6. Conclusion
In this paper we presented an approach, named Smartainability, aimed to estimate with qualitative and quantitative indicators, to what extent enabling technologies for smart solutions contribute to increase energy efficiency and environmental sustainability in a city. The final results show how Smartainability allows to estimate to what extent smart solutions achieve better performance than traditional assets for all identified indicators. For example, Smartainability allows to evaluate estimate that, thanks to the solutions deployed in Expo Milano 2015 digital smart city, it will be possible to avoid the emissions of 21 000 tons of CO2 equivalent, 62 tons of SO2 and 36 of NOx, to avoid the consumption of 80 000 ÷ 105 000 MWh of fossil primary energy and to save 6 million Euro [8]. The implementation on the Expo Milano 2015 site, demonstrates that Smartainability methodology is able to give decision makers useful information on benefits generated by smart solutions deployment. This aspect is due to three relevant issue: benefits are expressed with quantitative indicators; indicators are estimated before technologies or solutions implementation; benefits are connected to technologies or solutions deployment. Compared with other proposed smart city assessment methodologies, Smartainability has confirmed the approach strictness and the ability to connect benefits to functionalities and enabling assets.
