The International Institute for Refrigeration (IIR) estimates there are approximately three billion refrigeration, air-conditioning, and heat pump systems in operation worldwide, consuming about 17% of the global electricity use.
This accounts for an annual energy market of 8345 TWh valued at about 1 trillion USD per year at average industrial electrical tariff and 4 billion tons of CO2 emissions. Refrigeration demand is set to increase in the coming years. The need to reduce global emissions highlights the importance of increasing the energy efficiency of refrigeration systems expeditiously.
SORBA.ai is deploying a Machine Learning (ML) solution for industrial refrigeration achieving 5-10% improvements in energy performance. This is a software-based solution that typically does not require infrastructure improvements, can be retrofitted, or incorporated into new systems and be easily deployed at competitive returns on investment. Solutions like SORBA.ai’s refrigeration application have a global energy savings potential surmounting 53B USD per year, while offsetting more than 198 million tons of annual CO2 emissions. SORBA.ai´s refrigeration solution is being applied across the world and is ready to be deployed at scale today.
SORBA.ai advanced process control (APC) adjusts suction pressure, discharge pressure and/or cooling tower adjusting temperature setpoints in real time to improve system COP (Coefficient of Performance). For any given operating condition, the model will look at those controllable variables to see what trends led to an improved COP within the plant’s historical data. It then monitors the plant’s process variables and produces optimal setpoints in real time to achieve a higher COP, moving the plant from its baseline operating condition up towards the optimal line as shown below.
SORBA.ai is a COMPLETE artificial intelligence automation software platform that enables enterprises to improve asset reliability, optimize processes, and accelerate sustainability through the democratization of end-to-end Auto-ML solutions. Our software requires NO coding or data scientist experience. It's been designed for subject-matter-experts (SME's) to use with ease. We call it, the world's most user-friendly automation SaaS platform.
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