SUSTAINABLE URBAN ENERGY-ENVIRONMENT MANAGEMENT WITH MULTIPLE OBJECTIVES

Citation
Rk. Bose et G. Anandalingam, SUSTAINABLE URBAN ENERGY-ENVIRONMENT MANAGEMENT WITH MULTIPLE OBJECTIVES, Energy, 21(4), 1996, pp. 305-318
Citations number
25
Categorie Soggetti
Energy & Fuels","Engineering, Chemical
Journal title
EnergyACNP
ISSN journal
03605442
Volume
21
Issue
4
Year of publication
1996
Pages
305 - 318
Database
ISI
SICI code
0360-5442(1996)21:4<305:SUEMWM>2.0.ZU;2-H
Abstract
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 ener gy from supply side to demand nodes at the end use level in the four m ajor economic sectors, viz., domestic, transport, industry, and servic es and commercial. The sustainability objec tives 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 re sources. The relative weights of importance of each of the goals and s ub-goals have been elicited from experts using the Analytical Hierarch y Process (AHP) method. The integrated urban model is used to assist i n developing an effective sectoral energy plan and is applied to the c ity of Delhi (India) to examine the effects in the year 2001 under two scenarios. In the first scenario, the possibilities for improving eff iciency and abating pollution are ignored. The second scenario illustr ates the effect on emissions by improving device, technology and econo mic efficiency, while reducing urban traffic congestion. Around 10% en ergy savings is possible in Delhi under scenario 2, with consequent em ission reductions of lead (33%), CO (24%), HCs (21%), SPM (17%), SO2 ( 12%), NOx, and CO2 (10% each).