Conceptualizing A Digital Twin Model for Natural Gas Retailing in A Geographic Area in India
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Published
Feb 17, 2024
Asim Prasad
Anita Kumar
Pratyush Prasad
Abstract
In the fourth Industrial Revolution context, various industries are embracing advanced technologies such as
artificial intelligence, machine learning, big data analytics, and the Internet of Things to facilitate Net Zero
transition with digital transformation. A notable development in this field is the Digital Twin (DT), a virtual
representation of the physical system. Digital transformation enhances process management, elevates business
performance, and facilitates the advancement of sustainable energy transition as a viable solution for the
challenges arising from climate change. India's strategic goal of achieving a gas-based economy by 2030, by
providing widespread access to a local distribution network for cleaner natural gas serving 98% of the
population has motivated the study of integrating advanced digital technology into gas retailing as a viable
solution for decarbonized economic growth. Accordingly, this exploratory study presents a novel conceptual
model of a Digital Twin for natural gas retailing. The model aims for efficient real-time management of city
gas operations in India to enhance natural gas retail consumption for accelerating a gas-based economy
transition. This supports India’s commitment to providing affordable access to cleaner fuels under its SDG 7
framework. The research has practical implications for society to manage local climate change issues
effectively.
How to Cite
Asim Prasad, Anita Kumar, & Pratyush Prasad. (2024). Conceptualizing A Digital Twin Model for Natural Gas Retailing in A Geographic Area in India. SPAST Reports, 1(1). Retrieved from https://spast.org/ojspath/article/view/4791
Article Details
Keywords
Digital Twin, Natural Gas, City Gas Distribution
References
Aheleroff, S., Xu, X., Zhong, R. Y., & Lu, Y. (2021).
Digital Twin as a Service (DTaaS) in Industry 4.0: An
Architecture Reference Model. Advanced Engineering
Informatics, 47(December 2020), 101225.
https://doi.org/10.1016/j.aei.2020.101225
Ali, W. A., Roccotelli, M., & Fanti, M. P. (2022). Digital
Twin in Intelligent Transportation Systems: a Review.
2022 8th International Conference on Control,
Decision and Information Technologies, CoDIT 2022,
May, 576–581.
https://doi.org/10.1109/CoDIT55151.2022.9804017
Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey
on digital twin: Definitions, characteristics,
applications, and design implications. IEEE Access,
7(Ml), 167653–167671.
https://doi.org/10.1109/ACCESS.2019.2953499
Bo, L., Jiannan, G., & Xiangdong, X. (2021). The Digital
Twin of Oil and Gas Pipeline System. IFAC
PapersOnLine, 53(5), 710–714.
Borth, M., Verriet, J., & Muller, G. (2019). Digital Twin
Strategies for SoS. 2019 14th Annual Conference
System of Systems Engineering (SoSE), 164–169.
https://ieeexplore-ieeeorg.ukzn.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber
=8753860
BP. (2022). BP Statistical Review of World Energy.
CDBB. (2020). The approach to delivering a National
Digital Twin for the United Kingdom.
https://www.cdbb.cam.ac.uk/files/approach_summaryr
eport_final.pdf
EIA. (2022). Carbon Dioxide Emissions Coefficients by
Fuel. U.S. Energy Information Administration.
https://www.eia.gov/environment/emissions/co2_vol_
mass.php
Errandonea, I., Beltrán, S., & Arrizabalaga, S. (2020).
Digital Twin for maintenance: A literature review.
Computers in Industry, 123.
https://doi.org/10.1016/j.compind.2020.103316
Garg, S. P. (2019). Safety Practices for CGD. Workshop on
Safety in CGD Industry. https://ngsindia.org/safety/
IEA. (2021a). Net Zero by 2050. In IEA.
https://doi.org/10.1787/c8328405-en
IEA. (2021b). Unlocking Net Zero in Cities Through
Sustainable Digital Transformation and Innovative
Solutions. IEA. https://www.iea.org/events/iea-atcop26-unlocking-net-zero-in-cities-throughsustainable-digital-transformation-and-innovativesolutions
IGL. (2022). Material Safety Data Sheet Natural Gas. IGL.
https://www.iglonline.net/uploads/files/Material_Safet
y_Data_Sheet-_Natural_Gas.pdf
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B.
(2020). Characterising the Digital Twin: A systematic
literature review. CIRP Journal of Manufacturing
Science and Technology, 29, 36–52.
https://doi.org/10.1016/j.cirpj.2020.02.002
Li, X., Zhang, Y., Li, C., Wang, T., & Xi, C. (2022).
Application of Digital Twin in Handling and
Transportation of Hazardous Chemicals. Applied
Sciences (Switzerland), 12(24).
https://doi.org/10.3390/app122412746
Mckinsey and Company. (2023). What is digital-twin
technology ? (Issue July).
Melesse, T. Y., Di Pasquale, V., & Riemma, S. (2020).
Digital twin models in industrial operations: A
systematic literature review. Procedia Manufacturing,
42(2019), 267–272.
https://doi.org/10.1016/j.promfg.2020.02.084
MIT Technology Review Insights;, & Shell Inc; (2022).
Digital technology : The backbone of a net-zero
emissions future. In MIT Technology Review Insights.
https://www.shell.com/energy-andinnovation/digitalisation/digitalisation-acceleratingthe-energy-transition/digitalisation-anddecarbonisation-mitreport/_jcr_content/root/main/section/call_to_action/li
nks/item0.stream/1678207879539/34a35ef0e6176ff3e
b255
Mohammadpoor, M., & Torabi, F. (2020). Big Data
analytics in oil and gas industry: An emerging trend.
Petroleum, 6(4), 321–328.
https://doi.org/10.1016/j.petlm.2018.11.001
Negri, E., Fumagalli, L., & Macchi, M. (2017). A Review
of the Roles of Digital Twin in CPS-based Production
Systems. Procedia Manufacturing, 11(June), 939–948.
https://doi.org/10.1016/j.promfg.2017.07.198
Opoku, D. G. J., Perera, S., Osei-Kyei, R., & Rashidi, M.
(2021). Digital twin application in the construction
industry: A literature review. Journal of Building
Engineering, 40(April), 102726.
https://doi.org/10.1016/j.jobe.2021.102726
PNGRB. (2008). PNGRB (Technical Standards and
Specifications including Safety Standards for City or
Local Natural Gas Distribution Networks) Regulations,
2008. PNGRB.
PNGRB. (2018). PNGRB CGD in India. In PNGRB.
PNGRB. (2023). PNGRB 12th CGD Bidding Round.
PNGRB, 93.
https://www.pngrb.gov.in/OurRegulation/pdf/GazetteRegulation/English/GSR808(E)-E.pdf
PPAC. (2023). PPAC Archive. PPAC, MoPNG.
https://ppac.gov.in/archives
Prasad, A. (2011). Risks and challenges in the speedy
execution of pipeline projects. Premium Pipeline
International Digest, October, 5–9.
Prasad, A., & Kumar, A. (2022). Supply Chain
Performance Measurement Methodology for COVID19 Disruption Recovery- Natural Gas Retailing in
India. Pacific Business Review International, 15(1),
41–55.Prasad, A., Kumar, A., & Chatnani, N. N. (2023). Carbon
Neutrality with Sustainable Supply Chain Project
Management Framework for Affordable Access to
Natural Gas in India. Pacific Business Review
International, 15(12), 1–17.
Pregnolato, M., Gunner, S., Voyagaki, E., De Risi, R.,
Carhart, N., Gavriel, G., Tully, P., Tryfonas, T.,
Macdonald, J., & Taylor, C. (2022). Towards Civil
Engineering 4.0: Concept, workflow and application of
Digital Twins for existing infrastructure. Automation in
Construction, 141(July), 104421.
https://doi.org/10.1016/j.autcon.2022.104421
PTI. (2019). $60 billion investment coming in gas
infrastructure: Dharmendra Pradhan. The Economic
Times.
https://economictimes.indiatimes.com/industry/energy
/oil-gas/60-billion-investment-coming-in-gasinfrastructure-dharmendrapradhan/articleshow/71566401.cms?from=mdr
Rajput, S., Sabharwal, N., Singh, A., Shingan, B., & Yadav,
B. P. (2022). City Gas Distribution Incident Analysis in
India using Pareto Principle: A Comprehensive
Analysis. Journal of Failure Analysis and Prevention,
22(3), 899–911. https://doi.org/10.1007/s11668-022-
01422-9
Rosen, R., Von Wichert, G., Lo, G., & Bettenhausen, K. D.
(2015). About the importance of autonomy and digital
twins for the future of manufacturing. IFACPapersOnLine, 28(3), 567–572.
https://doi.org/10.1016/j.ifacol.2015.06.141
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S.
(2017). Shaping the digital twin for design and
production engineering. CIRP Annals - Manufacturing
Technology, 66(1), 141–144.
https://doi.org/10.1016/j.cirp.2017.04.040
Semeraro, C., Lezoche, M., Panetto, H., & Dassisti, M.
(2021). Digital twin paradigm: A systematic literature
review. In Computers in Industry (Vol. 130).
https://doi.org/10.1016/j.compind.2021.103469
Shahat, E., Hyun, C. T., & Yeom, C. (2021). City digital
twin potentials: A review and research agenda.
Sustainability (Switzerland), 13(6), 1–20.
https://doi.org/10.3390/su13063386
Sircar, A., Yadav, K., Rayavarapu, K., Bist, N., & Oza, H.
(2021). Application of machine learning and artificial
intelligence in oil and gas industry. Petroleum
Research, 6(4), 379–391.
https://doi.org/10.1016/j.ptlrs.2021.05.009
Status, C., & Trends, F. (2020). Industry 4.0 - Current
Status and Future Trends. In Industry 4.0 - Current
Status and Future Trends.
https://doi.org/10.5772/intechopen.86000
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo,
Z., Lu, S. C. Y., & Nee, A. Y. C. (2019). Digital twindriven product design framework. International
Journal of Production Research, 57(12), 3935–3953.
https://doi.org/10.1080/00207543.2018.1443229
VanDerHorn, E., & Mahadevan, S. (2021). Digital Twin:
Generalization, characterization and implementation. Decision Support Systems, 145(June 2020), 113524.
https://doi.org/10.1016/j.dss.2021.113524
Yadav, K., & Sircar, A. (2022). Modeling parameters
influencing city gas distribution sector based on factor
analysis method. Petroleum Research, 7(1), 144–154.
https://doi.org/10.1016/j.ptlrs.2021.07.003
Digital Twin as a Service (DTaaS) in Industry 4.0: An
Architecture Reference Model. Advanced Engineering
Informatics, 47(December 2020), 101225.
https://doi.org/10.1016/j.aei.2020.101225
Ali, W. A., Roccotelli, M., & Fanti, M. P. (2022). Digital
Twin in Intelligent Transportation Systems: a Review.
2022 8th International Conference on Control,
Decision and Information Technologies, CoDIT 2022,
May, 576–581.
https://doi.org/10.1109/CoDIT55151.2022.9804017
Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey
on digital twin: Definitions, characteristics,
applications, and design implications. IEEE Access,
7(Ml), 167653–167671.
https://doi.org/10.1109/ACCESS.2019.2953499
Bo, L., Jiannan, G., & Xiangdong, X. (2021). The Digital
Twin of Oil and Gas Pipeline System. IFAC
PapersOnLine, 53(5), 710–714.
Borth, M., Verriet, J., & Muller, G. (2019). Digital Twin
Strategies for SoS. 2019 14th Annual Conference
System of Systems Engineering (SoSE), 164–169.
https://ieeexplore-ieeeorg.ukzn.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber
=8753860
BP. (2022). BP Statistical Review of World Energy.
CDBB. (2020). The approach to delivering a National
Digital Twin for the United Kingdom.
https://www.cdbb.cam.ac.uk/files/approach_summaryr
eport_final.pdf
EIA. (2022). Carbon Dioxide Emissions Coefficients by
Fuel. U.S. Energy Information Administration.
https://www.eia.gov/environment/emissions/co2_vol_
mass.php
Errandonea, I., Beltrán, S., & Arrizabalaga, S. (2020).
Digital Twin for maintenance: A literature review.
Computers in Industry, 123.
https://doi.org/10.1016/j.compind.2020.103316
Garg, S. P. (2019). Safety Practices for CGD. Workshop on
Safety in CGD Industry. https://ngsindia.org/safety/
IEA. (2021a). Net Zero by 2050. In IEA.
https://doi.org/10.1787/c8328405-en
IEA. (2021b). Unlocking Net Zero in Cities Through
Sustainable Digital Transformation and Innovative
Solutions. IEA. https://www.iea.org/events/iea-atcop26-unlocking-net-zero-in-cities-throughsustainable-digital-transformation-and-innovativesolutions
IGL. (2022). Material Safety Data Sheet Natural Gas. IGL.
https://www.iglonline.net/uploads/files/Material_Safet
y_Data_Sheet-_Natural_Gas.pdf
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B.
(2020). Characterising the Digital Twin: A systematic
literature review. CIRP Journal of Manufacturing
Science and Technology, 29, 36–52.
https://doi.org/10.1016/j.cirpj.2020.02.002
Li, X., Zhang, Y., Li, C., Wang, T., & Xi, C. (2022).
Application of Digital Twin in Handling and
Transportation of Hazardous Chemicals. Applied
Sciences (Switzerland), 12(24).
https://doi.org/10.3390/app122412746
Mckinsey and Company. (2023). What is digital-twin
technology ? (Issue July).
Melesse, T. Y., Di Pasquale, V., & Riemma, S. (2020).
Digital twin models in industrial operations: A
systematic literature review. Procedia Manufacturing,
42(2019), 267–272.
https://doi.org/10.1016/j.promfg.2020.02.084
MIT Technology Review Insights;, & Shell Inc; (2022).
Digital technology : The backbone of a net-zero
emissions future. In MIT Technology Review Insights.
https://www.shell.com/energy-andinnovation/digitalisation/digitalisation-acceleratingthe-energy-transition/digitalisation-anddecarbonisation-mitreport/_jcr_content/root/main/section/call_to_action/li
nks/item0.stream/1678207879539/34a35ef0e6176ff3e
b255
Mohammadpoor, M., & Torabi, F. (2020). Big Data
analytics in oil and gas industry: An emerging trend.
Petroleum, 6(4), 321–328.
https://doi.org/10.1016/j.petlm.2018.11.001
Negri, E., Fumagalli, L., & Macchi, M. (2017). A Review
of the Roles of Digital Twin in CPS-based Production
Systems. Procedia Manufacturing, 11(June), 939–948.
https://doi.org/10.1016/j.promfg.2017.07.198
Opoku, D. G. J., Perera, S., Osei-Kyei, R., & Rashidi, M.
(2021). Digital twin application in the construction
industry: A literature review. Journal of Building
Engineering, 40(April), 102726.
https://doi.org/10.1016/j.jobe.2021.102726
PNGRB. (2008). PNGRB (Technical Standards and
Specifications including Safety Standards for City or
Local Natural Gas Distribution Networks) Regulations,
2008. PNGRB.
PNGRB. (2018). PNGRB CGD in India. In PNGRB.
PNGRB. (2023). PNGRB 12th CGD Bidding Round.
PNGRB, 93.
https://www.pngrb.gov.in/OurRegulation/pdf/GazetteRegulation/English/GSR808(E)-E.pdf
PPAC. (2023). PPAC Archive. PPAC, MoPNG.
https://ppac.gov.in/archives
Prasad, A. (2011). Risks and challenges in the speedy
execution of pipeline projects. Premium Pipeline
International Digest, October, 5–9.
Prasad, A., & Kumar, A. (2022). Supply Chain
Performance Measurement Methodology for COVID19 Disruption Recovery- Natural Gas Retailing in
India. Pacific Business Review International, 15(1),
41–55.Prasad, A., Kumar, A., & Chatnani, N. N. (2023). Carbon
Neutrality with Sustainable Supply Chain Project
Management Framework for Affordable Access to
Natural Gas in India. Pacific Business Review
International, 15(12), 1–17.
Pregnolato, M., Gunner, S., Voyagaki, E., De Risi, R.,
Carhart, N., Gavriel, G., Tully, P., Tryfonas, T.,
Macdonald, J., & Taylor, C. (2022). Towards Civil
Engineering 4.0: Concept, workflow and application of
Digital Twins for existing infrastructure. Automation in
Construction, 141(July), 104421.
https://doi.org/10.1016/j.autcon.2022.104421
PTI. (2019). $60 billion investment coming in gas
infrastructure: Dharmendra Pradhan. The Economic
Times.
https://economictimes.indiatimes.com/industry/energy
/oil-gas/60-billion-investment-coming-in-gasinfrastructure-dharmendrapradhan/articleshow/71566401.cms?from=mdr
Rajput, S., Sabharwal, N., Singh, A., Shingan, B., & Yadav,
B. P. (2022). City Gas Distribution Incident Analysis in
India using Pareto Principle: A Comprehensive
Analysis. Journal of Failure Analysis and Prevention,
22(3), 899–911. https://doi.org/10.1007/s11668-022-
01422-9
Rosen, R., Von Wichert, G., Lo, G., & Bettenhausen, K. D.
(2015). About the importance of autonomy and digital
twins for the future of manufacturing. IFACPapersOnLine, 28(3), 567–572.
https://doi.org/10.1016/j.ifacol.2015.06.141
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S.
(2017). Shaping the digital twin for design and
production engineering. CIRP Annals - Manufacturing
Technology, 66(1), 141–144.
https://doi.org/10.1016/j.cirp.2017.04.040
Semeraro, C., Lezoche, M., Panetto, H., & Dassisti, M.
(2021). Digital twin paradigm: A systematic literature
review. In Computers in Industry (Vol. 130).
https://doi.org/10.1016/j.compind.2021.103469
Shahat, E., Hyun, C. T., & Yeom, C. (2021). City digital
twin potentials: A review and research agenda.
Sustainability (Switzerland), 13(6), 1–20.
https://doi.org/10.3390/su13063386
Sircar, A., Yadav, K., Rayavarapu, K., Bist, N., & Oza, H.
(2021). Application of machine learning and artificial
intelligence in oil and gas industry. Petroleum
Research, 6(4), 379–391.
https://doi.org/10.1016/j.ptlrs.2021.05.009
Status, C., & Trends, F. (2020). Industry 4.0 - Current
Status and Future Trends. In Industry 4.0 - Current
Status and Future Trends.
https://doi.org/10.5772/intechopen.86000
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo,
Z., Lu, S. C. Y., & Nee, A. Y. C. (2019). Digital twindriven product design framework. International
Journal of Production Research, 57(12), 3935–3953.
https://doi.org/10.1080/00207543.2018.1443229
VanDerHorn, E., & Mahadevan, S. (2021). Digital Twin:
Generalization, characterization and implementation. Decision Support Systems, 145(June 2020), 113524.
https://doi.org/10.1016/j.dss.2021.113524
Yadav, K., & Sircar, A. (2022). Modeling parameters
influencing city gas distribution sector based on factor
analysis method. Petroleum Research, 7(1), 144–154.
https://doi.org/10.1016/j.ptlrs.2021.07.003
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