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A multi-layer approach for estimating the energy use intensity on an urban scale
Affiliation:1. Tuscia University, Department of Agricultural and Forestry Sciences (DAFNE), Via S. Camillo de Lellis snc, I-01100 Viterbo, Italy;2. Council for Agricultural Research and Economics (CREA), Viale Santa Margherita 80, I-52100 Arezzo, Italy;3. Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-37005 ?eské Budějovice, Czech Republic;1. Section of Urban Water Systems, Department of Environmental Engineering, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark;2. Unit of Environmental Engineering, University of Innsbruck, Innsbruck, Austria
Abstract:Various governments are planning their cities to be climate responsive by reducing the energy consumption and carbon emissions according to different scenarios whilst maintaining good indoor comfort conditions. A robust and reliable tool that can estimate the Energy Use Intensity (EUI) of a city is required. This paper presents a new bottom-up engineering-based multi-layer approach able to analyse the energy performance of existing settlements of every size by retaining as much information as possible about their complexities. The process involves i) creating a 3D model of the urban area, ii) building up templates representing different building characteristics such as functions, the age-band of the buildings and operating schedules, iii) running dynamic thermal simulations and iv) displaying the EUI or total energy demand in the 3D model which can be post-processed for further analysis. This approach offers a flexible simulation process according to various purposes, which is particularly useful in decision-making for urban energy retrofitting or planning for new areas. The hourly high-resolution outcomes would benefit the detailed analysis of energy efficiency strategies in order to achieve carbon reduction. The application of this approach is demonstrated for the case of Yuzhong district in Chongqing municipality, China.
Keywords:Energy stock model  Bottom-up approach  Multi-layer information database  Energy retrofit planning
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