TECHNICAL PAPERS
Jul 13, 2009

Inexact Community-Scale Energy Systems Planning Model

Publication: Journal of Urban Planning and Development
Volume 136, Issue 3

Abstract

Energy systems planning models are useful for supporting decisions of urban energy systems planning and environmental management. The previous studies on energy systems modeling were too aggregated to reach insight into the interactive characteristics of energy-related activities at a community level, and thus were unable to address the unique environmental and economic features associated with community-scale energy management systems. In addition, they could hardly deal with multiple uncertainties expressed as interval values and probabilistic distributions. Therefore, the objective of this study is to develop an interval-parameter chance-constraint community-scale energy systems planning model (IPC-CEM) for supporting energy and environmental systems management under uncertainty. IPC-CEM will then be applied to the planning of a community-scale energy system to demonstrate its applicability. The results indicated that the developed model had advantages in reflecting complexities of various uncertainties as well as dealing with problems of urban infrastructure development and greenhouse gas-emission management within community-scale energy management systems.

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Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 136Issue 3September 2010
Pages: 195 - 207

History

Received: Jul 4, 2008
Accepted: Jul 10, 2009
Published online: Jul 13, 2009
Published in print: Sep 2010

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Authors

Affiliations

Q. G. Lin, Ph.D.
P.Eng.
Adaptation and Impacts Research Section, Environment Canada, Regina, SK, Canada S4S 0A7; formerly, Center for Studies in Energy and Environment, Univ. of Regina, Regina, SK, Canada S4S 0A2.
G. H. Huang [email protected]
Professor and Canada Research Chair, Faculty of Engineering and Center for Studies in Energy and Environment, Univ. of Regina, Regina, SK, Canada S4S 0A2 (corresponding author). E-mail: [email protected]
Y. F. Huang, Ph.D.
P.Eng.
State Key Lab of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China.
X. D. Zhang, Ph.D.
Center for Studies in Energy and Environment, Univ. of Regina, Regina, SK, Canada S4S 0A2.

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