Economic-environmental evaluation and multi-objective optimization of supercritical CO2 based-central tower concentrated solar power system with thermal storage

Economic-environmental multi-objective optimization of concentrated solar power-supercritical CO2 Brayton cycle system with thermal storage is addressed. [Display omitted] •A novel economic-environmental optimization of sCO2 based-CSP system is presented.•System’s total environmental impact potentia...

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Veröffentlicht in:Energy conversion and management Jg. 238; S. 114140
Hauptverfasser: Liang, Yingzong, Chen, Jiansheng, Yang, Zhi, Chen, Jianyong, Luo, Xianglong, Chen, Ying
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 15.06.2021
Elsevier Science Ltd
Schlagworte:
Acidification
administrative management
Algorithms
Brayton cycle
Carbon dioxide
case studies
Climate change
Concentrated solar power
cost effectiveness
Design optimization
Economic analysis
economic evaluation
Economics
Electric power generation
Electric power systems
electricity
energy conversion
Environmental impact
Environmental objective
Environmental performance
Equipment costs
Eutrophication
Global warming
Life cycle analysis
Life cycle assessment
Life cycles
Mixed integer
Multi-objective optimization
Multiple objective analysis
Nonlinear programming
Pareto optimization
Power plants
Solar energy
Solar power
Storage capacity
Supercritical CO2 Brayton cycle
Sustainable design
Thermal storage
Working fluids
Concentrated solar power
Life cycle assessment
Multi-objective optimization
Supercritical CO2 Brayton cycle
ISSN:0196-8904, 1879-2227
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Zusammenfassung:Economic-environmental multi-objective optimization of concentrated solar power-supercritical CO2 Brayton cycle system with thermal storage is addressed. [Display omitted] •A novel economic-environmental optimization of sCO2 based-CSP system is presented.•System’s total environmental impact potentials (GWP, AP and EP) are minimized.•Heliostats are the major cost and central tower is the major emission source.•Enhancing the Brayton cycle is cost-effective to improve the system’s performance. We address the optimal design of central tower-concentrated solar power (CSP) system combined with supercritical CO2 Brayton cycle and thermal storage under economic and environmental objectives. The economic objective is measured by the levelized cost of electricity (LCOE), and the environmental objective by the power plant’s total environmental impact potential (TEIP) considering the system’s global warming, acidification, and eutrophication emission. A multi-objective mixed-integer nonlinear programming (MINLP) model is developed that takes into account the main characteristics of CSP plant, e.g. unit operations, working fluid thermodynamics, equipment sizing, thermal storage capacity. Life cycle assessment and economic evaluation of the manufacturing, construction, operation and decommission stages of the systems are also embedded in the model. The multi-objective MINLP problem is solved by a tailored algorithm, and the resulting Pareto solutions are analyzed to identify the tradeoffs between the economic and environmental performance. The proposed approach is illustrated through a case study of a 50 MWe CSP plant. Results show that the framework is able to obtain the system’s economically-environmentally optimal design in reasonable time. A minimum LCOE of 115.82 $/MWh can be achieved for the most cost-effective design, and a minimum TEIP of 320.54 × 103 mPE90 can also be achieved for the most environmentally friendly design. A ‘balanced’ solution is identified with an LCOE of 116.89 $/MWh and TEIP of 330.29 × 103 mPE90. Numerical studies also reveal that while the Brayton cycle only accounts for a small proportion of the total investment, spending more on enhancing the efficiency of its equipment is cost-effective to improve the overall economic and environmental performance of the system.
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2021.114140