Inexact Community-Scale Energy Systems Planning Model

被引:11
作者
Lin, Q. G. [2 ,3 ]
Huang, G. H. [1 ,2 ]
Huang, Y. F. [4 ]
Zhang, X. D. [2 ]
机构
[1] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada
[2] Univ Regina, Ctr Energy & Environm Studies, Regina, SK S4S 0A2, Canada
[3] Environm Canada, Adaptat & Impacts Res Sect, Regina, SK S4S 0A7, Canada
[4] Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
关键词
Climate change; Environment; GHG-emission; Interval-parameter; Uncertainty; Urban planning; Urban community; Energy systems; MANAGEMENT; UNCERTAINTY; CITY;
D O I
10.1061/(ASCE)UP.1943-5444.0000017
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:195 / 207
页数:13
相关论文
共 26 条
[1]   Emissions trading and technology deployment in an energy-systems "bottom-up" model with technology learning [J].
Barreto, L ;
Kypreos, S .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 158 (01) :243-261
[2]   Development of an optimization model for energy systems planning in the Region of Waterloo [J].
Cai, Y. P. ;
Huang, G. H. ;
Yang, Z. F. ;
Lin, Q. G. ;
Bass, B. ;
Tan, Q. .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2008, 32 (11) :988-1005
[3]  
CHARNES A, 1972, CHANCE CONSTRAINED P, V391, P402
[4]   Metabolism of neighborhoods [J].
Codoban, Natalia ;
Kennedy, Christopher A. .
JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2008, 134 (01) :21-31
[5]   Life Cycle Analysis of Fuel Cell Technology [J].
Dhanushkodi, S. R. ;
Mahinpey, N. ;
Srinivasan, A. ;
Wilson, M. .
JOURNAL OF ENVIRONMENTAL INFORMATICS, 2008, 11 (01) :36-44
[6]  
FISHBONE LG, 1983, LINEAR PROGRAMMING M
[7]   IPWM: An interval parameter water quality management model [J].
Huang, GH .
ENGINEERING OPTIMIZATION, 1996, 26 (02) :79-103
[8]   GREY QUADRATIC-PROGRAMMING AND ITS APPLICATION TO MUNICIPAL SOLID-WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY [J].
HUANG, GH ;
BAETZ, BW .
ENGINEERING OPTIMIZATION, 1995, 23 (03) :201-223
[9]   Capacity planning for an integrated waste management system under uncertainty: A North American case study [J].
Huang, GH ;
Baetz, BW ;
Patry, GG ;
Terluk, V .
WASTE MANAGEMENT & RESEARCH, 1997, 15 (05) :523-546
[10]   A hybrid inexact-stochastic water management model [J].
Huang, GH .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 107 (01) :137-158