Antwerp, Belgium, 27th July 2023 – Antwerp Euroterminal (“AET”), the largest multipurpose terminal in the Antwerp port, and Envision Digital, the global decarbonization software leader headquartered in Singapore, have partnered to provide critical support for AET’s plans to transition to use 100% renewable energy sources, comprising a mix of wind and solar energy.
Ranked 13th in the top 20 container ports worldwide, and the 2nd largest port in Europe,[1] the Port of Antwerp-Bruges‘s carbon dioxide (CO2) emissions amount to 17 million tons each year.[2] Accounting for 10% of Belgium’s total carbon emissions, the Port plans to become the world’s most sustainable port and achieve carbon neutrality by 2050 by exploring the use of green energy.
Under the partnership, AET will leverage Envision Digital’s proprietary AloT operating system, EnOSTM, to improve its energy storage management. This will enable AET to reduce up to 25% of peak power demand and achieve cost savings of up to eight percent on total electricity costs through the effective management of both imported and renewable energy prices.
The EnOSTM system will also enhance the capabilities of its electricity grid to withstand and recover from natural disasters and extreme weather events rapidly. This will further support the optimization of AET’s energy generation, consumption, and storage in real-time, ensuring the efficient integration of renewable resources.
“This project marks an essential progression towards decentralization, digitalization, and optimization of our infrastructure,” stated Yves de Larivière, Managing Director at Antwerp Euroterminal NV. “By incorporating microgrids and smart grids into our operations, we are making energy consumption smarter and more adaptive to supply conditions, enabling us to become more efficient and sustainable.”
Maher Chebbo, Europe Managing Director at Envision Digital, said, “We are thrilled to support AET’s decarbonization journey with the deployment of our AloT operating system across their renewable energy systems and infrastructure. Furthermore, the implementation of predictive analytics and machine learning algorithms will also help AET generate valuable insights around their carbon footprint.”
