Impacts of the morphology of new neighborhoods on microclimate and building energy

Melissa R. Allen-Dumas, Amy N. Rose, Joshua R. New, Olufemi A. Omitaomu, Jiangye Yuan, Marcia L. Branstetter, Linda M. Sylvester, Matthew B. Seals, Thomaz M. Carvalhaes, Mark B. Adams, Mahabir S. Bhandari, Som S. Shrestha, Jibonananda Sanyal, Anne S. Berres, Carl P. Kolosna, Katherine S. Fu, Alexandra C. Kahl

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In anticipation of emerging global urbanization and consequent increases in energy use and carbon dioxide emissions, better understanding and quantification of climate effects on energy use in cities are needed, requiring coordinated research into large-scale, regional, and microclimate impacts to and from the city structure. The methodology described here addresses this need by (1) demonstrating a process for creating and testing example morphologies for new neighborhoods for their impact on local and regional meteorology within a two-way-coupled four-domain nested mesoscale weather model (6 km horizontal resolution outer domain, 90 m horizontal innermost domain) and (2) allocating resulting building-level meteorological profiles to each building in a neighborhood for parallel computation of building-by-building energy use. Our Chicago Loop test case shows that the morphology of even a small new added development to a neighborhood affects not only its own microclimate, but also the microclimate of the original neighborhood to which the development was added, and that these changes in microclimate affect both neighborhoods’ building energy use. This method represents an important step toward quantifying and analyzing the relationships among climatic conditions, urban morphology, and energy use and using these relationships to inform energy-efficient urban development and planning.

Original languageEnglish
Article number110030
JournalRenewable and Sustainable Energy Reviews
Volume133
DOIs
StatePublished - Nov 2020

Funding

This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle LLC for the U.S. Department of Energy (DOE); and by the DOE Office of Science as a part of the research in Multi-Sector Dynamics within the Earth and Environmental System Modeling Program; and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the DOE Office of Science and the National Nuclear Security Administration. It used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the DOE Office of Science. This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory , managed by UT-Battelle LLC for the U.S. Department of Energy (DOE); and by the DOE Office of Science as a part of the research in Multi-Sector Dynamics within the Earth and Environmental System Modeling Program; and by the Exascale Computing Project ( 17-SC-20-SC ), a collaborative effort of the DOE Office of Science and the National Nuclear Security Administration. It used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory , which is supported by the DOE Office of Science .

FundersFunder number
DOE Office of Science
UT-Battelle LLC
U.S. Department of Energy
Office of Science17-SC-20-SC
National Nuclear Security Administration
Oak Ridge National Laboratory
UT-BattelleDE-AC05-00OR22725

    Keywords

    • Building energy use
    • Carbon dioxide emissions
    • Microclimate
    • Urban morphology

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