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Modeling Green Hydrogen Supply and Demand Dynamics in India Using System Dynamics

  • Ayush Bhaumik
  • , Rahul Sharma
  • , Sunith Hebbar*
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Study develops a System Dynamics (SD) model to predict the effects of subsidies on the price and supply of Green Hydrogen (GH) while estimating demand based on varying production costs and prices up to 2030. SD leverages feedback system theory for modelling and simulation, making it ideal for analyzing complex systems like GH production, which represents the cleanest industrial method for hydrogen fuel. In response to global sustainability concerns, the Indian Government has launched the 'National Green Hydrogen Mission.' This model provides insights into key factors affecting GH production, such as capital costs and construction timelines, and assesses their influence on the market's demand-supply gap. It also explores how different subsidy structures could shape the future of the GH market in India. Findings indicate that maintaining hydrogen plant construction times under two years is critical for achieving government targets. Moreover, implementing aggressive, short-term subsidies proves more effective in boosting hydrogen production than offering lower subsidies over extended periods. These insights can significantly guide industry decision-makers in strategizing and developing effective policies for GH's market success.

    Original languageEnglish
    Title of host publication2024 International Conference on Decision Aid Sciences and Applications, DASA 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350369106
    DOIs
    Publication statusPublished - 2024
    Event2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 - Manama, Bahrain
    Duration: 11-12-202412-12-2024

    Publication series

    Name2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

    Conference

    Conference2024 International Conference on Decision Aid Sciences and Applications, DASA 2024
    Country/TerritoryBahrain
    CityManama
    Period11-12-2412-12-24

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture
    • Decision Sciences (miscellaneous)
    • Information Systems and Management
    • Control and Optimization

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