Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model

被引:64
|
作者
Schuetz, Thomas [1 ]
Schiffer, Lutz [1 ]
Harb, Hassan [1 ]
Fuchs, Marcus [1 ]
Mueller, Dirk [1 ]
机构
[1] Rhein Westfal TH Aachen, EON Energy Res Ctr, Inst Energy Efficient Bldg & Indoor Climate, Mathieustr 10, Aachen, Germany
关键词
Building energy systems; Building envelopes; German Energy Saving Ordinance; ISO; 13790; Mixed-integer linear programming; Optimal design; Retrofitting; MULTIOBJECTIVE OPTIMIZATION; SYSTEM; OPERATION;
D O I
10.1016/j.apenergy.2016.10.049
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The optimal design of buildings is a complex task involving energy systems as well as construction measures. Typically, in exact optimization models, only energy systems are considered, whereas envelope components are neglected. When considering both, heuristics are commonly used, which do not guarantee optimal or close to optimal results. Thus, this paper presents the governing equations, validation and exemplary usage of a building model suitable for exact optimization problems. The developed model simultaneously considers energy systems and building envelopes. It is based on ISO 13790 and validated according to ASHRAE 140 and further compared to a more detailed model. The findings show that the developed model largely complies with the ASHRAE requirements and is able to assess buildings' dynamic behavior regarding indoor air temperatures as well as hourly, peak load, and annual heating loads. The simultaneous optimization of energy system and envelope is further demonstrated analyzing retrofitting options of a residential building. We consider solely installing additional PV units, modernizing the building envelope according to German regulations and an optimization without constraints regarding building envelope and energy system. The results indicate that installing additional PV units can moderately reduce total costs and CO2 emissions. The envelope modernization according to governmental regulations leads to largely increased costs at lower emissions, whereas the unconstrained optimization is able to simultaneously achieve significant cost and CO2 emission advantages. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
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