversely affected by continuous growth. Otherwise, more capital meant greater market and civilisation reliability. The first step against regulators and consumers is to describe precisely what effectiveness means “modernisation” as seen in Figure 5. “Grid modernization” can mean multiple things to different shareholders.
Steps of grid modernization set top-down priorities [
Skills are not binary. Some can grow mature and widespread over time across the grid. For example, tracking and control are usually important. Most conveniences therefore have simple monitoring and control skills, though many strive to improve their sophistication over time, as stated in Figure 6.
Step of investments for grid modernization [
The basic savings required can be difficult since they are not usually linked to a certain grid or asset. Corporations should concentrate their efforts on the shortcomings in current basic workflows such as network infrastructure, asset design, control and duty systems, with topic, line and line leaders.
Media stories on grid-modernisation agendas aim to span millions of policy expansions. Smart automated substations, smart metres for future generation and distribution computerization instruments contain these tracking and control policies (recloses or sectionalizes). However, what is not mentioned is that others programmes depend on the update of out-of-date designs, including transforming substation and feeder into higher voltage. The packaging for savings can then be sized according to the target awareness level of the device and then prioritised on the basis of calculable customer outcomes compared with each box price.
Most initiative refusals in the country are embedded in insufficient reporting of the incentives for taxpayers, and is related to cost savings. This pattern will continue—except for efficiencies that speak of the importance of the consequence of the payer and pledge themselves, if mandatory, to goals that their plans permit. The methods for grid modernisation frequently surpass the number of their elements. The painting of the whole image will make controllers and owners alike more productive and also accountable.
Substation developments – The heart and brain of the grid are imaginative substations. The improvement achieved by the substation includes infrastructure testing, durable procedures, digitalisation, and advanced technologies for a range of device requirements, as well as reactive energy compensation and long-term clean energy incorporation of renewable energies. Substitutions must increasingly function, both for the benefit of the wider grid and to help local decision-making. They should act as data collection positions that will boost potential investments in emerging technology. Substations can be fully usable, invisible or enticing to the public in particular in very crowded environments, in an effort to achieve their convenience. Sustainability is a further component of creativity in substations such as the replacement of SF6 methane, greenhouse gas, for sulphur hexafluoride for other gases used in lightweight insulated gas substations (GISs).
The growth and problems of the Urban Power Grid - The urbanisation of the world is growing demand for electricity in big and mega cities. Land expense and shortage find it impossible to obtain modern transmission rights for traditional routes. Advanced transport technology will effectively enhance current system power, reliability, and usage and increase grid stability in extreme contingencies or disastrous circumstances. These innovations for the enhancement and transformation of urban grid have been taken into account and adopted by electric utilities.
Urban grids have grown over decades with population and inflation and now face multiple extension and technical problems to accommodate more demand growth and related (stringent) criteria in terms of reliability. The exponential growth in demand has pushed power grids closer to their capacity limits. In conditions without sufficient voltage and local reactive energy source, where the infrastructure encounters very severe occurrences, the municipal power grid could be vulnerable to voltage collapse or blackouts.
The Network extension infrastructure options—Electrical providers have the option to add the following to deal with network expansion issues:\t\t
new circuits to reduce overloads of circuits or to boost current circuits
new transformers or advancement of present ones to mitigate substation overloads
new or current transformers to reduce sub-station overloads
Phase-shifting transformers for the regulation of active power transfer in mesh networks (PST) also called phase-angle regulators (PARS), sen transformers (TS) as well as VFS (Variable Frequency Transformers).
Reactive power compensators for voltage balance and energy shift, for example shunting reactor or condenser banks and Static Var (SVcs), or static sync compensators for energy change (Statcoms).
Figures 7 and 8 is the general metropolitan electricity grid structure. It consists of the major transmission networks extra high-voltage (EHV), the sub-high-voltage transmission networks, transmission substations, primary generation substations and municipal power generation systems. The city grid is normally split into load areas or load areas that determine the portions of the grid allotted to facilitate system planning and electricity operations. The charging areas which have different requirement features, service efficiency and specifications for power quality. Usually in the range of voltage from 345 to 500 kV, the eHV main transmission networks transfer bulk electricity from and from external sources. In certain metropolitan power grids municipal power also forms a large proportion of the overall energy supply. Many of these units are old, less effective and dispatched to provide operational reserves and voltage-support functions as consistencies must-run units. Many of these ageing thermal units will possibly be phased out in the near future due to economic reasons and environmental restrictions.
The urban power grids are typically divided into multiple load areas by electric utilities for convenience in planning and operating of the system [
The optimised network explanations solutions are needed to address for increasing multiple network [
New problems of hybrid electric car wireless power transfer and safe Internet billing Intelligent grid modernisation and Internet incorporation of electric cars (IoEVs) have gained significant interest because of the power and speed they provide as represented in Figure 9. Furthermore, growth of magnetic resonance or wireless inductive transmission (WPT) technologies can increase performance and convenience in power transmission. However, there are many issues that need to be overcome to incorporate such a convenient method. Moreover, it is especially difficult to develop an effective and stable accounting method when IoEVs are loaded automatically in the anticipated convenient system.
The architecture of the relaxed framework suggested. (IoEV charges the electricity automatically via WPT in the proposed system. The billing is securely paid via WAVE technology and block chain) [
In the face of the one-way data source, the power loss, increased electricity requirements, the depth of confidence and protection of traditional electric grids are transformed into smart grids (SGs). The Smart Grid offers two-way energy streams between sources and consumers in conjunction with electricity generation, transmission, distribution and operating systems. A bulk quantity of SGs are utilise to different equipment’s for observation, examination and control of the grid network, positioned at generating stations, delivery stations and in customers’ premises. Thus, a Smart Grid needs interlinking, mechanisation and the tracing of such equipment’s. The Internet of Things helps to do this (IoT). In addition to connecting, mechanising and tracking of these facilities, IoT provides the means to support Smart grid frameworks for diverse network purposes during generation, transmission, delivery and power uses through the integration of IoT devices (such as sensor devices, actuators and smart metres).
A conventional electric grid comprises bulk quantity of broadly interlinked synchronous Alternating Current (AC) grids. It conducts three major roles: generation, transmission and distribution of electrical energy [16], where unidirectional electric power flows from supplier to the customers. Initially, in power production, a huge amount of power generating stations produce electrical energy, generally from burning of coal and nuclear power stations. Then the electricity is distributed from power generation plants by high tension transmission lines from a remote load terminal. Next, the delivery network assigns electrical power at lower voltage levels to the load centres. Any network of grids is centrally managed and tested to ensure that the generation stations deliver electricity in line with consumer specifications under the power system network limitations. About any electricity generation, transmission and distribution is possessed by utility companies that supply consumers with electricity and charge them adequately to recover costs and to generate income.
From its beginning in 1870 to 1970 the traditional grid worked admirably [16]. Despite the drastic rise in energy consumption by the consumers, it was also somewhat shocking. But since 1970 the concept of using electricity has been modified considerably, due to the burden of electronic devices, new sources for high-strom use, such as electric vehicles, have risen to be the fastest growing portion of full power requirements (EVs). Such influences as excess machinery and insufficient smart innovation for clients, inconsistent management, electrical privileges and untrustworthy communication and observing – particularly the absence of components in the stockpiling of generated electrical power [17, 18, 19] – make grid networks an essential factor in consuming electricity. Furthermore, electricity grids are confronted with other problems as well, including the development of energy interests, coherence, security and the development of eco-friendly energy supplies and maturing basic problems.
The basic Smart Grid concept was a challenge with a range of data and correspondence developments to resolve these difficulties. The adequacy, efficiency, reliability, protection, longevity, consistency and extensibility of the traditional network can be improved by such developments [20]. SG differs in numerous angles from traditional grid networks. SG, for instance, gives vendors and purchasers a two-way correspondence stream while a traditional electricity grid only provides single way connections from providers to consumers. SG has gradual measurement Setup, intelligent metering technology, adjusting for vital clearance of defects, find of unsubscribed use and load change [21, 22, 23, 24], and self-rescue [25].
SG transmits various types of equipment for grid network observation, analysis and control. This test facilities were installed at power generation facilities, electricity transmission lines, power transmission centres, delivery areas and consumer locations. One of the main concerns of SG is the interconnection, computerization and detection of such a vast amount of gadgets, where swift, universal and bilingual advanced digital correspondences need scattered observation, investigation and activity. For these gadgets or “material,” it calls for dispersed SG mechanisation. In fact, this is now recognised by invention in the Internet of Things (IoT). The IoT is described as a device that can connect any object on the Internet based on a data trading convention and correspondences between various intelligent gadgets in order to achieve recognisable purposes for observing, detecting, managing and area [26]. Over the past years, IoT engineering has taken on a number of dimensions and took into account internet intercommunication to various network-based devices used in daily life.
The Internet Technology initially supported individuals and people as a network. While the volume of Internet-related items surpassed universal levels in 2008, the impact of IoT creativity continues to increase. The results are also increasing. IoT is a system of actual Internet technology products or things. These products are equipped with implanted innovation to interact indoors and outdoors. These items detect, test, run and jointly select individually or with different items through a broader tempo, self-governing and pervasive bi-directional device correspondence. This is what the Smart Grid really needs. Through the integration of IoT gadgets (such as sensor devices, actuators, and smart metres), the Io T-innovation will support smart grids with various device capacity, during power production, storage, transmission, delivery, and consumption.
The only big use of the IoT is the automation of the intelligent grid [27]. Today, while many home-grown devices that use energy are linked to the Internet, there are also many home-grown devices, which do not come with the web. For example, in the world there is a significantly less amount of microwave ovens and washing machines connected with the Internet than of units not linked to the Internet. Basically, all power uses by connecting to the Internet are more beneficial (for example, microwaves and clothes washers, that are associated with the Internet can be worked distantly and at off-busy times, consequently saving expense, just as give solace to human beings through robotization). Therefore, we will later forecast that the IoT-coordinated intelligent grid will be greater than the intelligent grid, and that the existing intelligent grid will not be feasible save for the IoT breakthrough. New entrances will be exposed to enhance future growth possibilities by addressing IoT engineering as a worldwide standard for intercommunications and the justification for smart grid. Since the IoT and the smart grid must be incorporated, a new session on SG and IoT has begun, as is an exceptional question on the Smart Grid Internet of Things. The need and importance of the combination of IoT and SG is also shown.
This includes intelligent devices, home appliances (counting clothing laundries, TVs, air conditioning, fridges and stoves), electric vehicles and renewable energy sources (like solar cells). HAN is arranged within housing, factories and corporate systems, and integrates with smart metres for electrical devices. The NAN is the second stage of the CS which consists of smart metres with a large number of HANs which is otherwise called the Field Area Network (FAN). NAN underpins correspondence for power delivery frameworks between dispersion substations and field electrical gadgets. It collects the data from several HANs and passes it on to the information authorities the interface NANs to a WAN. The WAN is the SG’s third level which encourages the correspondence of doors or complete centres as a backbone. It promotes the interplay of mechanisms on power delivery, large power generating schemes, renewable sources of power and zones control [30].
Architecture for smart grid (SG) presenting power grids, power flow and flow of knowledge. The SG consists of five major subsystems (power generation, storage, delivery and usage) and three network groups (WAN), community area (NAN) and home area networks (HAN). Power passes through the subsystems, while knowledge passes via the networks. [
Existing and future implementations of the WAN, NAN and HAN IoT-aided SG networks. These structures are often known as subsystems, i.e. power generation, storage, delivery and use. The blue boxes represent the implementations that exist, and the white boxes (empty) represent future uses [
IoT gadget detectors are commonly radio sensor systems, RFIDs, M2M gadgets, camera systems, infrasound sensors, laser detectors, and GPS gadgets. IoT creativity will extraordinarily boost and support the data detection in an SG. In addition, IoT Invention also plays a key role in the substructure positioning and dissemination of SG information, supporting the creation of the network, operations, management welfare, maintenance, security surveillance, data collection, evaluation, customer cooperation and so forth. In addition, the IoT enables data streaming, power flow and distribution to be combined in an SG [33, 34]. Furthermore, present SG structures principally highlight around the necessities of power suppliers to deal with the total grid system [34]. The consumers are getting in touch with a smart metering system by methods for General Packet Radio Service (GPRS) or other cellular networks. The modern realism in which consumers will now have other intelligent home frameworks (such as Wi-Fi) has not yet been introduced into existing SG’s network correspondence. While some mechanisms grant current smart home frameworks, the adaptability of large investments is not expected. These conventions, which are explicitly applicable to IoT and SG framework, cannot be extended directly in the IoT-supported SG frameworks because they only take into account the specific features of either IoT or SG frameworks which are insufficient for an integrated IoT-supported SG framework.
The complete investigation of the present applications of IoT-based smart grid to make the total system more comprehensive. Though there might be several applications of IoT-based SG schemes, as illustrated in Figure 12. Few IoT-based SG systems implementations have been already deployed but much more needs to be done as all the instantaneous information capacity and large data processing are taken advantage of. Current applications threaten a number of focus areas, for example:\t\t
Observation of buildings or of power apparatus establishments (towers and electrical transmission networks);
Regulating home utilisation by active energy scheduling, which exploits changeable estimating;
Meter perusing and utilisation checking, private and business sector;
Electrified cars charging and parking;
Power requirements and source administration, including incorporated environmentally friendly power sources; and.
Caring of power supply frameworks, by identifying line faults and breakdowns.
IoT assisted transmission tower safety towers security system against buggy attacks, natural hazards, barbarians and the growth of trees. Transmission tower protection systems this device includes a sink node and numerous sensors to provide the monitoring centres with early warnings of threats to high-voltage transmission towers. [
This analysis found that little work is being done on the use of IoT-based SG frameworks for nearby stations, transmission and power consumption. For example, IoT-based forecasts of the climate conditions that will guide energy stream between many areas and the effectiveness of the connecting equipment can be dependent on the capacity of environmentally-friendly sources (solar cells, wind turbines etc.).
The SGAM is a reference architecture intended to show the cases of SG architecturally. This was the result of an EU Mandate M/490 reference working group [35, 36]. SGAM primarily consists of five component layers: business, functionality, content, communication and layers. These are referred to as interoperability layers. Each interoperability layer contains a smart grid plane covering electrical space and knowledge processing areas. The main aim of this model is to show which areas of data management communicate with each other.
Three-layered Architecture- The three-layer IoT-assisted SG architectures have been used extensively in [37], focusing on the IoT-assisted method’s characteristics. As seen in Figure 13, the architecture consists of three layers, a vision layer, a network and an application layer.
IoT-aided SG structures, with a vision layer, network layer and device layer, have a three-cover architecture.. The layer consists of two sub-layers, a sub-layer for contact expansion, and a perception [
IoT-aided SG systems’ four-layered architecture built on the SG features. It consists of a terminal layer, a field network layer, a remote connection and a system layer for the main station. [
Network-enabled SG architecture with IoT-advanced web services [
Fixed metre IoT embedded SG architecture. The components, sensor and power supply networks, IoT server and user interfaces. The sensor and actuator networks are made up of sensor and actuator nodes as well as IP passages. The IoT server has a message dispatcher, an IoT client, a data processing unit, a settings database, a user database and a safe access manager. The user interfaces include the visualisation interface, the web service API and the configuration interface. [
It consists of three key components, the network of a sensor and drive, the simulator and IoT server. The sensor and actuator network comprises sensor and actuator nodes and IP gates. The IoT system has an IoT message sending computer, an SG database, a data processing server, a software setup, a settings unit, a device log and a safe Access manager. User interfaces are a visualisation interface, a gui settings, and an API Web Server.
The key decision-making feature in SG is the Supervisory Control and Data Acquisition (SCADA) scheme. It gathers data from IoT sensors spread around the grid and provides online surveillance and control in real time. It also helps control network power flow to achieve consistency of use and stability of power supply. It is typically situated at separate locations of services on local machines. As the SGs increase in complexity, utilities are facing a challenge to update and expand SCADA networks. Cloud storage is a good option for hosting SCADA systems in order to solve this problem.
On-demand cloud infrastructure provides access to a common pool of computing resources, including storage, computing, networking, device, server and operation.\t\t
Big data processing classification into platforms and methods of IoT-assisted SG programmes. Cloud and fog processing are on the platforms, while MapReduction and stream processing are the techniques. [
The change in the delivery stage of the electrical power system depends on several factors. The vision might be brief as follows:
With continued developments in energy efficiency, the need for electricity will increase.
The population will continue to rise and the need for affordable electric power
Electrical transport proliferates by electric trains and electric vehicles Electric transport (cars, buses, and trucks).
Green energy supplies are the gateway to fuel revolution.
Consumers need a stronger, cleaner more secure and more efficient grid that requires system and process upgrades.
In future urban grids, powerful, reliable, versatile, protected, robust and inexpensive electrical supply will be needed. The most versatile advancement strategy choice for accessing different planning problems related to urban grid enhancement and transformation, suggested by submission resolutions sponsored by the VSC-HVDC. The organisational versatility and stability of urban grids can be greatly improved by launching direct input of electricity into load centres and improving intercity power generation capacities and dramatically decreasing the need for the regional generation and spinning supplies. The technology of VSC-HCDC is evolving and developing continuously. New architecture concepts rely on modular products and lightweight systems which will have the ability to incorporate urban power grids.
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Also, board meetings do not have any significant connection with CSR spending. For control variables, factors, such as firm size and leverage, tend to promote the CSR spending of commercial banks, while profitability has no such relationship. As for the sectoral distribution of CSR funds, we found that although the absolute amount of CSR expenditures by banks has increased substantially over the years, they are primarily limited to health, education, natural disasters, and humanitarian activities. These findings are expected to have significant policy implications.",book:{id:"11602",title:"Corporate Social Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11602.jpg"},signatures:"Bishnu Kumar Adhikary and Ranjan Kumar Mitra"},{id:"82395",title:"Toward a Better Understanding of Green Human Resource Management’s Impact on Green Competitive Advantage: A Conceptual Model",slug:"toward-a-better-understanding-of-green-human-resource-management-s-impact-on-green-competitive-advan",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.105528",abstract:"Today, green human resource management (GHRM) has become a key business strategy where HRM plays an active role in the ongoing green movement. Thus, the topic of GHRM is of growing interest among management scholars. However, despite the theoretically important role of GHRM, relatively small number of research has been discovered so far about how GHRM, in companies striving to achieve environmental sustainability, could help them gain a green competitive advantage (GCA). Thus, based on the resource-based view (RBV) arguments, the main objective of this paper is to develop a conceptual model of the relationship between GHRM and green competitive advantage through green knowledge, green values, and green commitment. This model is expected to provide a strategic map that could be utilized by the practitioners and managers so that GHRM implementation can be more effective in contributing to green competitive advantage. Overall, the present article extends knowledge on the resource-based view by contributing to the literature on GHRM and its interactions with the main assets that lead to green competitive advantage.",book:{id:"11602",title:"Corporate Social Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11602.jpg"},signatures:"Hosna Hossari and Kaoutar Elfahli"},{id:"82248",title:"Sustainability and Excellence: Pillars for Business Survival",slug:"sustainability-and-excellence-pillars-for-business-survival",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105420",abstract:"The chapter presents an overview of management models starting with self-assessment (ISO 9004) and continuing with the European Foundation for Quality Management (EFQM) Excellence Model. Stakeholders’ analysis and their needs and expectations diagnostic are the baseline for building sustainable businesses. Sustainability and excellence are connected, and particular details of these approaches’ implementation are presented. Partnership development appears a key principle in the EFQM model. Based on companies’ strategies analysis, a simplified model may be proposed in order to support business survival in changing environments. Some guidelines to allow assessment of excellence fundamentals implementation are given. Based on experience and without seeing as exhaustive, a summary sheet of possible approaches and deployments is given. This may be used as a practical tool to connect actions implemented in organizations with the excellence model enablers, so as to facilitate assessment to explore the performance maturity level. The same sequence of Plan-Do-Check-Act relates approaches stated by ISO 26000 and sustainability initiatives. Embedding excellence and sustainability into business strategic objectives allows the management to define the framework for competitive continuous improvement.",book:{id:"11476",title:"Globalization and Sustainability - Recent Advances, New Perspectives and Emerging Issues",coverURL:"https://cdn.intechopen.com/books/images_new/11476.jpg"},signatures:"Irina Severin, Maria Cristina Dijmarescu and Mihai Caramihai"},{id:"82269",title:"CSR Reporting and Blockchain Technology",slug:"csr-reporting-and-blockchain-technology",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.105512",abstract:"Blockchain technology is a public ledger that stores data in a chain of blocks which can radically improve the quality of our records from “records that might be trustworthy” to “records that trust is absolute”. This chapter explores one area that blockchain technology can radically transform but has not yet received significant attention. We evaluate the suitability of applying blockchain technology for corporate social responsibility (CSR) reporting. We demonstrate that blockchain technology is suitable in the context of CSR reporting since there is a strong need for an immutable common database shared among various stakeholders with potential trust issues. We also argue that blockchain technology does not completely eliminate existing trusted third parties such as governments, international organizations that provide CSR reporting standards, major CSR reporting assurance companies and major CSR infomediaries. In particular, blockchain technology can be used as a platform that integrates all traditional trusted third parties, transforms their functions, and reduces their drawbacks for advancing CSR reporting. We also demonstrate that a permissionless public blockchain would be the most suitable structure.",book:{id:"11602",title:"Corporate Social Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11602.jpg"},signatures:"Pattarake Sarajoti, Pattanaporn Chatjuthamard, Suwongrat Papangkorn and Piyachart Phiromswad"},{id:"82270",title:"From Corporate Social Opportunity to Corporate Social Responsibility",slug:"from-corporate-social-opportunity-to-corporate-social-responsibility",totalDownloads:4,totalDimensionsCites:0,doi:"10.5772/intechopen.105445",abstract:"During the early 2020s, business leaders have been faced with the confluence of multiple challenges, the likes of which they had never seen before: the Covid-19 pandemic, systemic racism and the continued escalation of the climate crisis. These challenges forced companies to search for new ways to create value for their investors and other stakeholders; these challenges forced business leaders to think differently about the role that their companies play in the broader society. As we think about how business leaders balance these short-term opportunities and long-term strategies, it is critical that they realize that he level of social responsibility expected by society has risen significantly in recent years. Companies need to move beyond seeing social dynamics as short-term opportunities and incorporate them into long-term strategies. In this study, we offer 6 rules for moving forward and for turning short-term social opportunities into long-term strategic value creations. Business leaders need to focus on offering products, services and relationships that help their stakeholders improve their lives. In doing this, we rely on both academic studies and case studies to show how moving beyond corporate social opportunity and towards value creation through social responsibility is the key to long-term corporate success.",book:{id:"11602",title:"Corporate Social Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11602.jpg"},signatures:"Brian Bolton"},{id:"82341",title:"Circular Economy - Recent Advances in Sustainable Construction Waste Management",slug:"circular-economy-recent-advances-in-sustainable-construction-waste-management",totalDownloads:4,totalDimensionsCites:0,doi:"10.5772/intechopen.105050",abstract:"With time, construction waste is increasing massively and its dumping is a serious issue globally. Utilizing the waste in various products and construction projects is boosting, but still, the amount of waste is much higher. Transitions to more sustainable construction can assist in attaining the specific goal of slowing down natural resources depletion, reducing environmental damage by extracting and recycling new materials, and minimizing pollution from the processing, use, and disposal of materials once they complete their useful life period. An important way to do this is to improve efficiency and bring productivity in the utilization of resources. The circular economy is more productive and healthier, where raw materials are stored longer in the production cycle and can be recycled, thus producing less waste. Due to potential benefits through enhanced quality and productivity in the processes, the concept of circular economy is grabbing the attention of construction industry stakeholders to attain sustainable construction waste management. This chapter focuses on the significance of a circular economy for the attainment of sustainable waste management in the construction sector. Moreover, the impact of construction waste and its utilization through recent sustainable solutions which also impact the economy has also been highlighted.",book:{id:"11256",title:"Circular Economy - Recent Advances of Sustainable Waste Management",coverURL:"https://cdn.intechopen.com/books/images_new/11256.jpg"},signatures:"Muhammad Ali Musarat, Muhammad Irfan, Wesam Salah Alaloul, Ahsen Maqsoom, Muhammad Jamaluddin Thaheem and Muhammad Babar Ali Rabbani"}],onlineFirstChaptersTotal:72},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:18,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:19,paginationItems:[{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. 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