| Title |
Demand-side characterization of the Smart City for energy modelling |
| ID_Doc |
40499 |
| Authors |
Turner, WJN; Kinnane, O; Basu, B |
| Title |
Demand-side characterization of the Smart City for energy modelling |
| Year |
2014 |
| Published |
|
| DOI |
10.1016/j.egypro.2014.12.377 |
| Abstract |
This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities. (C) 2014 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/3.0/). |
| Author Keywords |
Smart cities; energy modelling; building simulation; building characterisation; master-planning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000355734100016 |
| WoS Category |
Construction & Building Technology; Energy & Fuels |
| Research Area |
Construction & Building Technology; Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.egypro.2014.12.377
|