Application of the Typology Approach for Energy Renovation Planning of Public Buildings’ Stocks at the Local Level: A Case Study in Greece
Author:
Stavrakakis George M.12ORCID, Bakirtzis Dimitris12ORCID, Drakaki Korina-Konstantina1, Yfanti Sofia23ORCID, Katsaprakakis Dimitris Al.2ORCID, Braimakis Konstantinos4ORCID, Langouranis Panagiotis1, Terzis Konstantinos1, Zervas Panagiotis L.1
Affiliation:
1. MES Energy S.A., Aiolou Str. No.67, 10559 Athens, Greece 2. Department of Mechanical Engineering, Hellenic Mediterranean University, Estavromenos, 71410 Heraklion, Greece 3. Division of Environment and Agricultural Production, Municipality of Hersonissos, Eleftherias Str. No.50, 70014 Hersonissos, Greece 4. Department of Thermal Engineering, School of Mechanical Engineering, National Technical University of 8 Athens, 9 Heroon Polytechniou Str., 15780 Zografou, Greece
Abstract
According to the latest energy efficiency European directive (EED 2023/1791/EU), the expected energy renovation rate of at least 3% of the buildings’ floor area each year towards nearly zero-energy buildings (nZEBs) is extended to include public buildings not only of the central government (as per the first EED 2012/27/EU) but also of regional and local authorities. This poses a great challenge, especially for Municipalities that often manage large building stocks with high energy demands. In response to this challenge, this paper presents the application of the so-called “typology approach” for conducting public buildings’ energy renovation plans at the local level. A computational survey is initially introduced to decide the optimal set of building-stock clustering criteria among all possible combinations, involving the minimization of the RMSE index regarding the primary energy consumption of each building. For a representative building from each identified typology, the key performance indicators (KPIs) are computed for alternative energy-upgrading scenarios. Exploiting the IMPULSE Interreg-MED project tools, the KPIs from each representative building are at first extrapolated to all buildings of the examined stock and, finally, a gradual energy renovation plan is automatically produced based on user-defined decision parameters including the required annual renovation rate. The methodology is applied for the case of the Municipality of Hersonissos in Greece. For the specific 44-buildings’ stock it was found that the optimal clustering set included four criteria, building use, construction year, heating, and a cooling system, leading to 15 building typologies. Finally, assuming a 7% renovation rate per year, a 12-year gradual renovation (nZEB transformation) plan is obtained foreseeing an 85% CO2 emissions’ reduction.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
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