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Sustainable urban energy-environment management with multiple objectives

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  • Bose, Ranjan K.
  • Anandalingam, G.

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 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%), SO2 (12%), NOx, and CO2 (10% each).

Suggested Citation

  • Bose, Ranjan K. & Anandalingam, G., 1996. "Sustainable urban energy-environment management with multiple objectives," Energy, Elsevier, vol. 21(4), pages 305-318.
    • Handle: RePEc:eee:energy:v:21:y:1996:i:4:p:305-318
    DOI: 10.1016/0360-5442(95)00098-4
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    Cited by:

    1. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    2. Kuang-Sheng Liu & Sung-Lin Hsueh & Wen-Chen Wu & Yu-Lung Chen, 2012. "A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings," Energies, MDPI, vol. 5(11), pages 1-19, November.
    3. San Cristóbal, José Ramón, 2012. "A goal programming model for environmental policy analysis: Application to Spain," Energy Policy, Elsevier, vol. 43(C), pages 303-307.
    4. Li, G.C. & Huang, G.H. & Lin, Q.G. & Zhang, X.D. & Tan, Q. & Chen, Y.M., 2011. "Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management," Energy, Elsevier, vol. 36(5), pages 3388-3398.
    5. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    6. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    7. Sampaio, Henrique César & Dias, Rubens Alves & Balestieri, José Antônio Perrella, 2013. "Sustainable urban energy planning: The case study of a tropical city," Applied Energy, Elsevier, vol. 104(C), pages 924-935.

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