Advances in building simulation and computational techniques: A review between 1987 and 2014

被引:126
作者
Wang, Haidong [1 ]
Zhai, Zhiqiang [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Environm & Architecture, 516 Jungong Rd, Shanghai 200093, Peoples R China
[2] Univ Colorado, Dept Civil Environm & Architectural Engn, UCB 428,ECOT 441, Boulder, CO 80309 USA
基金
中国国家自然科学基金;
关键词
Building simulation; Modeling technique; Review; LIFE-CYCLE ASSESSMENT; MODELING PARTICLE DISPERSION; PREDICTING AIR-FLOW; FLUID-DYNAMICS CFD; NATURAL VENTILATION; INDOOR ENVIRONMENT; ZONAL MODEL; DAYLIGHT ILLUMINANCE; ENERGY-CONSUMPTION; ASSESSMENT LCA;
D O I
10.1016/j.enbuild.2016.06.080
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Computer simulation for buildings has become affordable and possible in both research and industry during the last decades with rapid progress of computer industry as well as fundamental advancement of computational techniques. This paper provides an overview of such advancements achieved between 1987 and 2014, during which Professor Branko Todorovich served as Editor in Chief of Energy and Buildings Journal. The review, however, was not restricted to this journal only, in order to provide a fair snapshot on overall technique advances. Simulation and computational techniques cover a variety of aspects of building. This paper focuses specifically on six different topics including ventilation performance prediction, whole building energy and thermal load simulation, lighting and daylighting modeling, building information modeling, indoor acoustic simulation, and life cycle analysis of buildings. Major advances in each area are highlighted, as well as the trends for development and application. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:319 / 335
页数:17
相关论文
共 233 条
[1]   Improving the prediction of zonal modeling for forced convection airflows in rooms [J].
Abadie, M. O. ;
de Camargo, M. M. ;
Mendonca, K. C. ;
Blondeau, P. .
BUILDING AND ENVIRONMENT, 2012, 48 :173-182
[2]   Towards an Analysis of Daylighting Simulation Software [J].
Acosta, Ignacio ;
Navarro, Jaime ;
Sendra, Juan J. .
ENERGIES, 2011, 4 (07) :1010-1024
[3]   Computer-aided building energy analysis techniques [J].
Al-Homoud, MS .
BUILDING AND ENVIRONMENT, 2001, 36 (04) :421-433
[4]   A conservative adaptive projection method for the variable density incompressible Navier-Stokes equations [J].
Almgren, AS ;
Bell, JB ;
Colella, P ;
Howell, LH ;
Welcome, ML .
JOURNAL OF COMPUTATIONAL PHYSICS, 1998, 142 (01) :1-46
[5]   Utilizing transfer function method for hourly cooling load calculations [J].
AlRabghi, OMA ;
AlJohani, KM .
ENERGY CONVERSION AND MANAGEMENT, 1997, 38 (04) :319-332
[6]  
Amor R., 1995, Automation in Construction, V4, P173, DOI 10.1016/0926-5805(95)00003-J
[7]   Airflow rates by combined natural ventilation with opposing wind-unambiguous solutions for practical use [J].
Andersen, Karl Terpager .
BUILDING AND ENVIRONMENT, 2007, 42 (02) :534-542
[8]   Theory for natural ventilation by thermal buoyancy in one zone with uniform temperature [J].
Andersen, KT .
BUILDING AND ENVIRONMENT, 2003, 38 (11) :1281-1289
[9]   An intuitive daylighting performance analysis and optimization approach [J].
Andersen, Marilyne ;
Kleindienst, Sian ;
Yi, Lu ;
Lee, Jaime ;
Bodart, Magali ;
Cutler, Barbara .
BUILDING RESEARCH AND INFORMATION, 2008, 36 (06) :593-607
[10]   A review on simulation-based optimization methods applied to building performance analysis [J].
Anh-Tuan Nguyen ;
Reiter, Sigrid ;
Rigo, Philippe .
APPLIED ENERGY, 2014, 113 :1043-1058