Building simulation: Ten challenges
Abstract
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. In conclusion, 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.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Building Technology and Urban Systems Division
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
- OSTI Identifier:
- 1440007
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Building Simulation
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 5; Journal ID: ISSN 1996-3599
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; building energy use; energy efficiency; building performance simulation; energy modeling; building life cycle; zero-net-energy buildings
Citation Formats
Hong, Tianzhen, Langevin, Jared, and Sun, Kaiyu. Building simulation: Ten challenges. United States: N. p., 2018.
Web. doi:10.1007/s12273-018-0444-x.
Hong, Tianzhen, Langevin, Jared, & Sun, Kaiyu. Building simulation: Ten challenges. United States. https://doi.org/10.1007/s12273-018-0444-x
Hong, Tianzhen, Langevin, Jared, and Sun, Kaiyu. Thu .
"Building simulation: Ten challenges". United States. https://doi.org/10.1007/s12273-018-0444-x. https://www.osti.gov/servlets/purl/1440007.
@article{osti_1440007,
title = {Building simulation: Ten challenges},
author = {Hong, Tianzhen and Langevin, Jared and Sun, Kaiyu},
abstractNote = {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. In conclusion, 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.},
doi = {10.1007/s12273-018-0444-x},
journal = {Building Simulation},
number = 5,
volume = 11,
place = {United States},
year = {Thu Apr 12 00:00:00 EDT 2018},
month = {Thu Apr 12 00:00:00 EDT 2018}
}
Web of Science
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Works referencing / citing this record:
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