Sustainable urban energy-environment management with multiple objectives

We present a goal programming (GP) model designed to capture multiple objectives involved in sustainable energy-environment management in an urban area. The basic structure in the GP model is a Reference Energy System (RES) that maps the optimal flow of intermediate forms of energy from supply side...

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Veröffentlicht in:Energy (Oxford) 1996, Vol.21 (4), p.305-318
Hauptverfasser: Bose, Ranjan K., Anandalingam, G.
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container_title Energy (Oxford)
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creator Bose, Ranjan K.
Anandalingam, G.
description We present a goal programming (GP) model designed to capture multiple objectives involved in sustainable energy-environment management in an urban area. The basic structure in the GP model is a Reference Energy System (RES) that maps the optimal flow of intermediate forms of energy from supply side to demand nodes at the end use level in the four major economic sectors, viz., domestic, transport, industry, and services and commercial. The sustainability objectives include: (a) meeting minimum useful energy demand of each end use in different sectors, (b) maximizing the capacity utilization of power stations and the stock of modal fleet, (c) minimizing expenditure on energy within the budget limits, (d) minimizing emissions of different pollutants with respect to the 1990 loading, and (e) minimizing over-utilization of energy resources. The relative weights of importance of each of the goals and sub-goals have been elicited from experts using the Analytical Hierarchy Process (AHP) method. The integrated urban model is used to assist in developing an effective sectoral energy plan and is applied to the city of Delhi (India) to examine the effects in the year 2001 under two scenarios. In the first scenario, the possibilities for improving efficiency and abating pollution are ignored. The second scenario illustrates the effect on emissions by improving device, technology and economic efficiency, while reducing urban traffic congestion. Around 10% energy savings is possible in Delhi under scenario 2, with consequent emission reductions of lead (33%), CO (24%), HCs (21%), SPM (17%), SO 2 (12%), NO x , and CO 2 (10% each).
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identifier ISSN: 0360-5442
ispartof Energy (Oxford), 1996, Vol.21 (4), p.305-318
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source Elsevier ScienceDirect Journals Complete
subjects Air pollution control
Applied sciences
Demand
Economics
Energy
Energy conservation
Energy economics
Energy efficiency
Energy of formation
Energy policy
Energy use
Environmental impact
Exact sciences and technology
Expert systems
General, economic and professional studies
Management
Marketing
Mathematical models
Methodology
Methodology. Modelling
Nodes
Optimization
Q1
Sustainability
Urban areas
Urban planning
title Sustainable urban energy-environment management with multiple objectives
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