Structured Dataiku Flow
Ingest your fragmented electricity consumption, analyze and get insights to reach your sustainable goals.Explore !
The goal of this adapt and apply solution is to show central energy managers how Dataiku can be used to track electricity consumption & CO2 emissions across manufacturing sites, and easily forecast based on a production plan. More details on the specifics of the solution can be found on the knowledge base. This solution is only available on installed instances.
Demand for industrial products has risen considerably in the past two decades, along with energy consumption and CO2 emissions. As a result, the industry sector accounted for 37% of total global final energy use in 2018. Growth in energy consumption has been driven largely by an ongoing long-term trend of rising production in energy-intensive industry subsectors (i.e. chemicals, iron and steel, cement, pulp and paper and aluminium).
All industrial companies are engaged in a race to reduce their CO2 emissions to adapt to a shift in market demand and better manage their environmental risks and obligations to comply both with financial market requests and future regulatory requirements. But doing so is far from simple. Energy data systems are highly fragmented, which prevents companies from having a simple understanding of their footprint and the drivers to actively manage it. More importantly, they struggle in successfully empowering their employees with the appropriate data views and forecasting means to help them best pilot their approaches in a CO2 conscious manner.
With this solution, companies can quickly create a unified and interactive view on their electricity consumption across manufacturing sites and meters, and easily convert it to CO2 through real time carbon intensity data provided by electricityMap. Production planners are able to forecast electricity and CO2 emissions linked to their planned production plans and adjust their geographical allocation choices to optimize their footprint.