The Experts below are selected from a list of 52179 Experts worldwide ranked by ideXlab platform
Bin Chen - One of the best experts on this subject based on the ideXlab platform.
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energy water nexus of Wind Power Generation systems
Applied Energy, 2016Co-Authors: Jin Yang, Bin ChenAbstract:Energy and water are two interwoven elements of Power Generation systems. Because Wind Power is regarded as a promising renewable energy, how to increase its production and reduce energy and water costs has attracted many attentions. However, there is a lack of comprehension of the energy–water nexus in Wind Power Generation systems. In this study, we developed a new energy–water nexus analysis framework for Wind Power Generation systems, which includes both element and pathway nexus analyses. In element nexus analysis, energy used for water extraction and wastewater treatment and water consumed for electricity Generation were investigated. The mutual interactions and control situations within the Wind Power Generation system were also examined in pathway nexus analysis based on Network Environ Analysis (NEA). Taking a typical Wind Power Generation system in China as the case, the element nexus analysis results show that water consumptions per unit of Wind Power Generation are much lower than those of the other Power Generation systems. Energy consumption of the water system in the Wind Power Generation system is 3.395×107MJ, of which water extraction process constitutes 90.22%. In pathway nexus analysis, network utility analysis and network control analysis are performed to investigate the dominant sectors and pathways for energy–water circulation and the mutual relationships between pairwise components of the Wind Power Generation system. The results of network utility analysis show that compartment of surface water and groundwater (WA) is beneficiary from waste treatment (WT), which implies that although extra energy is devoted to WT, the benefit of water recycling is larger than energy cost. The results of network control analysis indicate that on-grid Power (PG) not only depends on direct Wind resource input (WI) (with a dependence coefficient of 0.20), but also indirectly supported by major compartments of fossil fuel input (FU) (0.16), construction material input (CO) (0.14), and Wind turbines manufactory (MA) (0.12). Compartments of WA and MA have large dependences on WT. Therefore, increasing wastewater and material treatment and recycling in the Wind Power Generation system could reduce water and energy demand from the external environmental. Dissipation (DIS) mainly relies on FU (0.19), Wind Power Generation (WP) (0.16) and CO (0.2), which should be the focus of dissipation reduction. The presented energy–water nexus analysis may shed light on synergistic management of Wind Power Generation systems.
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Energy–water nexus of Wind Power Generation systems
Applied Energy, 2016Co-Authors: Jin Yang, Bin ChenAbstract:Energy and water are two interwoven elements of Power Generation systems. Because Wind Power is regarded as a promising renewable energy, how to increase its production and reduce energy and water costs has attracted many attentions. However, there is a lack of comprehension of the energy–water nexus in Wind Power Generation systems. In this study, we developed a new energy–water nexus analysis framework for Wind Power Generation systems, which includes both element and pathway nexus analyses. In element nexus analysis, energy used for water extraction and wastewater treatment and water consumed for electricity Generation were investigated. The mutual interactions and control situations within the Wind Power Generation system were also examined in pathway nexus analysis based on Network Environ Analysis (NEA). Taking a typical Wind Power Generation system in China as the case, the element nexus analysis results show that water consumptions per unit of Wind Power Generation are much lower than those of the other Power Generation systems. Energy consumption of the water system in the Wind Power Generation system is 3.395×107MJ, of which water extraction process constitutes 90.22%. In pathway nexus analysis, network utility analysis and network control analysis are performed to investigate the dominant sectors and pathways for energy–water circulation and the mutual relationships between pairwise components of the Wind Power Generation system. The results of network utility analysis show that compartment of surface water and groundwater (WA) is beneficiary from waste treatment (WT), which implies that although extra energy is devoted to WT, the benefit of water recycling is larger than energy cost. The results of network control analysis indicate that on-grid Power (PG) not only depends on direct Wind resource input (WI) (with a dependence coefficient of 0.20), but also indirectly supported by major compartments of fossil fuel input (FU) (0.16), construction material input (CO) (0.14), and Wind turbines manufactory (MA) (0.12). Compartments of WA and MA have large dependences on WT. Therefore, increasing wastewater and material treatment and recycling in the Wind Power Generation system could reduce water and energy demand from the external environmental. Dissipation (DIS) mainly relies on FU (0.19), Wind Power Generation (WP) (0.16) and CO (0.2), which should be the focus of dissipation reduction. The presented energy–water nexus analysis may shed light on synergistic management of Wind Power Generation systems.
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Handbook of Clean Energy Systems - Life Cycle Assessment of Wind Power Generation System
Handbook of Clean Energy Systems, 2015Co-Authors: Jin Yang, Bin ChenAbstract:Wind Power is experiencing an unprecedented development in China. It is regarded a clean energy alternative as no emissions are generated in electricity production process. However, the material-intensive production of Wind turbines is associated with environmental releases. Therefore, assessing the environmental impacts of Wind Power Generation systems involves not only Power production process but also all related processes. Life cycle assessment (LCA) considering all environmental emissions in the whole lifetime of the Wind Power Generation system is proven a Powerful tool to estimate the real environmental costs of Wind Power and can provide information for companies, local resident, and government officials about the environmental implications of Wind Power Generation technology. A case of typical Wind Power Generation system was shown to demonstrate the procedures of LCA. However, LCA in Wind Power Generation systems in the current stage still has some issues to be solved, represented as time-varying factors, vague definition of system boundary and standardization, and so on. In addition to improving life cycle analysis to make the assessment more precise and feasible, the scope of Wind Power Generation should be extended to life cycle sustainability evaluation so as to give an overview of the Wind Power Generation system and shed lights on development pathway design. Keywords: Wind Power Generation system; life cycle assessment; dynamic life cycle analysis; GHG emission; energy payback time
Jin Yang - One of the best experts on this subject based on the ideXlab platform.
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energy water nexus of Wind Power Generation systems
Applied Energy, 2016Co-Authors: Jin Yang, Bin ChenAbstract:Energy and water are two interwoven elements of Power Generation systems. Because Wind Power is regarded as a promising renewable energy, how to increase its production and reduce energy and water costs has attracted many attentions. However, there is a lack of comprehension of the energy–water nexus in Wind Power Generation systems. In this study, we developed a new energy–water nexus analysis framework for Wind Power Generation systems, which includes both element and pathway nexus analyses. In element nexus analysis, energy used for water extraction and wastewater treatment and water consumed for electricity Generation were investigated. The mutual interactions and control situations within the Wind Power Generation system were also examined in pathway nexus analysis based on Network Environ Analysis (NEA). Taking a typical Wind Power Generation system in China as the case, the element nexus analysis results show that water consumptions per unit of Wind Power Generation are much lower than those of the other Power Generation systems. Energy consumption of the water system in the Wind Power Generation system is 3.395×107MJ, of which water extraction process constitutes 90.22%. In pathway nexus analysis, network utility analysis and network control analysis are performed to investigate the dominant sectors and pathways for energy–water circulation and the mutual relationships between pairwise components of the Wind Power Generation system. The results of network utility analysis show that compartment of surface water and groundwater (WA) is beneficiary from waste treatment (WT), which implies that although extra energy is devoted to WT, the benefit of water recycling is larger than energy cost. The results of network control analysis indicate that on-grid Power (PG) not only depends on direct Wind resource input (WI) (with a dependence coefficient of 0.20), but also indirectly supported by major compartments of fossil fuel input (FU) (0.16), construction material input (CO) (0.14), and Wind turbines manufactory (MA) (0.12). Compartments of WA and MA have large dependences on WT. Therefore, increasing wastewater and material treatment and recycling in the Wind Power Generation system could reduce water and energy demand from the external environmental. Dissipation (DIS) mainly relies on FU (0.19), Wind Power Generation (WP) (0.16) and CO (0.2), which should be the focus of dissipation reduction. The presented energy–water nexus analysis may shed light on synergistic management of Wind Power Generation systems.
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Energy–water nexus of Wind Power Generation systems
Applied Energy, 2016Co-Authors: Jin Yang, Bin ChenAbstract:Energy and water are two interwoven elements of Power Generation systems. Because Wind Power is regarded as a promising renewable energy, how to increase its production and reduce energy and water costs has attracted many attentions. However, there is a lack of comprehension of the energy–water nexus in Wind Power Generation systems. In this study, we developed a new energy–water nexus analysis framework for Wind Power Generation systems, which includes both element and pathway nexus analyses. In element nexus analysis, energy used for water extraction and wastewater treatment and water consumed for electricity Generation were investigated. The mutual interactions and control situations within the Wind Power Generation system were also examined in pathway nexus analysis based on Network Environ Analysis (NEA). Taking a typical Wind Power Generation system in China as the case, the element nexus analysis results show that water consumptions per unit of Wind Power Generation are much lower than those of the other Power Generation systems. Energy consumption of the water system in the Wind Power Generation system is 3.395×107MJ, of which water extraction process constitutes 90.22%. In pathway nexus analysis, network utility analysis and network control analysis are performed to investigate the dominant sectors and pathways for energy–water circulation and the mutual relationships between pairwise components of the Wind Power Generation system. The results of network utility analysis show that compartment of surface water and groundwater (WA) is beneficiary from waste treatment (WT), which implies that although extra energy is devoted to WT, the benefit of water recycling is larger than energy cost. The results of network control analysis indicate that on-grid Power (PG) not only depends on direct Wind resource input (WI) (with a dependence coefficient of 0.20), but also indirectly supported by major compartments of fossil fuel input (FU) (0.16), construction material input (CO) (0.14), and Wind turbines manufactory (MA) (0.12). Compartments of WA and MA have large dependences on WT. Therefore, increasing wastewater and material treatment and recycling in the Wind Power Generation system could reduce water and energy demand from the external environmental. Dissipation (DIS) mainly relies on FU (0.19), Wind Power Generation (WP) (0.16) and CO (0.2), which should be the focus of dissipation reduction. The presented energy–water nexus analysis may shed light on synergistic management of Wind Power Generation systems.
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Handbook of Clean Energy Systems - Life Cycle Assessment of Wind Power Generation System
Handbook of Clean Energy Systems, 2015Co-Authors: Jin Yang, Bin ChenAbstract:Wind Power is experiencing an unprecedented development in China. It is regarded a clean energy alternative as no emissions are generated in electricity production process. However, the material-intensive production of Wind turbines is associated with environmental releases. Therefore, assessing the environmental impacts of Wind Power Generation systems involves not only Power production process but also all related processes. Life cycle assessment (LCA) considering all environmental emissions in the whole lifetime of the Wind Power Generation system is proven a Powerful tool to estimate the real environmental costs of Wind Power and can provide information for companies, local resident, and government officials about the environmental implications of Wind Power Generation technology. A case of typical Wind Power Generation system was shown to demonstrate the procedures of LCA. However, LCA in Wind Power Generation systems in the current stage still has some issues to be solved, represented as time-varying factors, vague definition of system boundary and standardization, and so on. In addition to improving life cycle analysis to make the assessment more precise and feasible, the scope of Wind Power Generation should be extended to life cycle sustainability evaluation so as to give an overview of the Wind Power Generation system and shed lights on development pathway design. Keywords: Wind Power Generation system; life cycle assessment; dynamic life cycle analysis; GHG emission; energy payback time
Xu Jiao - One of the best experts on this subject based on the ideXlab platform.
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Study on Wind Power Generation Models and Connection Systems
Southern Power System Technology, 2008Co-Authors: Xu JiaoAbstract:A rising Power Generation technology--Wind Power Generation is introduced to traditional Power substation. Starting from the detailed model of Wind Power Generation, the Wind Power penetration limit is calculated by simulation, the dynamic behavior of Wind Power Generation and its impact upon distributed Power network are analyzed. The feasibility of the Power substation is verified and the direction of further research is prospected.
Zhe Chen - One of the best experts on this subject based on the ideXlab platform.
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arima based time series model of stochastic Wind Power Generation
IEEE Transactions on Power Systems, 2010Co-Authors: Peiyuan Chen, Troels Pedersen, Birgitte Bakjensen, Zhe ChenAbstract:This paper proposes a stochastic Wind Power model based on an autoregressive integrated moving average (ARIMA) process. The model takes into account the nonstationarity and physical limits of stochastic Wind Power Generation. The model is constructed based on Wind Power measurement of one year from the Nysted offshore Wind farm in Denmark. The proposed limited-ARIMA (LARIMA) model introduces a limiter and characterizes the stochastic Wind Power Generation by mean level, temporal correlation and driving noise. The model is validated against the measurement in terms of temporal correlation and probability distribution. The LARIMA model outperforms a first-order transition matrix based discrete Markov model in terms of temporal correlation, probability distribution and model parameter number. The proposed LARIMA model is further extended to include the monthly variation of the stochastic Wind Power Generation.
Zuyi Li - One of the best experts on this subject based on the ideXlab platform.
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security constrained unit commitment with volatile Wind Power Generation
IEEE Transactions on Power Systems, 2008Co-Authors: Jianhui Wang, Mohammad Shahidehpour, Zuyi LiAbstract:This paper presents a security-constrained unit commitment (SCUC) algorithm which takes into account the intermittency and volatility of Wind Power Generation. The UC problem is solved in the master problem with the forecasted intermittent Wind Power Generation. Next, possible scenarios are simulated for representing the Wind Power volatility. The initial dispatch is checked in the subproblem and Generation redispatch is considered for satisfying the hourly volatility of Wind Power in simulated scenarios. If the redispatch fails to mitigate violations, Benders cuts are created and added to the master problem to revise the commitment solution. The iterative process between the commitment problem and the feasibility check subproblem will continue until simulated Wind Power scenarios can be accommodated by redispatch. Numerical simulations indicate the effectiveness of the proposed SCUC algorithm for managing the security of Power system operation by taking into account the intermittency and volatility of Wind Power Generation.
