RETRACTED: Renewable energy systems optimization by a new multi-objective optimization technique: A residential building (Retracted Article)

被引:49
|
作者
Liu, Bo [1 ]
Rodriguez, Dragan [2 ]
机构
[1] Wuchang Univ Technol, Sch Urban Construct, Wuhan 430223, Peoples R China
[2] Case Western Reserve Univ, Cleveland, OH 44106 USA
来源
关键词
Multi-criteria optimization; Renewable energy sources; Adaptive sparrow search; optimizationAlgorithm; Cost-optimum evaluation; Building energy behavior; Building transient simulation; PREDICTION; CONTROLLER; VARIABLES; ALGORITHM;
D O I
10.1016/j.jobe.2020.102094
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Today due to the important environmental effects of the building sector, the utilization of sustainable energy sources should be taken into account by designers. For the optimization of the integrated sustainable energy systems, a new simulation-based optimization technique is used in this paper. A new optimization Algorithm called the Adaptive Sparrow Search Optimization Algorithm is used. It is aimed to minimize two objective functions including the initial load demand and the investment cost. The lowest value of renewable energy integration based on the Montenegrin regulations is assumed as the limitation. Also, the capability of the householders is a constraint. Initial load demand saves 29.2 kWh/m(2)a and 79,121 (sic) of global cost by the methodology in comparison to a building composition not regarding the sustainable energy sources.
引用
收藏
页数:12
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