Abstract
In this study, a bottom-up energy system optimization model is developed to assist the decision-making towards a sustainable energy system in the local area, while accounting for both supply-side and demand-side measures. The demand-side energy efficiency measures have been modeled as virtual energy generators, so as to be considered within a uniform optimization framework. The optimization model can provide feasible system configuration of both supply-side and demand-side appliances, as well as corresponding operating strategies, in terms of either economic performance or environmental benefit. As an illustrative example, a residential area located in Kitakyushu, Japan, is employed for analysis. The simulation results suggest that the combination of distributed energy resources and energy efficiency measures may result in better economic, energy and environmental performances. Moreover, it is technically and economically feasible to achieve more than 40% reduction in CO2 emissions within the local area.
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Acknowledgements
This work was supported in part by National Natural Science Foundation of China (No. 71403162) and Shanghai Sailing Program (No. 17YF1406800).
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Wu, Q., Ren, H. (2017). Optimal Design and Operation of Integrated Energy System Based on Supply-Demand Coupling Analysis. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_57
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DOI: https://doi.org/10.1007/978-981-10-6364-0_57
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