A new method for estimating the smart readiness of building stock data using display energy Certificate data
Vasiliki Kourgiozou, Daniel Godoy-Shimizu, Mark Dowson, Andrew Commin, Rui Tang, Dimitrios Rovas, Dejan Mumovic
Abstract
The Smart Readiness Indicator (SRI) was introduced by the revised Energy Performance of Buildings Directive (EPBD) 2018/844/EU, as a voluntary scheme for rating the smart readiness of buildings. The methodology addresses the benefits of smart technologies and their functionalities in buildings to offer low-energy, healthier, and environmentally comfortable buildings that balance the needs of occupants and the energy grid. This is a case study implementation of the SRI calculation to the university campus scale. The SRI methodology is applicable on a building-by-building basis; however, the assessment of large stocks and energy hubs is not addressed and will be the focus of this study. Other studies have proposed a method to extend the calculation to building clusters which, however, involves assessing all the buildings in the cluster in detail. The current case study extends to a much larger number of buildings, therefore, the assessment of each individual building was not considered effective. A critical implementation of the SRI calculation is presented here that leverages publicly available information like Display Energy Certificate (DEC) advisory recommendation reports for a university campus. A complex building is used to verify the proposed method based on the SRI detailed methodology. The proposed method provides a solution to the large-scale processing of building information across multiple complex buildings, hence benefiting decision-makers early on. Furthermore, the method benefits from the inclusion of building-specific recommendations based on DEC surveys. For the 98 buildings examined, a campus SRI score range has been estimated and focus areas have been identified as the foundation of smart energy and net-zero transition pathways.