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Proceedings Papers

Distributed Energy Systems Design Optimization Based on Life Cycle Environmental and Economic Impacts

Krisha Maharjan, Jian Zhang, Heejin Cho, Yang Chen
Proc. ASME. ES2022, ASME 2022 16th International Conference on Energy Sustainability, V001T01A006, July 11–13, 2022
Paper No: ES2022-85730
DOI: https://doi.org/10.1115/ES2022-85730
View Paper titled, Distributed Energy Systems Design Optimization Based on Life Cycle Environmental and Economic Impacts
Click here to open pdf in another window PDF for Distributed Energy Systems Design Optimization Based on Life Cycle Environmental and Economic Impacts
Topics: Carbon dioxide, Cycles, Design, Distributed power generation, Economics , Emissions, Optimization, Pareto optimization
Proceedings Papers

Multi-Objective Optimization of a Bi-Metal High Temperature Recuperator for Application in Concentrating Solar Power

Jacob A. Bryan, Aiden S. Meek, Hailei Wang
Proc. ASME. ES2022, ASME 2022 16th International Conference on Energy Sustainability, V001T05A003, July 11–13, 2022
Paper No: ES2022-81388
DOI: https://doi.org/10.1115/ES2022-81388
View Paper titled, Multi-Objective Optimization of a Bi-Metal High Temperature Recuperator for Application in Concentrating Solar Power
Click here to open pdf in another window PDF for Multi-Objective Optimization of a Bi-Metal High Temperature Recuperator for Application in Concentrating Solar Power
Topics: Concentrating solar power, High temperature, Metals, Pareto optimization, Heat exchangers, Design, Heat transfer, Cycles, Fluids, Low temperature
Proceedings Papers

Sustainability Improvement of Membrane Separation Process for Post-Combustion CO 2 Capturing Using Multi-Objective Optimization

Javad Asadi, Pejman Kazempoor
Proc. ASME. ES2022, ASME 2022 16th International Conference on Energy Sustainability, V001T01A002, July 11–13, 2022
Paper No: ES2022-81636
DOI: https://doi.org/10.1115/ES2022-81636
View Paper titled, Sustainability Improvement of Membrane Separation Process for Post-Combustion CO 2 Capturing Using Multi-Objective Optimization
Click here to open pdf in another window PDF for Sustainability Improvement of Membrane Separation Process for Post-Combustion CO 2 Capturing Using Multi-Objective Optimization
Topics: Carbon capture and storage, Carbon dioxide, Combustion, Design, Membranes, Optimization, Pareto optimization, Separation (Technology), Sustainability
Proceedings Papers

Thermal-Economic Optimization of Moving Packed Bed Particle-to-SCO 2 Heat Exchanger Using Particle Swarm Optimization

Yanjie Zheng, Kelsey B. Hatzell
Proc. ASME. ES2021, ASME 2021 15th International Conference on Energy Sustainability, V001T02A010, June 16–18, 2021
Paper No: ES2021-63435
DOI: https://doi.org/10.1115/ES2021-63435
View Paper titled, Thermal-Economic Optimization of Moving Packed Bed Particle-to-SCO 2 Heat Exchanger Using Particle Swarm Optimization
Click here to open pdf in another window PDF for Thermal-Economic Optimization of Moving Packed Bed Particle-to-SCO 2 Heat Exchanger Using Particle Swarm Optimization
Topics: Economics , Heat exchangers, Optimization, Particle swarm optimization, Particulate matter, Heat transfer, Design, Entropy, Active materials, Bulk solids
Proceedings Papers

Performance Prediction and Optimization of an Organic Rankine Cycle (ORC) Using Back Propagation Neural Network for Diesel Engine Waste Heat Recovery

Fubin Yang, Heejin Cho, Hongguang Zhang
Proc. ASME. ES2018, ASME 2018 12th International Conference on Energy Sustainability, V001T05A001, June 24–28, 2018
Paper No: ES2018-7158
DOI: https://doi.org/10.1115/ES2018-7158
View Paper titled, Performance Prediction and Optimization of an Organic Rankine Cycle (ORC) Using Back Propagation Neural Network for Diesel Engine Waste Heat Recovery
Click here to open pdf in another window PDF for Performance Prediction and Optimization of an Organic Rankine Cycle (ORC) Using Back Propagation Neural Network for Diesel Engine Waste Heat Recovery
Topics: Artificial neural networks, Diesel engines, Heat recovery, Optimization, Organic Rankine cycle, Errors, Exhaust systems, Temperature, Pareto optimization, Trains
Proceedings Papers

Design Optimization of Electrical Hubs Using Hybrid Evolutionary Algorithm

A. T. D. Perera, Vahid M. Nik, D. Mauree, J.-L. Scartezzini
Proc. ASME. ES2016, Volume 1: Biofuels, Hydrogen, Syngas, and Alternate Fuels; CHP and Hybrid Power and Energy Systems; Concentrating Solar Power; Energy Storage; Environmental, Economic, and Policy Considerations of Advanced Energy Systems; Geothermal, Ocean, and Emerging Energy Technologies; Photovoltaics; Posters; Solar Chemistry; Sustainable Building Energy Systems; Sustainable Infrastructure and Transportation; Thermodynamic Analysis of Energy Systems; Wind Energy Systems and Technologies, V001T03A007, June 26–30, 2016
Paper No: ES2016-59517
DOI: https://doi.org/10.1115/ES2016-59517
View Paper titled, Design Optimization of Electrical Hubs Using Hybrid Evolutionary Algorithm
Click here to open pdf in another window PDF for Design Optimization of Electrical Hubs Using Hybrid Evolutionary Algorithm
Topics: Design, Evolutionary algorithms, Optimization, Energy resources, Artificial neural networks, Combustion, Control equipment, Energy / power systems, Energy storage, Generators
Proceedings Papers

A Methodology for Determining Optimum Solar Tower Plant Configurations and Operating Strategies to Maximize Profits Based on Hourly Electricity Market Prices and Tariffs

Rafael Guédez, Monika Topel, Inés Conde Buezas, Francisco Ferragut, Irene Callaba, James Spelling, Zhor Hassar, Carlos David Pérez-Segarra, Björn Laumert
Proc. ASME. ES2015, Volume 1: Advances in Solar Buildings and Conservation; Climate Control and the Environment; Alternate Fuels and Infrastructure; ARPA-E; Combined Energy Cycles, CHP, CCHP, and Smart Grids; Concentrating Solar Power; Economic, Environmental, and Policy Aspects of Alternate Energy; Geothermal Energy, Harvesting, Ocean Energy and Other Emerging Technologies; Hydrogen Energy Technologies; Low/Zero Emission Power Plants and Carbon Sequestration; Micro and Nano Technology Applications and Materials, V001T05A004, June 28–July 2, 2015
Paper No: ES2015-49237
DOI: https://doi.org/10.1115/ES2015-49237
View Paper titled, A Methodology for Determining Optimum Solar Tower Plant Configurations and Operating Strategies to Maximize Profits Based on Hourly Electricity Market Prices and Tariffs
Click here to open pdf in another window PDF for A Methodology for Determining Optimum Solar Tower Plant Configurations and Operating Strategies to Maximize Profits Based on Hourly Electricity Market Prices and Tariffs
Topics: Solar energy, Storage, Design, Economic analysis, Flow (Dynamics), Modeling, Pareto optimization, Power stations, Technology development, Thermodynamic power cycles
Proceedings Papers

Multi-Regional Multi-Objective Optimization of an Algal Biofuel Polygeneration Supply Chain With Fuzzy Mathematical Programming

Aristotle T. Ubando, Joel L. Cuello, Mahmoud M. El-Halwagi, Alvin B. Culaba, Raymond R. Tan
Proc. ASME. ES2014, Volume 2: Economic, Environmental, and Policy Aspects of Alternate Energy; Fuels and Infrastructure, Biofuels and Energy Storage; High Performance Buildings; Solar Buildings, Including Solar Climate Control/Heating/Cooling; Sustainable Cities and Communities, Including Transportation; Thermofluid Analysis of Energy Systems, Including Exergy and Thermoeconomics, V002T03A004, June 30–July 2, 2014
Paper No: ES2014-6461
DOI: https://doi.org/10.1115/ES2014-6461
View Paper titled, Multi-Regional Multi-Objective Optimization of an Algal Biofuel Polygeneration Supply Chain With Fuzzy Mathematical Programming
Click here to open pdf in another window PDF for Multi-Regional Multi-Objective Optimization of an Algal Biofuel Polygeneration Supply Chain With Fuzzy Mathematical Programming
Topics: Biofuel, Computer programming, Pareto optimization, Supply chains, Design, Biodiesel, Bioenergy conversion, Composite materials, Flat plates, Flow (Dynamics)
Proceedings Papers

Flow Resistance Coefficient Identification of Chilled Water System Based on Multi-Objective Optimization and Experiment Validation

Zhijian Hou, Ming Qu, Zhirui Wang
Proc. ASME. ES2014, Volume 2: Economic, Environmental, and Policy Aspects of Alternate Energy; Fuels and Infrastructure, Biofuels and Energy Storage; High Performance Buildings; Solar Buildings, Including Solar Climate Control/Heating/Cooling; Sustainable Cities and Communities, Including Transportation; Thermofluid Analysis of Energy Systems, Including Exergy and Thermoeconomics, V002T12A009, June 30–July 2, 2014
Paper No: ES2014-6765
DOI: https://doi.org/10.1115/ES2014-6765
View Paper titled, Flow Resistance Coefficient Identification of Chilled Water System Based on Multi-Objective Optimization and Experiment Validation
Click here to open pdf in another window PDF for Flow Resistance Coefficient Identification of Chilled Water System Based on Multi-Objective Optimization and Experiment Validation
Topics: Flow (Dynamics), Pareto optimization, Water, Pipes, Air conditioning, Optimization, Pipelines, Pressure
Proceedings Papers

Multi Objective Optimization of Lifecycle Cost, Unmet Load, and Renewable Energy Capacity for an Expansion of Existing Standalone Internal Combustion Generator (ICG) Systems

A. T. D. Perera, R. A. Attalage, K. K. C. K. Perera
Proc. ASME. ES2011, ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C, 1433-1440, August 7–10, 2011
Paper No: ES2011-54287
DOI: https://doi.org/10.1115/ES2011-54287
View Paper titled, Multi Objective Optimization of Lifecycle Cost, Unmet Load, and Renewable Energy Capacity for an Expansion of Existing Standalone Internal Combustion Generator (ICG) Systems
Click here to open pdf in another window PDF for Multi Objective Optimization of Lifecycle Cost, Unmet Load, and Renewable Energy Capacity for an Expansion of Existing Standalone Internal Combustion Generator (ICG) Systems
Topics: Combustion, Generators, Life cycle costing, Pareto optimization, Renewable energy, Stress, Design, Fuel consumption, Optimization, Renewable energy sources
Proceedings Papers

Multi-Objective Optimization of a Combined Power and Cooling Cycle for Low-Grade and Mid-Grade Heat Sources

Gokmen Demirkaya, Saeb M. Besarati, Ricardo Vasquez Padilla, Antonio Ramos Archibold, Muhammad M. Rahman, D. Yogi Goswami, Elias L. Stefanakos
Proc. ASME. ES2011, ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C, 351-360, August 7–10, 2011
Paper No: ES2011-54237
DOI: https://doi.org/10.1115/ES2011-54237
View Paper titled, Multi-Objective Optimization of a Combined Power and Cooling Cycle for Low-Grade and Mid-Grade Heat Sources
Click here to open pdf in another window PDF for Multi-Objective Optimization of a Combined Power and Cooling Cycle for Low-Grade and Mid-Grade Heat Sources
Topics: Cooling, Cycles, Heat, Pareto optimization, Waste heat