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A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings

Author
Grillone, B.; Danov, S.; Sumper, A.; Cipriano, J.; Mor, G.
Type of activity
Journal article
Journal
Renewable and sustainable energy reviews
Date of publication
2020-10
Volume
131
First page
110027-1
Last page
110027-12
DOI
10.1016/j.rser.2020.110027
Repository
http://hdl.handle.net/2117/334747 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S136403212030318X Open in new window
Abstract
Increasing the energy efficiency of the built environment has become a priority worldwide and especially in Europe. Because of the relatively low turnover rate of the existing built environment, energy efficiency retrofitting appears to be a fundamental step in reducing its energy consumption. Last experiences have shown that there is a vast energy efficiency potential lying in the building stock, and it is mainly untapped. One of the reasons is a lack of robust methodologies able to evaluate th...
Citation
Grillone, B. [et al.]. A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings. "Renewable and sustainable energy reviews", Octubre 2020, vol. 131, p. 110027-1-110027-12.
Keywords
Building energy retrofitting, Data-driven approach, Energy performance improvement, Energy savings evaluation, Measurement and verification, Retrofitting decision support
Group of research
CITCEA - Centre of Technological Innovation in Power Electronics and Drives

Participants