Passive designs and renewable energy systems optimization of a net zero energy building in Embrun/France

2018 7th International Conference on Clean and Green Energy

能源学;生态环境科学

Harkouss, F.^1,2 ; Biwole, P.H.^3,4 ; Fardoun, F.^1

University Institute of Technology, Department GIM, Lebanese University, Saida, Lebanon^1

Université Cote d'Azur, J.A. Dieudonné Laboratory, UMR CNRS 7351, Parc Valrose, Nice

06108, France^2

Université Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, Clermont-Ferrand

F-63000, France^3

MINES Paris Tech, PSL Research University, PERSEE, Center for Processes, Renewable Energies and Energy Systems, CS 10207, Sophia Antipolis

06 904, France^4

关键词: Building energy consumption;    Decision-making method;    Efficiency measure;    Energy efficient systems;    Non- dominated sorting genetic algorithms;    Optimum design parameters;    Renewable energy systems;    Solar energy systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/154/1/012009/pdf
DOI  :  10.1088/1755-1315/154/1/012009

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Buildings' optimization is a smart method to inspect the available design choices starting from passive strategies, to energy efficient systems and finally towards the adequate renewable energy system to be implemented. This paper outlines the methodology and the cost-effectiveness potential for optimizing the design of net-zero energy building in a French city; Embrun. The non-dominated sorting genetic algorithm is chosen in order to minimize thermal, electrical demands and life cycle cost while reaching the net zero energy balance; and thus getting the Pareto-front. Elimination and Choice Expressing the Reality decision making method is applied to the Pareto-front so as to obtain one optimal solution. A wide range of energy efficiency measures are investigated, besides solar energy systems are employed to produce required electricity and hot water for domestic purposes. The results indicate that the appropriate selection of the passive parameters is very important and critical in reducing the building energy consumption. The optimum design parameters yield to a decrease of building's thermal loads and life cycle cost by 32.96% and 14.47% respectively.