Pathways to plus-energy buildings in Algeria: design optimization method based on GIS and multi-criteria decision-making

被引:23
作者
Mokhtara, Charafeddine [1 ]
Negrou, Belkhir [1 ]
Settou, Noureddine [1 ]
Gouareh, Abderrahmane [1 ]
Settou, Belkhir [1 ]
机构
[1] Univ Ouargla, Lab Promot & Valorisat Ressources Sahariennes VPR, BP 511, Ouargla 30000, Algeria
来源
EMERGING AND RENEWABLE ENERGY: GENERATION AND AUTOMATION | 2019年 / 162卷
关键词
plus-energy buildings; zero energy buildings; energy efficiency; multi-criteria decision-making; renewable energy; geographic information system; design optimization; NET-ZERO-ENERGY; RESIDENTIAL BUILDINGS; GENERATION; SYSTEM; COST; VIABILITY; STORAGE;
D O I
10.1016/j.egypro.2019.04.019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, net zero or plus-energy buildings (PEB) have been widely analyzed and discussed for their benefits of increasing energy savings and reducing greenhouse gas emissions. A successful transition to energy-efficient buildings must, however, develop an efficient method that examines technical, economic, environmental and social criteria. In this paper, a method for design optimization based on spatial analysis combined with multi-criteria decision-making was proposed for achieving plus-energy buildings in Algeria. To apply the proposed method, a single family residential building was chosen. First, the annual energy consumption of the building at 40 locations was evaluated and the results are then interpolated for the whole country. The best energy efficiency measures and renewable energy are then chosen using the Analytic Hierarchy Process (AHP) method. Finally, energy balance and spatial analysis were carried out based on the geographical information system. The results showed the energy plus target was achieved in large parts of the country using a high-performance envelope, more efficient appliances and solar energy (solar photovoltaic and thermal). In addition, the southern provinces, mainly Adrar, Tindouf, Bechar, Ouargla, and Illizi, have identified the most suitable areas for setting up new buildings with an energy-plus target. In addition, applying the method will reduce the overall energy demand by 43 % and reduce GHG emissions in the country by around 23 % by 2030. Therefore, the method will have a significant impact on sustainability locally and worldwide. (C) 2019 The Authors. Published by Elsevier Ltd
引用
收藏
页码:171 / 180
页数:10
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