In the competition of modern manufacturing, efficiency is not just a buzzword; it’s a necessity. With industries striving to reduce costs, minimise resource waste, and meet sustainability targets, the optimisation of energy usage has emerged as a crucial priority.
Enter AI, to revolutionise the robotisation of solutions. As it harnesses the power of artificial intelligence to transform the manufacturing sector’s energy efficiency landscape.
Unleashing the Potential of AI
AI represents a paradigm shift in the way manufacturers approach energy optimisation. Unlike traditional methods that rely on manual adjustments or fixed schedules, AI leverages advanced algorithms to continuously analyse data (learning consumption patterns and production programming) and, in real-time, identify optimal settings in machinery and production processes.
By integrating Reinforcement Learning and predictive analytics, BeChained’s solution forecasts energy consumption patterns and, above all, execute adjustments to enhance efficiency (via native SCADA integration).
This is key to robotise the production: the autonomous decision making determines the most efficient set point bundle and, without requiring manual intervention, enhance new programming to fasten the efficiency.
Even if it sounds scary, human beings become supervisors, rather than manual executors.
Identifying Optimal Settings with Precision
One of the key features of BeChained AI is its ability to identify optimal settings in real-time. By monitoring various parameters such as temperature, pressure, and speed, the system pinpoints opportunities for optimisation with unparalleled accuracy. Much faster and more accurate than expert human beings. This deliver continuos improvements.
Whether it’s fine-tuning equipment parameters or optimising production schedules, BeChained AI ensures that every aspect of the manufacturing process is optimised for maximum energy efficiency (carbon insetting, under Scope 1) and minimum carbon emissions.
Automatic Execution for Seamless Integration
What sets AI solution (capable to execute improvement in production) apart is its seamless integration into existing manufacturing workflows. Once optimal settings are identified, the system automatically executes the necessary adjustments without human intervention.
This not only eliminates the need for manual monitoring, but also ensures that energy-saving measures are implemented promptly and consistently. As a result, manufacturers achieves significant energy savings with minimal disruption to operations.
Moreover, the RL algorithms defines the set points within the ranges to guarantee manufacturers keep their receipts unaltered, so does the quality of production.
Driving Demand Flexibility for Grid Balancing
Beyond enhancing energy efficiency within individual manufacturing facilities, real-time AI solutions also play a crucial role in demand flexibility. By adjusting energy consumption based on real-time market conditions, manufacturers can participate in demand response programs and contribute to grid stability.
In markets with marginal real-time pricing (mRR), this capability becomes especially valuable, as manufacturers capitalise on price fluctuations to optimise their energy costs, while supporting grid reliability.
This is a new era of revenue streams for manufacturers: demand flexibility, that can only be unlocked by controlling production scheduling, delivering load shifting (whenever possible) and strategically reducing consumption during grid peaks or constrains.
Embracing a Sustainable Future
In addition to its economic benefits, BeChained AI aligns with broader sustainability objectives.
By reducing energy consumption and greenhouse gas (GHG) emissions, manufacturers minimise their environmental footprint and contribute to a more sustainable future.
The direct consequence is that they pay less for carbon offsetting their facilities (Scope 2 and 3) and the supply chain.
With increasing pressure to adopt eco-friendly practices, BeChained AI offers a practical solution for manufacturers looking to balance profitability with environmental responsibility.
Conclusion
In an era defined by innovation and efficiency, unique and niche solution like BeChained’s, stands out as a game-changer for the manufacturing industry.
By harnessing the power of artificial intelligence, the solution enables manufacturers to optimise energy usage, enhance productivity, and contribute to grid stability.
As businesses continue to prioritise sustainability and cost-effectiveness, BeChained AI emerges as a cornerstone technology driving the transition towards a more efficient and sustainable manufacturing sector.
Finally, by releasing demand flexibility in grid balancing , the solution accelerates grid counter-measures during peaks or constrain, pushing the evolution to neural grids.
With its ability to identify optimal settings, automate adjustments, and support demand flexibility, BeChained AI revolutionise the future of energy efficiency in manufacturing.
