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Dataset accompanying the publication: Towards sustainable heat supply with decentralized multi-energy systems by integration of subsurface seasonal heat storage|多能源系统数据集|季节性热存储数据集
收藏DataCite Commons2025-06-01 更新2024-07-03 收录
下载链接：
https://data.4tu.nl/articles/_/16964773/1
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This dataset contains raw model results ('SummaryFile_Raw.xlsx') from 10 different scenario's as part of a publication'Towards sustainable heat supply with decentralized mul-ti-energy systems by integration of subsurface seasonal heat storage' It is being made public to act as supplementary data for publication(s) and the PhD thesis of Els van der Roest. Also, it might be used by other researchers.<br><br>Abstract of the paper:In the energy transition, multi-energy systems are crucial to reduce the temporal, spatial and functional mismatch between sustainable energy supply and demand. Technologies as power-to-heat (PtH) allow flexible and effective utilisation of available surplus green electricity when integrated with seasonal heat storage options. However, insights and methods for integration of PtH and seasonal heat storage in multi-energy systems are lacking. Therefore, in this study, we developed methods for improved integration and control of a high temperature aquifer thermal energy storage (HT-ATES) system within a decentralized multi-energy system. To this end, we expanded and integrated a multi-energy system model with a numerical hydro-thermal model to dynamically simulate the functioning of several HT-ATES system designs for a case study of a neighbourhood of 2000 houses. Results show that the integration of HT-ATES with PtH allows 100% provision of the yearly heat demand, with a maximum 25% smaller heat pump than without HT-ATES. Success of the system is partly caused by the developed mode of operation whereby the heat pump lowers the threshold temperature of the HT-ATES, as this increases HT-ATES performance and decreases the overall costs of heat production. Overall, this study shows that the integration of HT-ATES in a multi-energy system is suitable to match annual heat demand and supply, and to increase local sustainable energy use. <br>
提供机构：
4TU.ResearchData
创建时间：
2021-11-29
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