D3.1.3_Indicators_for Smart Buildings-Cities

A large number of indicators are necessary in order to support cities for applying city management systems and to implement smart city policies, programmes and projects (ISO 37122). Among others, these efforts aim to: o respond to challenges such as climate change, by fundamentally improving how they engage society; o serve people and improve quality of life for residents, businesses, and visitors using data and new technologies; o achieve sustainability goals; o facilitate innovation and growth; o build a dynamic and innovative economy. An integral element of smart cities that has evolved and advanced to early implementation stages is the smart readiness indicator (SRI) of buildings. This is a common EU rating scheme that depends on a building's capacity to accommodate smart-ready services for creating healthy, energy-efficient and comfortable indoor environment.1 The approach addresses all main building services, including air-conditioning, domestic hot water, lighting, electricity, electric vehicle charging, building envelope functions, monitoring and control. The impacts are accessed in terms of energy efficiency and flexibility, indoor comfort, convenience, health and well-being, among others. This report outlines the characteristics of related methods in order to quantify the building smart readiness indicator and smart cities. The presentation does not provide detailed information but rather outlines the SRI method and provides the necessary links to the available tools for quantifying the smartness of buildings. For smart cities, several of the relevant indicators that are reviewed herein are already part of the CESBA MED sustainability assessment method (https://cesba-med.interregmed.eu). Relevant information that is suitable for integration in the overall concept are presented in this report. Considering that a smart city has several facets, the evaluation of a smart city is based on qualitative criteria using an expert’s assessment based on the prescribed reference descriptions in order to assess and score the specific performance (Balaras et al. 2019).