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Title: Development of a Bottom-up Technology Assessment Model for Assessing the Low Carbon Energy Scenarios in the Urban System
Authors: Farzaneh, Hooman
Keywords: Asian cities
energy systems
low carbon society
optimization model
Issue Date: Feb-2017
Publisher: Elsevier Ltd
Journal title: Energy Procedia
Volume: 107
Start page: 321
End page: 326
Abstract: This paper explores an approach based on a systematic-integrated modeling framework which helps to investigate the optimal behavior of an urban energy system. The model allows us to: 1) analyze the impacts of various demographic scenarios, 2) test and evaluate different policy measures for deploying patterns of efficient use of energy resources and emissions mitigation in the system and 3) test technological and system level solutions such as centralized versus decentralized energy supply networks. A highly resolved optimization technique using mathematical programming is applied to identify the cost-effective measures for achieving specific energy and emissions reduction-targets. The model then is applied to identify the optimal energy flow from available energy resources (Fossil, Renewable and external sources) to the end-user level in selected cities of Asia.
Rights: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
URI: http://hdl.handle.net/2433/226309
DOI(Published Version): 10.1016/j.egypro.2016.12.163
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