Tabreed to use AI to predict demand

Abu Dhabi company looks to boost plant energy efficiency by 30%

Tabreed initiative will have a stable weather forecasting system, and use data science to develop models and correlations to accurately predict energy demand.

Abu Dhabi’s Tabreed has launched a new initiative called ‘Wet bulb Forecasting.’ It makes use of AI (artificial intelligence) to more accurately forecast customer demand for the next 24 hours.

This will allow for a more efficient operation by optimising the production of cooling, said Tabreed in a statement yesterday.

Tabreed said the project would be carried out in two steps: the first step is to have a stable weather forecasting system based on information updated in real time; the second step will be to use data science to develop models and correlations and finally, based on demand forecast, drive the plant performance.

“Energy Efficiency is essential more than ever, and I am very proud of the relentless efforts of our innovation focused teams who continuously work to make sure we adopt the latest technologies and pioneer the district cooling industry with highest efficiency and less impact on our environment,” said Bader Saeed Al Lamki, Tabreed’s Chief Executive Officer.

Other projects

‘Future of Cooling’ is another one of the company’s initiatives. It aims to introduce new designs and technologies in each district cooling plant, resulting in “material improvements” in plant performance as well as a prolonged life and lower plant life cycle costs, said Tabreed.

“Based on the simulation of this pilot project, we forecast a 25 to 30 per cent increase in performance, compared to our industry benchmarks,” said François-Xavier Boul, Tabreed’s Chief Development Officer.