Impact of building geometry description within district energy simulations

被引:28
|
作者
De Jaeger, Ina [1 ,2 ,3 ]
Reynders, Glenn [1 ,3 ]
Ma, Yixiao [1 ,2 ]
Saelens, Dirk [1 ,3 ]
机构
[1] EnergyVille, Thor Pk 8310, BE-3600 Genk, Belgium
[2] Flemish Inst Technol Res VITO, Unit Smart Energy & Built Environm, Boeretang 200, BE-2400 Mol, Belgium
[3] Katholieke Univ Leuven, Dept Civil Engn, Bldg Phys Sect, Kasteelpk Arenberg 40,Box 2447, BE-3001 Heverlee, Belgium
关键词
District energy simulation; District energy demand; CityGML; GIS; LOD1; LOD2; QUALITY; LOD;
D O I
10.1016/j.energy.2018.06.098
中图分类号
O414.1 [热力学];
学科分类号
摘要
To assess the feasibility of district energy systems as well as to design them in an optimal way, district energy simulations are often deployed, requiring an accurate spatial and temporal quantification of the district energy demand. Geographical information models and systems can provide input data to quantify the district energy demand, but the available levels of detail (LOD) of these data vary significantly between regions. Therefore, this work investigates the usability of LOD1 and LOD2 representations as well as the impact of building geometry within district energy simulations, by quantifying the differences in geometrical and energy characteristics between five variants of LOD1 or LOD2 representations. The most detailed LOD2 representation is thereby used as a reference. The results show that the significantly decreasing accuracy using LOD1 models may be compensated by assuming the roof shape from regional statistics. Also, aggregation of wall and roof components into a limited number of orientations significantly reduces simulation time, while maintaining the accuracy. It is concluded that geographical information models contain a significant amount of useful data, but the error that results from the deployed level of detail must be kept in mind when assessing the simulation results. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1060 / 1069
页数:10
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