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This content will become publicly available on November 13, 2018

Title: Modeling urban building energy use: A review of modeling approaches and procedures

With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. Our paper aims to provide an up-to-date review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. We then follow this with a discussion of challenging issues associated with model preparation and calibration.
Authors:
 [1] ;  [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [6]
  1. Iowa State Univ., Ames, IA (United States). Dept. of Geological and Atmospheric Sciences
  2. Iowa State Univ., Ames, IA (United States). Dept. of Civil, Construction and Environmental Engineering
  3. Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of). Business School
  4. Iowa State Univ., Ames, IA (United States). Dept. of Political Science
  5. Univ. of North Carolina, Chapel Hill, NC (United States). Dept. of Geography and Earth Sciences
  6. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Inst.
Publication Date:
Report Number(s):
PNNL-SA-129914
Journal ID: ISSN 0360-5442; PII: S0360544217319291
Grant/Contract Number:
AC05-76RL01830
Type:
Accepted Manuscript
Journal Name:
Energy (Oxford)
Additional Journal Information:
Journal Name: Energy (Oxford); Journal Volume: 141; Journal ID: ISSN 0360-5442
Publisher:
Elsevier
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; urban building energy use; top-down approaches; bottom-up approaches; energy modeling geospatial techniques
OSTI Identifier:
1413489