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- W4200438523 abstract "For the purpose of coping with the severe climate change challenge arising by greenhouse gas emission, a novel energy system paradigm, generally so-called District Multi-Energy System (DMES), has turned out to be the most influential solution for existing energy system to transit to a higher efficient, lower-carbon, safer and more sustainable energy environment. Hence, a large number of researches have already contributed to address optimal problems relevant to planning, deployment, operation, management in DMES area. In the context of these efforts, energy technology cost, a significantly important parameter in optimization target, is often assumed as a given value being irrelevant to optimal decision-making. Such an approach clearly neglects the evolutional characteristic of energy technology and consequently leads to less accurate optimization results. In this respect, integrating multiple types of energy carriers, in particular renewables, a kind of DMES model is proposed which intends to obtain the optimal deployment capacity of different power units involved in the energy system. Moreover, learning curve model that depicts the evolution trajectory of energy technology cost is also incorporated to DMES model to investigate the impact of cost evolution on optimal results." @default.
- W4200438523 created "2021-12-31" @default.
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- W4200438523 creator A5090614825 @default.
- W4200438523 date "2021-10-09" @default.
- W4200438523 modified "2023-09-24" @default.
- W4200438523 title "Optimal Deployment Capacity of District Multi-Energy System Considering Cost Evolution" @default.
- W4200438523 doi "https://doi.org/10.1109/icpea52760.2021.9639349" @default.
- W4200438523 hasPublicationYear "2021" @default.
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