Evaluation of district heating potential at the territorial scale: validation of the BRUSA model

Chiara Monzani, Giulio Cerino Abdin, Alberto Poggio and Giulia Montanari

Energy, 2025, vol. 330, issue C

Abstract: The study presents the BRUSA model, a scalable and replicable tool for estimating the annual heat demand of larger residential buildings stock using national census data. Unlike traditional bottom-up models, it calculates energy demand at the individual building level without relying on archetypes. The model incorporates specific details about building geometry, wall construction, heating systems and energy performance assumptions based on building construction periods and applicable regulations. This methodology ensures a simple yet efficient representation of energy demand, making large-scale energy planning more practical.

Keywords: Building energy modelling; Decarbonization; District heating system; Spatial energy planning; Thermal demand estimation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225024703
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:330:y:2025:i:c:s0360544225024703

DOI: 10.1016/j.energy.2025.136828

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().