Modeling, optimization, and decision support for integrated urban and infrastructure planning

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Abstract/Contents

Abstract
Reducing the energy consumption and associated greenhouse gas emissions of urban areas is paramount in research and practice. As the urban population grows to 6.2 billion people in 2050, advancing the practice of urban and energy infrastructure planning to enable livable, low-carbon growth is essential. Despite this imperative, prior approaches to urban and infrastructure planning have failed to connect analytical models of energy performance with planning and infrastructure decisions on building use, form, and energy supply. This dissertation introduces a new approach to integrated urban and energy infrastructure planning that is based on desired municipal outcomes, and uses a novel optimization and analysis model for early-stage urban and infrastructure planning decisions. The model developed to facilitate this planning approach is capable of simultaneously evaluating and optimizing energy supply technologies, individual building mix and form, and site layout. Case studies for neighborhoods in Oakland, CA, and San Francisco, CA, are used to show how this model-driven, outcome-based planning approach can be used by policymakers to evaluate policy options. It is shown that the model has value as a decision support tool by enabling identification of statistically significant differences between potential outcomes of municipal planning and investment decisions. Furthermore, the model is shown to have value in identifying patterns of development that lead to lower carbon emissions and improved municipal economic outcomes.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2016
Issuance monographic
Language English

Creators/Contributors

Associated with Best, Robert Edward
Associated with Stanford University, Department of Civil and Environmental Engineering.
Primary advisor Lepech, Michael
Thesis advisor Lepech, Michael
Thesis advisor Brandt, Adam (Adam R.)
Thesis advisor Fischer, Martin, 1960 July 11-
Advisor Brandt, Adam (Adam R.)
Advisor Fischer, Martin, 1960 July 11-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Robert Edward Best.
Note Submitted to the Department of Civil and Environmental Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2016.
Location electronic resource

Access conditions

Copyright
© 2016 by Robert Edward Best
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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