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Technology will deliver real-time energy consumption data to new open smart-manufacturing platform
Rockwell Automation has initiated a project to optimize manufacturing assets at a U.S. Army-owned, contractor-operated, metal-parts manufacturing plant in Scranton, Pa. The work is one of two test-bed efforts in the $10 million Smart Manufacturing Leadership Consortium (SMLC) project to develop the first open smart-manufacturing (SM) platform in the U.S.
The U.S. Department of Energy (DOE)-supported project will show how the SM platform of SMLC can be used for real-time management of energy across many small, medium and large U.S. manufacturing companies. The technologies developed by the consortium are expected to help improve energy productivity, reduce carbon dioxide and boost production output.
Rockwell Automation is one of the principal members of the SMLC, along with University of Texas – Austin, University of California – Los Angeles, Emerson, Honeywell Automation and Control Systems, Schneider Electric, Praxair and others. The scope of Rockwell Automation on the project includes the extraction of energy data from existing automation systems, the enhancement of asset instrumentation, and the deployment of additional automation control hardware and software, including engineering services to support the DOE project. Tight collaboration with other consortium members will ensure the SM platform is compatible with multiple process-control and energy-management systems, as well as other manufacturing applications.
“For the DOE-funded test bed, we will extract previously unavailable energy data from furnaces and other operational equipment utilizing the existing automation system enabled by an open communications protocol,” commented Phil Kaufman, business manager for Industrial Energy Management, Rockwell Automation. “The energy data correlated with production data provide the opportunity for real-time energy reduction.”
“The test-bed project involves billet preheat, forging, finished machining and heat-treating processes that consume significant amounts of energy. While there is an existing control system at the plant, the furnaces and machining systems have not been optimized to reduce energy consumption in real time,” Kaufman continued.
Rockwell Automation will also supply an innovative energy-aware control system coupled with energy-optimization functionality around the furnace test bed to provide sufficient measurements to validate a high-fidelity model of the combustion process on the SM platform. Energy data from the equipment will be communicated over an EtherNet/IP network and made available to the Rockwell Automation Integrated Architecture system. From there, the plant data will be securely available through the SM platform to a variety of applications.
For this test bed, a high-fidelity model in the cloud will populate a reduced-order model, which can be used to optimize the furnace-combustion process. “The furnace optimization results and targets will be written back from the SM platform to the Integrated Architecture system, which will allow operators to make adjustments to the process,” Kaufman said. “The project scope also includes adding a number of Rockwell Automation energy-aware devices to measure and control fuel and air flows to different zones in the furnace to maximize energy productivity.”