IDEAS home Printed from https://ideas.repec.org/r/enp/wpaper/eprg0913.html
   My bibliography  Save this item

Dynamics of the UK Natural Gas Industry: System Dynamics Modelling and Long-Term Energy Policy Analysis

Citations

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


Cited by:

  1. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
  2. Abada, Ibrahim & Briat, Vincent & Massol, Olivier, 2013. "Construction of a fuel demand function portraying interfuel substitution, a system dynamics approach," Energy, Elsevier, vol. 49(C), pages 240-251.
  3. Obsatar Sinaga & Mohd Haizam Mohd Saudi & Djoko Roespinoedji & Mohd Shahril Ahmad Razimi, 2019. "The Dynamic Relationship between Natural Gas and Economic Growth: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 388-394.
  4. Jamil, Faisal, 2012. "Impact of different public E&P policies on natural gas reserves and production in Pakistan," Resources Policy, Elsevier, vol. 37(3), pages 368-374.
  5. Yanbin Li & Zhen Li, 2019. "Forecasting of Coal Demand in China Based on Support Vector Machine Optimized by the Improved Gravitational Search Algorithm," Energies, MDPI, vol. 12(12), pages 1-20, June.
  6. Armin Leopold, 2016. "Energy related system dynamic models: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 231-261, March.
  7. Wang, Jianzhou & Jiang, Haiyan & Zhou, Qingping & Wu, Jie & Qin, Shanshan, 2016. "China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1149-1167.
  8. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).
  9. Mohd Haizam Mohd Saudi & Obsatar Sinaga & Djoko Roespinoedji & Mohd Shahril Ahmad Razimi, 2019. "The role of renewable, non-renewable electricity consumption and carbon emission in development in Indonesia: Evidence from Distributed Lag Tests," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 46-52.
  10. Yunna, Wu & Kaifeng, Chen & Yisheng, Yang & Tiantian, Feng, 2015. "A system dynamics analysis of technology, cost and policy that affect the market competition of shale gas in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 235-243.
  11. Varma, Rashmi & Sushil,, 2019. "Bridging the electricity demand and supply gap using dynamic modeling in the Indian context," Energy Policy, Elsevier, vol. 132(C), pages 515-535.
  12. Zhang, Ruining & Ai, Xianneng & Li, Hui, 2023. "How to design subsidy policies for clean energy projects? A study on “coal-to-gas” project in China," Resources Policy, Elsevier, vol. 85(PB).
  13. Rooney, Matthew & Nuttall, William J. & Kazantzis, Nikolaos, 2015. "A dynamic model of the global uranium market and the nuclear fuel cycle," Resources Policy, Elsevier, vol. 43(C), pages 50-60.
  14. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
  15. Hendalianpour, Ayad & Liu, Peide & Amirghodsi, Sirous & Hamzehlou, Mohammad, 2022. "Designing a System Dynamics model to simulate criteria affecting oil and gas development contracts," Resources Policy, Elsevier, vol. 78(C).
  16. Ansari, Nastaran & Seifi, Abbas, 2012. "A system dynamics analysis of energy consumption and corrective policies in Iranian iron and steel industry," Energy, Elsevier, vol. 43(1), pages 334-343.
  17. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
  18. Jianzhong Xiao & Jinhua Cheng & Jun Shen & Xiaolin Wang, 2017. "A System Dynamics Analysis of Investment, Technology and Policy that Affect Natural Gas Exploration and Exploitation in China," Energies, MDPI, vol. 10(2), pages 1-19, January.
  19. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
  20. Kartono Sani, 2017. "Policy Development for the Energy Mix in Indonesia Using System Dynamics," GATR Journals gjbssr488, Global Academy of Training and Research (GATR) Enterprise.
  21. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
  22. Mingqi Zhang & Meirong Su & Weiwei Lu & Chunhua Su, 2015. "An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models," Energies, MDPI, vol. 8(12), pages 1-16, December.
  23. Schipperus, Ouren T. & Mulder, Machiel, 2015. "The effectiveness of policies to transform a gas-exporting country into a gas-transit country: The case of The Netherlands," Energy Policy, Elsevier, vol. 84(C), pages 117-127.
  24. Hosseini, Seyed Hossein & Shakouri G., Hamed, 2016. "A study on the future of unconventional oil development under different oil price scenarios: A system dynamics approach," Energy Policy, Elsevier, vol. 91(C), pages 64-74.
  25. Guseo, Renato & Mortarino, Cinzia & Darda, Md Abud, 2015. "Homogeneous and heterogeneous diffusion models: Algerian natural gas production," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 366-378.
  26. Shin, Juneseuk & Shin, Wan-Seon & Lee, Changyong, 2013. "An energy security management model using quality function deployment and system dynamics," Energy Policy, Elsevier, vol. 54(C), pages 72-86.
  27. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
  28. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
  29. Zhihua Chen & Hui Wang & Tongxia Li & Ieongcheng Si, 2021. "Demand for Storage and Import of Natural Gas in China until 2060: Simulation with a Dynamic Model," Sustainability, MDPI, vol. 13(15), pages 1-19, August.
  30. Chai, Kah-Hin & Yeo, Catrina, 2012. "Overcoming energy efficiency barriers through systems approach—A conceptual framework," Energy Policy, Elsevier, vol. 46(C), pages 460-472.
  31. Yudha Prambudia & Masaru Nakano, 2012. "Integrated Simulation Model for Energy Security Evaluation," Energies, MDPI, vol. 5(12), pages 1-25, December.
  32. Tang, Ou & Rehme, Jakob, 2017. "An investigation of renewable certificates policy in Swedish electricity industry using an integrated system dynamics model," International Journal of Production Economics, Elsevier, vol. 194(C), pages 200-213.
  33. Xiaopeng Guo & Yanan Wei & Jiahai Yuan, 2016. "Will the Steam Coal Price Rebound under the New Economy Normalcy in China?," Energies, MDPI, vol. 9(9), pages 1-13, September.
  34. Auping, Willem L. & Pruyt, Erik & de Jong, Sijbren & Kwakkel, Jan H., 2016. "The geopolitical impact of the shale revolution: Exploring consequences on energy prices and rentier states," Energy Policy, Elsevier, vol. 98(C), pages 390-399.
  35. Gao, Jiayang & Zhang, Tao, 2022. "Effects of public funding on the commercial diffusion of on-site hydrogen production technology: A system dynamics perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  36. Koul, Saroj & Falebita, Oluwabunmi A. & Akinbami, John-Felix K. & Akarakiri, Joshua B., 2016. "System dynamics, uncertainty and hydrocarbon resources modelling: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 199-205.
  37. Cai, Zhiming & Clarke, Richard H. & Glowacki, Bartek A. & Nuttall, William J. & Ward, Nick, 2010. "Ongoing ascent to the helium production plateau--Insights from system dynamics," Resources Policy, Elsevier, vol. 35(2), pages 77-89, June.
  38. Aslani, Alireza & Helo, Petri & Naaranoja, Marja, 2014. "Role of renewable energy policies in energy dependency in Finland: System dynamics approach," Applied Energy, Elsevier, vol. 113(C), pages 758-765.
  39. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  40. Azadeh, A. & Asadzadeh, S.M. & Mirseraji, G.H. & Saberi, M., 2015. "An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 47-63.
  41. Reza Darisavi Bahmanshir & Ali Akbar Naji Meidani & Mahdi Khodaparast Mashhadi & Narges Salehnia, 2018. "Reversibility Test of Oil Demand Function of OECD Countries Importing Oil from Iran with an Emphasis on Technological and Environmental Considerations: Symmetric and Asymmetric Models," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 132-139.
  42. Kiani, Behdad & Ali Pourfakhraei, Mohammad, 2010. "A system dynamic model for production and consumption policy in Iran oil and gas sector," Energy Policy, Elsevier, vol. 38(12), pages 7764-7774, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.