\r\n\tThe aim and objectives are to illustrate the current status of ethanol production from different feedstocks and the state of technologies involved in ethanol production from such different feedstock.
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\n
1. Introduction
\n
Global installed wind power capacity has been tremendously increased over the last 15 years from 23,900 MW in 2001 to 486,790 MW in 2016 [1]. More than 314,000 WTs are now operating around the world, which accounts for more than 4.3% of 2015 global electricity demand. Yet it is still far from ambitious targets, e.g., increasing wind energy’s contribution to 20% of US electricity supply by 2030 [2]. To approach that, it is of critical importance to accurately evaluate the WT performance considering realistic environmental conditions.
\n
The most common factors that are considered when planning a wind farm include substantial wind resources, landowner and community support, feasible permitting, compatible land use, nearby access to electrical grid, appropriate site conditions for access during construction and operations, aviation compatibility, and favorable electricity market [3]. However, the influences of meteorological variables (e.g., pressure, temperature, and humidity) are often neglected which could cause inaccurate evaluation of WT performance. For example, a dry air assumption (i.e., constant air density) does not really consider the moisture changeability. Baskut et al. discussed the effects of several meteorological variables including air density, pressure difference, humidity, and ambient temperature on exergy efficiency and suggested that neglecting these meteorological variables while planning wind farms could cause important errors in energy calculations [3].
\n
The efficiency performance of a WT can be studied in two aspects, energy and exergy efficiencies. The former is calculated as the ratio of produced electricity to the total wind potential within the swept area of the rotor. Thus, only the kinetic energy of the air flow is considered in the energy efficiency calculation, while other meteorological variables such as pressure and temperature are often neglected. The latter considers the maximum useful work that can be obtained by a system interacting with an environment in thermodynamic equilibrium state [4]. The exergy efficiency along with availability and capacity factor of a small WT (rated power 1.5 kW) has been studied in Izmir, Turkey, to assess the WT system performance [5]. Sahin et al. developed an improved approach for the thermodynamic analysis of wind energy using energy and exergy, which provided a physical basis for understanding, refining, and predicting the wind energy variations [6]. According to [7], exergies are suggested as the most appropriate link between the second law of thermodynamics and the environmental impact, in part because it measures the deviation between the states of the system and the environment.
\n
This brief précis thus illustrates the importance of energy and exergy analyses for wind energy systems considering meteorological variables and provides a motivation for the thermodynamic analysis conducted herein. The chapter presents the methods and results of thermodynamic analysis of a 1.5 MW WT, which is assumed to be deployed in the northeastern United States, experiencing meteorological reanalysis data retrieved from the NASA’s MERRA-2 data set. Matlab scripts are developed to calculate the energy and exergy efficiencies using the MERRA-2 data set. Section 2 provides the fundamental theory of thermodynamic analysis, particularly in derivations of energy and exergy efficiencies. The studied site, meteorological data, and the selected WT are explained in Section 3, which is followed by results and discussion in Section 4. Concluding remarks are provided in Section 5.
\n
\n
\n
2. Theory
\n
A WT converts kinetic energy from air flow to electrical energy through subassemblies including rotor blades, drivetrain, generator, and electronic control systems, as well as other auxiliary components. As the kinetic energy is extracted, the air flow that passes through the turbine rotor must slow down. Assuming there is a boundary surface that contains the affected air flow inside, a long stream tube extended far from the upstream and to the downstream with varied cross sections is often used to study the thermodynamics of horizontal-axis WTs [6, 7] (Figure 1). The wind speed, pressure, and temperature at the inlet of the stream tube are represented by V1, P1, and T1, respectively. Their counterparts at the outlet are V2, P2, and T2 and at the rotor are Vave, Pave, and Tave. Here a constant specific humidity ratio is assumed in the stream tube for a short-period time (e.g., 10 minutes or 1 hour). The following sections explain the theory of WT thermodynamics in two aspects, energy analysis and exergy analysis, which both apply the meteorological variables such as wind speed, air density, atmospheric pressure, temperature, and humidity. The use of energy and exergy efficiencies considering a comprehensive set of meteorological variables can enable us to accurately evaluate the efficiency performance of WTs.
\n
Figure 1.
A schematic plot of WT stream tube for thermodynamic analysis.
\n
\n
2.1 Energy analysis
\n
The energy analysis of WT systems stems from the air flow’s kinetic energy Ek that is calculated as
\n\n\nE\nk\n\n=\n\n1\n2\n\n\nmV\n2\n\n\nE1
\n
where m and V are the mass and speed of the air flow, respectively. The mass m can be further expressed as
\n\nm\n=\nρAVt\n\nE2
\n
where \n\nρ\n\n is the air density, A is the rotor swept area perpendicular to the flow, and t is the time that the flow passing through the swept area with speed V. By applying the simple momentum theory, the rate of momentum change is equal to the overall change of velocity times the mass flow rate \n\n\nm\ṅ\n\n\n, i.e.,
where V1 and V2 are the wind speeds at the inlet and outlet, respectively, of the stream tube (Figure 1). The rate of momentum change is also equal to the resulting thrust force. Thus, the power absorbed by the WT is calculated as
Hence, the retardation of the wind before the rotor\n\n\n\n\n\nV\n1\n\n−\n\nV\nave\n\n\n\n\n\nis equal to the retardation of the wind after the rotor\n\n\n\n\n\nV\nave\n\n−\n\nV\n2\n\n\n\n\n. By Eqs. (2), (4), and (6), the rotor power can be calculated as
In order to obtain the maximum power, equate 0 to the differentiation of Eq. (8) with respect to a resulting in \n\na\n=\n\n1\n3\n\n\n. Thus, the maximum power \n\n\nP\nmax\n\n=\n\n8\n27\n\nρA\n\nV\n1\n3\n\n\n is achieved, when the outlet wind speed is equal to one-third of the inlet wind speed. Defining the power coefficient as
the maximum power coefficient is calculated \n\n\nC\n\nP\nmax\n\n\n=\n\n16\n27\n\n≈\n0.593\n\n. This maximum power coefficient, known as the Lanchester-Betz limit (or Betz limit) [8, 9], explains the maximum power that can be extracted from the air flow and can also be easily derived by other theories (e.g., the rotor disc theory and blade element momentum theory [10]).
\n
Despite the simplicity of Eq. (9) when calculating power coefficient, the total input power in the denominator does not take account of the impacts from pressure, temperature, and humidity. Actually the air density changes as the ambient pressure, temperature, and humidity change, which can be expressed as
where ω (−) is the humidity ratio of air, gas constant Ra = 287.1 J/kg K, water vapor constant Rv = 461.5 J/kg K, and T is the absolute temperature (unit: K). In order to distinguish wind power P, the small letter p is used to represent the pressure (unit: Pa) in the humid air hereafter. Combining Eqs. (9) and (10), the power coefficient of a WT considering a comprehensive set of meteorological variables can be expressed as
The above derivations provide the fundamentals of the theoretically available energy/power that a WT can extract from the air flow. However, various effects could have influence on the real power output, e.g., vortices shed from the blade tip and hub could significantly affect the rotor lift force and power output [11]. Power losses also occur during the energy transformation through rotor to mechanical shaft and to generator that converts angular kinetic energy to electrical energy. In addition, sustained high wind speeds could cause strong fatigue and extreme loads on WT systems without proper turbine control or safety protection. Thus, wind power is intended to be constrained, when the inflow wind speed is beyond a rated value (i.e., rated wind speed), through different strategies commonly including stall regulation, pitch regulation, and yaw control [12]. As a result, the output power Pout of a WT is corresponding to four operating stages: (1) zero power when the inflow wind speed is smaller than a cut-in wind speed, (2) exponentially increased power as the wind speed increases between the cut-in wind speed and the rated wind speed, (3) rated output power when the wind speed is between the rated wind speed and a cutout wind speed, and (4) zero power when the inflow wind speed is larger than the cutout wind speed (Figure 2).
\n
Figure 2.
A typical power curve of WTs with four operational stages I–IV.
\n
\n
\n
2.2 Exergy analysis
\n
In thermodynamics, the exergy of a system is defined as the maximum amount of useful work during a process that can bring the system into equilibrium with a reference environment [13]. Based on the second law of thermodynamics, exergy analysis is an alternative useful tool for analysis, evaluation, and design of many power and energy systems, e.g., renewable and traditional energy systems. The significant difference between energy and exergy analyses may be characterized as [6]:
In real irreversible process, exergy is always consumed; thus it is not subjected to a conservation law. In contrast, energy is neither created nor destroyed, but changing from one form to another, during a process. Thus, it is subjected to the conservation of energy law.
Although from a theoretical point of view exergy may be defined without a reference environment, it is often defined as a quantity relative to a specified reference environment and is equal to zero when it is in equilibrium with the reference environment.
\n
The total exergy Ex of a flow with unit mass generally consists of four parts, which can be expressed as
where Exki, Expo, Exph, and Exch represent the kinetic, potential, physical, and chemical exergies, respectively. For thermodynamic analysis of WT systems, the potential exergy and chemical exergy are negligible in the total exergy. Thus, the total exergy for a WT can be reduced as
\n\nEx\n=\n\nEx\nki\n\n+\n\nEx\nph\n\n\nE13
\n
where the kinetic exergy is defined herein as the maximum possible available kinetic energy that the air flow can produce from a wind speed to a complete stop and the physical exergy includes the enthalpy and entropy changes related to the turbine operation. The physical exergy can be calculated as [6, 7].
where the first term and the second term on the right side of Eq. (14) are the enthalpy and entropy contributions, respectively. cp is the specific heat of the flow; T0, T1, T2, Tave are the reference temperature, inlet temperature, outlet temperate, and average temperature, respectively; P1 and P2 are the inlet pressure and outlet pressure, respectively (see Figure 1); and R is a constant related to the gas and water vapor constants. Ideally, temperature and pressure at both inlet and outlet are needed to calculate the physical exergy. However, it is cumbersome to measure the temperatures and pressures at both inlet and outlet for the WT stream tube in real applications, not to mention the situation when evaluating the wind energy resource and/or WT efficiency performance before deploying WTs. In addition, the meteorological variable humidity is not considered in Eq. (14). To handle this difficulty, other studies have provided another formula to calculate the physical exergy for wind energy [3, 5, 14, 15]:
where cp,a and cp,v are specific heat of air and water vapor, respectively; ω0 and ω are the humidity ratio of air at the reference state and at the current state, respectively; Ra and Rv are the gas constant and the water vapor constant, respectively; T0 and P0 are the reference temperature and atmospheric pressure, respectively; and T and p are measured temperature and pressure in this study.
\n
\n
\n
2.3 Energy and exergy efficiencies
\n
The efficiency for wind energy systems is explained by using energy efficiency η and exergy efficiency ψ. The former is obtained as the ratio of useful energy produced by a WT to the total input wind energy, while the latter is defined as the useful exergy created by a WT to the total exergy of the air flow. These general definitions of energy and exergy efficiencies have been introduced in several literature (e.g., [3, 5, 6, 7, 16]). However, the specific definitions of useful energy/exergy for wind energy systems are often not very clearly explained in the literature. In order to avoid confusion, here we define that both the useful energy and useful exergy are equal to the rate of electricity output Eout that a WT can produce under a wind speed (i.e., Eout equals to actual output power Pout). Thus, the energy efficiency and exergy efficiency are calculated as, respectively,
\n\nη\n=\n\n\nE\nout\n\n\nW\nwind\n\n\n\nE16
\n
\n
\n\nψ\n=\n\n\nE\nout\n\nEx\n\n\nE17
\n
where Wwind is the total input wind energy equal to the total kinetic energy given in Eq. (1) and Ex is the total exergy given in Eq. (13). By incorporating the meteorological variables and referring Eqs. (9)–(11), the energy efficiency can be expressed as
Eqs. (18) and (19) derive the energy and exergy efficiencies given various meteorological variables, which can offer a straightforward evaluation of WT efficiency performance in a perspective of energy and exergy before deploying WTs. Hence, it will be beneficial in wind resource evaluation, wind farm site selection, and new WT design.
\n
\n
\n
\n
3. Case study
\n
Using the presented thermodynamic analysis methods for wind energy systems, the wind energy potential is evaluated by investigating the energy and exergy efficiencies of a Goldwind 1.5 MW WT (model GW82/1500) [17], which is assumed to be deployed at Ithaca, New York, where 18-year reanalysis meteorological data are obtained from the Modern-Era Retrospective analysis for Research and Application, version 2 (MERRA-2), the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office [18]. This section explains the site; the meteorological data including wind speed, pressure, temperature, and humidity; and the characteristics of the WT used for thermodynamic analysis.
\n
\n
3.1 Site and data
\n
The wind energy potential is evaluated at Ithaca, which has moderately complex terrain in a landscape dominated by patches of forest, crop fields, hills, waterfalls, and lakes in the Upstate New York (at approximately 42.44° N, 76.50° W, Figure 3). Experiencing a moderate continental climate, Ithaca has long, cold, and snowy winters and warm and humid summers with a dominance of westerly wind flows. The meteorological data are obtained from the MERRA-2 (a meteorological reanalysis data set created by NASA), which has a resolution of 0.5° latitude × 0.625° longitude [19]. Although it does not provide measured data in fields, the meteorological reanalysis is thought as a valuable tool to estimate the long-term variables, such as wind speed and temperature, for subsequent meteorological, climatological, energy, and environmental studies. By specifying the latitude and longitude of Ithaca, five types of meteorological data are retrieved from the MERRA-2 including 10-m eastward wind U10M (in ms−1), 10-m northward wind V10M (in ms−1), surface pressure PS (in Pa), 10-m air temperature T10M (in K), 10-m specific humidity QV10M (in kg kg−1), as well as their hourly time stamps from January 2000 to December 2017. The 10-m horizontal wind speed U is calculated as \n\nU\n=\n\n\nU\n10\n\nM\n2\n\n+\nV\n10\n\nM\n2\n\n,\n\n\n\n and the humidity ratio ω is calculated from the specific humidity as \n\nω\n=\nQV\n10\nM\n/\n\n\n1\n−\nQV\n10\nM\n\n\n\n. In total, there are 18 years of hourly meteorological data used for the thermodynamic analysis of the WT, which is assumed to be deployed in Ithaca, New York.
\n
Figure 3.
Location of Ithaca, New York, where thermodynamic analysis of a 1.5 WM WT is investigated.
\n
\n
\n
3.2 Wind turbine
\n
The expected wind energy that can be harvested at a location is highly related to the WT characteristics, e.g., power curve and the available wind resources. Herein a Goldwind 1.5 MW permanent magnet direct-drive (PMDD) WT (GW85/1500) is assumed to be deployed at Ithaca area and used for evaluating the WT’s energy and exergy efficiencies. Table 1 provides a summary of technical specifications of the WT. Since this study investigates the WT efficiency performance before real deployment, measured output power data are not available. It is assumed that the WT is performing perfectly according to its power curve, which consists of four operational stages (Figure 2). The WT starts to produce electricity at its cut-in wind speed of 3 ms−1, and the produced power is increased to the rated one of 1.5 MW at the rated wind speed of 10.3 ms−1. In order to mitigate the fatigue and structural loadings under sustained high wind, WT control systems (e.g., the active blade pitch control) are operated to maintain the aerodynamic loads applied on blades and control the output power to be constant at the rated power. The WT is stopped, when wind speed is larger than the cut-out wind speed of 22 ms−1, to keep the whole turbine safe under extreme wind conditions. In this study, the power curve is represented by a six-order polynomial equation of wind speed during the cut-in and rated speeds, which is expressed as
\n\n
\n
\n
\n\n
\n
IEC wind class
\n
IIIA
\n
\n
\n
Rated power (kW)
\n
15,000
\n
\n
\n
Cut-in wind speed (ms−1)
\n
3
\n
\n
\n
Rated wind speed (ms−1)
\n
10.3
\n
\n
\n
Cutout wind speed (ms−1)
\n
22
\n
\n
\n
Swept area (m2)
\n
5325
\n
\n
\n
Number of blades
\n
3
\n
\n
\n
Hub height (m)
\n
90
\n
\n
\n
Power control
\n
Active blade pitch control
\n
\n
\n
Generator
\n
PMDD synchronous generator
\n
\n
\n
Rated voltage (V)
\n
690
\n
\n
\n
Yaw system
\n
3 induction motors with hydraulic brakes
\n
\n
\n
Tower
\n
Tubular steel tower
\n
\n
\n
Foundation
\n
Flat foundation
\n
\n
\n
Converter
\n
Full-power convert modular system
\n
\n
\n
Control system
\n
Microprocessor controlled with remote monitoring
\n
\n\n
Table 1.
Technical specifications of the Goldwind 1.5 MW PMDD WT [17].
With the available meteorological data and the selected WT properties, assumptions are made for calculating the energy and exergy efficiencies: (1) the air pressure, temperature, and humidity are not significantly changed in the swept area of the WT. Thus, the surface pressure data, 10-m air temperature, and 10-m specific humidity obtained from the MERRA-2 data are directly used for the thermodynamic analyses. (2) Due to the wind shear effect in the atmospheric boundary layer, the normal wind profile model with a power law exponent of 0.2 is used to convert the 10-m horizontal wind speed to the hub-height (90 m) wind speed according to the IEC standard [20]. It takes about 0.5 hour to convert six channels (five meteorological channels and one channel for time stamps) from the MERRA-2 netCDF4 data to Matlab data and then to calculate 18 years’ hourly energy and exergy efficiencies using the developed Matlab scripts. Results and discussion are elaborated in three aspects: (1) WT efficiency variation in time domain, (2) meteorological variables impact on the efficiencies, and (3) uncertainty of meteorological variables represented by the best-fit distributions.
\n
\n
4.1 Variation of energy and exergy efficiencies in time domain
\n
The energy and exergy efficiencies of the Goldwind WT are calculated by Eqs. (18) and (19), respectively, using the Ithaca meteorological data (wind speed, pressure, temperature, and humidity) retrieved from the MERRA-2 data set. As demonstrated in Figure 4, the variation of energy and exergy efficiencies is more closely following the variation of wind speed comparing with the other three meteorological variables, as wind power is proportional to the cubic of wind speed. Both efficiencies become 0 when the wind speed is less than the cut-in wind speed due to the WT being in idling status at the very low wind speed. As the WT is stopped when wind speed is larger than the cutout wind speed, the efficiencies are also equal to 0. In addition, the energy efficiency present a higher magnitude than that of exergy efficiency, which is consistent with the theoretical derivations (Eqs. (18) and (19)) and previous findings (e.g., [6, 7]). The difference between the two efficiencies is due to exergy destruction caused by irreversibility [7]. The concurrent low temperature and humidity ratio also demonstrate the cold and dry weather in winter of Ithaca.
\n
Figure 4.
Time series of hourly concurrent (a) wind speed U, (b) pressure P, (c) temperature T, (d) humidity ratio ω, and (e) energy efficiency η and exergy efficiency ψ during January 1–7, 2017.
\n
Figure 5 shows the mean and standard deviation of energy and exergy efficiencies in different years and months. Annual means of energy and exergy efficiencies are smaller than the corresponding standard deviations, which indicates a significant variation of WT efficiency performance in 1 year as also demonstrated in Figure 4(e). Neither energy efficiency nor exergy efficiency exhibits clear trend from 2000 to 2017, even though relatively small and large means are observed in 2005 and 2014, respectively (Figure 5(a)). However, both mean and standard deviation of energy and exergy efficiencies present smaller values in summer than those in winter (Figure 5(b)). This seasonal change of efficiencies is likely related to the fact that high sustained wind speeds with strong variation more frequently occur in winter than in summer at the Ithaca area.
\n
Figure 5.
Mean and standard deviation of energy and exergy efficiencies in different (a) years and (b) months.
\n
\n
\n
4.2 Impact of meteorological variables on energy and exergy efficiencies
\n
Relationships between the WT efficiencies and meteorological variables offer the trends of WT efficiency performance as meteorological variables change. Figure 6 shows the scatter diagrams of energy and exergy efficiencies versus the four meteorological variables (wind speed, pressure, temperature, and humidity ratio), as well as their relationships represented by different metrics. A bimodal relationship between the efficiencies and wind speed is observed due to the nonlinearity of the efficiency function with respect to wind speed (Figure 6(a)). The mean curves in Figure 6(a) show that the maximum means of energy and exergy efficiencies are 46.2% and 45.2%, respectively, at the high peaks when the wind speed is equal to ∼9.2 ms−1, while the counterparts at the low peaks are 42.7% and 38.1% when the wind speed is equal to ∼5 ms−1. Despite the large variation, the efficiencies are linearly proportional to temperature and to the inverse of pressure (Figure 6(b and c)). Figure 6(d) shows that both the energy and exergy efficiencies are increased by ∼8% as the humidity ratio is increased from 0.001 to 0.015 kg kg−1, which indicates humidity plays an important role in affecting the WT efficiency performance.
\n
Figure 6.
Relationships between the WT efficiency (energy efficiency η and exergy efficiency ψ) and meteorological variables including (a) wind speed, (b) pressure, (c) temperature, and (d) humidity ratio. All 18-year samples of hourly η and ψ versus wind speed are used in (a). For demonstration, samples in (b), (c), and (d) are conditionally sampled under a wind speed bin of 9 ms−1 (bin width 1 ms−1).
\n
\n
\n
4.3 Uncertainties of meteorological variables and WT efficiencies
\n
Variation of meteorological variables could have significant impact on not only energy and exergy efficiencies as explained in Section 4.2 but also many other aspects, e.g., fatigue and structural reliability. Although Weibull distribution is often used to represent the uncertainty of mean wind speed in long term [21, 22], few previous studies have sought to address which parent distribution best represents other meteorological variables, e.g., pressure, temperature, and humidity for WT analyses. This is an important omission since these meteorological variables could have critical roles, but maybe indirectly, to WT performance. For example, high air humidity, low wind speed, and temperature above ∼10°C are preferred by insects that will increasingly foul the leading edges of WT blades and contaminate the blade surface eventually decreasing the aerodynamic performance [23]. Since both the wind speed and pressure considered herein are zero bounded, four positive-valued distribution types (Weibull, lognormal, gamma, and log-logistic; see Figure 7(a and b)) are fitted to wind speed and pressure using maximum likelihood estimation (MLE). Due to the clear two-peak histograms observed for temperature and humidity ratio, four positive-valued bimodal distributions (bi-Weibull, bi-lognormal, bi-gamma, and bi-log-logistic) are fitted to temperature and humidity ratio (Figure 7(c and d)). The probability density function (PDF) of a bimodal distribution consists of two PDFs with the same distributional type, which is expressed as
Histograms and distribution fits for (a) wind speed, (b) pressure, (c) temperature, and (d) humidity ratio; and (e) empirical cumulative distribution function of energy and exergy efficiencies. In the legends, the log-likelihood values are in parentheses. The bolded distribution with the largest log-likelihood value is selected as the best-fit distribution and is summarized in Table 2. Recall all 18-year samples of hourly meteorological data, and the calculated WT energy and exergy efficiencies are used in Figure 7.
\n
where x represents a meteorological variable; (a1, b1) and (a2, b2) are the parameters of the first and the second constituent PDFs, respectively; and w is the weight for the constituent distributions f(x|a1, b1) in the bimodal distribution form. The candidate distribution with the largest log-likelihood value is selected as the best-fit distribution [24].
\n
Figure 7 and Table 2 summarize the distributional fits for the four meteorological variables. It is found that the log-logistic distribution is best fit for wind speed and pressure (Figure 7(a and b)), despite the commonly used Weibull distribution for mean wind speed. The bi-lognormal and bi-gamma distributions are best fit for temperature and humidity ratio, respectively. The existence of bimodal shape of the distributions of temperature is likely related to the very distinguished high and low temperature corresponding to the summer and winter seasons, respectively, in Ithaca. The same reason explains the bimodal shape for humidity. The obtained specific distributions for the meteorological parameters, provided in Table 2, are readily applicable for WT performance analyses, i.e., fatigue, structure, aerodynamics, and thermodynamics, in moderately complex terrain of the northeastern United States. Figure 7(e) presents the empirical cumulative distribution function (CDF) of energy and exergy efficiencies calculated herein. Due to the large amount of 0 energy and exergy efficiencies when wind speed is below the cut-in wind speed, the CDF curves show that there is a probability of ∼43% that the efficiencies are equal to 0. The largest discrepancy between CDF of energy and exergy efficiencies occurs at efficiencies equal to 0.4. The presented CDF could be used to evaluate the reliability of wind power performance considering realistic meteorological uncertainty.
The best-fit distribution form and distribution parameters for the four meteorological variables.
The distributional fits and empirical histograms are shown in Figure 7.
\n
\n
\n
\n
5. Conclusions
\n
This chapter presents methods and results for thermodynamic analysis of wind energy systems considering four types of meteorological variables, i.e., wind speed, pressure, temperature, and humidity. An improved understanding of WT efficiencies is critically important and necessary before launching any wind projects. The evaluation of WT efficiencies considering thermodynamics, conducted here for an 1.5 MW WT (Goldwind GW82/1500) potentially deployed at Ithaca, New York, is beneficial to WT design, siting, and operation in moderately complex terrain in the northeastern United States. The key concluding remarks are the following:
The chapter offers the fundamental derivations of energy and exergy efficiencies of WTs considering wind speed, pressure, temperature, and humidity, which lay a foundation for the thermodynamic analysis of wind energy systems.
The WT energy efficiency presents higher magnitude than exergy efficiency based on the theoretical derivation and the calculated time series of efficiencies. There is no clear trend of annual variations of mean and standard deviation of both energy and exergy efficiencies. However, a clear seasonal change is found that energy and exergy efficiencies studied herein have smaller values in summer than those in winter.
Although wind speed has a dominating influence, other meteorological variables (i.e., pressure, temperature, and humidity) do have a considerable impact on the WT efficiency performance. The WT efficiencies are linearly associated with pressure and temperature, while it has highly nonlinear relationships with wind speed and humidity ratio.
Log-logistic distributions are most appropriate for the wind speed and pressure data retrieved from the MERRA-2 data set at Ithaca, New York. A bi-lognormal distribution and a bi-gamma distribution are most appropriate for the temperature and humidity ratio, respectively. The obtained PDFs of meteorological variables and CDFs of energy and exergy efficiencies could be beneficial for evaluating the reliability of wind power performance considering realistic meteorological uncertainty in the northeastern United States.
\n
Naturally the specific findings are based on reanalysis meteorological data and the assumed WT deployment; the methodologies of thermodynamic analysis presented here are applicable for real measured meteorological data and recorded WT performance somewhere else if available. In addition, although the thermodynamic analysis of wind energy systems in this chapter focuses on energy and exergy efficiencies, other variables, e.g., dynamic response, fatigue damage, structural deformation, etc., of the PMDD WT are also potentially affected by the meteorological variables, which could be investigated in the future.
\n
\n
Acknowledgments
\n
Support from the National Natural Science Foundation of China (grant numbers 51475417, U1608256, and 51521064) is gratefully acknowledged. Weifei Hu would like to appreciate Dr. Qinjian Jin and Dr. Frederick Letson at Department of Earth and Atmospheric Sciences, Cornell University, for the introduction and discussion of the MERRA-2 data.
\n
Conflict of interest
The authors certify that this work has no conflict of interest with any organization or entity in the subject matter or materials discussed in this chapter.
\n
Nomenclature
\n
\n\n\nA\n\n
rotor swept area
\n\n\n\nCP\n\n
power coefficient
\n\n\n\ncp, cp,a, cp,v\n\n
specific heat of flow, specific heat of air, specific heat of water vapor
\n\n\n\nEk\n\n
kinetic energy
\n\n\n\nEx\n\n
exergy
\n\n\n\nExki\n\n
kinetic exergy
\n\n\n\nExpo\n\n
potential exergy
\n\n\n\nExph\n\n
physical exergy
\n\n\n\nExch\n\n
chemical exergy
\n\n\n\nf\n\n
PDF of meteorological variables
\n\n\n\nm\n\n
mass
\n\n\n\nP\n\n
wind power/wind pressure
\n\n\n\nP0, P1, P2, Pave, p\n\n
reference pressure, inlet pressure, outlet pressure, average pressure, and wind pressure in humid air, respectively
\n\n\n\nPS\n\n
surface pressure retrieved from the MERRA-2 data set
\n\n\n\nQV10M\n\n
10-m specific humidity retrieved from the MERRA-2 data set
\n\n\n\nRa, Rv\n\n
gas constant and water vapor constant, respectively
\n\n\n\nT0, T1, T2, Tave\n\n
reference temperature, inlet temperature, outlet temperature, and average temperature, respectively
\n\n\n\nT10M\n\n
10-m air temperature retrieved from the MERRA-2 data set
\n\n\n\nU\n\n
10-m horizontal wind speed
\n\n\n\nU10M\n\n
10-m eastward wind speed retrieved from the MERRA-2 data set
\n\n\n\nV10M\n\n
10-m northward wind speed retrieved from the MERRA-2 data set
\n\n\n\nV\n\n
wind speed
\n\n\n\nWwind\n\n
total input wind energy
\n\n\n\nη\n\n
energy efficiency
\n\n\n\nψ\n\n
exergy efficiency
\n\n\n\nρ\n\n
air density [kgm−3]
\n\n\n\nω0/ω\n\n
humidity ratio of air at the reference state/at the current state
\n\n\n\nMERRA-2\n\n
Modern-Era Retrospective Analysis for Research and Applications, Version 2
\n\n\n\nNASA\n\n
National Aeronautics and Space Administration
\n\n\n\nPMDD\n\n
permanent magnet direct-drive
\n\n\n\nWTs/WT\n\n
wind turbines/wind turbine
\n\n\n
\n
\n',keywords:"wind energy, thermodynamic analysis, energy efficiency, exergy efficiency, meteorological uncertainty, wind speed, pressure, temperature, humidity",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/66115.pdf",chapterXML:"https://mts.intechopen.com/source/xml/66115.xml",downloadPdfUrl:"/chapter/pdf-download/66115",previewPdfUrl:"/chapter/pdf-preview/66115",totalDownloads:530,totalViews:0,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,dateSubmitted:"June 13th 2018",dateReviewed:"February 8th 2019",datePrePublished:"March 12th 2019",datePublished:"February 26th 2020",dateFinished:null,readingETA:"0",abstract:"This chapter studies the efficiency performance of wind energy systems evaluated by energy and exergy analyses. The theories of energy and exergy analyses along with efficiency calculation for horizontal-axis wind turbines (WTs) are provided by a lucid explanation. A 1.5 MW WT is selected for the thermodynamic analysis using reanalyzed meteorological data retrieved from the National Aeronautics and Space Administration’s (NASA) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), data set. Matlab scripts are developed to calculate the energy and exergy efficiencies using the MERRA-2 data set. The energy efficiency presents higher magnitude than the exergy efficiency based on the theoretical derivation and the calculated time series of efficiencies. Comparison of impacts of four meteorological variables (wind speed, pressure, temperature, and humidity ratio) on WT efficiencies shows that although wind speed dominates the turbine’s efficiency performance, other meteorological variables also play important roles. In addition, uncertainties of the meteorological variables are represented by the best-fit distributions, which are critically important for evaluating the reliability of wind power performance considering realistic meteorological uncertainty.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/66115",risUrl:"/chapter/ris/66115",book:{slug:"wind-solar-hybrid-renewable-energy-system"},signatures:"Weifei Hu, Zhenyu Liu and Jianrong Tan",authors:[{id:"155721",title:"Prof.",name:"Jianrong",middleName:null,surname:"Tan",fullName:"Jianrong Tan",slug:"jianrong-tan",email:"egi@zju.edu.cn",position:null,institution:null},{id:"262850",title:"Dr.",name:"Weifei",middleName:null,surname:"Hu",fullName:"Weifei Hu",slug:"weifei-hu",email:"wh348@cornell.edu",position:null,institution:null},{id:"272385",title:"Prof.",name:"Zhenyu",middleName:null,surname:"Liu",fullName:"Zhenyu Liu",slug:"zhenyu-liu",email:"liuzy@zju.edu.cn",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Theory",level:"1"},{id:"sec_2_2",title:"2.1 Energy analysis",level:"2"},{id:"sec_3_2",title:"2.2 Exergy analysis",level:"2"},{id:"sec_4_2",title:"2.3 Energy and exergy efficiencies",level:"2"},{id:"sec_6",title:"3. Case study",level:"1"},{id:"sec_6_2",title:"3.1 Site and data",level:"2"},{id:"sec_7_2",title:"3.2 Wind turbine",level:"2"},{id:"sec_9",title:"4. Results and discussion",level:"1"},{id:"sec_9_2",title:"4.1 Variation of energy and exergy efficiencies in time domain",level:"2"},{id:"sec_10_2",title:"4.2 Impact of meteorological variables on energy and exergy efficiencies",level:"2"},{id:"sec_11_2",title:"4.3 Uncertainties of meteorological variables and WT efficiencies",level:"2"},{id:"sec_13",title:"5. Conclusions",level:"1"},{id:"sec_14",title:"Acknowledgments",level:"1"},{id:"sec_17",title:"Conflict of interest",level:"1"},{id:"sec_14",title:"Nomenclature",level:"1"}],chapterReferences:[{id:"B1",body:'Global Wind Energy Council. Global Wind Statistics. 2016. Available from: http://www.gwec.net/wp-content/uploads/vip/GWEC_PRstats2016_EN_WEB.pdf [Accessed: June 1, 2018]\n'},{id:"B2",body:'U.S. Department of Energy. 20% Wind Energy by 2030–Increasing Wind Energy’s Contribution to U.S. Electricity Supply. U.S. Department of Energy, Office of Scientific and Technical Information: Oak Ridge, TN; 2008\n'},{id:"B3",body:'Baskut O, Ozgener O, Ozgener L. Effects of meteorological variables on exergetic efficiency of wind turbine power plants. Renewable and Sustainable Energy Reviews. 2010;14:3237-3241\n'},{id:"B4",body:'Krakow KI. Exergy analysis: Dead-state definition. ASHRAE Transactions. 1991;97:328-336\n'},{id:"B5",body:'Ozgener O, Ozgener L. Exergy and reliability analysis of wind turbine systems: A case study. Renewable and Sustainable Energy Reviews. 2007;11:1811-1826\n'},{id:"B6",body:'Şahin AD, Dincer I, Rosen MA. Thermodynamic analysis of wind energy. International Journal of Energy Research. 2006;30:553-566\n'},{id:"B7",body:'Redha AM, Dincer I, Gadalla M. Thermodynamic performance assessment of wind energy systems: An application. Energy. 2011;36:4002-4010\n'},{id:"B8",body:'Lanchester FW. A contribution to the theory of propulsion and the screw propeller. Journal of the American Society for Naval Engineers. 1915;27:509-510\n'},{id:"B9",body:'Betz A. Schraubenpropeller mit geringstem Energieverlust. Gottinger Nachrichten. 1919:193-213\n'},{id:"B10",body:'Burton T, Jenkins N, Sharpe D, Bossanyi E. Aerodynamics of horizontal axis wind turbine. In: Burton T, Jenkins N, Sharpe D, Bossanyi E, editors. Wind Energy Handbook. 2nd ed. John Wiley & Sons; 2011. pp. 39-136\n'},{id:"B11",body:'Moriarty PJ, Hansen AC. AeroDyn Theory Manual: National Renewable Energy Laboratory Golden. Colorado: USA; 2005. pp. 2-10\n'},{id:"B12",body:'Hansen MO. Aerodynamics of Wind Turbines. London: Routledge; 2015. pp. 63-77\n'},{id:"B13",body:'Rant Z. Exergie, ein neues wort fur ‘technische arbeitsfaehigkeit’(exergy, a new word for technical availability). Forschung auf dem Gebiet des Ingenieurwesens A. 1956;22:36-37\n'},{id:"B14",body:'Wepfer W. Proper evaluation of available energy for HVAC. ASHRAE Transactions. 1979;85:214-230\n'},{id:"B15",body:'Dincer I, Sahin AZ. A new model for thermodynamic analysis of a drying process. International Journal of Heat and Mass Transfer. 2004;47:645-652\n'},{id:"B16",body:'Pope K, Dincer I, Naterer GF. Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines. Renewable Energy. 2010;35:2102-2113\n'},{id:"B17",body:'Goldwind. 1.5 MW Permanent Magnet Direct-Drive (PMDD) Wind Turbine. Available from: https://www.goldwindamericas.com/15-mw-pmdd [Accessed: August 15, 2018]\n'},{id:"B18",body:'Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L, et al. The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). Journal of Climate. 2017;30:5419-5454\n'},{id:"B19",body:'NASA. MERRA-2: File specification. Greenbelt, Maryland: Global Modeling and Assimilation Office, Earth Sciences Division, NASA Goddard Space Flight Center; 2016\n'},{id:"B20",body:'International Electrotechnical Commission. Wind turbines—part I: Design requirements. IEC standard 61400–1. 3rd ed; 2005\n'},{id:"B21",body:'Hu W, Choi K, Zhupanska O, Buchholz JH. Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades. Structural and Multidisciplinary Optimization. 2016;53:375-394\n'},{id:"B22",body:'Hu W, Choi K, Cho H. Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty. Structural and Multidisciplinary Optimization. 2016;54:953-970\n'},{id:"B23",body:'Dalili N, Edrisy A, Carriveau R. A review of surface engineering issues critical to wind turbine performance. Renewable and Sustainable Energy Reviews. 2009;13:428-438\n'},{id:"B24",body:'Hogg RV, Craig AT, McKean JW. Introduction to Mathematical Statistics. 6th ed. Upper Saddle River, New Jersey: Pearson Prentice Hall; 2005. pp. 311-317\n'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Weifei Hu",address:null,affiliation:'
School of Mechanical Engineering, Zhejiang University, P.R. China
State Key Laboratory of CAD & CG, Zhejiang University, P.R. China
'}],corrections:null},book:{id:"7636",title:"Wind Solar Hybrid Renewable Energy System",subtitle:null,fullTitle:"Wind Solar Hybrid Renewable Energy System",slug:"wind-solar-hybrid-renewable-energy-system",publishedDate:"February 26th 2020",bookSignature:"Kenneth Eloghene Okedu, Ahmed Tahour and Abdel Ghani Aissaou",coverURL:"https://cdn.intechopen.com/books/images_new/7636.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"172580",title:"Dr.",name:"Kenneth Eloghene",middleName:null,surname:"Okedu",slug:"kenneth-eloghene-okedu",fullName:"Kenneth Eloghene Okedu"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"66115",title:"Thermodynamic Analysis of Wind Energy Systems",slug:"thermodynamic-analysis-of-wind-energy-systems",totalDownloads:530,totalCrossrefCites:2,signatures:"Weifei Hu, Zhenyu Liu and Jianrong 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1. Introduction
The mankind has relied on different sources of energy during its economic development throughout the centuries. Whereas coal has been the main energy source in the nineteenth century, oil was in twentieth one. The possible scenarios for remediation of greenhouse effect due to carbon dioxide released by energy production and industry are rendered to minimization of emissions and its recycling. The latter is accomplished by the production of energy sources and chemicals of practical importance from carbon dioxide.
The emission minimization consists in two approaches: replacement of the fossil fuels by renewable ones (solar, wind energies, biomass, etc.) or improvement of energy efficiency in all human activities in different ways. The distribution of energy sources for the European Union for the year 2016 is shown in Figure 1. One can see that the share of renewables is bigger than the powerful nuclear energy with a leading role in energy production. The biggest part (more than 60%) of the renewable energy sources is assigned to the biomass and waste utilization.
Figure 1.
Production of primary energy, EU-28, 2016 (% of total, based on tons of oil equivalent). Source: Eurostat (nrg_100a) and (nrg_107a) [1].
One of the ways to cope with the problem of carbon dioxide emissions is to close the carbon cycle using renewable fuels from presently grown biomass, by recycling the released carbon dioxide by the present vegetation by photosynthesis. This is the philosophy of biomass utilization as energy source. The most spread biofuels in the present period are biogas, produced by anaerobic digestion of organic waste, bioethanol, produced from cereals and/or lignocellulosic residues and biodiesel, produced by trans-esterification of lipids with methanol or ethanol.
In this review, we shall concentrate ourselves to the application of biogas as renewable energy source and also as a feedstock for the production of chemicals and other fuels.
2. Biogas production
Biogas is produced by anaerobic digestion of organic matter of natural origin [2, 3, 4]. The main advantage of this process consists in the combined environmental and energy effect.
Biogas consists mainly of methane, carbon dioxide, and traces of hydrogen sulfide and mercaptanes, as well as residual amounts of oxygen and nitrogen. Small amounts of ethane and hydrogen are possible too. Biogas is obtained by anaerobic digestion of organic waste of biologic origin. The most exploited ones are of agricultural origin (manure, poultry litter, hay, and straw) [5], from food industry, stillage from ethanol production [6], landfill gas, activated sludge from wastewater treatment plants, etc. One of the simplest and the mostly spread flow sheets for biogas production and utilization is shown in Figure 2 [7].
Figure 2.
Illustration of biogas cycle, formation, and applications. Scheme taken from [7].
The main fuel in the scheme, shown in Figure 2, is biogas, utilized for energy (thermal one and electricity) or fuel for transport. The carbon dioxide released after combustion is absorbed by the vegetation by photosynthesis, thus closing the carbon cycle. The residual sludge from the digester is rich of organic nitrogen, and therefore, it is suitable for fertilizing the soil.
In the past, biogas has been widely spread as an energy source in the households in the countries of Africa and Asia. Although quite primitive as design, the anaerobic digesters have solved the problems with autonomous energy supply for many households in India, Pakistan, Indo-China, etc.
Later, biogas became very important and essential share as energy source for the countries in Western Europe and Northern America. Besides heating, biogas is now more frequently used for the production of electricity and transport fuel in many municipalities. It is already added to the pipelines for natural gas distribution of household purposes.
A new trend in biogas production and utilization is the so-called biorefinery concept. This concept not only presumes the use of renewable biomass as energy source but also combines it with the production of chemicals, such as plastics, solvents, and synthetic fuels [8]. An example for this is the Danish Bioethanol Concept presented by Zafar [9]. It comprises the ethanol production from lignocellulosic biomass with biogas production of the stillage and cellulose waste. The residual cellulose waste is additionally recycled after wet-oxidation for additional conversion into biogas. A detailed review on biogas applications is published recently by Sawyerr et al. [10].
2.1 Some constructions of anaerobic digesters
The variety of anaerobic digesters for biogas production is very broad: from the very primitive pits to most sophisticated bioreactors, such as the floating drum reactor, the upflow anaerobic sludge blanket (UASB) reactor [11, 12, 13], and multistage bioreactor with separated compartments [14, 15]. The choice for anaerobic digester depends on the origin of substrate, and the intermediates are converted during the consecutive steps of hydrolysis, acidification, acetogenesis, and final methanation. In case an accumulation of fatty acids takes place, the reactor with separated compartments is preferable. The most exploited digester for biogas production from domestic waste, activated sludge, and manure is the UASB reactor.
2.2 Substrates for biogas
The mostly used substrates for biogas production are the manure from cattle, pigs, and poultry litter. This application competes with the traditional use of manure for soil fertilization. When the amounts of manure prevail the demand for fertilization, biogas production is welcome because double problem is solved: on the one hand, the waste is destroyed and removed, and on the other hand, renewable energy is produced saving money and contributing for carbon cycle closing. That is why attention is paid to the utilization of cattle dung, lignocellulose waste, waste from food and beverage processing, activated sludge from wastewater treatment plants, and household solid waste with landfill gas use. The waste treatment is associated with energy production and reduction of the energy demand of the main enterprise.
2.2.1 Biogas from glycerol
Crude glycerol is the main residue from biodiesel production. The amount of this waste product is about 10% from the produced fuel. The poor quality of this glycerol, containing water, potassium hydroxide, and some methanol makes it non-suitable for market purposes even after purification. One alternative utilization of this residual glycerol is in its direct conversion into biogas, thus supplying the biodiesel plant with energy simultaneously. However, as a very simple and digestible substrate, glycerol yields large amounts of organic acids as intermediates, leading to strong inhibition of methanogenic bacteria [16, 17, 18]. That is why glycerol must be used as substrate for biogas production very cautiously with the addition of small amounts, thus making this process with little practical use. It is reported, however, that small additions of glycerol to other basic substrates, i.e. manure, can boost biogas production, as reported by Robra et al. [19] and Astals et al. [20].
Food industry is also a good source for biogas production.
3. Biogas applications
3.1 Biogas for heating
Traditional biogas contains approximately 60% (vol.) methane, almost 40% carbon dioxide, small amounts of ethane and hydrogen (less than 0.5% together), hydrogen sulfide and mercaptanes (some ppm), humidity, and traces of oxygen. Its net energy capacity is ca. 24 MJ/nm3 at methane content of 60% (vol.). The first and most direct use of biogas is for heating purposes for maintenance of the equipment and the farm, where the animal dung is treated. The same applies for its use for domestic purposes, besides heating, e.g., cooking and lighting, as firstly used in Asian and African countries.
Another more sophisticated use of the biogas heating capacity is its utilization as heat energy in beverage and ethanol production. There the stillage remaining after distillation is recycled for biogas production. The resulting biogas is combusted for boiler heating and for energy for operation of distillation columns. Thus, the problems with the treatment of the residual stillage are solved by conversion into biogas, thus mitigating the problems with energy supply and spending. Calculations show that in some cases, stillage utilization as biogas can cover almost the whole energy demand for heating the distillation process. Besides these straightforward applications, biogas is also injected into the grid for natural gas supply for domestic use [21, 22]. For this purpose, a preliminary scrubbing of the carbon dioxide and sulfur compounds is necessary.
3.2 Biogas for electricity
Biogas is suitable for generation of electric power in combination with heat recovery. Usually the gas is combusted in engines with internal combustion coupled to turbine. The released heat (being around 60% of the utilized energy) is used for heating purposes for maintenance of the anaerobic digester or for household needs. This method is widely applied for the treatment of activated sludge, a residue from municipal wastewater treatment plants [23, 24].
Electricity production by gas turbines can be applied by biogas as a fuel, thus replacing the natural gas for small-scale applications (or power within 25–100 kW).
3.3 Biogas for transport
The use of biogas as a fuel for civil transport and road vehicles instead of natural gas is already spread in Western Europe and the United States [25]. There are many vehicles in Sweden operating on biogas in the urban public transport [26].
3.4 Biogas in fuel cells
Another very attractive application of biogas for electricity production is its use in fuel cells. The specialized cells for these purposes are described briefly by O’Hayre et al. [27]. Prior to biogas feed, carbon dioxide and sulfur compounds must be removed by scrubbing to avoid corrosion and catalyst poisoning and to rise the gas energy capacity. A sketch of such a fuel cell is shown in Figure 3, cf. [28].
Figure 3.
Principal sketch of methane-driven fuel cell, from [28].
The classic process for methane-driven fuel cells is to convert catalytically by steam reforming methane into a mixture of carbon monoxide and hydrogen and to use the latter in a traditional hydrogen/oxygen fuel cell to generate electricity. The advantages of fuel cell applications with methane as a fuel compared to the traditional heat power stations consist in their higher efficiency, clean waste gases (containing almost only carbon dioxide), and higher efficiency at low loads than the gas turbine equipment [29]. Moreover, the released heat can be utilized for different purposes; the main one is to maintain the temperature regime in the fuel cell. There are many practical applications of these methods. It is already widely commercialized. A disadvantage of this method is the necessity of consequent reactions of steam reforming and carbon monoxide removal as well as the operation at high temperatures (about 750°C), being harmful for the metal parts of the equipment [30, 31]. Higher temperatures are preferred to avoid coke deposition on the catalyst [31].
There are new efforts to lower the operation temperature to 500°C in order to keep the equipment durability [32, 33]. Another improvement of the technology is to use the mixture of carbon monoxide and hydrogen as a fuel simultaneously, thus simplifying the whole process, but applying new catalytic process.
The most attractive option is to convert methane (biogas, respectively) into electricity in one step, thus avoiding the steam reforming and carbon dioxide removal. There are some new studies showing direct catalytic oxidation of methane in the anodic space of solid oxide fuel cells (SOFCs), with direct activation of the C-H bonds in the methane molecule [28, 34, 35, 36]. A platinum catalyst was used for this purpose at low temperatures, e.g., 80°C. However, the catalyst deactivates, and the process is limited by methane diffusion in the anodic space. As a result, the power density is still low for practical use.
3.5 Biogas for chemicals
Besides as a fuel, biogas could be used as a feedstock for synthetic organic fuel production. There are studies claiming for biogas recovery as fuels applying catalytic auto-reforming. Another approach is the dry reforming consisting in converting the equimolar mixture of methane and carbon dioxide into synthesis gas (an equimolar mixture of carbon monoxide and hydrogen).
Afterward, this synthesis gas is converted into a mixture of light hydrocarbons by the catalytic Fischer-Tropsch process. The resulting Fischer-Tropsch process yields liquid hydrocarbon fuels (methanol and dimethyl ether). The intrinsically high-energy density of these fuels and their transportability make them highly desirable. Such synthetic fuels do not contain any sulfur. In addition, methanol (arguably the “simplest” synthetic carbonaceous fuel) is a candidate both as a hydrogen source for a fuel cell vehicle and indeed as a transport fuel, and dimethyl ether is viewed as a “superclean” diesel fuel [36]. It is well known that methanol is a starting material in chemical industry. It is a liquid at room temperature and has much easier storage and transport capabilities than alternatives such as methane and hydrogen. Methanol is used as solvent, gasoline additive, and a chemical feedstock for production of biodiesel and other chemicals of high value. Therefore, the wide application of methanol motivates its large-scale production, which is ever increasing.
However, presently, the dominant technology of methanol is a two-step catalytic process, which is too expensive. A large number of industrial-scale chemical manufacturing processes are currently operated worldwide on the basis of strongly endothermic chemical reactions. The steam reforming of hydrocarbons to yield syngas and hydrogen is a classic example:
CH4+H2O→CO+3H2ΔH298K0=+206.3kJ/molE1
The above, highly endothermic reaction is used worldwide for the high-volume production of “merchant hydrogen” in the gas, food, and fertilizer industries, i.e., other portions of energy have to be spent with the consequent air pollution by carbon dioxide.
At present, a relevant technology for methanol production resides in the transformation of CO2 and CH4 to molecules having industrial added values. Among such technologies, a great attention is focused on the production of synthesis gas (gaseous mixture of CO and H2) that constitutes a versatile building block for subsequent production of methanol or chemical intermediates in petrochemical industries. Methanol is still produced on a world scale from synthesis gas, which is combination of varying amounts of H2, CO, and CO2 (at 200–300°C, 50–100 bar), which is itself product of steam reforming of methane (SRM; at ca. 800°C over Ni-based catalyst), followed by further conversion processes such as Fischer-Tropsch (FT) synthesis. This two-step process incurs high energy and capital demands. Additionally, this process gives many other light and heavy weight co-products along with the methanol product. Therefore, additional energy and cost in the conventional methanol plants are directed to the separation of these coproducts from methanol prior to the final deposition of product.
The direct synthesis of methanol from syngas requires a H2/CO ratio of about 2 [37, 38]. Since the syngas produced by dry reforming of methane (DRM) is too poor of H2 (H2/CO ≤ 1) to be fed to a FT synthesis unit, the bi-reforming of methane (BRM), combining DRM with steam reforming of methane (SRM) (H2/CO = 3) and the utilization of the most important two greenhouse gases CH4 and CO2 with water, may yield a syngas with ratio close to 2, the so-called “metgas”:
3CH4+CO2+H2O⇔4CO+8H2E2
To date, only one plant with the combination of steam and dry reforming has been recently demonstrated by the Japan Oil, Gas, and Metals National Cooperation. No other industrial technology for DRM has been developed because the selection and design of suitable reforming catalyst remain an important challenge. Ni-based catalysts are the most attractive candidates for large-scale industrial applications due to their high activity in DRM and SRM [39, 40, 41, 42, 43], low cost, and wide availability compared to noble metals. However, they are sensitive to deactivation caused by the metal particles sintering and carbon formation at high reaction temperature of reforming processes. Development of selective and coke-resistance modified Ni-based reforming catalysts is a key challenge for successful application of bi-reforming for methanol production. Modifying Ni catalysts with suitable promoters and supported on reducible metal oxide carriers will give the opportunity to develop active and stable catalysts for bi-reforming of methane.
A “super-dry” CH4 reforming reaction for enhanced CO production from CH4 and CO2 was developed [44]. Ni/MgAl2O4 was used as a CH4 reforming catalyst, Fe2O3/MgAl2O4 was used as a solid oxygen carrier, and CaO/Al2O3 was used as a CO2 sorbent. The isothermal coupling of these three different processes resulted in a higher CO production than conventional dry reforming by avoiding back reactions with water. Equation (3) shows the global reaction of this two-step process, in which CO and H2O are inherently separated because of the two-step process configuration:
It is important to note that despite the apparently higher endothermic effect of the super-dry reforming process than conventional DRM (Eq. 1), the required heat input per mole CO2 converted is much lower (110 kJ/mol CO2 compared to 247 kJ/mol CO2). Finally, given the availability of a renewable source of H2, applications are possible where CO and H2 can be combined in different ratios for the formation of chemicals or fuels [45, 46]. Indeed, an efficient and separate production of high purity CO and H2 would further establish the role of syngas as a versatile and flexible platform mixture.
All these methods and techniques are applicable when biogas is available. Some other applications are described briefly below.
3.5.1 Biogas as a feedstock for value-added chemicals
First of all, biogas must be purified for sulfur compounds prior to its use [47]. Afterward, methane and carbon dioxide have to be separated by membrane processes using gas-liquid systems [48] or swing pressure adsorption [49]. Once methane and carbon dioxide are separated, each of them has its own route for further application. Besides the already mentioned applications as a fuel for transport and energy purposes, dry reforming and steam reforming to obtain synthesis gas, the purified methane can be converted into light hydrocarbons, e.g., ethane and ethylene by advanced methods, like the so-called VYJ process [50, 51, 52, 53]. By this method, methane is converted in one step into ethylene by catalytic or electrocatalytic reaction [54, 55, 56].
High yields up to 88% in total are attained [50]. The rest of nonreacted methane is trapped in molecular sieves and recycled to the reactor [50, 53, 54]. In this way, the use of methane reaches 97% with an ethylene yield of 85% [50].
As ethylene is a basic feedstock for the mostly spread polymerizations and many value-added chemicals, it is clear that this way of biogas utilization is quite promising one.
4. Methodologies for energy demand evaluation in biogas production
The usual criteria for the feasibility of an anaerobic digestion technology are the type of digester, the operation temperature, the necessary retention time of the substrate in the reactor, the substrate acidity (the initial pH value), and the presence of certain chemicals in the inlet slurry.
However, the most important one is energy demand for the biogas formation and the energy potential of the produced biogas.
There are two typical temperature ranges for biogas production: mesophilic one (at 30–35°C) and thermophilic one (at 55–60°C). Different genera of methanogenic microorganisms are capable to accomplish the processes in those two cases. The advantages of the thermophilic regime are in the higher production rate and the lack of pathogens in the outlet slurry. However, the energy input for maintenance of this regime is higher than for the mesophilic one.
The question of the energy demand for any industrial process is of crucial importance for its economic reliability. The same applies to biogas production.
There are some methodologies for the estimation of the feasibility of biogas production [57, 58]. They all involve the demand of heat for temperature maintenance and electricity for mechanical operations (stirring, pumping, and transport) and comparison to the energy yield after anaerobic digestion.
Generally, the operations for a certain flowsheet are separated into production processes and support ones. The production processes in the considered case are the reception of the substrate and its storage, pre-treatment of feed (dilution, pH adjustment, acid hydrolysis, etc.), and anaerobic digestion with biogas production. The removal of the digestate and its storage and processing are also included. This set of processes is called as Level 1 [57].
Once biogas is produced, it could be used for direct heat and/or electricity production and supplied to customers or for own use (Level 2). More sophisticated operations, such as gas cleaning, upgrading (i.e., removal of carbon dioxide), and compressing the upgraded gas, are required if the gas will be distributed by the gas distribution grid or for some chemical applications.
The methodologies for energy demand evaluation consist in the inventory of all such processes and auxiliary ones with their energy demand per unit production (i.e., amount of produced biogas with certain energy potential). Then, the overall energy demand is compared to the biogas yield with its energy potential, and the percentage of the energy input to the overall yield is a measure for feasibility of the studied technology.
The structures of the energy demand for different flow sheets and the weight of different subprocesses depend on the substrate properties (particles size, chemical structure and content, moisture, and total solid content) and the amount to be treated, the digester construction and design.
Berglund and Borjesson [58] proposed a methodology based on the life-cycle perspective including the energy required for the production of the substrates (including crop growth, harvesting, transport, etc.). The energy efficiency is defined by the ratio of the energy input to the energy yield of the produced biogas. It was found that the energy input corresponds mainly to 15–40% of the energy content of the produced biogas. The subprocesses of extensive handling of raw materials may lead to considerably increase the energy input and thus to undermine the feasibility of the entire technology.
In case the gas will be used as a feedstock for other chemical applications (e.g., dry reforming and steam reforming), the operational costs of the processes at Levels 1 and 2 have to be compared to the operational costs for the chemical processes and the prices of the produced chemicals or other final products.
5. Residual carbon dioxide
The main disadvantage of biomass produced fuels is the inevitable release of CO2 in the atmosphere after combustion. Therefore, big efforts are made in the recent years for remediation of this adverse effect of greenhouse gas. The best way to cope with this problem is the natural assimilation by the vegetation by photosynthesis, but it is not sufficient due to the very large emissions from industrial sources, energy production, transport, and household. That is why many other methods are proposed and studied in the recent years.
One of them is the direct use of pure carbon dioxide as a solvent in supercritical extraction in the pharmaceutical industry. However, this application is limited and cannot be a substantial solution of the problem. There are many efforts to recycle carbon dioxide to produce different organic chemicals: formic acid, methanol, dimethyl-ether, poly-carbonates, acrylic acid, etc. [59, 60]. All of these methods are applicable for the residual carbon dioxide after separation from biogas. Therefore, not only methane but also carbon dioxide in biogas is valuable source of energy and value-added product.
6. Conclusions
The data presented here illustrate one of the very important biorefinery approaches to produce simultaneous energy and value-added chemicals from biomass, thus reducing the demand of fossil fuels and resulting in overloading of atmosphere by greenhouse gases. The same applies to the water and soil pollution, since those resulting from biomass processing are nature compatible and facilitate the formation of close energy and material cycle. One of the ways to do it is biogas production from such waste.
At the end, we can say that biogas extends its area of application leading simultaneously to protect the environment by waste treatment, natural gas, and fossil fuel saving, as well as to replace, at least partially, the oil as a feedstock for organic value-added products.
Acknowledgments
This work was supported by the Bulgarian Ministry of Education and Science under the National Research Program Eplus: Low Carbon Energy for the Transport and Households, grant agreement D01-214/2018.
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"biogas, renewable energy, fuels, fuel cells, chemicals",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/70804.pdf",chapterXML:"https://mts.intechopen.com/source/xml/70804.xml",downloadPdfUrl:"/chapter/pdf-download/70804",previewPdfUrl:"/chapter/pdf-preview/70804",totalDownloads:281,totalViews:0,totalCrossrefCites:2,dateSubmitted:"April 29th 2019",dateReviewed:"November 19th 2019",datePrePublished:"January 13th 2020",datePublished:null,dateFinished:null,readingETA:"0",abstract:"The global economic development in the twentieth century has led to extensive use of fossils, such as oil, natural gas, and coal as fuels and chemical feedstocks. This extensive use of fossil fuels has led to enormous emissions of carbon dioxide as final product of combustion. The high absorption rate of infra-red rays by carbon dioxide has led to the so-called “greenhouse” effect. Nowadays, the renewable energy sources based on biomass have become very important with a trend to replace oil consumption at least partially and hence to remediate the emissions of greenhouse gases in atmosphere. Biofuels could be used as alternative raw material for chemical production. One of these biofuels is biogas released at anaerobic digestion of different natural organic waste. Another feature of biogas applications is its utilization as feedstock for the production of synthetic fuels and chemicals being now produced from oil and coal. A new approach is to use biogas as a fuel in fuel cells as a very promising option for energy production from renewable sources. The present review summarizes the applications of biogas for chemicals, starting with dry reforming and Fischer-Tropsch syntheses and as a source of energy, as heat and electricity production by co-generation and fuel cells.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/70804",risUrl:"/chapter/ris/70804",signatures:"Sonia Damyanova and Venko Beschkov",book:{id:"9184",title:"Biorefinery Concepts, Energy and Products",subtitle:null,fullTitle:"Biorefinery Concepts, Energy and Products",slug:"biorefinery-concepts-energy-and-products",publishedDate:"October 7th 2020",bookSignature:"Venko Beschkov",coverURL:"https://cdn.intechopen.com/books/images_new/9184.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"191530",title:"Prof.",name:"Venko",middleName:null,surname:"Beschkov",slug:"venko-beschkov",fullName:"Venko Beschkov"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Biogas production",level:"1"},{id:"sec_2_2",title:"2.1 Some constructions of anaerobic digesters",level:"2"},{id:"sec_3_2",title:"2.2 Substrates for biogas",level:"2"},{id:"sec_3_3",title:"2.2.1 Biogas from glycerol",level:"3"},{id:"sec_6",title:"3. Biogas applications",level:"1"},{id:"sec_6_2",title:"3.1 Biogas for heating",level:"2"},{id:"sec_7_2",title:"3.2 Biogas for electricity",level:"2"},{id:"sec_8_2",title:"3.3 Biogas for transport",level:"2"},{id:"sec_9_2",title:"3.4 Biogas in fuel cells",level:"2"},{id:"sec_10_2",title:"3.5 Biogas for chemicals",level:"2"},{id:"sec_10_3",title:"3.5.1 Biogas as a feedstock for value-added chemicals",level:"3"},{id:"sec_13",title:"4. Methodologies for energy demand evaluation in biogas production",level:"1"},{id:"sec_14",title:"5. Residual carbon dioxide",level:"1"},{id:"sec_15",title:"6. 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Institute of Catalysis, Bulgarian Academy of Sciences, Bulgaria
Institute of Chemical Engineering, Bulgarian Academy of Sciences, Bulgaria
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He obtained the degree of Master of Science in April 2001 and his Ph.D. in Chemical Sciences in September 2006. He made a postdoctoral stay at the Institute of Chemistry of the National Autonomous University of Mexico, during the period February 2007 to February 2008 and a postdoctoral stay March 2008 to February 2009, in the Laboratory of Nanotechnology and Molecular Engineering of the Universidad Autónoma Metropolitana-Iztapalapa. In this institution I work as a Research Assistant in a multidisciplinary project in the period March 2009 to June 2010. He is a member of the National System of Researchers with the appointment of Candidate level in the 2010-2012 period and level 1 for the period 2013- 2015 and 2016-2019. He is a Research Professor C, attached to the Division of Graduate Studies and Research Technological Institute of Ciudad Madero from October 2010 to date.",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186469/images/5149_n.png",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"3",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:{name:"Instituto Tecnológico de Ciudad Madero",institutionURL:null,country:{name:"Mexico"}}},booksEdited:[],chaptersAuthored:[{title:"Evaluation of Addition of Reactive Resin for an Adhesive Formulation of Pressure-Sensitive Adhesive",slug:"evaluation-of-addition-of-reactive-resin-for-an-adhesive-formulation-of-pressure-sensitive-adhesive",abstract:"Nowadays, adhesive industry is growing, and its development will be important in a short future because it offers good returns, and in some cases it is a better option for packaging and sealing with advantages in prices, productivity and weight reduction. In terms of joining and/or sealing, adhesives are well positioned among joining systems; however, knowledge about adhesives is need for their efficient use and only through proper design of the union can be achieved satisfactory results. In this chapter, a development of a formulation of pressure-sensitive adhesive based on styrene-butadiene copolymers using a reactive resin is reported. Non-aromatic solvents were used in adhesive formulation with the aim of avoiding the emission of harmful solvents into the Atmosphere, and the adequate combination and amount of solvents were found. The effect of addition of a phenolic resin in the adhesive formulation as a crosslinking agent was evaluated. By means Fourier Transform Infrared spectroscopy (FTIR), the crosslinking reaction was also studied. The performance of adhesive formulation was evaluated by means of dynamic mechanical analysis (DMA).",signatures:"Tzeitel Hernández-Martínez, Beatriz Adriana Salazar Cruz, José Luis\nRivera-Armenta, María Yolanda Chávez-Cinco, María Leonor\nMéndez-Hernández and Ulises Paramo-García",authors:[{id:"107855",title:"Dr.",name:"Jose Luis",surname:"Rivera Armenta",fullName:"Jose Luis Rivera Armenta",slug:"jose-luis-rivera-armenta",email:"jlriveraarmenta@yahoo.com"},{id:"171043",title:"Dr.",name:"Beatriz Adriana",surname:"Salazar-Cruz",fullName:"Beatriz Adriana Salazar-Cruz",slug:"beatriz-adriana-salazar-cruz",email:"beatrizadriana1973@hotmail.es"},{id:"186466",title:"MSc.",name:"Tzeitel",surname:"Hernandez-Martinez",fullName:"Tzeitel Hernandez-Martinez",slug:"tzeitel-hernandez-martinez",email:"tzeitelh@gmail.com"},{id:"186467",title:"MSc.",name:"Maria Yolanda",surname:"Chavez-Cinco",fullName:"Maria Yolanda Chavez-Cinco",slug:"maria-yolanda-chavez-cinco",email:"yolcin5@yahoo.com.mx"},{id:"186468",title:"Dr.",name:"Maria Leonor",surname:"Mendez-Hernandez",fullName:"Maria Leonor Mendez-Hernandez",slug:"maria-leonor-mendez-hernandez",email:"draleonormendez@gmail.com"},{id:"186469",title:"Dr.",name:"Ulises",surname:"Paramo-Garcia",fullName:"Ulises Paramo-Garcia",slug:"ulises-paramo-garcia",email:"uparamo@itcm.edu.mx"}],book:{title:"Adhesives",slug:"adhesives-applications-and-properties",productType:{id:"1",title:"Edited Volume"}}},{title:"Conducting Polymers Films Deposited on Carbon Steel and Their Interaction with Crude Oil",slug:"conducting-polymers-films-deposited-on-carbon-steel-and-their-interaction-with-crude-oil",abstract:"The formation of scale/solids deposits inside the pipelines is a frequent problem in the petrochemical industry. These scales can be organic as the asphaltenes and inorganic as the accumulations of salts, which apart from blocking the inside of the pipes can also cause a change in the integrity of the steel. Therefore, it is necessary to avoid the conditions where deposition occurs, together with chemical and mechanical methods of remediation to mitigate the deposition. In this work we intend to use conductive polymers in order to inhibit the deposition of asphaltenes on carbon steel surfaces, by using polypyrrole (PPy) as material capable of conducting electrical current. The electrodeposition of PPy on carbon steel were performed by cyclic voltammetry (CV) and chronoamperometry (CA). The results showed that under certain experimental conditions it is possible to make a PPy film with adequate characteristics. Important factors were the grip and electrochemical stability of the formed film on steel, which depends on the electrosynthesis technique and in some cases favoured by a pre-treatment with a 10% HNO3 solution applied to the steel prior to electropolymerization. The PPy films deposited with pre-treatment completely covered the steel surface and showed better stability, adherence and generated a hydrophobic material.",signatures:"Oscar E. Vázquez‐Noriega, Javier Guzmán, Nohra V. Gallardo‐Rivas,\nReinaldo David Martínez Orozco, Ana M. Mendoza‐Martínez, María\nYolanda Chávez Cinco, Luciano Aguilera Vázquez and Ulises\nPáramo‐García",authors:[{id:"186467",title:"MSc.",name:"Maria Yolanda",surname:"Chavez-Cinco",fullName:"Maria Yolanda Chavez-Cinco",slug:"maria-yolanda-chavez-cinco",email:"yolcin5@yahoo.com.mx"},{id:"186469",title:"Dr.",name:"Ulises",surname:"Paramo-Garcia",fullName:"Ulises Paramo-Garcia",slug:"ulises-paramo-garcia",email:"uparamo@itcm.edu.mx"},{id:"175028",title:"Dr.",name:"Ana María",surname:"Mendoza-Martínez",fullName:"Ana María Mendoza-Martínez",slug:"ana-maria-mendoza-martinez",email:"mendoza.martinez.ana@gmail.com"},{id:"198863",title:"Dr.",name:"Nohra",surname:"Gallardo Rivas",fullName:"Nohra Gallardo Rivas",slug:"nohra-gallardo-rivas",email:"nohvigari@itcm.edu.mx"},{id:"198866",title:"MSc.",name:"Oscar E.",surname:"Vázquez-Noriega",fullName:"Oscar E. Vázquez-Noriega",slug:"oscar-e.-vazquez-noriega",email:"ose_vano@hotmail.com"},{id:"198868",title:"Dr.",name:"Javier",surname:"Guzmán-Pantoja",fullName:"Javier Guzmán-Pantoja",slug:"javier-guzman-pantoja",email:"jagupa@hotmail.com"},{id:"205433",title:"Dr.",name:"Reinaldo David",surname:"Martínez-Orozco",fullName:"Reinaldo David Martínez-Orozco",slug:"reinaldo-david-martinez-orozco",email:"rd.martinez.orozco@gmail.com"},{id:"205434",title:"Dr.",name:"Luciano",surname:"Aguilera-Vázquez",fullName:"Luciano Aguilera-Vázquez",slug:"luciano-aguilera-vazquez",email:"luciano.aguilera@gmail.com"}],book:{title:"Recent Insights in Petroleum Science and Engineering",slug:"recent-insights-in-petroleum-science-and-engineering",productType:{id:"1",title:"Edited Volume"}}},{title:"Characterization of Crude Oils and the Precipitated Asphaltenes Fraction using UV Spectroscopy, Dynamic Light Scattering and Microscopy",slug:"characterization-of-crude-oils-and-the-precipitated-asphaltenes-fraction-using-uv-spectroscopy-dynam",abstract:"Analysis of crude oil composition provides important information that impacts on the recovery, handling, and transportation of hydrocarbons. Crude characterization also provides data in the analysis of geochemistry of the source of origin. Crude oil characterization by optical methods is usually difficult because of its dark color; however, those characterizations are crucial because they give information that can affect some analysis procedures. Ultraviolet-visible (UV-vis) spectroscopy is a simple and practical technique that allows the characterization of crude oil through dilution in solvents. A comparative study of crude oil solutions contrasted with their asphaltene fractions was performed. Each solution was analyzed in triplicate, on a UV-vis spectrophotometer. Calibration curves for both raw solutions showed no significant variations, indicating stability. Additionally, the results of dispersion and migration phenomena indicated stability only for crude oil solutions. The aggregate size dispersion was different for each type of crude and varied with respect to time. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) showed the type of morphology present for each type of asphaltene.",signatures:"Ernestina Elizabeth Banda Cruz, Nohra Violeta Gallardo Rivas, Ulises\nPáramo García, Ana Maria Mendoza Martinez and José Aarón Melo\nBanda",authors:[{id:"186469",title:"Dr.",name:"Ulises",surname:"Paramo-Garcia",fullName:"Ulises Paramo-Garcia",slug:"ulises-paramo-garcia",email:"uparamo@itcm.edu.mx"},{id:"175028",title:"Dr.",name:"Ana María",surname:"Mendoza-Martínez",fullName:"Ana María Mendoza-Martínez",slug:"ana-maria-mendoza-martinez",email:"mendoza.martinez.ana@gmail.com"},{id:"198863",title:"Dr.",name:"Nohra",surname:"Gallardo Rivas",fullName:"Nohra Gallardo Rivas",slug:"nohra-gallardo-rivas",email:"nohvigari@itcm.edu.mx"},{id:"174756",title:"Dr.",name:"Ernestina Elizabeth",surname:"Banda Cruz",fullName:"Ernestina Elizabeth Banda Cruz",slug:"ernestina-elizabeth-banda-cruz",email:"tinabanda@hotmail.com"},{id:"198864",title:"Dr.",name:"José Aarón",surname:"Melo Banda",fullName:"José Aarón Melo Banda",slug:"jose-aaron-melo-banda",email:"melobanda@yahoo.com.mx"}],book:{title:"Recent Insights in Petroleum Science and Engineering",slug:"recent-insights-in-petroleum-science-and-engineering",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"107855",title:"Dr.",name:"Jose Luis",surname:"Rivera Armenta",slug:"jose-luis-rivera-armenta",fullName:"Jose Luis Rivera Armenta",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/107855/images/system/107855.png",biography:"José Luis Rivera-Armenta has a BSc in Chemical Engineering, an MSc in Petroleum Technology and Petrochemicals, and a Ph.D. in Chemical Engineering, all from the Technological Institute of Madero City (ITCM), Mexico. Since 2003, he has been a full-time professor in postgraduate programs at ITCM and head of the thermal analysis, injection, and extrusion laboratory. He has been responsible for several research projects sponsored by Consejo Nacional de Ciencia y Tecnología (CONACYT) and the National Technological Institute of Mexico (TecNM). He has advised ten Ph.D., seventeen master’s degrees, and five bachelor’s degree theses. He has published fifty-five scientific articles, six book chapters, and has edited two books and one special issue journal. Dr. Rivera-Armenta is also an active reviewer for several journals.",institutionString:"Instituto Tecnológico de Ciudad Madero",institution:{name:"Instituto Tecnológico de Ciudad Madero",institutionURL:null,country:{name:"Mexico"}}},{id:"171043",title:"Dr.",name:"Beatriz Adriana",surname:"Salazar-Cruz",slug:"beatriz-adriana-salazar-cruz",fullName:"Beatriz Adriana Salazar-Cruz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171043/images/system/171043.jpeg",biography:"Beatriz A. Salazar Cruz attained her Ph.D. in 2014, and has been an associate member of MATCO since 2016 and an associate professor of the Technological Institute of Madero City since 2012. From 1995 to 2008 she gained experience in the chemical process industry (Dynasol Elastomers) developing projects with SBS, SBR and SEBS polymers and characterizing and innovating the quality of products in a wide range of applications: asphalts, adhesives, and compounds. Dr. Salazar-Cruz is the author or coauthor of several scientific publications in English and Spanish, and author or coauthor of several book chapters. She has taught several rheology courses and has also collaborated in several projects supported by the National Technologic of Mexico and CONACYT. She has been an advisor for master degree thesis and has also supervised engineering students.",institutionString:"Technological Institute of Ciudad Madero",institution:null},{id:"186371",title:"Associate Prof.",name:"Imed",surname:"Gargouri",slug:"imed-gargouri",fullName:"Imed Gargouri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Sfax",institutionURL:null,country:{name:"Tunisia"}}},{id:"187258",title:"Prof.",name:"Jun",surname:"Zhong",slug:"jun-zhong",fullName:"Jun Zhong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/187258/images/5028_n.jpg",biography:"1. Associate Membership and Journal Referee, Institute Of Physics (IOP), United Kingdom (UK, 2009 -). \n\n2. Membership, American Chemical Society (ACS), U.S.A (2006 -).",institutionString:null,institution:{name:"North China Institute of Aerospace Engineering",institutionURL:null,country:{name:"China"}}},{id:"187630",title:"Ph.D.",name:"Roberto",surname:"Pinna",slug:"roberto-pinna",fullName:"Roberto Pinna",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Sassari",institutionURL:null,country:{name:"Italy"}}},{id:"188100",title:"Dr.",name:"Moncef",surname:"Khadhraoui",slug:"moncef-khadhraoui",fullName:"Moncef Khadhraoui",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"188101",title:"Prof.",name:"Boubaker",surname:"Elleuch",slug:"boubaker-elleuch",fullName:"Boubaker Elleuch",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194269",title:"Dr.",name:"Enrica",surname:"Filigheddu",slug:"enrica-filigheddu",fullName:"Enrica Filigheddu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194270",title:"Prof.",name:"Stefano",surname:"Eramo",slug:"stefano-eramo",fullName:"Stefano Eramo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194271",title:"Prof.",name:"Egle",surname:"Milia",slug:"egle-milia",fullName:"Egle Milia",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]},generic:{page:{slug:"partnerships",title:"Partnerships",intro:"
IntechOpen has always supported new and evolving ideas in scholarly publishing. We understand the community we serve, but to provide an even better service for our IntechOpen Authors and Academic Editors, we have partnered with leading companies and associations in the scientific field and beyond.
",metaTitle:"Partnerships",metaDescription:"IntechOpen was built by scientists, for scientists. We understand the community we serve, but to bring an even better service to the table for IntechOpen Authors and Academic Editors, we partnered with the leading companies and associations in the industry and beyond.",metaKeywords:null,canonicalURL:"/page/partnerships",contentRaw:'[{"type":"htmlEditorComponent","content":"
ALPSP
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The Association of Learned and Professional Society Publishers (ALPSP) is the largest association of scholarly and professional publishers in the world. Its mission is to connect, inform, develop and represent the international scholarly and professional publishing community. IntechOpen has been a member of ALPSP since 2016 and has consequently stayed informed about industry trends through connecting with peers and developing jointly.
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OASPA
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The Open Access Scholarly Publishers Association (OASPA) was established in 2008 to represent the interests of Open Access (OA) publishers globally in all scientific, technical and scholarly disciplines. Its mission is carried out through exchange of information, the setting of standards, advancing models, advocacy, education, and the promotion of innovation.
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STM
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The International Association of Scientific, Technical and Medical Publishers (STM) is the leading global trade association for academic and professional publishers. As a member, IntechOpen has not only made a commitment to STM's Ethical Principles.
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COPE
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The Committee on Publication Ethics (COPE) provides advice to editors and publishers on all aspects of publication ethics and, in particular, how to handle cases of misconduct in research and publication. IntechOpen has been a member of COPE since 2013 and adheres to the COPE Code of Conduct and Best Practice Guidelines, ensuring that we maintain the highest ethical standards.
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Creative Commons
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\\n\\t
Creative Commons (CC) is a nonprofit organization that enables the sharing and use of creativity and knowledge through free legal tools. IntechOpen uses the CC BY 3.0 license for chapters, meaning Authors retain copyright and their work can be reused and adapted as long as the source is properly cited and Authors are acknowledged.
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\\n\\n
Crossref
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\\n\\t
Crossref is the official Digital Object Identifier (DOI) Registration Agency for scholarly and professional publications with a goal of making scholarly communications more effective. IntechOpen deposits metadata and registers DOIs for all content using the Crossref System. IntechOpen also deposits its references and uses the Crossref Cited-by service that enables researchers to track citation statistics.
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Altmetric and Dimensions from Digital Science
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Digital Science is a technology company serving the needs of scientific and research communities at key points along the full cycle of research. They support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. IntechOpen integrates tools such as Altmetric to enable our researchers to track and measure the activity around their academic research and Dimensions, to ease access to the most relevant information and better understand and analyze the global research landscape.
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CLOCKSS
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CLOCKSS preserves scholarly publications in original formats, ensuring that they always remain available and openly accessible to everyone.
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Counter
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COUNTER provides the Code of Practice that enables publishers and vendors to report usage of their electronic resources in a consistent way. This enables libraries to compare data received from different publishers and vendors.
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DORA
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DORA is a worldwide initiative covering all scholarly disciplines which recognizes the need to improve the ways in which the outputs of scholarly research are evaluated and seeks to develop and promote best practice. To date it has been signed by over 1500 organizations and around 14,700 individuals.
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iThenticate
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iThenticate is the leading provider of professional plagiarism detection and prevention technology and is used worldwide by scholarly publishers and research institutions to ensure the originality of written work before publication. IntechOpen uses the iThenticate plagiarism software to ensure content originality and the research integrity of our published work.
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Enago
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IntechOpen collaborates with Enago, through its sister brand, Ulatus, one of the world’s leading providers of book translation services. Their services are designed to convey the essence of your work to readers from across the globe in the language they understand.
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IntechOpen Authors that wish to use this service will receive a 20% discount on all translation services. To find out more information or obtain a quote, please visit https://www.enago.com/intech
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SPi Global
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SPi Global is the market leader in technology-driven solutions for the extraction, enrichment and transformation of content assets. IntechOpen publishing services are designed to meet the unique needs of Authors. As part of our commitment to that objective, we have an ongoing partnership agreement for production solutions.
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Amazon
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Amazon is the world’s largest online retailer and cloud services provider. IntechOpen books have been available on Amazon since 2017, guaranteeing more visibility for our Authors and Academic Editors.
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DHL
\\n\\n
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IntechOpen has partnered with DHL since 2011 to ensure the fastest delivery of Print on Demand books.
The Association of Learned and Professional Society Publishers (ALPSP) is the largest association of scholarly and professional publishers in the world. Its mission is to connect, inform, develop and represent the international scholarly and professional publishing community. IntechOpen has been a member of ALPSP since 2016 and has consequently stayed informed about industry trends through connecting with peers and developing jointly.
\n
\n\n
OASPA
\n\n
\n\t
The Open Access Scholarly Publishers Association (OASPA) was established in 2008 to represent the interests of Open Access (OA) publishers globally in all scientific, technical and scholarly disciplines. Its mission is carried out through exchange of information, the setting of standards, advancing models, advocacy, education, and the promotion of innovation.
\n
\n\n
STM
\n\n
\n\t
The International Association of Scientific, Technical and Medical Publishers (STM) is the leading global trade association for academic and professional publishers. As a member, IntechOpen has not only made a commitment to STM's Ethical Principles.
\n
\n\n
COPE
\n\n
\n\t
The Committee on Publication Ethics (COPE) provides advice to editors and publishers on all aspects of publication ethics and, in particular, how to handle cases of misconduct in research and publication. IntechOpen has been a member of COPE since 2013 and adheres to the COPE Code of Conduct and Best Practice Guidelines, ensuring that we maintain the highest ethical standards.
\n
\n\n
Creative Commons
\n\n
\n\t
Creative Commons (CC) is a nonprofit organization that enables the sharing and use of creativity and knowledge through free legal tools. IntechOpen uses the CC BY 3.0 license for chapters, meaning Authors retain copyright and their work can be reused and adapted as long as the source is properly cited and Authors are acknowledged.
\n
\n\n
Crossref
\n\n
\n\t
Crossref is the official Digital Object Identifier (DOI) Registration Agency for scholarly and professional publications with a goal of making scholarly communications more effective. IntechOpen deposits metadata and registers DOIs for all content using the Crossref System. IntechOpen also deposits its references and uses the Crossref Cited-by service that enables researchers to track citation statistics.
\n
\n\n
Altmetric and Dimensions from Digital Science
\n\n
\n\t
Digital Science is a technology company serving the needs of scientific and research communities at key points along the full cycle of research. They support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. IntechOpen integrates tools such as Altmetric to enable our researchers to track and measure the activity around their academic research and Dimensions, to ease access to the most relevant information and better understand and analyze the global research landscape.
\n
\n\n
CLOCKSS
\n\n
\n\t
CLOCKSS preserves scholarly publications in original formats, ensuring that they always remain available and openly accessible to everyone.
\n
\n\n
Counter
\n\n
\n\t
COUNTER provides the Code of Practice that enables publishers and vendors to report usage of their electronic resources in a consistent way. This enables libraries to compare data received from different publishers and vendors.
\n
\n\n
DORA
\n\n
\n\t
DORA is a worldwide initiative covering all scholarly disciplines which recognizes the need to improve the ways in which the outputs of scholarly research are evaluated and seeks to develop and promote best practice. To date it has been signed by over 1500 organizations and around 14,700 individuals.
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iThenticate
\n\n
\n\t
iThenticate is the leading provider of professional plagiarism detection and prevention technology and is used worldwide by scholarly publishers and research institutions to ensure the originality of written work before publication. IntechOpen uses the iThenticate plagiarism software to ensure content originality and the research integrity of our published work.
\n
\n\n
Enago
\n\n
\n\t
IntechOpen collaborates with Enago, through its sister brand, Ulatus, one of the world’s leading providers of book translation services. Their services are designed to convey the essence of your work to readers from across the globe in the language they understand.
\n\t
IntechOpen Authors that wish to use this service will receive a 20% discount on all translation services. To find out more information or obtain a quote, please visit https://www.enago.com/intech
\n
\n\n
SPi Global
\n\n
\n\t
SPi Global is the market leader in technology-driven solutions for the extraction, enrichment and transformation of content assets. IntechOpen publishing services are designed to meet the unique needs of Authors. As part of our commitment to that objective, we have an ongoing partnership agreement for production solutions.
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\n\n
Amazon
\n\n
\n\t
Amazon is the world’s largest online retailer and cloud services provider. IntechOpen books have been available on Amazon since 2017, guaranteeing more visibility for our Authors and Academic Editors.
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\n\n
DHL
\n\n
\n\t
IntechOpen has partnered with DHL since 2011 to ensure the fastest delivery of Print on Demand books.
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\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{sort:"featured,name"},profiles:[{id:"6700",title:"Dr.",name:"Abbass A.",middleName:null,surname:"Hashim",slug:"abbass-a.-hashim",fullName:"Abbass A. Hashim",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/6700/images/1864_n.jpg",biography:"Currently I am carrying out research in several areas of interest, mainly covering work on chemical and bio-sensors, semiconductor thin film device fabrication and characterisation.\nAt the moment I have very strong interest in radiation environmental pollution and bacteriology treatment. The teams of researchers are working very hard to bring novel results in this field. I am also a member of the team in charge for the supervision of Ph.D. students in the fields of development of silicon based planar waveguide sensor devices, study of inelastic electron tunnelling in planar tunnelling nanostructures for sensing applications and development of organotellurium(IV) compounds for semiconductor applications. I am a specialist in data analysis techniques and nanosurface structure. I have served as the editor for many books, been a member of the editorial board in science journals, have published many papers and hold many patents.",institutionString:null,institution:{name:"Sheffield Hallam University",country:{name:"United Kingdom"}}},{id:"54525",title:"Prof.",name:"Abdul Latif",middleName:null,surname:"Ahmad",slug:"abdul-latif-ahmad",fullName:"Abdul Latif Ahmad",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"20567",title:"Prof.",name:"Ado",middleName:null,surname:"Jorio",slug:"ado-jorio",fullName:"Ado Jorio",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universidade Federal de Minas Gerais",country:{name:"Brazil"}}},{id:"47940",title:"Dr.",name:"Alberto",middleName:null,surname:"Mantovani",slug:"alberto-mantovani",fullName:"Alberto Mantovani",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"12392",title:"Mr.",name:"Alex",middleName:null,surname:"Lazinica",slug:"alex-lazinica",fullName:"Alex Lazinica",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/12392/images/7282_n.png",biography:"Alex Lazinica is the founder and CEO of IntechOpen. After obtaining a Master's degree in Mechanical Engineering, he continued his PhD studies in Robotics at the Vienna University of Technology. Here he worked as a robotic researcher with the university's Intelligent Manufacturing Systems Group as well as a guest researcher at various European universities, including the Swiss Federal Institute of Technology Lausanne (EPFL). During this time he published more than 20 scientific papers, gave presentations, served as a reviewer for major robotic journals and conferences and most importantly he co-founded and built the International Journal of Advanced Robotic Systems- world's first Open Access journal in the field of robotics. Starting this journal was a pivotal point in his career, since it was a pathway to founding IntechOpen - Open Access publisher focused on addressing academic researchers needs. Alex is a personification of IntechOpen key values being trusted, open and entrepreneurial. Today his focus is on defining the growth and development strategy for the company.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"19816",title:"Prof.",name:"Alexander",middleName:null,surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/19816/images/1607_n.jpg",biography:"Alexander I. Kokorin: born: 1947, Moscow; DSc., PhD; Principal Research Fellow (Research Professor) of Department of Kinetics and Catalysis, N. Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow.\r\nArea of research interests: physical chemistry of complex-organized molecular and nanosized systems, including polymer-metal complexes; the surface of doped oxide semiconductors. 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