Sustainability using Renewable Electricity (SuRE) towards NetZero Emissions
This addresses the problem of transitioning to greener energy sources for organizations aiming to meet Net-Zero emission targets, though it appears incremental as it applies existing AI methods to a specific domain.
The paper tackles the challenge of increasing renewable electricity share in organizational energy consumption to reduce carbon footprint, presenting an AI-based solution that provides energy demand forecasting, renewable procurement recommendations, and carbon offset advice, which has been deployed for over a year in four facilities and significantly increased their renewable electricity share.
Demand for energy has increased significantly across the globe due to increase in population and economic growth. Growth in energy demand poses serious threat to the environment since majority of the energy sources are non-renewable and based on fossil fuels, which leads to emission of harmful greenhouse gases. Organizations across the world are facing challenges in transitioning from fossil fuels-based sources to greener sources to reduce their carbon footprint. As a step towards achieving Net-Zero emission target, we present a scalable AI based solution that can be used by organizations to increase their overall renewable electricity share in total energy consumption. Our solution provides facilities with accurate energy demand forecast, recommendation for procurement of renewable electricity to optimize cost and carbon offset recommendations to compensate for Greenhouse Gas (GHG) emissions. This solution has been used in production for more than a year for four facilities and has increased their renewable electricity share significantly.