Dataset accompanying the publication: Towards sustainable heat supply with decentralized multi-energy systems by integration of subsurface seasonal heat storage

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>

本数据集包含10种不同场景下的原始模型结果（文件名为SummaryFile_Raw.xlsx），相关内容来自论文《面向地下季节性储热集成的分散式多能源系统可持续供热》（Towards sustainable heat supply with decentralized multi-energy systems by integration of subsurface seasonal heat storage）。本数据集作为该论文及Els van der Roest博士学位论文的补充数据公开，亦可供其他研究人员使用。

论文摘要：在能源转型进程中，多能源系统对于缓解可持续能源供需在时间、空间与功能层面的错配问题至关重要。电力转热（power-to-heat, PtH）技术与季节性储热方案结合后，可灵活高效地利用过剩的绿色电力。然而，当前尚缺乏将PtH与季节性储热集成至多能源系统的相关理论与方法。为此，本研究针对分散式多能源系统内的高温含水层热能存储（high temperature aquifer thermal energy storage, HT-ATES）系统，开发了优化集成与控制的方法。具体而言，我们将多能源系统模型与数值水热模型进行扩展与集成，针对一个包含2000户住宅的社区案例，动态模拟了多款HT-ATES系统设计的运行效果。结果表明，将HT-ATES与PtH结合后，可100%满足年度热负荷需求，且所需热泵的最大规模可比未配置HT-ATES时小25%。该系统的成功部分源于所提出的运行模式：通过热泵降低HT-ATES的阈值温度，以此提升HT-ATES的运行性能并降低整体供热成本。综上，本研究证实，将HT-ATES集成至多能源系统中，可有效匹配年度热供需，并提升本地可持续能源的利用比例。