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Economic analysis and optimization of combined solar district heating technologies and systems

机译:组合式太阳能区域供热技术和系统的经济分析和优化

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摘要

To find an optimal economic solution for solar district heating (SDH) in China, an evaluation model based on the levelized cost of heat (LCoH) is developed. A Python program is developed to calculate the LCoH of SDH systems using the quasi-dynamic test method. Based on these calculations, the trend of LCoH with solar collector area under different heating load intensities, heating terminal units, heated areas and land rents is discussed. The optimal solar collector area and the solar fraction are determined for combinations of solar thermal with four types of auxiliary heat sources, including air source heat pumps, ground source heat pumps, gas boilers and gas boilers with seasonal heat storage. The calculations show an economic optimal solar fraction of 11%-33% for a SDH system with heat pumps. High dependency of LCoH on network temperature is found for a SDH system with gas boilers. Seasonal heat storage minimizes LCoH of a SDH system with gas boilers at 100% solar fraction. The findings can be used as a reference for local authorities, consultants and engineers in the early energy planning to determine the optimal proportion of solar energy in a district heating system with the lowest operating cost. (C) 2019 Elsevier Ltd. All rights reserved.
机译:为了找到中国太阳能集中供热(SDH)的最佳经济解决方案,建立了基于均热成本(LCoH)的评估模型。开发了一个Python程序,使用准动态测试方法来计算SDH系统的LCoH。基于这些计算,讨论了在不同热负荷强度,加热终端单元,加热面积和地租的情况下,LCoH随太阳能集热器面积的变化趋势。确定太阳能集热器的最佳面积和太阳能分数,以结合四种类型的辅助热源(包括空气源热泵,地源热泵,燃气锅炉和具有季节性储热功能的燃气锅炉)的太阳能热能。计算结果表明,带有热泵的SDH系统的经济最佳太阳能百分率是11%-33%。对于带有燃气锅炉的SDH系统,发现LCoH对网络温度的高度依赖性。季节性储热可最大程度地减少采用100%太阳能百分率的燃气锅炉的SDH系统的LCoH。这些发现可以作为地方当局,顾问和工程师在早期能源规划中的参考,从而确定运行成本最低的区域供热系统中太阳能的最佳比例。 (C)2019 Elsevier Ltd.保留所有权利。

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