期刊
ENERGY CONVERSION AND MANAGEMENT
卷 251, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2021.114989
关键词
Integrated energy system; Multi-objective optimization; Non-grid electric priority; Matching performance; Preference coefficient; Marginal abatement cost
资金
- National Natural ScienceFoundation of China [51736006, 22109022]
- Funda-mental Research Funds for the Central Universities [2242021k30028]
The research introduces an integrated energy system utilizing solar and geothermal energy, which is optimized using a multi-objective approach to improve economic, energy, and environmental performance. The results show significant improvements in all aspects of the system.
Integrating advanced renewable energy into traditional energy systems could be quite beneficial for reducing emissions of greenhouse gases. A solar and geothermal energy assisted integrated energy system (IES) is proposed employing a gas turbine, absorption and ground heat pump cycles, and electric and thermal storage units. The multi-objective optimization approach considering the energy, environmental and economic performance is employed to optimize the system using genetic algorithm (NSGA- II) in MATLAB software. The operating strategies of the IES are considered by introducing four operational modes based on following the thermal or electric loads modes (FTL/FEL) and prioritizing the use of non-grid electricity. The coupled weighted thermal and electric matching performance of the hybrid energy system is chosen as the decision-making parameter for finding the ideal system solution from the Pareto frontiers. The results demonstrate that the FEL mode obtains a better coupled matching performance than the FTL mode, but the goodness of the matching is also influenced by the weighting method employed. The best performance improvements obtained over a traditional system is 36.4% for the economic benefits, and the highest energy and environmental benefits found are 47.9% and 60.7%, respectively. The best coupled matching performance found is 90.6% with a thermal and electric matching of 68.7% and 89.1%, which corresponds to an ideal performance with benefits of 35.3% for energy, 51.2% for emissions, 36.3% for costs, respectively. The carbon tax has a major impact on the economic performance of the solutions and could improve the cost saving ratio up to 38.3% when using a higher CO2 tax.
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