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Multi-Objective Optimization of Complex Measures on Supplying Energy to Rural Residential Buildings in Uzbekistan Using Renewable Energy Sources
Applied Solar Energy Pub Date : 2020-06-16 , DOI: 10.3103/s0003701x20020073
A. Halimov , M. Nürenberg , D. Müller , J. Akhatov , Z. Iskandarov

Abstract

This study presents the first results of multi-objective optimization of typical four-room rural residential buildings in Uzbekistan with different levels of thermal insulation. For that purpose, a simplified static model of buildings based on the heating degree-days has been employed and the optimal designs were found for three scenarios. In the first scenario, the life-cycle cost of the reconstruction measure was analyzed where the optimal thicknesses of the insulation layer were found for the roof, floor, and external walls but no solutions were found for windows, solar collectors, and photovoltaic (PV) panels. In the second scenario, primary energy consumption was minimized to zero for space heating and domestic hot water. In this scenario, the thickness of insulation layers for building envelopes and the size of solar collectors were optimized in various regions. In the final scenario, low carbon communities were considered in technoeconomic conditions of Uzbekistan. However, no optimal solutions were found in the current cost of electricity.


中文翻译:

使用可再生能源向乌兹别克斯坦农村住宅建筑物供电的复杂措施的多目标优化

摘要

这项研究提出了乌兹别克斯坦具有不同隔热等级的典型四室农村住宅建筑多目标优化的初步结果。为此,我们采用了基于供暖日数的简化建筑物静态模型,并针对三种情况找到了最佳设计。在第一种情况下,分析了重建措施的生命周期成本,其中找到了屋顶,地板和外墙的最佳保温层厚度,但没有找到窗户,太阳能集热器和光伏(PV )面板。在第二种情况下,空间供暖和生活热水将一次能源消耗最小化为零。在这种情况下,在各个区域优化了用于建筑围护结构的隔热层的厚度和太阳能收集器的尺寸。最后,乌兹别克斯坦的技术经济条件考虑了低碳社区。但是,在当前的电费中找不到最佳解决方案。
更新日期:2020-06-16
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