Journal ArticleDOI
Development of an optimization model for energy systems planning in the Region of Waterloo
TLDR
Results indicate that UREM can help tackle dynamic and interactive characteristics of the energy management system in the Region of Waterloo and can address issues concerning cost-effective allocation of energy resources and services.Abstract:
In this study, a large-scale dynamic optimization model (University of Regina Energy Model, UREM) has been developed for supporting long-term energy systems planning in the Region of Waterloo. The model can describe energy management systems as networks of a series of energy flows, transferring extracted/imported energy resources to end users through a variety of conversion and transmission technologies over a number of periods. It can successfully incorporate optimization models, scenario development and policy analysis within a general framework. Complexities in energy management systems can be systematically reflected; thus, the applicability of the modeling process can be highly enhanced. Four scenarios (including a reference case) are considered based on different energy management policies and sustainable development strategies for in-depth analysis of interactions existing among energy, socio-economy and environment in the Region. Useful solutions for the planning of energy management systems have been generated, reflecting trade-offs among energy-related, environmental and economic considerations. They are helpful for supporting (a) adjustment or justification of the existing allocation patterns of energy resources and services, (b) allocations of renewable energy resources, (c) formulation of local policies regarding energy consumption, economic development and energy structure, and (d) analysis of interactions among economic cost, system efficiency, emission mitigation and energy-supply security. Results also indicate that UREM can help tackle dynamic and interactive characteristics of the energy management system in the Region of Waterloo and can address issues concerning cost-effective allocation of energy resources and services. Thus, it can be used by decision makers as an effective technique in examining and visualizing impacts of energy and environmental policies, regional/community development strategies and emission reduction measures within an integrated and dynamic framework. Copyright © 2008 John Wiley & Sons, Ltd.read more
Citations
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Journal ArticleDOI
An optimization-model-based interactive decision support system for regional energy management systems planning under uncertainty
TL;DR: The UREM-IDSS can be used by decision makers as an effective technique in examining and visualizing impacts of energy and environmental policies, regional/community development strategies, emission reduction measures, and climate change within an integrated and dynamic framework.
Journal ArticleDOI
Planning regional energy system in association with greenhouse gas mitigation under uncertainty
Yang Li,Guohe Huang,Xurong Chen +2 more
TL;DR: In this article, an integrated fuzzy-stochastic optimization model (IFOM) is developed for planning energy systems in association with GHG mitigation, where multiple uncertainties presented as probability distributions, fuzzy-intervals and their combinations are allowed to be incorporated within the framework of IFOM, and the developed method is then applied to a case study of long-term planning of a regional energy system, where integer programming (IP) technique is introduced into the IFOM to facilitate dynamic analysis for capacity-expansion planning of energy-production facilities within a multistage context to satisfy
Journal ArticleDOI
Identification of optimal strategies for improving eco-resilience to floods in ecologically vulnerable regions of a wetland
TL;DR: A mixed integer fuzzy interval-stochastic programming model was developed for supporting the improvement of eco-resilience to floods in wetlands and indicates that the model is helpful for supporting adjustment or justification of allocation patterns of ecological flood-resisting capacities, and analysis of interactions among multiple administrative targets within a wetland.
Journal ArticleDOI
Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment
TL;DR: In this article, an interval-parameter superiority-inferiority-based two-stage programming model has been developed for supporting community-scale renewable energy management (ISITSP-CREM).
Journal ArticleDOI
An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city
TL;DR: This model was based on the integration of multiple inexact optimization techniques, including interval-parameter programming, mixed-integer programming and chance-constrained programming, which make it have strength in dealing with uncertainties presented as both probabilistic distributions and interval numbers.
References
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