IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2641-d1094182.html
   My bibliography  Save this article

Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review

Author

Listed:
  • Martin Hammerschmid

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

  • Daniel Cenk Rosenfeld

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

  • Alexander Bartik

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

  • Florian Benedikt

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

  • Josef Fuchs

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

  • Stefan Müller

    (Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria)

Abstract

Digital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in different industries, this review paper focuses on developing a novel virtual representation framework for the process development environment within the energy sector. The proposed methodology enables the continuous evolution of virtual representations along the process development lifecycle. A novel definition for virtual representations in the process development environment is developed. Additionally, the most important virtual representation challenges, properties, and applications for developing a widely applicable framework are summarized. The essential sustainability indicators for the energy sector are listed to standardize the process evaluation throughout the process development lifecycle. The virtual representation and physical facility development can be synchronized by introducing a novel model readiness level. All these thoughts are covered through the novel virtual representation framework. Finally, the digital twin of a Bio-SNG production route is presented, to show the benefits of the methodology through a use case. This methodology helps to accelerate and monitor energy technology developments through the early implementation of virtual representations.

Suggested Citation

  • Martin Hammerschmid & Daniel Cenk Rosenfeld & Alexander Bartik & Florian Benedikt & Josef Fuchs & Stefan Müller, 2023. "Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review," Energies, MDPI, vol. 16(6), pages 1-30, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2641-:d:1094182
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2641/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/6/2641/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    2. Christina Wulf & Martin Kaltschmitt, 2018. "Hydrogen Supply Chains for Mobility—Environmental and Economic Assessment," Sustainability, MDPI, vol. 10(6), pages 1-26, May.
    3. O’Dwyer, Edward & Pan, Indranil & Acha, Salvador & Shah, Nilay, 2019. "Smart energy systems for sustainable smart cities: Current developments, trends and future directions," Applied Energy, Elsevier, vol. 237(C), pages 581-597.
    4. Chau, C.K. & Leung, T.M. & Ng, W.Y., 2015. "A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings," Applied Energy, Elsevier, vol. 143(C), pages 395-413.
    5. Stanger, Lukas & Schirrer, Alexander & Benedikt, Florian & Bartik, Alexander & Jankovic, Stefan & Müller, Stefan & Kozek, Martin, 2023. "Dynamic modeling of dual fluidized bed steam gasification for control design," Energy, Elsevier, vol. 265(C).
    6. Bauer, Christian & Hofer, Johannes & Althaus, Hans-Jörg & Del Duce, Andrea & Simons, Andrew, 2015. "The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework," Applied Energy, Elsevier, vol. 157(C), pages 871-883.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira & Reinaldo Gomes, 2024. "Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    2. Stanger, Lukas & Bartik, Alexander & Hammerschmid, Martin & Jankovic, Stefan & Benedikt, Florian & Müller, Stefan & Schirrer, Alexander & Jakubek, Stefan & Kozek, Martin, 2024. "Model predictive control of a dual fluidized bed gasification plant," Applied Energy, Elsevier, vol. 361(C).
    3. Martin Hammerschmid & Alexander Bartik & Florian Benedikt & Marton Veress & Simon Pratschner & Stefan Müller & Hermann Hofbauer, 2023. "Economic and Ecological Impacts on the Integration of Biomass-Based SNG and FT Diesel in the Austrian Energy System," Energies, MDPI, vol. 16(16), pages 1-29, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rüdisüli, Martin & Bach, Christian & Bauer, Christian & Beloin-Saint-Pierre, Didier & Elber, Urs & Georges, Gil & Limpach, Robert & Pareschi, Giacomo & Kannan, Ramachandran & Teske, Sinan L., 2022. "Prospective life-cycle assessment of greenhouse gas emissions of electricity-based mobility options," Applied Energy, Elsevier, vol. 306(PB).
    2. Wang, Hong & Wu, Jun-Jun & Zhu, Xun & Liao, Qiang & Zhao, Liang, 2016. "Energy–environment–economy evaluations of commercial scale systems for blast furnace slag treatment: Dry slag granulation vs. water quenching," Applied Energy, Elsevier, vol. 171(C), pages 314-324.
    3. Agnieszka Kuś & Dorota Grego-Planer, 2021. "A Model of Innovation Activity in Small Enterprises in the Context of Selected Financial Factors: The Example of the Renewable Energy Sector," Energies, MDPI, vol. 14(10), pages 1-17, May.
    4. Meijing Liu & Changqi Liu & Hao Xie & Zhonghui Zhao & Chong Zhu & Yangang Lu & Changsheng Bu, 2023. "Analysis of the Impact of Photovoltaic Curtain Walls Replacing Glass Curtain Walls on the Whole Life Cycle Carbon Emission of Public Buildings Based on BIM Modeling Study," Energies, MDPI, vol. 16(20), pages 1-21, October.
    5. Desreveaux, A. & Bouscayrol, A. & Trigui, R. & Hittinger, E. & Castex, E. & Sirbu, G.M., 2023. "Accurate energy consumption for comparison of climate change impact of thermal and electric vehicles," Energy, Elsevier, vol. 268(C).
    6. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    7. Audoly, Richard & Vogt-Schilb, Adrien & Guivarch, Céline & Pfeiffer, Alexander, 2018. "Pathways toward zero-carbon electricity required for climate stabilization," Applied Energy, Elsevier, vol. 225(C), pages 884-901.
    8. Jun Liu & Yu Qian & Huihong Chang & Jeffrey Yi-Lin Forrest, 2022. "The Impact of Technology Innovation on Enterprise Capacity Utilization—Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    9. Nadia Belmonte & Carlo Luetto & Stefano Staulo & Paola Rizzi & Marcello Baricco, 2017. "Case Studies of Energy Storage with Fuel Cells and Batteries for Stationary and Mobile Applications," Challenges, MDPI, vol. 8(1), pages 1-15, March.
    10. Patricia González-Vallejo & Radu Muntean & Jaime Solís-Guzmán & Madelyn Marrero, 2020. "Carbon Footprint of Dwelling Construction in Romania and Spain. A Comparative Analysis with the OERCO2 Tool," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    11. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
    12. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
    13. Pei Zhang & Peiran Chen & Fan Xiao & Yong Sun & Shuyan Ma & Ziwei Zhao, 2022. "The Impact of Information Infrastructure on Air Pollution: Empirical Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-17, November.
    14. Anna Borkovcová & Miloslava Černá & Marcela Sokolová, 2022. "Blockchain in the Energy Sector—Systematic Review," Sustainability, MDPI, vol. 14(22), pages 1-12, November.
    15. Ana Ferreira & Manuel Duarte Pinheiro & Jorge de Brito & Ricardo Mateus, 2022. "Embodied vs. Operational Energy and Carbon in Retail Building Shells: A Case Study in Portugal," Energies, MDPI, vol. 16(1), pages 1-23, December.
    16. Jakov Batelić & Karlo Griparić & Dario Matika, 2021. "Impact of Remediation-Based Maintenance on the Reliability of a Coal-Fired Power Plant Using Generalized Stochastic Petri Nets," Energies, MDPI, vol. 14(18), pages 1-14, September.
    17. Nguyen Thanh Viet & Alla G. Kravets, 2022. "The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management," Energies, MDPI, vol. 15(18), pages 1-26, September.
    18. Mélanie Douziech & Romain Besseau & Raphaël Jolivet & Bianka Shoai‐Tehrani & Jean‐Yves Bourmaud & Guillaume Busato & Mathilde Gresset‐Bourgeois & Paula Pérez‐López, 2024. "Life cycle assessment of prospective trajectories: A parametric approach for tailor‐made inventories and its computational implementation," Journal of Industrial Ecology, Yale University, vol. 28(1), pages 25-40, February.
    19. Artur Kwasek & Damian Kocot & Izabela Gontarek & Jacek Oleksiejuk & Joanna Rogozinska-Mitrut & Malgorzata Golinska-Pieszynska, 2024. "Human Resource Management Practices in an Agile Organization in the Aspect of Own Research," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 383-399.
    20. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2641-:d:1094182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.