Conference presentation
Spatial Development and Energy Consumption Patterns: Investigating the Relationship between Urban Density and Building Energy Use
2018 Book of Accepted Abstracts ACSP Annual Conference October 25-28 Buffalo, New York, pp.54-55
ACSP
National Conference for the Association of Collegiate Schools of Planning (Buffalo New York, United States, 25 Oct 2018 - 28 Oct 2018)
25 Oct 2018
Abstract
The Integrated Urban Metabolism Analysis Tool (IUMAT) is a bottom-up quantitative framework for the assessment of resource consumption patterns and environmental impacts associated with different development scenarios at urban scales (Mostafavi, Farzinmoghadam & Hoque, 2017). In this work, within IUMAT, we study the impact of urban density on building energy consumption profiles for six different metropolitan areas in the United States. Neighborhood characteristics can influence the choices made by urban actors as well as natural urban energy flows. First, we introduce a method to classify 30x30 m cells into five categories of settlement density (high, medium and low density, suburbs, and urban fringes), using US Geological Survey’s National Land Cover Data-set (NLCD), US Census, and Census Block data (Heris, 2017). In the next step, generalized linear model (GLM) techniques are applied to energy data from Boston, Philadelphia, Austin, Denver, New York City and Los Angeles metropolitan areas to explain the links between urban density -as a major indicator of urban form- and building energy performance (Ewing & Rong, 2008; Futcher & Mills, 2013; Yamagata and Seya, 2013). By exploring the Census data from 1990 to 2010, we elaborate on the changes in the metropolitan structure (sprawl and growth rate) of the areas of interest, and provide projections about future development scenarios and their impact on energy consumption patterns in relation to settlement density and growth trends. Creating a universal urban density classification method enables us to compare the spatial structure of the six metropolitan areas and the impacts on energy use patterns. Our results show that urban density is highly correlated with energy use, but its impact is not similar across different metropolitan areas. We also discuss the challenges of improving urban density indicators to allow integrated population, physical environment, and traffic assessment
applications.
Citations
Heris, M. P. (2017). Evaluating metropolitan spatial development: a method for identifying settlement types and depicting growth patterns. Regional Studies, Regional Science, 4(1), 7-25.
Mostafavi, N., Farzinmoghadam, M., & Hoque, S. (2017). Urban residential energy consumption modeling in the Integrated Urban Metabolism Analysis Tool (IUMAT). Building and Environment, 114, 429-444.
Ewing, R., & Rong, F. (2008). The impact of urban form on US residential energy use. Housing Policy Debate, 19(1), 1-30.
Yamagata, Y., & Seya, H. (2013). Simulating a future smart city: An integrated land use-energy model. Applied Energy, 112, 1466-1474.
Futcher, J. A., & Mills, G. (2013). The role of urban form as an energy management parameter. Energy Policy, 53, 218-228.
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Details
- Title
- Spatial Development and Energy Consumption Patterns: Investigating the Relationship between Urban Density and Building Energy Use
- Creators
- Seyed Nariman Mostafavi - Drexel University, Civil, Architectural, and Environmental EngineeringMehdi Pourpeikari HerisSimi T Hoque - Drexel University, Civil, Architectural, and Environmental Engineering
- Publication Details
- 2018 Book of Accepted Abstracts ACSP Annual Conference October 25-28 Buffalo, New York, pp.54-55
- Conference
- National Conference for the Association of Collegiate Schools of Planning (Buffalo New York, United States, 25 Oct 2018 - 28 Oct 2018)
- Publisher
- ACSP
- Number of pages
- 2
- Resource Type
- Conference presentation
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Identifiers
- 991021884693204721