The Experts below are selected from a list of 24777 Experts worldwide ranked by ideXlab platform
Eric Loth - One of the best experts on this subject based on the ideXlab platform.
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isothermal compressed wind energy storage using abandoned oil gas wells or coal mines
Applied Energy, 2021Co-Authors: Chao Qin, Eric LothAbstract:Abstract Wind energy has rapidly increased and is expected to continue to do so over the next few decades. This will exacerbate the issue whereby its intermittent energy production does not generally coincide with energy demand. This can be addressed by integrating cost-effective energy storage with wind farms. The present study develops a concept that leverages the capacity of underground reservoirs of abandoned oil or gas wells to avoid the costs of expensive storage vessels and employs isothermal processes for the compressed air energy storage to improve round-trip efficiency. By levelizing the production using compressed air energy storage, the electrical Generator Size (and associated) cost may be reduced while maintaining the same average power production. These Generator cost savings are projected to offset the cost of the storage system, so increased dispachtability is obtained with little to no added cost. This allows the predicted Cost of Valued Energy to be lowered by more than 10% for a typical wind farm, used as a case study. In addition, the simulated dispatchability ratio can reach 86.7%, which is far better than the 55.7% of a wind farm without storage. Importantly, the siting of wind farms near abandoned wells and mines also has the potential for significant new infrastructure investment and jobs in areas that might be economically-depressed. However, experimental verification with a pilot facility combined with ramifications of operational costs and geological factors are needed to demonstrate and quantify the benefits of this concept.
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Hydraulic-electric hybrid wind turbines: Tower mass saving and energy storage capacity
Renewable Energy, 2016Co-Authors: Chao Qin, Elijah Innes-wimsatt, Eric LothAbstract:This study investigates concept of introduction of a hydraulic motor in the nacelle to convert rotor shaft work into hydraulic power that is transmitted to the electric Generator at ground/sea level. This combination of hydraulic and electric power generation can help simplify or even eliminate the gearbox, and significantly reduce the head weight mass that the tower needs to support. Also, this hybrid concept allows energy storage in the tower which can reduce electric Generator Size. The analytical technique for tower mass savings employed herein was validated and used to show that 33%–50% of the tower mass may be saved through decreased tower thickness. In addition, the hydraulic-electric Generator concept is compatible with employing isothermal CAES in the tower. Analysis based on cross-over pressure for the design limit indicates that this energy storage concept provides more than 24 h of energy storage if one considers S-glass towers of 10 MW or more. To accompany the above engineering analysis, a CAPEX cost model was developed based on recent production wind turbines and system designs. The hydraulic-electric hybrid system with CAES was estimated to yield a total CAPEX savings of 17% due to a substantial decrease in Generator and electrical infrastructure costs.
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economic benefits of hydraulic electric hybrid wind turbines
International Journal of Environmental Studies, 2014Co-Authors: Elijah Inneswimsatt, Chao Qin, Eric LothAbstract:As wind turbines increase to multi-megawatt power ratings and move offshore, the costs associated with maintenance, support structure and infrastructure will escalate. The proposed hydraulic-electric hybrid turbine design with compressed air energy storage (CAES) can meet these concerns. This study considers the cost implications of this design, both with and without CAES. The model uses the National Renewable Energy Laboratory 5 MW offshore reference turbine as a baseline and is validated with existing correlations and industry data. The results show that a hybrid system without CAES eliminates the gearbox and reduces tower mass by 36%, leading to capital expenditure (CAPEX) reduction of 6%. Adding CAES substantially reduces Generator Size by 65% and electrical infrastructure by 55%, yielding a total CAPEX reduction of 17%, but also reducing total energy output by about 10%. Additional cost reductions are expected but need to be quantified with a full lifecycle cost assessment.
Chao Qin - One of the best experts on this subject based on the ideXlab platform.
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isothermal compressed wind energy storage using abandoned oil gas wells or coal mines
Applied Energy, 2021Co-Authors: Chao Qin, Eric LothAbstract:Abstract Wind energy has rapidly increased and is expected to continue to do so over the next few decades. This will exacerbate the issue whereby its intermittent energy production does not generally coincide with energy demand. This can be addressed by integrating cost-effective energy storage with wind farms. The present study develops a concept that leverages the capacity of underground reservoirs of abandoned oil or gas wells to avoid the costs of expensive storage vessels and employs isothermal processes for the compressed air energy storage to improve round-trip efficiency. By levelizing the production using compressed air energy storage, the electrical Generator Size (and associated) cost may be reduced while maintaining the same average power production. These Generator cost savings are projected to offset the cost of the storage system, so increased dispachtability is obtained with little to no added cost. This allows the predicted Cost of Valued Energy to be lowered by more than 10% for a typical wind farm, used as a case study. In addition, the simulated dispatchability ratio can reach 86.7%, which is far better than the 55.7% of a wind farm without storage. Importantly, the siting of wind farms near abandoned wells and mines also has the potential for significant new infrastructure investment and jobs in areas that might be economically-depressed. However, experimental verification with a pilot facility combined with ramifications of operational costs and geological factors are needed to demonstrate and quantify the benefits of this concept.
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Hydraulic-electric hybrid wind turbines: Tower mass saving and energy storage capacity
Renewable Energy, 2016Co-Authors: Chao Qin, Elijah Innes-wimsatt, Eric LothAbstract:This study investigates concept of introduction of a hydraulic motor in the nacelle to convert rotor shaft work into hydraulic power that is transmitted to the electric Generator at ground/sea level. This combination of hydraulic and electric power generation can help simplify or even eliminate the gearbox, and significantly reduce the head weight mass that the tower needs to support. Also, this hybrid concept allows energy storage in the tower which can reduce electric Generator Size. The analytical technique for tower mass savings employed herein was validated and used to show that 33%–50% of the tower mass may be saved through decreased tower thickness. In addition, the hydraulic-electric Generator concept is compatible with employing isothermal CAES in the tower. Analysis based on cross-over pressure for the design limit indicates that this energy storage concept provides more than 24 h of energy storage if one considers S-glass towers of 10 MW or more. To accompany the above engineering analysis, a CAPEX cost model was developed based on recent production wind turbines and system designs. The hydraulic-electric hybrid system with CAES was estimated to yield a total CAPEX savings of 17% due to a substantial decrease in Generator and electrical infrastructure costs.
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economic benefits of hydraulic electric hybrid wind turbines
International Journal of Environmental Studies, 2014Co-Authors: Elijah Inneswimsatt, Chao Qin, Eric LothAbstract:As wind turbines increase to multi-megawatt power ratings and move offshore, the costs associated with maintenance, support structure and infrastructure will escalate. The proposed hydraulic-electric hybrid turbine design with compressed air energy storage (CAES) can meet these concerns. This study considers the cost implications of this design, both with and without CAES. The model uses the National Renewable Energy Laboratory 5 MW offshore reference turbine as a baseline and is validated with existing correlations and industry data. The results show that a hybrid system without CAES eliminates the gearbox and reduces tower mass by 36%, leading to capital expenditure (CAPEX) reduction of 6%. Adding CAES substantially reduces Generator Size by 65% and electrical infrastructure by 55%, yielding a total CAPEX reduction of 17%, but also reducing total energy output by about 10%. Additional cost reductions are expected but need to be quantified with a full lifecycle cost assessment.
Agnimitra Biswas - One of the best experts on this subject based on the ideXlab platform.
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techno economic optimization of an off grid hybrid renewable energy system using metaheuristic optimization approaches case of a radio transmitter station in india
Energy Conversion and Management, 2019Co-Authors: Monotosh Das, Maisanam Anil Singh, Agnimitra BiswasAbstract:Abstract Development of hybrid renewable energy system has become a challenging task considering the intermittencies of renewables and multi-dimensional designing aspects (for example technical and economic aspects) of such hybrid systems. Although there are many investigations on the development of hybrid renewable energy systems, the investigations of useful models or effective methods are only a few. Metaheuristic algorithms are gaining much popularity in the optimization of complex systems like hybrid renewable energy system for their ability to give quick, accurate, and optimal solution. The objective of the present study is to obtain a techno-economic optimal design of an off-grid hybrid solar photovoltaic/biogas Generator/pumped hydro energy storage/battery system with the help of metaheuristic optimization techniques for a radio transmitter station in India. Performances of two such techniques – water cycle algorithm and moth-flame optimization that have become popular in recent time are evaluated and compared with Genetic Algorithm, which was used as a benchmark metaheuristic in previous studies on hybrid renewable energy system. The objective function is a minimization of total net present cost subject to design constraints. A detailed modeling strategy has been elaborated for the optimization problem. A sensitivity analysis based on loss of load probability type reliability criteria is carried out to investigate the feasibility of the proposed design. The results show that both the considered metaheuristics are effective in finding the optimal design; however, water cycle algorithm has marginally better design solution than the other two algorithms. The optimal configuration by the water cycle algorithm is found to have solar photovoltaic panel area of 548.67 m2 (Size 69.2 kW), biogas Generator Size of 16 kW, battery bank of 21 units, converter Size of 30 kW, and upper reservoir volume of 2081.5 m3 with a total net present cost of $0.813 million. Further, on comparing the results with literature, it is found that the present metaheuristic optimization has resulted in an effective hybrid renewable energy system design with a lower techno-economic cost.
Elijah Innes-wimsatt - One of the best experts on this subject based on the ideXlab platform.
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Hydraulic-electric hybrid wind turbines: Tower mass saving and energy storage capacity
Renewable Energy, 2016Co-Authors: Chao Qin, Elijah Innes-wimsatt, Eric LothAbstract:This study investigates concept of introduction of a hydraulic motor in the nacelle to convert rotor shaft work into hydraulic power that is transmitted to the electric Generator at ground/sea level. This combination of hydraulic and electric power generation can help simplify or even eliminate the gearbox, and significantly reduce the head weight mass that the tower needs to support. Also, this hybrid concept allows energy storage in the tower which can reduce electric Generator Size. The analytical technique for tower mass savings employed herein was validated and used to show that 33%–50% of the tower mass may be saved through decreased tower thickness. In addition, the hydraulic-electric Generator concept is compatible with employing isothermal CAES in the tower. Analysis based on cross-over pressure for the design limit indicates that this energy storage concept provides more than 24 h of energy storage if one considers S-glass towers of 10 MW or more. To accompany the above engineering analysis, a CAPEX cost model was developed based on recent production wind turbines and system designs. The hydraulic-electric hybrid system with CAES was estimated to yield a total CAPEX savings of 17% due to a substantial decrease in Generator and electrical infrastructure costs.
Monotosh Das - One of the best experts on this subject based on the ideXlab platform.
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techno economic optimization of an off grid hybrid renewable energy system using metaheuristic optimization approaches case of a radio transmitter station in india
Energy Conversion and Management, 2019Co-Authors: Monotosh Das, Maisanam Anil Singh, Agnimitra BiswasAbstract:Abstract Development of hybrid renewable energy system has become a challenging task considering the intermittencies of renewables and multi-dimensional designing aspects (for example technical and economic aspects) of such hybrid systems. Although there are many investigations on the development of hybrid renewable energy systems, the investigations of useful models or effective methods are only a few. Metaheuristic algorithms are gaining much popularity in the optimization of complex systems like hybrid renewable energy system for their ability to give quick, accurate, and optimal solution. The objective of the present study is to obtain a techno-economic optimal design of an off-grid hybrid solar photovoltaic/biogas Generator/pumped hydro energy storage/battery system with the help of metaheuristic optimization techniques for a radio transmitter station in India. Performances of two such techniques – water cycle algorithm and moth-flame optimization that have become popular in recent time are evaluated and compared with Genetic Algorithm, which was used as a benchmark metaheuristic in previous studies on hybrid renewable energy system. The objective function is a minimization of total net present cost subject to design constraints. A detailed modeling strategy has been elaborated for the optimization problem. A sensitivity analysis based on loss of load probability type reliability criteria is carried out to investigate the feasibility of the proposed design. The results show that both the considered metaheuristics are effective in finding the optimal design; however, water cycle algorithm has marginally better design solution than the other two algorithms. The optimal configuration by the water cycle algorithm is found to have solar photovoltaic panel area of 548.67 m2 (Size 69.2 kW), biogas Generator Size of 16 kW, battery bank of 21 units, converter Size of 30 kW, and upper reservoir volume of 2081.5 m3 with a total net present cost of $0.813 million. Further, on comparing the results with literature, it is found that the present metaheuristic optimization has resulted in an effective hybrid renewable energy system design with a lower techno-economic cost.