Multi-Objective Optimization of a Shading System to Reduce Heating and Cooling Energy Needs of a House in Benguerir, Morocco

被引：0

作者：

Er-retby, Houda ^{[1
]}

Gartoumi, Bouthayna Idrissi ^{[1
]}

Mastouri, Hicham ^{[1
]}

Radoine, Hassan ^{[1
]}

Bahi, Hicham ^{[1
]}

Outzourhit, Abdelkader ^{[2
]}

机构：

[1] Mohammed VI Polytech Univ, Sch Architecture Planning & Design, Benguerir, Morocco

[2] Cadi Ayyad Univ, Marrakech, Morocco

来源：

PROCEEDINGS OF 2021 9TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC) | 2021年

关键词：

Shading system; Algorithm (NSGA-II); Heating needs; Cooling needs;

D O I：

10.1109/IRSEC53969.2021.9741197

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This work presents a methodology combining multi-objective optimization with MOBO and building energy simulation with TRNSYS, to optimize shading coefficients to reduce the heating and cooling energy needs of an existing building in Benguerir-Morocco. The optimization was performed using the non-dominated sorting genetic algorithm of (NSGA-II). Optimal values for the shading coefficients of windows located on different orientations were determined. The optimal heating/cooling demand was found to be about 130 kWh/m(2).year instead of 207 kWh/m(2).year of the energy needs of the building.

引用

页码：263 / 267

页数：5

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