SIMPLE NONLINEAR OPTIMIZATION-BASED SELECTION OF INSULATION MATERIAL AND WINDOW TYPE IN TURKEY:EFFECT OF HEATING AND COOLING BASE TEMPERATURES

作     者：Fehmi GörkemÜçtuğ Semra Ağralı 

作者机构：School of Chemical Engineering and Analytical ScienceThe University of ManchesterManchesterUKM139PL Department of Industrial EngineeringMEF University34396SarıyerİstanbulTurkey 

出 版 物：《Journal of Green Building》 (绿色建筑学报（英文）)

年 卷 期：2017年第12卷第2期

页      面：79-94页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Base temperature Degree days method HVAC systems Insulation thickness Nonlinear mixed-integer programming Optimization 

摘      要：The energy-savings of four hypothetical households in different climatic regions of Turkey were calculated via a nonlinear mixed integer optimization *** ideal insulation material,its optimum thickness,and the ideal window type were *** standard degree days method was used with five different base temperatures for heating and five different base temperatures for *** climatic conditions of the region,the properties of the insulation options,the unit price of fuel and electricity and the base temperature are used as model inputs,whereas the combination of selected insulation material with its optimum thickness and window type are given as model *** Wool was found to be the ideal wall insulation material in all *** optimum window type was found to depend on the heating or cooling requirements of the house,as well as the lifetime of *** region where the energy saving actions are deemed most feasible has been identified as Erzurum(Region 4),followed by Antalya(Region 1).Finally,the effect of changing the base temperature on energy savings was investigated and the results showed that an approximate average increase of$15/℃ in annual savings is *** model can be used by any prospective home-owner who would like to maximize their energy savings.