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Techno-economic design optimization of hybrid renewable energy applications for high-rise residential buildings

机译：技术经济设计优化高层住宅楼的混合再生能源应用

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摘要

This study aims to explore the techno-economic feasibility of renewable energy systems for power supply to high-rise residential buildings within urban contexts. Experiments on a photovoltaic (PV) and battery storage system under maximizing self-consumption and time-of-use strategies are conducted to study the system performance and validate energy balance based battery and energy management models. Four renewable application scenarios are investigated for a typical high-rise building in Hong Kong through coupled modelling and optimizations with TRNSYS and jEPlus + EA. A comprehensive technical optimization criterion integrating the energy supply, battery storage, building demand and grid relief indicators is developed, and the levelized cost of energy (LCOE) considering detailed renewables benefits including the feed-in tariff, transmission loss saving, network expansion saving and carbon reduction benefit is formulated. Experimental results show that root mean square deviations between the tested and simulated battery state of charge for the two strategies are 1.49% and 0.94% respectively. It is indicated that the PV system covers 16.02% of the annual load at a LCOE of 0.5252 US $/kWh and the PV-wind system covers 53.65% of the annual load at the lowest LCOE of 0.1251 $/kWh. The added battery improves the annual average load cover ratio and self-consumption ratio by 14.08% and 16.56% respectively, while the optimum PV-wind-battery system covers 81.29% of the annual load at an affordable LCOE of 0.2230 $/kWh. Techno-economic analyses of different typical scenarios can provide valuable references to related stakeholders for a promotion of renewable applications in high-rise buildings and further reduction of urban carbon footprint.
机译：本研究旨在探讨可再生能源系统对城市环境中高层住宅建筑供电的技术经济可行性。在最大化自耗和使用时间策略下，对光伏（PV）和电池存储系统的实验进行了研究，以研究系统性能和验证基于能量平衡的电池和能源管理模型。通过使用Trnsys和Jeplus + EA的耦合建模和优化来调查香港典型高层建筑的四个可再生应用方案。开发了全面的技术优化标准，开发了集成了能源供应，电池储存，建筑物需求和电网浮雕指标，以及考虑详细可再生能源的能源（LCoE）的稳定性成本（LCoE），包括饲料关税，传输亏损，网络扩展节省和制定碳还原效果。实验结果表明，两种策略的测试和模拟电池电量之间的根均方偏差分别为1.49％和0.94％。结果表明，光伏系统占地16.02％的LCoE在0.5252美元，PV-Wind系统占据了0.1251美元/千瓦时的最低LCoE的年负荷的53.65％。添加的电池将年平均负荷率和自耗比分别提高了14.08％和16.56％，而最佳PV-Wind-Battery系统占据了每年载荷的81.29％，其实惠的LCoE为0.2230 $ / kWh。不同典型情景的技术经济分析可以为相关利益相关者提供有价值的参考，以促进高层建筑物的可再生应用以及城市碳足迹的进一步减少。

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  • 来源
    《Energy Conversion & Management》 |2020年第6期|112868.1-112868.15|共15页
  • 作者

    Liu Jia; Wang Meng; Peng Jinqing; Chen Xi; Cao Sunliang; Yang Hongxing;

  • 作者单位

    Hong Kong Polytech Univ Renewable Energy Res Grp RERG Dept Bldg Serv Engn Kowloon Hong Kong Peoples R China;

    Changsha Univ Sci & Technol Sch Energy & Power Engn Changsha Hunan Peoples R China;

    Hunan Univ Coll Civil Engn Changsha Hunan Peoples R China;

    Hong Kong Polytech Univ Renewable Energy Res Grp RERG Dept Bldg Serv Engn Kowloon Hong Kong Peoples R China|Open Univ Hong Kong Sch Sci & Technol Hong Kong Peoples R China;

    Hong Kong Polytech Univ Renewable Energy Res Grp RERG Dept Bldg Serv Engn Kowloon Hong Kong Peoples R China;

    Hong Kong Polytech Univ Renewable Energy Res Grp RERG Dept Bldg Serv Engn Kowloon Hong Kong Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Solar photovoltaic; Wind turbine; Battery storage; Multi-objective optimization; Urban context;

    机译：太阳能光伏;风力涡轮机;电池储存;多目标优化;城市背景;

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