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ItemGovernance and networks for health co-benefits of climate change mitigation: Lessons from two Indian cities(Elsevier Ltd, 2016) Oliveira, José Antônio Puppim de; Doll, Christopher N. H.Health has been the main driver for many urban environmental interventions, particularly in cases of significant health problems linked to poor urban environmental conditions. This paper examines empirically the links between climate change mitigation and health in urban areas, when health is the main driver for improvements. The paper aims to understand how systems of urban governance can enable or prevent the creation of health outcomes via continuous improvements in the environmental conditions in a city. The research draws on cases from two Indian cities where initiatives were undertaken in different sectors: Surat (waste) and Delhi (transportation). Using the literature on network effectiveness as an analytical framework, the paper compares the cases to identify the possible ways to strengthen the governance and policy making process in the urban system so that each intervention can intentionally realize multiple impacts for both local health and climate change mitigation in the long term as well as factors that may pose a threat to long-term progress and revert back to the previous situation after initial achievements. © 2016 Elsevier Ltd ItemAn integrated supply-demand model for the optimization of energy flow in the urban system(Elsevier Sci Ltd, 2016-02-15) Farzaneh, Hooman; Doll, Christopher N. H.; Oliveira, José Antônio Puppim deThis 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. (C) 2015 Elsevier Ltd. All rights reserved.