Abstract
Sustainable energy planning of cities is a complex problem which should address the comparative analysis of alternative future energy scenarios form a social, economic and environmental point of view. In this regard, the development of methods and tools to allow building energy demand characterization of large areas is becoming one of the main challenges in this field. New studies focused on the energy diagnosis of districts and cities with different location and climatic conditions are necessary to calibrate current methods and assumptions, as well as for the replication of the validated method in other cities around the globe. This paper provides a comparative analysis of the results obtained during the sensitivity assessment of a specific tool for the building energy demand characterization at city scale developed by Tecnalia in the European research project PlanHeat for four different European cities. During this calibration process, the influence of the main parameters that can be adjusted within the tool is evaluated and discussed. Results show that the relevance of adjusting properly each parameter varies depending on the climate zone of the city evaluated and other characteristics of the conjunction of buildings included in each district.
Original language | English |
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Pages (from-to) | 181-188 |
Number of pages | 8 |
Journal | Energy Procedia |
Volume | 147 |
DOIs | |
Publication status | Published - Aug 2018 |
Event | 2018 International Scientific Conference on Environmental and Climate Technologies, CONECT 2018 - Riga, Latvia Duration: 16 May 2018 → 18 May 2018 |
Keywords
- District energy mapping
- Cadastral data
- Sensitivity assessment
- Influence coefficient
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/723757/EU/Integrated tool for empowering public authorities in the development of sustainable plans for low carbon heating and cooling/Planheat
- info:eu-repo/grantAgreement/EC/H2020/731297/EU/Smart Transition of EU cities towards a new concept of smart Life and Economy/mySMARTLife
- Funding Info
- The work described in this article is partially funded by the PLANHEAT project, Grant Agreement Number _x000D_ 723757, 2016-2019, as part of the call H2020-EE-2016-RIA-IA and by the mySMARTLife project, Grant Agreement _x000D_ Number 731297, 2016-2021, as part of the call H2020-SCC-2016. The file work for this study was conducted thanks _x000D_ to the active collaboration of the Energy and Environment department of the municipality of Antwerp, the Climate _x000D_ and Environmental Management of the municipality of Helsinki, the Department SMARTCity and Innovation and _x000D_ Department Spatial Basic Infrastructure of the municipality of Hamburg and to the Research, Innovation and Higher _x000D_ Education Department of the municipality of Nantes Métropole.