Case studies
Ammonia production potential powered by Codvo.ai's technological leap forward
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The client is well known for its pioneering approach to sustainability and innovation, the company oversees one of the most sophisticated ammonia production facilities worldwide. In pursuit of elevating operational efficiencies and amplifying output, the client sought a revolutionary solution to optimize its ammonia production process in real-time.
This ambition to blend technological advancement with environmental stewardship underscores the client's commitment not just to leading the energy sector, but to doing so in a manner that is both efficient and sustainable.
Codvo.ai collaborated with a global energy titan to revolutionize its ammonia production plant through a Real-Time Process Optimization Solution. Faced with the challenge of enhancing efficiency and maximizing output, Codvo.ai crafted a solution leveraging advanced machine learning regression models and optimization frameworks. This innovative approach focused on identifying optimal setpoints for control valves, ensuring peak production levels. Utilizing a robust tech stack including Python, Gurobi, and Scikit-learn, the project aimed to significantly reduce infrastructure costs and minimize downtime, setting a new benchmark in operational excellence within the ammonia production in the Energy sector.
The client, faced the challenge of optimizing their ammonia production plant's efficiency in real time. The core task was to design a system that could accurately model the ammonia production process using machine learning models, with a goal to maximize output. This involved a complex interplay of variables, requiring precise feature engineering and analysis to ensure the models accurately reflected the plant's operating conditions.
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Our team embarked on a systematic approach to tackle the client's challenges:
Tech stack used: Python, Gurobi, Scikit-learn, Pandas, OMLT
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