Commenced in January 2007
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##### Geometric Simplification Method of Building Energy Model Based on Building Performance Simulation

Authors: Yan Lyu, Yiqun Pan, Zhizhong Huang

Abstract:

In the design stage of a new building, the energy model of this building is often required for the analysis of the performance on energy efficiency. In practice, a certain degree of geometric simplification should be done in the establishment of building energy models, since the detailed geometric features of a real building are hard to be described perfectly in most energy simulation engine, such as ESP-r, eQuest or EnergyPlus. Actually, the detailed description is not necessary when the result with extremely high accuracy is not demanded. Therefore, this paper analyzed the relationship between the error of the simulation result from building energy models and the geometric simplification of the models. Finally, the following two parameters are selected as the indices to characterize the geometric feature of in building energy simulation: the southward projected area and total side surface area of the building. Based on the parameterization method, the simplification from an arbitrary column building to a typical shape (a cuboid) building can be made for energy modeling. The result in this study indicates that no more than 7% prediction error of annual cooling/heating load will be caused by the geometric simplification for those buildings with the ratio of southward projection length to total perimeter of the bottom of 0.25~0.35, which means this method is applicable for building performance simulation.

References:

[1] J. A. Clarke, Energy simulation in building design (the 2nd Edition). 2001, Butterworth-Heinemann Elsevier Ltd, Oxford, UK.
[2] Y. Pan, Practical building energy consumption simulation manual. 2013, China Architecture & Building Press, Beijing, China.
[3] L. Xu, Y. Pan, M. Lin, Z. Huang, Community load leveling for energy configuration optimization: Methodology and a case study. Sustainable Cities and Society, v 35, p 94-106, 2017.
[4] Y. Pan, Y. Pan, Y. Yang, H. Liu, A Parametric Study on the Community Form and Its Influences on Energy Consumption of Office Buildings in Shanghai. Procedia Engineering, 10th International Symposium on Heating, Ventilation and Air Conditioning, v 205, p 548-555, 2017.
[5] A. Tribaleau, O. Dazel, N. Tahani, B. Brouard, J. M. Genevaux, J. P. Groby, R. Brevart, Geometric simplification of a wooden building connector in dynamic finite element model. 41st International Congress and Exposition on Noise Control Engineering, v 1, p 672-679, 2012.
[6] Q. Li, X. Sun, B. Yang, S. Jiang, Geometric structure simplification of 3D building models. ISPRS Journal of Photogrammetry and Remote Sensing, v 84, p 100-113, 2013.
[7] S. Drechsler, An algorithm for automatic geometry simplification for room acoustical simulation based on regression planes. Acta Acustica United with Acustica (in German), v 100, n 5, p 956-63, Sept.-Oct. 2014.
[8] R. Ourghi, A. Al-Anzi, M. Krarti, A simplified analysis method to predict the impact of shape on annual energy use for office buildings. Energy Conversion and Management, v 48, n 1, p 300-305, 2007.
[9] D. Ladenhauf, K. Battisti, R. Berndt, E. Eggeling, D. W. Fellner, M. Gratzl-Michlmair, T. Ullrich, Computational geometry in the context of building information modeling. Energy and Buildings, v 115, 78-84, 2016.
[10] M. Duan, Z. Wang, X. Li, R. Wang, The determination of community building shape and analysis of influence to public building envelope cooling load. Journal of Civil, Architectural & Environmental Engineering (in Chinese), v 33, n 1, p 1-5.
[11] J. Hensen, R. Lamberts, Building performance simulation for design and operation. 2011, Spon Press, NY, USA.
[12] R. Zhao, C. Fan, D. Xue, Y. Qian, Air conditioning (the 4th version), 2009, China Architecture & Building Press, Beijing, China