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Stochastic optimal integration of decentralized heat pumps in a smart thermal and electric micro-grid
Energy Conversion and Management ( IF 10.4 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.enconman.2020.112734 Daniele Testi , Luca Urbanucci , Chiara Giola , Eva Schito , Paolo Conti
Energy Conversion and Management ( IF 10.4 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.enconman.2020.112734 Daniele Testi , Luca Urbanucci , Chiara Giola , Eva Schito , Paolo Conti
Abstract Heat pumps represent a link between different energy vectors and their application in thermal and electrical grids can improve the overall operational flexibility of the system. In this work, the optimal integration of electrically driven heat pumps within a hybrid distributed energy system is investigated. A multi-objective stochastic optimization methodology is proposed to evaluate the integrated optimal sizing and operation of the energy systems under uncertainties in climate, space occupancy, energy loads, and fuel costs. A case study is considered, namely a University campus, and two different configurations, with and without heat pumps, are compared. Both configurations include a cogeneration system, photovoltaic and solar thermal panels, and a wind turbine. The results show how the integration of heat pumps can reduce the operational cost of the system, increase the renewables share, provide a more robust design of the system, and moderate the risk of the investment. Indeed, the configuration with heat pumps entails a 50% higher expected value of the energy savings, a 28% increase of the renewable energy production, and higher energy savings in the worst-case scenario (13% vs. 5%).
中文翻译:
分散式热泵在智能热电微电网中的随机优化集成
摘要 热泵代表了不同能量向量之间的联系,它们在热力和电网中的应用可以提高系统的整体运行灵活性。在这项工作中,研究了混合分布式能源系统中电驱动热泵的最佳集成。提出了一种多目标随机优化方法,以评估在气候、空间占用、能源负载和燃料成本的不确定性下能源系统的综合优化规模和运行。考虑了一个案例研究,即大学校园,并比较了有和没有热泵的两种不同配置。两种配置都包括热电联产系统、光伏和太阳能热板以及风力涡轮机。结果表明,热泵的集成如何降低系统的运营成本,增加可再生能源份额,提供更稳健的系统设计,并降低投资风险。事实上,采用热泵的配置使节能预期值提高 50%,可再生能源产量增加 28%,在最坏的情况下节能更高(13% 对 5%)。
更新日期:2020-04-01
中文翻译:
分散式热泵在智能热电微电网中的随机优化集成
摘要 热泵代表了不同能量向量之间的联系,它们在热力和电网中的应用可以提高系统的整体运行灵活性。在这项工作中,研究了混合分布式能源系统中电驱动热泵的最佳集成。提出了一种多目标随机优化方法,以评估在气候、空间占用、能源负载和燃料成本的不确定性下能源系统的综合优化规模和运行。考虑了一个案例研究,即大学校园,并比较了有和没有热泵的两种不同配置。两种配置都包括热电联产系统、光伏和太阳能热板以及风力涡轮机。结果表明,热泵的集成如何降低系统的运营成本,增加可再生能源份额,提供更稳健的系统设计,并降低投资风险。事实上,采用热泵的配置使节能预期值提高 50%,可再生能源产量增加 28%,在最坏的情况下节能更高(13% 对 5%)。