IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v238y2019icp1108-1125.html
   My bibliography  Save this article

Modeling India’s energy future using a bottom-up approach

Author

Listed:
  • de la Rue du Can, Stephane
  • Khandekar, Aditya
  • Abhyankar, Nikit
  • Phadke, Amol
  • Khanna, Nina Zheng
  • Fridley, David
  • Zhou, Nan

Abstract

India and China are the world’s most populous nations, but they have experienced a very different pattern of economic development. As a result, India currently contributes less than one-quarter of the amount of China’s carbon dioxide (CO2) emissions. However, India’s forecasted economic growth suggests that those emissions will almost quadruple, with much of this rise coming from the industry sector. Whole-economy scenarios for limiting global warming suggest that direct CO2 emissions should decrease significantly, but leave unanswered the question of how this can be achieved by real-world policies. This study describes a bottom-up model that can be used to assess the impacts of emissions mitigation policies and the linkages between the physical drivers and energy growth of India’s key industries. It focuses on capturing the main physical drivers of this growth, to identify and prioritize the subsectors to address and develop sustainable, low carbon pathways to support economic growth. This analysis shows that India can achieve its Nationally Determined Contribution (NDC) while achieving substantial economic growth using its currently planned policies. The study describes in detail the methodology and underlying assumptions that are needed by policy makers to inform targeted policy interventions and provide a baseline scenario in the case of no major new technology breakthroughs and no new adopted policies.

Suggested Citation

  • de la Rue du Can, Stephane & Khandekar, Aditya & Abhyankar, Nikit & Phadke, Amol & Khanna, Nina Zheng & Fridley, David & Zhou, Nan, 2019. "Modeling India’s energy future using a bottom-up approach," Applied Energy, Elsevier, vol. 238(C), pages 1108-1125.
  • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:1108-1125
    DOI: 10.1016/j.apenergy.2019.01.065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919300674
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.01.065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Catherine Wolfram & Orie Shelef & Paul Gertler, 2012. "How Will Energy Demand Develop in the Developing World?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 119-138, Winter.
    2. de la Rue du Can, Stephane & Price, Lynn & Zwickel, Timm, 2015. "Understanding the full climate change impact of energy consumption and mitigation at the end-use level: A proposed methodology for allocating indirect carbon dioxide emissions," Applied Energy, Elsevier, vol. 159(C), pages 548-559.
    3. Alós-Ferrer, Carlos & Hügelschäfer, Sabine & Li, Jiahui, 2017. "Framing effects and the reinforcement heuristic," Economics Letters, Elsevier, vol. 156(C), pages 32-35.
    4. Bhattacharyya, Subhes C., 2015. "Influence of India’s transformation on residential energy demand," Applied Energy, Elsevier, vol. 143(C), pages 228-237.
    5. N/A, 2017. "Editorial announcement," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 311-311, February.
    6. Helgesen, Per Ivar & Tomasgard, Asgeir, 2018. "From linking to integration of energy system models and computational general equilibrium models – Effects on equilibria and convergence," Energy, Elsevier, vol. 159(C), pages 1218-1233.
    7. Jean Charles Hourcade & Mark Jaccard & Chris Bataille & Frédéric Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges," Post-Print halshs-00471234, HAL.
    8. Ding Du, 2017. "US macroannouncements and international asset pricing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 352-367, October.
    9. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    10. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    11. Alexander R. Barron, 2018. "Time to refine key climate policy models," Nature Climate Change, Nature, vol. 8(5), pages 350-352, May.
    12. Jean-Charles Hourcade, Mark Jaccard, Chris Bataille, and Frederic Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-12.
    13. Javalgi, Rajshekhar (Raj) G. & Grossman, David A., 2016. "Aspirations and entrepreneurial motivations of middle-class consumers in emerging markets: The case of India," International Business Review, Elsevier, vol. 25(3), pages 657-667.
    14. Felix Creutzig & Peter Agoston & Jan Christoph Goldschmidt & Gunnar Luderer & Gregory Nemet & Robert C. Pietzcker, 2017. "The underestimated potential of solar energy to mitigate climate change," Nature Energy, Nature, vol. 2(9), pages 1-9, September.
    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. Sachs, Julia & Moya, Diego & Giarola, Sara & Hawkes, Adam, 2019. "Clustered spatially and temporally resolved global heat and cooling energy demand in the residential sector," Applied Energy, Elsevier, vol. 250(C), pages 48-62.
    2. Kumar, Sandeep & Muhuri, Pranab K., 2019. "A novel GDP prediction technique based on transfer learning using CO2 emission dataset," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Kumar, Pankaj & Banerjee, Rangan & Mishra, Trupti, 2020. "A framework for analyzing trade-offs in cost and emissions in power sector," Energy, Elsevier, vol. 195(C).
    4. Shimoda, Yoshiyuki & Sugiyama, Minami & Nishimoto, Ryuya & Momonoki, Takashi, 2021. "Evaluating decarbonization scenarios and energy management requirement for the residential sector in Japan through bottom-up simulations of energy end-use demand in 2050," Applied Energy, Elsevier, vol. 303(C).
    5. Kumar, Vinod Vijay & Shastri, Yogendra & Hoadley, Andrew, 2020. "A consequence analysis study of natural gas consumption in a developing country: Case of India," Energy Policy, Elsevier, vol. 145(C).
    6. Rajasekaran Rajamoorthy & Hemachandira V. Saraswathi & Jayanthi Devaraj & Padmanathan Kasinathan & Rajvikram Madurai Elavarasan & Gokulalakshmi Arunachalam & Tarek M. Mostafa & Lucian Mihet-Popa, 2022. "A Hybrid Sailfish Whale Optimization and Deep Long Short-Term Memory (SWO-DLSTM) Model for Energy Efficient Autonomy in India by 2048," Sustainability, MDPI, vol. 14(3), pages 1-35, January.
    7. Laha, Priyanka & Chakraborty, Basab, 2021. "Cost optimal combinations of storage technologies for maximizing renewable integration in Indian power system by 2040: Multi-region approach," Renewable Energy, Elsevier, vol. 179(C), pages 233-247.
    8. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Yawale, Satish Kumar & Hanaoka, Tatsuya & Kapshe, Manmohan & Pandey, Rahul, 2023. "End-use energy projections: Future regional disparity and energy poverty at the household level in rural and urban areas of India," Energy Policy, Elsevier, vol. 182(C).
    10. Ma, Meiyan & Tang, Xu & Shi, Changning & Wang, Min & Li, Xinying & Luo, Pengfei & Zhang, Baosheng, 2023. "Roadmap towards clean and low-carbon heating to 2060: The case of northern urban region in China," Energy, Elsevier, vol. 284(C).

    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. Pizarro-Alonso, Amalia & Ravn, Hans & Münster, Marie, 2019. "Uncertainties towards a fossil-free system with high integration of wind energy in long-term planning," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Roberts, Simon H. & Foran, Barney D. & Axon, Colin J. & Warr, Benjamin S. & Goddard, Nigel H., 2018. "Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom," Applied Energy, Elsevier, vol. 228(C), pages 409-425.
    3. Ekaterina Rhodes & Kira Craig & Aaron Hoyle & Madeleine McPherson, 2021. "How Do Energy-Economy Models Compare? A Survey of Model Developers and Users in Canada," Sustainability, MDPI, vol. 13(11), pages 1-39, May.
    4. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Felder, F.A. & Kumar, P., 2021. "A review of existing deep decarbonization models and their potential in policymaking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Rhodes, Ekaterina & Hoyle, Aaron & McPherson, Madeleine & Craig, Kira, 2022. "Understanding climate policy projections: A scoping review of energy-economy models in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    7. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    8. Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle Treut & Meicong Liang, 2022. "The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-37, January.
    9. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    10. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    11. Omar Shafqat & Elena Malakhtka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    12. Martin T. Ross, Patrick T. Sullivan, Allen A. Fawcett, and Brooks M. Depro, 2014. "Investigating Technology Options for Climate Policies: Differentiated Roles in ADAGE," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    13. Sebastian Rausch and Valerie J. Karplus, 2014. "Markets versus Regulation: The Efficiency and Distributional Impacts of U.S. Climate Policy Proposals," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    14. Pablo Pintos & Pedro Linares, 2016. "Assessing the EU ETS with an Integrated Model," Working Papers 01-2016, Economics for Energy.
    15. Boeters, Stefan & Koornneef, Joris, 2011. "Supply of renewable energy sources and the cost of EU climate policy," Energy Economics, Elsevier, vol. 33(5), pages 1024-1034, September.
    16. Trutnevyte, Evelina & McDowall, Will & Tomei, Julia & Keppo, Ilkka, 2016. "Energy scenario choices: Insights from a retrospective review of UK energy futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 326-337.
    17. Andersen, Kristoffer S. & Termansen, Lars B. & Gargiulo, Maurizio & Ó Gallachóirc, Brian P., 2019. "Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models," Energy, Elsevier, vol. 169(C), pages 277-293.
    18. Julie Rozenberg & Stéphane Hallegatte & Adrien Vogt-Schilb & Olivier Sassi & Céline Guivarch & Henri Waisman & Jean Charles Hourcade, 2010. "Climate policies as a hedge against the uncertainty on future oil supply," Working Papers hal-00866449, HAL.
    19. Jacques Després & Patrick Criqui & Silvana Mima & Nouredine Hadjsaid & Isabelle Noirot, 2014. "Variable renewable energies and storage development in long term energy modelling tools," Post-Print hal-01279467, HAL.
    20. Mark Jaccard and Suzanne Goldberg, 2014. "Technology Assumptions and Climate Policy: The Interrelated Effects of U.S. Electricity and Transport Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).

    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:eee:appene:v:238:y:2019:i:c:p:1108-1125. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.