Prediction of High Impact Factors on Building's Thermal Loads in Semi-arid Climate

被引：0
作者：
Lamrhari, Elhadi Drissi [1 ]
Benhamou, Brahim [1 ]
机构：
[1] Cadi Ayyad Univ, Natl Ctr Studies & Res Water & Energy CNEREE, Lab EnR2E, Energy Proc Res Grp,Fac Sci Semlalia,LMFE URAC 27, Marrakech, Morocco
来源：
PROCEEDINGS OF 2017 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 17) | 2017年
关键词：
component; Building simulation; performance; multiple linear regression; design of experiment; ENERGY-CONSUMPTION; REGRESSION MODEL; COOLING LOADS; DEMAND; STRATEGIES; BEHAVIOR; DESIGN; TOOL;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This study aims at predicting, through mathematical models, the thermal loads of a building's cell in Marrakech (Morocco), whose climate is hot semi-arid. Eight building's parameters were selected to model its energy demand using multiple linear regression method that lead to high accuracy mathematical models. These models are built from the results of several TRNSYS dynamic simulation. The analysis of the results allows concluding that, in hot semi-arid climates, the building's parameters that have high impact on its energy loads are mainly the window-to-wall ratio, the roof and the walls thermal insulation. The control of these three parameters can improve more than 92% and 87% of the building's cooling and heating loads respectively.
引用
收藏
页码：467 / 472
页数：6
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