Assessing demand response in district heating with waste-heat utilization

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-03-15 DOI:10.1016/j.scs.2025.106270

Brage Rugstad Knudsen , Cristina Zotică , Daniel Rohde , Sverre Stefanussen Foslie , Harald Taxt Walnum

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引用次数: 0

Abstract

Demand response can enable shifting the heat demand profile of consumers in district heating to improve utilization of variable waste-heat sources. Yet, effective demand response may rely heavily on the heating supply, the buildings and their heat control, and the participating share of the building mass. Here, we present an iterative methodology for assessing price-driven demand response during the development of the heating solution of new building areas with district heating and available waste heat. The proposed methodology integrates in hierarchy a social-welfare type formulation for computation of a price signal, model predictive control of the building space heating using the price signal to shift the load, and cost minimization for the district heating operator. The proposed methodology is applied to a building area under development in Trondheim, Norway, where waste heat from a local ice-rink is available. We perform sensitivity analysis on the building area participating in the demand response to assess the effect on the total heat use and costs. Our results show a potential of 13% reduction in operational cost at the expense of 1% increase in energy consumption if the entire residential building stock participates in the program over a representative period of 90 days.

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;