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Journal ArticleDOI

An optimization-model-based interactive decision support system for regional energy management systems planning under uncertainty

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TLDR
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.
Abstract
In this study, an interactive decision support system (UREM-IDSS) has been developed based on an inexact optimization model (UREM, University of Regina Energy Model) to aid decision makers in planning energy management systems. Optimization modeling, scenario development, user interaction, policy analysis and visual display are seamlessly integrated into the UREM-IDSS. Uncertainties in energy-related parameters are effectively addressed through the interval linear programming (ILP) approach, improving the robustness of the UREM-IDSS for real-world applications. Thus, it can be used as an efficient tool for analyzing and visualizing impacts of energy and environmental policies, regional/community sustainable development strategies, emission reduction measures and climate change in an interactive, flexible and dynamic context. The Region of Waterloo has been selected to demonstrate the applicability and capability of the UREM-IDSS. A variety of scenarios (including a reference case) have been identified 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 complex tradeoffs among energy-related, environmental and economic considerations. Results indicate that the UREM-IDSS can be successfully used for evaluating and analyzing not only the effects of an individual policy scenario, but also the variations between different scenarios compared with a reference case. Also, the UREM-IDSS 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, emission reduction measures, and climate change within an integrated and dynamic framework.

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A review of computer tools for analysing the integration of renewable energy into various energy systems

TL;DR: In this paper, a review of the different computer tools that can be used to analyse the integration of renewable energy is presented, and the results in this paper provide the information necessary to identify a suitable energy tool for analysing the integration into various energy-systems under different objectives.
Journal ArticleDOI

Identification of optimal strategies for energy management systems planning under multiple uncertainties

TL;DR: In this paper, a fuzzy-random interval programming (FRIP) model is proposed to identify optimal strategies in the planning of energy management systems under multiple uncertainties through the development of a FRIP model, which is based on an integration of the existing interval linear programming, superiority-inferiority-based fuzzy-stochastic programming (SI-FSP) and mixed integer linear programming (MILP).
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Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions

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Planning and Scheduling under Uncertainty: A Review Across Multiple Sectors

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BookDOI

Green Energy and Technology

TL;DR: Green Energy and Technology as discussed by the authors is a monograph series for scientific and technological approaches to "green" i.e., environmentally friendly and sustainable technologies, focusing on energy and power supply, while a focus lies on green solutions in industrial engineering and engineering design.
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