Automatic Simplification of Complex Building Geometry for Whole-building Energy Simulations

被引:1
|
作者
Santos, Luis [1 ,2 ]
Schleicher, Simon [1 ]
Caldas, Luisa [1 ,3 ]
机构
[1] Univ Calif Berkeley, Coll Environm Design, Dept Architecture, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Ctr Built Environm, Berkeley, CA 94720 USA
[3] Lawrence Berkeley Lab, Berkeley, CA USA
关键词
PERFORMANCE;
D O I
10.26868/25222708.2019.210991
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The energy simulation of buildings with complex curved envelopes is still a difficult task. Although an accurate building representation is desirable for energy analysis, a refined mesh representation of (double)curved facades still requires a significant modeling effort for building energy simulation and in most cases the resulting models entail a simulation overhead that is incompatible with design times. This becomes more relevant in fully automated parametric and building energy optimization studies, where a computer program is responsible to instantiate several variations of a building energy model from parametric conceptual building masses. In such settings, it is mandatory that the generated simulation models are valid (i.e., without errors and with accurate building representation) and it is desirable that they are efficient (i.e., fast to run). To answer these challenges, this paper presents a computational tool that automatically simplifies the geometry of complex curved building envelopes for energy simulation. The tool is based on two heuristics - one that post-rationalizes building surfaces and another that samples large energy models and isolate and simulate their most representative parts. We tested our approach in two building masses with complex curved envelopes. The results show that the two heuristics, either combined or applied separately, are able to generate valid and fast building energy models with minimal impact on simulation output.
引用
收藏
页码:2691 / 2698
页数:8
相关论文
共 50 条
  • [21] Measuring whole-building performance with dynamic LCA: a case study of a green university building
    Collinge, William O.
    DeBlois, Justin C.
    Sweriduk, Michael E.
    Landis, Amy E.
    Jones, Alex K.
    Schaefer, Laura A.
    Bilee, Melissa M.
    INTERNATIONAL SYMPOSIUM ON LIFE CYCLE ASSESSMENT AND CONSTRUCTION: CIVIL ENGINEERING AND BUILDINGS, 2012, 86 : 309 - 317
  • [22] Software interoperability in support of whole-building performance assurance
    Hitchcock, RJ
    JOURNAL OF ARCHITECTURAL AND PLANNING RESEARCH, 2004, 21 (04) : 303 - 311
  • [23] Application of a Whole-Building Hygrothermal model in energy, durability, and indoor humidity retrofit design
    Tariku, Fitsum
    Kumaran, Kumar
    Fazio, Paul
    JOURNAL OF BUILDING PHYSICS, 2015, 39 (01) : 3 - 34
  • [24] Implementation of the equivalent-homogeneous-layers-set method in whole-building simulations: Experimental validation
    Barrios, G.
    Rojas, J.
    Huelsz, G.
    Tovar, R.
    Jalife, S.
    APPLIED THERMAL ENGINEERING, 2017, 125 : 35 - 40
  • [25] Whole-building dispersion after internal release in an of tracer gas administrative/classroom building
    Underwood, David M.
    Herron, Dale L.
    Croisant, William J.
    ASHRAE TRANSACTIONS 2007 VOL 113, PT 2, 2007, 113 : 457 - 465
  • [26] The development of standardized whole-building simulation assumptions for energy analysis for a set of commercial buildings
    Stock, Michael
    Curcija, D. Charlie
    Bhandari, Mahabir S.
    ASHRAE TRANSACTIONS 2007 VOL 113, PT 2, 2007, 113 : 422 - 435
  • [27] Whole-building commercial HVAC system simulation for use in energy consumption fault detection
    Lee, Seung Uk
    Painter, Frank L.
    Claridge, David E.
    ASHRAE TRANSACTIONS 2007 VOL 113, PT 2, 2007, 113 : 52 - 61
  • [28] An ice rink floor thermal model suitable for whole-building energy simulation analysis
    Mun, Junghyon
    Krarti, Moncef
    BUILDING AND ENVIRONMENT, 2011, 46 (05) : 1087 - 1093
  • [29] Whole-building energy simulation analysis and optimization of residential building equipped with air-duct system in three different regions
    Zarmehr, Arash
    Kider, Joseph T., Jr.
    PROCEEDINGS OF BUILDING SIMULATION 2021: 17TH CONFERENCE OF IBPSA, 2022, 17 : 2963 - 2970
  • [30] 3D finite element analysis of the whole-building behavior of tall building in fire
    Fu, Feng
    ADVANCES IN COMPUTATIONAL DESIGN, 2016, 1 (04): : 329 - 344