Evaluation of energy demands in future scenarios for a residential district via co-simulation of heat, electricity, and mobility: the case of the district “Am Ölper Berge”

Q2 Energy
Energy Informatics Pub Date : 2026-03-13 Epub Date: 2026-04-09 DOI:10.1186/s42162-026-00658-1
Fernando Penaherrera, Ihsan Ünal, Lars Kühl, Astrid Nieße
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引用次数: 0

Abstract

Purpose

This study examines the thermal, electrical, and mobility energy demand and supply of the residential district “Am Ölper Berge" in Lower Saxony, and evaluates potential developments of the district energy supply system and the trade-offs associated with its modernization.

Methods

A reference scenario for the year 2020 serves as the baseline for evaluating future development points (2030, 2040, 2050), including increasing electrification of thermal energy supply, improvements in building energy efficiency, and the integration of renewable energy sources for local generation. The scenarios include step-by-step measures such as facade insulation, implementation of photovoltaic systems, district heating supply, implementation of heat pumps, and the integration of charging infrastructure for electric vehicles. This is achieved using several control models integrated into the co-simulation platform mosaik.

Results

In the 2050 scenario, heat supply is provided via heat pumps and a low-temperature district heating network, supplemented by neighborhood energy storage and extensive use of photovoltaic systems. Four extended scenarios examine centralized and decentralized control strategies that monitor grid voltage across the district and optimize electric vehicle charging. The analysis includes charging strategies such as maximum charging power, night-time charging, forecast-based charging, and solar-optimized charging. The results show significant differences in external energy demands and CO\(_2\) emissions, with solar-optimized charging of electrical vehicles combined with areal use of power flexibilities for grid control offering the greatest environmental and operational benefits.

Conclusion

The study provides key insights into the interactions between building energy demands, decentralized generation, and grid operation, thereby supporting the planning of energy supply for urban districts in alignment with emission reduction targets.

Abstract Image

通过热、电和交通的联合模拟来评估未来住宅区的能源需求:以“Am Ölper Berge”为例
本研究考察了下萨克森州“Am Ölper Berge”住宅区的热能、电力和交通能源需求和供应,并评估了该地区能源供应系统的潜在发展及其现代化相关的权衡。方法以2020年的参考情景为基准,评估未来的发展点(2030年、2040年和2050年),包括增加热能供应的电气化、提高建筑能源效率以及将可再生能源整合到当地发电。这些方案包括逐步采取措施,如立面隔热、光伏系统的实施、区域供热供应、热泵的实施以及电动汽车充电基础设施的整合。这是使用集成到联合仿真平台mosaik中的几个控制模型来实现的。在2050年的情景中,供热将通过热泵和低温区域供热网络提供,并辅以邻里储能和光伏系统的广泛使用。四个扩展场景检查集中式和分散式控制策略,以监测整个地区的电网电压并优化电动汽车充电。该分析包括最大充电功率、夜间充电、基于预测的充电和太阳能优化充电等充电策略。结果显示,在外部能源需求和CO \(_2\)排放方面存在显著差异,太阳能优化的电动汽车充电与电网控制的电力灵活性的实际使用相结合,提供了最大的环境和运营效益。结论该研究为建筑能源需求、分散发电和电网运行之间的相互作用提供了重要的见解,从而支持城市区域能源供应规划与减排目标保持一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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