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Title: Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains

Abstract

While many U.S. manufacturing operations utilize optimization for individual unit processes, smart manufacturing (SM) systems that integrate manufacturing intelligence in real time across an entire production operation are rare in large companies and virtually nonexistent in smaller organizations. One example of an area where SM systems can be applied is in the management of waste heat. A smart system that not only seeks to recover waste heat, but also to use energy more efficiently, is a more cost-effective approach because energy use, waste energy loss and product output are optimized together. The overall objective of this project was to develop an industry-accepted SM Platform that enables smart systems by accelerating and lowering the cost of development and implementation scales for use in diverse sets of manufacturing industry sectors, manufacturing operations and company sizes. Specifically, the project (1) designed and demonstrated the application of a prototype SM Platform for two diverse commercial test beds, (2) demonstrated at one and estimated for the other test bed the potential reduction in waste heat generation, and (3) worked with leading automation vendors to catalyze low-cost commercialization of the technology developed. The Smart Manufacturing Application and Data Platform (SM Platform) developed during this project ismore » an innovative approach that marries IT virtualization technologies with operational data and modeling system requirements to construct a ready-to-go platform for enabling sensor – data – modeling – actuation systems, driven by real-time plant data and performance metrics. This SM Platform allows manufacturing organizations, regardless of their industry or size, to assemble new operational systems at a much lower cost, optimizing process knowledge and improving energy productivity by integrating with existing process control and automation systems. Also developed during this project is a methodology for developing energy productivity metrics that use real-time process information and provide comparisons for potential, practical, and actual performance, as well as examples and the methodology for provisioning of an Energy Dashboard that displays alternatives to optimize energy use within specific business contexts aimed at helping improve energy productivity and reduce emissions in U.S. manufacturing. The SM Platform designed utilizes current manufacturing, operational and IT industry standards. The platform can be used to expedite sensor – data – model – actuation system development and deployment in a cloud-based environment using a novel end-to-end workflow as a service capability that is already integrated with data connection, ingestion, and contextualization services. In addition, the methodology for development of energy productivity metrics and reusable application templates called Toolkits have been defined so that they can be tailored to a specific business situation. The project’s two test beds, one in a hydrogen production plant and the other in a forging, heat treatment, and machining operation, utilize sensor-driven modeling, measurement, and simulation systems. In these two test beds, the implementation of these as a comprehensive system has made it possible for energy productivity to be managed in real-time throughout the plant and enterprise using an energy dashboard. The development pathway to direct machine actuation was articulated. During the first year, the project team developed the most highly instrumented steam-methane reformer (SMR) in the U.S. using infrared cameras and thermocouples. Real-time data are streamed to high fidelity and reduced-order models for analysis. A high fidelity CFD model, parallelized in the SM Platform cloud environment, was demonstrated for operational use. This is the first real-time operational productivity system of a steam methane reformer using both high fidelity and data-driven models together in a real time situation to balance natural gas flow to the reformer tubes. An infrared camera system was developed and shown to outperform thermocouples in coverage, accuracy, reliability, and cost effectiveness for use in a high temperature, harsh environment. A forging, heat-treating, machining line operation test bed includes new instrumentation for data capture analysis, modeling, and simulation and will be integrated into SM Platform workflows so that business performance can be managed in real-time. Composable metrics were developed using the SM Platform to drive improvements in energy productivity, environmental performance, safety, asset management, costs, and overall operations. A major focus of the SM systems developed was optimization of energy productivity at the enterprise level, which resulted in reductions in waste heat generation for the two project test beds. Reductions in the waste heat generated will result in greater energy savings than will waste heat recovery due to inefficiencies in the heat transfer process. For the SMR test bed an efficiency improvement of 1 – 2% with a corresponding waste heat reduction of 5% were demonstrated. It should be noted that the test bed SMR unit had an efficiency of more than 90% as compared to 70 to 80% efficiencies of most SMR units. So implementation of similar SM systems at typical SMR units could yield more than 15 to 25% waste heat reductions. Similarly the forging, heat-treating, machining line operation test bed is a DOE AMO Platinum Level Superior Energy Performance plant with a much higher than typical overall operating efficiency. For this test bed heat integration using recuperators is estimated to result in fuel savings of 15.9% due to waste heat recovery compared to the base case without recuperators with negligible changes in part exit conditions. This results in an 18.9% energy efficiency improvement. The project team estimates that broad multi-sector adoption of the developed technology could reduce waste heat generation by an amount equivalent to 1.3% of total U.S. energy use. This waste heat reduction is associated with 69 million tons reduction in annual carbon dioxide emissions. Other potential benefits include reducing process times, solid and liquid wastes, environmental impacts, and water use. It is estimated that this investment has an anticipated payback period of less than one year in energy-intensive applications. The SM Platform could also reduce the costs of deploying SM systems by 50% in manufacturing operations. Commercialization of the SM Platform will require significant cross-industry collaboration and technology provider market changes. Steps taken toward commercialization included 1) analyzing savings from deployment of the SM Platform and 2) holding SM Platform workshops, webinars, and conferences with targeted individual industry segments, with a focus on small and medium-sized organizations. An upgraded community website has been established as a portal for accessing and distributing information. Most importantly, the SM platform enabling technology developed during this project and its commercialization will continue, evolve and expand under the Clean Energy Smart Manufacturing Innovation Institute (CESMII).« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2];  [2];  [2];  [3];  [4];  [5];  [5];  [5];  [5];  [6];  [6];  [6] more »;  [7];  [8];  [9] « less
  1. The University of Texas at Austin, Austin, TX (United States)
  2. University of California at Los Angeles (UCLA), Los Angeles, CA (United States)
  3. Nimbis Services, Inc., McLean, VA (United States)
  4. Nimbis Services, Inc., McLean, VA (United States
  5. Praxair, Inc., Danbury, CT (United States)
  6. General Dynamics, Ordinance and Tactical Systems (GD-OTS), Scranton, PA (United States)
  7. American Institute of Chemical Engineers (AIChE), New York, NY (United States)
  8. National Center for Manufacturing Sciences (NCMS), Ann Arbor, MI (United States)
  9. Smart Manufacturing Leadership Coalition (SMLC), Washington, DC (United States)
Publication Date:
Research Org.:
The University of Texas at Austin, Austin, TX (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Contributing Org.:
Smart Manufacturing Leadership Coalition (SMLC) National Institute of Standards and Technology (NIST)
OSTI Identifier:
1454266
Report Number(s):
DOE-UT Austin-0005763
DOE Contract Number:  
EE0005763
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 42 ENGINEERING; 47 OTHER INSTRUMENTATION; smart manufacturing application; smart manufacturing platform; energy productivity optimization; energy productivity metrics; steam methane reformer; workflow-as-a-service; process modeling

Citation Formats

Edgar, Thomas F., Baldea, Michael, Ezekoye, Ofodike, Ganesh, Hari, Kumar, Ankur, Wanegar, Dan, Torres, Vincent M., Davis, Jim, Christofides, Panagiotis, Korambath, Prakashan, Manousiouthakis, Vasilios, Graybill, Robert, Schott, Brian, Megan, Larry, Flores-Cerillo, Jesus, Hu, Gangshi, Vispute, Tushar, Chup, Joseph, Albertson, Todd, Cannizzaro, Stephen, Schuster, Darlene, Callahan, Phil, and Swink, Denise. Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains. United States: N. p., 2018. Web. doi:10.2172/1454266.
Edgar, Thomas F., Baldea, Michael, Ezekoye, Ofodike, Ganesh, Hari, Kumar, Ankur, Wanegar, Dan, Torres, Vincent M., Davis, Jim, Christofides, Panagiotis, Korambath, Prakashan, Manousiouthakis, Vasilios, Graybill, Robert, Schott, Brian, Megan, Larry, Flores-Cerillo, Jesus, Hu, Gangshi, Vispute, Tushar, Chup, Joseph, Albertson, Todd, Cannizzaro, Stephen, Schuster, Darlene, Callahan, Phil, & Swink, Denise. Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains. United States. doi:10.2172/1454266.
Edgar, Thomas F., Baldea, Michael, Ezekoye, Ofodike, Ganesh, Hari, Kumar, Ankur, Wanegar, Dan, Torres, Vincent M., Davis, Jim, Christofides, Panagiotis, Korambath, Prakashan, Manousiouthakis, Vasilios, Graybill, Robert, Schott, Brian, Megan, Larry, Flores-Cerillo, Jesus, Hu, Gangshi, Vispute, Tushar, Chup, Joseph, Albertson, Todd, Cannizzaro, Stephen, Schuster, Darlene, Callahan, Phil, and Swink, Denise. Mon . "Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains". United States. doi:10.2172/1454266. https://www.osti.gov/servlets/purl/1454266.
@article{osti_1454266,
title = {Industrial Scale Demonstration of Smart Manufacturing, Achieving Transformational Energy Productivity Gains},
author = {Edgar, Thomas F. and Baldea, Michael and Ezekoye, Ofodike and Ganesh, Hari and Kumar, Ankur and Wanegar, Dan and Torres, Vincent M. and Davis, Jim and Christofides, Panagiotis and Korambath, Prakashan and Manousiouthakis, Vasilios and Graybill, Robert and Schott, Brian and Megan, Larry and Flores-Cerillo, Jesus and Hu, Gangshi and Vispute, Tushar and Chup, Joseph and Albertson, Todd and Cannizzaro, Stephen and Schuster, Darlene and Callahan, Phil and Swink, Denise},
abstractNote = {While many U.S. manufacturing operations utilize optimization for individual unit processes, smart manufacturing (SM) systems that integrate manufacturing intelligence in real time across an entire production operation are rare in large companies and virtually nonexistent in smaller organizations. One example of an area where SM systems can be applied is in the management of waste heat. A smart system that not only seeks to recover waste heat, but also to use energy more efficiently, is a more cost-effective approach because energy use, waste energy loss and product output are optimized together. The overall objective of this project was to develop an industry-accepted SM Platform that enables smart systems by accelerating and lowering the cost of development and implementation scales for use in diverse sets of manufacturing industry sectors, manufacturing operations and company sizes. Specifically, the project (1) designed and demonstrated the application of a prototype SM Platform for two diverse commercial test beds, (2) demonstrated at one and estimated for the other test bed the potential reduction in waste heat generation, and (3) worked with leading automation vendors to catalyze low-cost commercialization of the technology developed. The Smart Manufacturing Application and Data Platform (SM Platform) developed during this project is an innovative approach that marries IT virtualization technologies with operational data and modeling system requirements to construct a ready-to-go platform for enabling sensor – data – modeling – actuation systems, driven by real-time plant data and performance metrics. This SM Platform allows manufacturing organizations, regardless of their industry or size, to assemble new operational systems at a much lower cost, optimizing process knowledge and improving energy productivity by integrating with existing process control and automation systems. Also developed during this project is a methodology for developing energy productivity metrics that use real-time process information and provide comparisons for potential, practical, and actual performance, as well as examples and the methodology for provisioning of an Energy Dashboard that displays alternatives to optimize energy use within specific business contexts aimed at helping improve energy productivity and reduce emissions in U.S. manufacturing. The SM Platform designed utilizes current manufacturing, operational and IT industry standards. The platform can be used to expedite sensor – data – model – actuation system development and deployment in a cloud-based environment using a novel end-to-end workflow as a service capability that is already integrated with data connection, ingestion, and contextualization services. In addition, the methodology for development of energy productivity metrics and reusable application templates called Toolkits have been defined so that they can be tailored to a specific business situation. The project’s two test beds, one in a hydrogen production plant and the other in a forging, heat treatment, and machining operation, utilize sensor-driven modeling, measurement, and simulation systems. In these two test beds, the implementation of these as a comprehensive system has made it possible for energy productivity to be managed in real-time throughout the plant and enterprise using an energy dashboard. The development pathway to direct machine actuation was articulated. During the first year, the project team developed the most highly instrumented steam-methane reformer (SMR) in the U.S. using infrared cameras and thermocouples. Real-time data are streamed to high fidelity and reduced-order models for analysis. A high fidelity CFD model, parallelized in the SM Platform cloud environment, was demonstrated for operational use. This is the first real-time operational productivity system of a steam methane reformer using both high fidelity and data-driven models together in a real time situation to balance natural gas flow to the reformer tubes. An infrared camera system was developed and shown to outperform thermocouples in coverage, accuracy, reliability, and cost effectiveness for use in a high temperature, harsh environment. A forging, heat-treating, machining line operation test bed includes new instrumentation for data capture analysis, modeling, and simulation and will be integrated into SM Platform workflows so that business performance can be managed in real-time. Composable metrics were developed using the SM Platform to drive improvements in energy productivity, environmental performance, safety, asset management, costs, and overall operations. A major focus of the SM systems developed was optimization of energy productivity at the enterprise level, which resulted in reductions in waste heat generation for the two project test beds. Reductions in the waste heat generated will result in greater energy savings than will waste heat recovery due to inefficiencies in the heat transfer process. For the SMR test bed an efficiency improvement of 1 – 2% with a corresponding waste heat reduction of 5% were demonstrated. It should be noted that the test bed SMR unit had an efficiency of more than 90% as compared to 70 to 80% efficiencies of most SMR units. So implementation of similar SM systems at typical SMR units could yield more than 15 to 25% waste heat reductions. Similarly the forging, heat-treating, machining line operation test bed is a DOE AMO Platinum Level Superior Energy Performance plant with a much higher than typical overall operating efficiency. For this test bed heat integration using recuperators is estimated to result in fuel savings of 15.9% due to waste heat recovery compared to the base case without recuperators with negligible changes in part exit conditions. This results in an 18.9% energy efficiency improvement. The project team estimates that broad multi-sector adoption of the developed technology could reduce waste heat generation by an amount equivalent to 1.3% of total U.S. energy use. This waste heat reduction is associated with 69 million tons reduction in annual carbon dioxide emissions. Other potential benefits include reducing process times, solid and liquid wastes, environmental impacts, and water use. It is estimated that this investment has an anticipated payback period of less than one year in energy-intensive applications. The SM Platform could also reduce the costs of deploying SM systems by 50% in manufacturing operations. Commercialization of the SM Platform will require significant cross-industry collaboration and technology provider market changes. Steps taken toward commercialization included 1) analyzing savings from deployment of the SM Platform and 2) holding SM Platform workshops, webinars, and conferences with targeted individual industry segments, with a focus on small and medium-sized organizations. An upgraded community website has been established as a portal for accessing and distributing information. Most importantly, the SM platform enabling technology developed during this project and its commercialization will continue, evolve and expand under the Clean Energy Smart Manufacturing Innovation Institute (CESMII).},
doi = {10.2172/1454266},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {2}
}