Building simulation: Ten challenges

被引:137
作者
Hong, Tianzhen [1 ]
Langevin, Jared [1 ]
Sun, Kaiyu [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA
关键词
building energy use; energy efficiency; building performance simulation; energy modeling; building life cycle; zero-net-energy buildings; ENERGY-MODEL CALIBRATION; OCCUPANT BEHAVIOR; FAULT-DETECTION; PERFORMANCE SIMULATION; POSTOCCUPANCY EVALUATION; BAYESIAN CALIBRATION; PREDICTIVE CONTROL; COMMERCIAL BUILDINGS; ADAPTIVE OCCUPANT; RETROFIT ANALYSIS;
D O I
10.1007/s12273-018-0444-x
中图分类号
O414.1 [热力学];
学科分类号
摘要
Buildings consume more than one-third of the world's primary energy. Reducing energy use and greenhouse-gas emissions in the buildings sector through energy conservation and efficiency improvements constitutes a key strategy for achieving global energy and environmental goals. Building performance simulation has been increasingly used as a tool for designing, operating and retrofitting buildings to save energy and utility costs. However, opportunities remain for researchers, software developers, practitioners and policymakers to maximize the value of building performance simulation in the design and operation of low energy buildings and communities that leverage interdisciplinary approaches to integrate humans, buildings, and the power grid at a large scale. This paper presents ten challenges that highlight some of the most important issues in building performance simulation, covering the full building life cycle and a wide range of modeling scales. The formulation and discussion of each challenge aims to provide insights into the state-of-the-art and future research opportunities for each topic, and to inspire new questions from young researchers in this field.
引用
收藏
页码:871 / 898
页数:28
相关论文
共 256 条
  • [11] [Anonymous], 2018, EXPLORING OCCUPANT B, DOI DOI 10.1007/978-3-319-61464-9
  • [12] [Anonymous], 2018, TRANSPORTATION UTILI
  • [13] [Anonymous], 2017, Technology, P1, DOI DOI 10.1787/ENERGY_TECH-2017-EN
  • [14] [Anonymous], REV METHODS FORECAST
  • [15] [Anonymous], 2004, P INT C IMPR EN EFF
  • [16] ANSI/ASHRAE, 2014, ASHRAE GUID 14 2014
  • [17] Argonne National Laboratory, 2018, NEK5000 ARG NAT LAB
  • [18] Arup, 2012, TECHN FEAS ZER NET E
  • [19] Improving occupants' satisfaction with effective maintenance management of HVAC system in office buildings
    Au-Yong, Cheong Peng
    Ali, Azlan Shah
    Ahmad, Faizah
    [J]. AUTOMATION IN CONSTRUCTION, 2014, 43 : 31 - 37
  • [20] Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings
    Azar, Elie
    Menassa, Carol C.
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2012, 26 (04) : 506 - 518