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ARC Advisory Group's European Industry Forum in Amsterdam last March included a well-attended workshop on energy management, a topic that offers the potential for industrial organizations to both improve sustainability and reduce costs. However, energy management also involves a multitude of issues and challenges for companies that are starting or expanding their related initiatives. One issue is when a data-driven focus conflicts with the practical, real-world operations "know-how" that's often present on the plant floor.
Energy Management Approaches
The experience-based and data-driven approaches co-exist in nearly all plants. ARC's energy management workshop explored the pros and cons of both approaches to be able to get a handle on best practices in this domain.
The data-driven approach includes analytics capable of treating large amounts of data and discovering correlations among these data. While, in the past, mechanistic reasoning was used to select relevant plant data, today, all available plant data originating from any plant system can be used as input. While this introduces the potential to "discover" the obvious, for example that energy consumption is proportional to throughput, it also offers the potential to discover correlations that would not have been found using selected data alone. Prescriptive and predictive analytics go the next step in indicating how to operate over a near-term horizon.
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Keywords: Energy Management, ARC European Industry Forum, ARC Advisory Group.