A GIS-Based Procedure for Estimating the Energy Demand Profiles of Buildings towards Urban Energy Policies

Simone Ferrari, Federica Zagarella, Paola Caputo and Giuliano Dall’O’
Additional contact information
Simone Ferrari: Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, 20133 Milano, Italy
Federica Zagarella: Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, 20133 Milano, Italy
Paola Caputo: Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, 20133 Milano, Italy
Giuliano Dall’O’: Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, 20133 Milano, Italy

Energies, 2021, vol. 14, issue 17, 1-16

Abstract: Assessing the existing building stock’s hourly energy demand and predicting its variation due to energy efficiency measures are fundamental for planning strategies towards renewable-based Smart Energy Systems. However, the need for accurate methods for this purpose in the literature arises. The present article describes a GIS-based procedure developed for estimating the energy demand profiles of urban buildings based on the definition of the volumetric consistency of a building stock, characterized by different ages of construction and the most widespread uses, as well as dynamic simulations of a set of Building Energy Models adopting different energy-related features. The simulation models are based on a simple Building Energy Concept where selected thermal zones, representative of different boundary conditions options, are accounted. By associating the simulated hourly energy density profiles to the geo-referenced building stock and to the surveyed thermal system types, the whole hourly energy profile is estimated for the considered area. The method was tested on the building stock of Milan (Italy) and validated with the data available from the annual energy balance of the city. This procedure could support energy planners in defining urban energy demand profiles for energy policy scenarios.

Keywords: Urban Building Energy Model (UBEM); GIS analysis; buildings database; urban energy profile; building hourly energy demand (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5445/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5445/ (text/html)

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:gam:jeners:v:14:y:2021:i:17:p:5445-:d:627078

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().