THE INFLUENCES OF URBAN FORMS ON RESIDENTIAL ENERGY CONSUMPTION: A DEMAND-SIDE FORECASTING METHOD FOR ENERGY SCENARIOS

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Ali, A. (2012). THE INFLUENCES OF URBAN FORMS ON RESIDENTIAL ENERGY CONSUMPTION: A DEMAND-SIDE FORECASTING METHOD FOR ENERGY SCENARIOS. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Current trends in energy demand impose increasing stress on the socio-ecological state of developed countries like the U.S. A major challenge lies in how to efficiently manage energy resources in a sustainable way to protect the environment. Various forecasting approaches have been developed to predict energy demand trends. These approaches have not investigated the influence of urban form on household energy consumption. This research combines one of the forecasting methods with sustainable development practices to predict possible energy demand based on different spatial housing forms (compact and dense, mixed uses, and low density).The research has five objectives; the first is to develop a spatial Planning Support System (PSS) to forecast residential energy consumption. The PSS is integrated with an existing urban simulation model called the Charlotte Land Use and Economic Simulator (CLUES). The second objective is to develop a statistical operational model of household energy consumption that accounts for socio-economic, geometric, spatial, and macroeconomic condition determinants. Inserted in the PSS, this model serves to forecast consumption under a series of scenarios that account for various policies in urban development, environmental protection, and green technology applications at fine (household) through coarse (traffic analysis zone) resolutions, over short- and long-terms. The third and fourth objectives assess the contribution of the geometries factors and the condition and socio-economic variables, respectively, to various alternatives of residential energy consumption. The fifth objective is to assess the consequences of different scenarios on social equity and energy share per household across population groups. The research is conducted in Mecklenburg County over the 2008-2037 horizon. It determines the suitable system architecture of the developed PSS, and finds the drivers that have significant impacts on residential energy consumption. In addition, the study examines the magnitude of different sustainable policies on household energy consumption and population groups. The expected outcome is an enhanced understanding of the energy implications of various policy and planning strategies at the local, regional, and national scales, in the context of various possible future contexts.

Details
Author

Ali, Amr

Title

THE INFLUENCES OF URBAN FORMS ON RESIDENTIAL ENERGY CONSUMPTION: A DEMAND-SIDE FORECASTING METHOD FOR ENERGY SCENARIOS

Physical Description

1 online resource (164 pages) : PDF

Date

2012

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Current trends in energy demand impose increasing stress on the socio-ecological state of developed countries like the U.S. A major challenge lies in how to efficiently manage energy resources in a sustainable way to protect the environment. Various forecasting approaches have been developed to predict energy demand trends. These approaches have not investigated the influence of urban form on household energy consumption. This research combines one of the forecasting methods with sustainable development practices to predict possible energy demand based on different spatial housing forms (compact and dense, mixed uses, and low density).The research has five objectives; the first is to develop a spatial Planning Support System (PSS) to forecast residential energy consumption. The PSS is integrated with an existing urban simulation model called the Charlotte Land Use and Economic Simulator (CLUES). The second objective is to develop a statistical operational model of household energy consumption that accounts for socio-economic, geometric, spatial, and macroeconomic condition determinants. Inserted in the PSS, this model serves to forecast consumption under a series of scenarios that account for various policies in urban development, environmental protection, and green technology applications at fine (household) through coarse (traffic analysis zone) resolutions, over short- and long-terms. The third and fourth objectives assess the contribution of the geometries factors and the condition and socio-economic variables, respectively, to various alternatives of residential energy consumption. The fifth objective is to assess the consequences of different scenarios on social equity and energy share per household across population groups. The research is conducted in Mecklenburg County over the 2008-2037 horizon. It determines the suitable system architecture of the developed PSS, and finds the drivers that have significant impacts on residential energy consumption. In addition, the study examines the magnitude of different sustainable policies on household energy consumption and population groups. The expected outcome is an enhanced understanding of the energy implications of various policy and planning strategies at the local, regional, and national scales, in the context of various possible future contexts.

Genre

doctoral dissertations

Subjects--Topics

Power resources
Geography
City planning

Degree

Ph.D.

Keywords

Energy Demand Forecasting
Green Energy Policies
Planning Support System
Residential Energy Demand
Sustainable Development
Urban Form

Subject Area

Geography & Urban Regional Analysis

Advisor(s)

Thill, Jean-Claude

Committee Members

Campbell, Harrison
Moore, Tyrel
Ravindran, Arun

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2012.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Ali_uncc_0694D_10404

Permalink

http://hdl.handle.net/20.500.13093/etd:1449