White papers
Published: 28 July 2023

Surfacing Supply of Near-Zero Emissions Fuels and Materials in India

To reduce greenhouse gas emissions to net zero by 2050, we need to bring the right technologies to commercial scale within the next decade. This is especially the case for seven of the hardest-to-abate sectors – aluminium, aviation, chemicals, concrete, shipping, steel and trucking – responsible for more than one-third of the world’s carbon emissions. Breakthrough technologies to decarbonize these industries exist – from clean hydrogen to sustainable aviation fuel to carbon capture and storage – but they remain expensive and niche. Without sufficient demand from the private sector or policy support from the public sector, these technologies will not scale up in time to deliver the decarbonization the world needs by mid-century.

To reduce greenhouse gas emissions to net zero by 2050, we need to bring the right technologies to commercial scale within the next decade. This is especially the case for seven of the hardest-to-abate sectors – aluminium, aviation, chemicals, concrete, shipping, steel and trucking – responsible for more than one-third of the world’s carbon emissions. Breakthrough technologies to decarbonize these industries exist – from clean hydrogen to sustainable aviation fuel to carbon capture and storage – but they remain expensive and niche. Without sufficient demand from the private sector or policy support from the public sector, these technologies will not scale up in time to deliver the decarbonization the world needs by mid-century.

This white paper reports on the outcomes of the First Movers Coalition India workshop, which took place on 11-13 July 2023 and focused on three sectors: aviation, cement and concrete, and steel. The workshop aimed to: identify the existing potential within India to scale up the supply of these technologies; analyse the challenges and barriers to increasing both demand and supply of these near-zero emission solutions; and translate the outcomes of the workshop into recommendations.

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