TY - JOUR
T1 - Multi-objective optimization of a solar-driven trigeneration system considering power-to-heat storage and carbon tax
AU - Chen, Yuzhu
AU - Hu, Xiaojian
AU - Xu, Wentao
AU - Xu, Qiliang
AU - Wang, Jun
AU - Lund, Peter D.
N1 - Funding Information:
This research has been supported by National Natural Science Foundation of China (Grant No. 22109022 and 51736006 ) and Fundamental Research Funds for the Central Universities (Grant No. 2242021k30028 ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Advanced solar driven tri-generation systems are highly relevant to reduce emissions and increase energy security. Here, solar collectors and photovoltaics are coupled to a tri-generation system to produce multiple final energy forms simultaneously for an office building. The excess solar electricity is employed for cooling/heating through a power-to-heat conversion employing thermal energy storage. Comprehensive optimization is performed to maximize the energy, environmental, and economic benefits, and the carbon tax is included to monetize the emissions. A coupled decision-making method is then used to choose the ideal scheme from the optimized sets of system configuration accompanied with a sensitivity analysis against key parameters. Compared to the conventional system, the proposed system improves the energy performance by 41.4% and the environmental benefits by 41.7% with the highest solar energy utilization rate. The economic performance improves in the best case by 14.4% only, but with the lowest utilization rate of solar energy. The ideal solution covers 30%, 54%, and 62% of the electricity, cooling, and heating loads, respectively, and the corresponded energy, environmental, and economic performance improves by 29.1%, 34.6%, and 7.7%, respectively. The sensitivity analysis shows that the economic performance is more sensitive to the electricity price than to the carbon tax.
AB - Advanced solar driven tri-generation systems are highly relevant to reduce emissions and increase energy security. Here, solar collectors and photovoltaics are coupled to a tri-generation system to produce multiple final energy forms simultaneously for an office building. The excess solar electricity is employed for cooling/heating through a power-to-heat conversion employing thermal energy storage. Comprehensive optimization is performed to maximize the energy, environmental, and economic benefits, and the carbon tax is included to monetize the emissions. A coupled decision-making method is then used to choose the ideal scheme from the optimized sets of system configuration accompanied with a sensitivity analysis against key parameters. Compared to the conventional system, the proposed system improves the energy performance by 41.4% and the environmental benefits by 41.7% with the highest solar energy utilization rate. The economic performance improves in the best case by 14.4% only, but with the lowest utilization rate of solar energy. The ideal solution covers 30%, 54%, and 62% of the electricity, cooling, and heating loads, respectively, and the corresponded energy, environmental, and economic performance improves by 29.1%, 34.6%, and 7.7%, respectively. The sensitivity analysis shows that the economic performance is more sensitive to the electricity price than to the carbon tax.
KW - Carbon tax
KW - Coupling decision-making method
KW - Multi-objective optimization
KW - Power-to-heat
KW - Solar driven trigeneration
KW - Thermal storage
UR - http://www.scopus.com/inward/record.url?scp=85126940236&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2022.123756
DO - 10.1016/j.energy.2022.123756
M3 - Article
AN - SCOPUS:85126940236
SN - 0360-5442
VL - 250
SP - 1
EP - 12
JO - Energy
JF - Energy
M1 - 123756
ER -