Special Journal Issue on Digital Twins in Energy and Automotive Industries

The ASME Journal of Energy Resources Technology is currently accepting manuscripts for a special issue focusing on the topic “Digital Twins in Energy and Automotive Industries.” Authors who are interested in having their manuscripts included in the special issue, to be published in March 2022, should submit their manuscripts by August 15, 2021.
 
Digital twins, which are an integral part of the Industrial Internet of Things (IIOT), or Industry 4.0, enable digitization across various industries.  A digital twin, when combined with data streaming from IIOT sensors and a software framework to handle end-end operations, is an evergreen digital representation of an asset that could be useful in a variety of ways. For example, a validated design digital twin of a component could reduce development costs in design and manufacturing for the end user. Similarly, operational digital twins of existing assets in the field could support in health monitoring, diagnostics, and in extending the useful life through adaptive control techniques. 
 
This special issue focuses on technology developments using digital twins in the broader areas of energy including fossil-fuel-driven power generation (coal, natural gas, etc.), power generation from renewables, oil and gas supply chain, and automotive (conventional IC engine, BEVs, EVs, connected mobility) sectors, and seeks contributions specifically in the following topic areas related to digital twins.
 
Manuscripts to be included in the special issue should concentrate on a range of topics including modeling and simulation for digital twins (physics based, ML/AI, etc.); enabling technologies (platforms & computing, IIOT sensors, automation, AR/VR, visualization, data ingestion approaches); digital twins for additive manufacturing; closing the loop on digital twins using digital thread; digital twin case studies – operating assets (health monitoring, diagnostics, operations optimization at a station level or plant level, digital twin application/traceability/integration in supply chain); and cybersecurity issues for digital twins.
 
Manuscripts should be submitted electronically to the journal by August 15, 2021, via Journals Connect at journaltool.asme.org. Authors who have an account should log in and select “Submit Paper” at the bottom of the page.  Authors without an account should select “Submissions” and follow the steps. At the Paper Submittal page, authors should select “ASME Journal of Energy Resources Technology” and then select the special issue “Digital Twins in Energy and Automotive Industries.” Papers received after the deadline or papers not selected for inclusion in the special issue may be accepted for publication in a regular issue.
 
The guest editors for the special issue are Dr. Maruthi Devarakonda, Associate/Technical Advisor, Booz Allen Hamilton, U.S., Devarakonda_Maruthi@bah.com; Dr. Annie Zeng, Technical Expert, Digital Twin & Artificial Intelligence, Advanced Manufacturing, Ford Motor Company, U.S., azeng@ford.com; and Dr. Irene Petrick, Senior Director of Industrial Innovation, Intel Corporation, U.S., irene.j.petrick@intel.com.
 
For more information on the ASME Journal of Energy Resources Technology, visit https://asmedigitalcollection.asme.org/energyresources. To learn more about the ASME Journal Program, visit www.asme.org/publications-submissions/journals/information-for-authors.