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作 者:姜瑞 赵薇[1] 杨萌 JIANG Rui;ZHAO Wei;YANG Meng(School of Civil and Architectural Engineering,Liaoning University of Technology,Jinzhou 121001,China)
机构地区:[1]辽宁工业大学土木建筑工程学院,辽宁锦州121001
出 处:《辽宁工业大学学报(自然科学版)》2025年第1期42-47,共6页Journal of Liaoning University of Technology(Natural Science Edition)
基 金:国家自然科学基金项目(52070091);辽宁“百千万人才工程”培养经费资助。
摘 要:可再生能源的大规模应用加剧了建筑能源系统供需矛盾,亟需通过设计负荷与柔性负荷的协同优化提升多能互补系统的调节能力。从二者协同视角出发,综述多能互补系统的优化研究,涵盖容量配置、智能算法及多目标优化模型。研究表明,现有成果虽显著降低运行成本与碳排放,但仍存在跨能源协同不足、柔性负荷潜力未充分挖掘等问题。未来需深度融合多能流协同机制与智能算法,开发精细化模型,推动系统高效低碳转型。The large-scale application of renewable energy has intensified the supply-demand contradiction in building energy systems.It is urgent to enhance the regulation ability of multi-energy complementary systems through the collaborative optimization of design loads and flexible loads.From the perspective of their collaboration,this paper reviews the optimization research of multi-energy complementary systems,covering capacity configuration,intelligent algorithms,and multi-objective optimization models.Research shows that while existing achievements have significantly reduced operating costs and carbon emissions,problems such as insufficient cross-energy collaboration and unexploited potential of flexible loads still exist.In the future,it is necessary to deeply integrate the multi-energy flow collaboration mechanism with intelligent algorithms,develop refined models,and promote the efficient and low-carbon transformation of the system.
分 类 号:TK01[动力工程及工程热物理]
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