Modeling study demonstrates wide spatial and temporal variability in power grid marginal emissions, highlighting the need for targeted clean energy interventions.
High Resolution Image Download MS PowerPoint Slide Emission factors from Indian electricity remain poorly characterized, despite known spatial and temporal variability. Limited publicly available emissions and generation data at sufficient detail make it difficult to understand the consequences of emissions to climate change and air pollution, potentially missing cost-effective policy designs for the world’s third largest power grid. We use reduced-form and full-form power dispatch models to quantify current (2017–2018) and future (2030–2031) marginal CO 2, SO 2, NO X, and PM 2.5 emission factors from Indian power generation. These marginal emissions represent emissions changes due to small changes in demand. For 2017–2018, spatial variability in marginal CO 2 emission factors range 3 orders of magnitude across India’s states. There is limited seasonal and intraday variability with coal generation likely to meet changes in demand more than half the time in more than half of the states. Assuming the Government of India approximate 2030 targets, the median marginal CO 2 emission factor across states decreases by approximately a factor of 2, but emission factors still span 3 orders of magnitude across states. Under 2030–2031 assumptions there is greater seasonal and intraday variability by up to factors of two and four, respectively. Estimates provide emission factors to evaluate interventions such as electric vehicles, increased air conditioning, and energy efficiency.
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Sengupta et al. (2022) studied this question.
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