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Industrial Energy Management Research Theme:

The industrial usage of energy presents unique challenges. Fundamentally, it is contingent upon the products and services it delivers. In the meantime, the trend in recent decades has been towards continually evolving and more competitive marketplaces. In order to stay competitive, industrial companies have had to respond with high variety products of increasingly short product life cycle. The mass-customization and short product life cycle problem has meant that industrial companies with:

  • Resilient operations will be able to "bounce back" from the shifting fluctuations of customers and suppliers leveraging the ability quickly and incrementally adjust production capacity and capability
  • Sustainable operations will systematically control the quantity, timing, and cost of their energy consumption.
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Photo Credit: 2008
Therefore, the LIINES places industrial energy management in the context of resilient and sustainable operations -- with full awareness that energy management must be done as an integral part of a competitive industrial mission. To achieve this goal, we again turn to Enterprise Control, the tried and tested paradigm of effective industrial operations. This time, however, energy balance is integrated into every production activity for full visibility as to how, when, and why it is consumed and at what cost.

To address these needs, the LIINES Industrial Energy Management has made contributions in two areas:

Key Achievements in Resilient Production Operations:
  • Reconfigurability Measurement in Industrial Operations (2015): As more fundamental research, this work develops measures of reconfigurability and its key characteristics in industrial operations. These serve as the basis of new developments in enterprise control that directly support reconfigurable operations.
  • Axiomatic Design of Multi-Agent Reconfigurable Manufacturing System (2015): Building upon the reconfigurability measures, this work develops the first quantitatively architected multi-agent (artificially intelligent) system reference architecture for industrial operation. This a key step to achieving sustainable, resilient, and reconfigurable operation.
Key Achievements:
  • A Dynamic Model for the Energy Management of Microgrid-Enabled Production Systems (2017): Building upon our electrified transportation systems research and developments in hetero-functional graph theory, this work presents microgrid-enabled production systems as a pathway to zero carbon manufacturing systems.
  • Dynamic Production System Model for Industrial Energy Management (2015): Rather than treating industrial energy consumption in a static fashion, this work treats energy consumption dynamically as part of the utilization of the bill of material in production system operations.

Additionally, we have written several blog posts specifically on the topic of
Industrial Energy Management @ the LIINES.

LIINES Industrial Energy Management Research Theme Publications :
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