Optimal operation of CCHP system with duality operation strategy considering hydrogen trading and carbon capture

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

Sustainable Cities and Society Pub Date : 2024-10-06 DOI:10.1016/j.scs.2024.105881

Zhi-Feng Liu , Ya-He Huang , Qing Kang , Ze-Qi Li , Jing Lu , Rui-Zheng Gu , Xing-Fu Luo , Xiao-Rui Chen , You-Yuan Liu , Yu Tang , Liang Guo

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引用次数: 0

Abstract

The combined cooling, heating, and power (CCHP) system, known for its outstanding compatibility performance, has been widely integrated with renewable energy sources such as hydrogen, wind, and photovoltaics, as well as decarbonization technologies in the energy field. However, the increased complexity of CCHP scheduling due to the high proportion of renewable energy sources and load fluctuations leads to negative returns if renewable energy sources are not scheduled reasonably and decarbonization technologies are not utilized. To address this challenge, this study introduced solid oxide electrolyzer cell (SOEC) and carbon capture system (CCS) into the CCHP system, and constructed a novel CCHP model considering hydrogen trading and decarbonization technologies. First, for the scheduling of SOEC and CCS, a game model was presented based on hydrogen sales and energy storage benefits. Second, a nudge and compel theory-based scheduling strategy and a duality operation strategy (DOS) considering sources-load fluctuation were proposed. Third, for the optimal energy scheduling problem of CCHP under new strategies and technologies, a novel multi-objective PID-based search algorithm with dynamic disturbance response was introduced. Finally, the proposed new strategies, methods, and models were verified through actual case studies on multiple typical days. The results revealed that, compared with the following electrical load strategy and following thermal load strategies, the DOS reduced costs by 3.03 % and 6.99 %, and emissions by 7.84 % and 1.39 %, respectively. The obtained outcomes contribute to the application and development of clean energy and decarbonization techniques.

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考虑氢交易和碳捕获的双重运行策略下冷热电三联供系统的优化运行

冷热电三联供（CCHP）系统以其出色的兼容性能而著称，在能源领域已广泛与氢能、风能、光伏等可再生能源以及去碳化技术相结合。然而，由于可再生能源比例较高和负荷波动，增加了冷热电三联供调度的复杂性，如果不能合理调度可再生能源和利用去碳化技术，就会导致负收益。为应对这一挑战，本研究将固体氧化物电解槽（SOEC）和碳捕集系统（CCS）引入冷热电联供系统，并构建了考虑氢交易和去碳化技术的新型冷热电联供模型。首先，针对 SOEC 和 CCS 的调度，提出了一个基于氢销售和储能效益的博弈模型。其次，提出了一种基于推力和强制理论的调度策略，以及一种考虑到能源-负荷波动的二元操作策略（DOS）。第三，针对新策略和新技术下的冷热电三联供最优能源调度问题，提出了一种具有动态扰动响应的基于 PID 的新型多目标搜索算法。最后，通过多个典型日的实际案例研究验证了所提出的新策略、新方法和新模型。结果表明，与跟随电负荷策略和跟随热负荷策略相比，DOS 分别降低了 3.03 % 和 6.99 % 的成本，减少了 7.84 % 和 1.39 % 的排放。这些成果有助于清洁能源和脱碳技术的应用和发展。

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

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;