This research aims to develop a bottom-up integrated supply-demand model to assess the optimal performance of urban energy systems. To this end, an optimization model founded on the principles of microeconomics was developed and deployed using mathematical programming. In this model, the urban energy system is treated as an economic actor in the market seeking to establish an effective energy system to improve its overall resource efficiency with minimum total cost of the system. The model leads the system to achieve supply and demand energy commitments which include alternative energy and energy efficiency targets. In this paper, we apply the model to address the electricity deficiency in Delhi, India, as a case study. The results suggest that the saving at the end-user level could reach about 220 GWh per annum in the near future through improving energy end-use efficiency in the domestic sector. Besides this, the installation of about 40 MW from waste-to-electricity plants and generating approximately 210 GWh electricity from the rooftop solar PV by 2030 could enable a sufficient surplus for the power supply sector to meet the city's electricity demand in the near future. Even though the system has some inherent limitations stemming from the assumptions of microeconomics and challenges related to data needs, the model can help the local actors, from governments to property owners, to find the best solutions for their energy needs. Such a modeling framework could address an organization's sustainable performance at the urban level through the resource use optimization, minimization of waste, cleaner technologies and pollution limits which are used in achieving co-benefits and a broad range of Eco-Industrial Development (EID) goals.
All Science Journal Classification (ASJC) codes
- Renewable Energy, Sustainability and the Environment
- Environmental Science(all)
- Strategy and Management
- Industrial and Manufacturing Engineering