Authors: Aikaterini Papapostolou, Ioanna Andreoulaki, Konstantinos Touloumis, Panagiotis Kapsalis, and John Psarras
Published in: 9th International Symposium & 31st National Conference on Operational Research - Book of Abstracts
Year of publication: 2023
Due to the severe consequences of the climate crisis, which is largely due to gas emissions ensued by energy consumption worldwide, reaching energy transition targets has become an important pillar of energy polices. A considerable percentage of total CO2 emissions is generated because of energy usage in buildings. However, the rate of renovations aiming to improve energy performance of the European building stock remains low. The ENERGATE project aims to encourage financing of retrofitting actions in buildings, by developing a web-based marketplace to provide a communication medium and offer renovation related services to various engaged parties. Thus, the supply side (building owners, asset managers etc.) needs to enter data relevant to the buildings to the ENERGATE platform, so that the products (i. e. buildings and corresponding retrofitting measures) can be matched with the demand side (investors, ESCOs etc.). In this paper, existing frameworks which aim to model data relevant to buildings are investigated and, by examining several datasets, potential variables which influence a building’s likelihood of being renovated, as well as retrofitting measures that could apply to it, are explored. The aim is to generate a Common Data Model, which could be used as a basis to develop the building profiles within the ENERGATE platform. Besides, the conducted research could provide useful insights for stakeholders engaging in retrofitting projects, by pointing out the most important elements of the building’s characteristics which should be examined in order to determine the most appropriate renovation strategies.