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6 Jul 2026ECONOMY3 questions

Expert Committee on Energy Statistics: India's Data Architecture for the Energy Transition

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Article summary

The Ministry of Statistics and Programme Implementation (MoSPI) released the Report of the Expert Committee on Energy Statistics in July 2026, aimed at overhauling India's framework for collecting, compiling, and disseminating energy data across sectors. India's existing energy statistics architecture has long been criticised for fragmentation — data on coal, oil, gas, electricity, and renewables is scattered across multiple ministries and agencies with inconsistent definitions and time lags. The committee's mandate was to align India's energy data systems with international frameworks such as the International Recommendations for Energy Statistics (IRES) adopted by the UN Statistical Commission. This is critical because robust energy statistics underpin India's NDC commitments under the Paris Agreement, its energy security planning, and investor confidence in the renewable energy sector. For UPSC aspirants, this sits at the intersection of GS3 economic development, energy governance, and India's climate diplomacy obligations.

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recallTests whether you read the article and retained key facts.
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applicationTests whether you can apply the concept to a new scenario.
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analysisTests whether you can reason across multiple related facts.
1Q

Sample questions — answers revealed after test

ECONOMYRecallEasy

Q1. The International Recommendations for Energy Statistics (IRES), which India's Expert Committee on Energy Statistics recommends aligning with, was adopted by which body and in which year?

AUN Statistical Commission in 2011
BInternational Energy Agency (IEA) in 2015
CUN Framework Convention on Climate Change (UNFCCC) in 2011
DUN Statistical Commission in 2015
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ECONOMYApplicationMedium

Q2. A sovereign green bond prospectus issued by India is scrutinised by a multilateral lender who finds that India's reported renewable energy capacity utilisation in official documents diverges significantly from figures in the IEA World Energy Outlook. Which of the following root causes, identified by the Expert Committee on Energy Statistics, most directly explains this divergence?

AIndia's renewable energy capacity data is collected by MNRE using definitions and accounting boundaries that are not aligned with the International Recommendations for Energy Statistics (IRES), causing systematic incompatibility with IEA databases that follow IRES standards.
BThe IEA World Energy Outlook uses purchasing power parity (PPP) adjustments for energy intensity calculations, whereas Indian official statistics use market exchange rates, creating an apparent divergence in capacity utilisation figures.
CIndia's Central Electricity Authority (CEA) is the sole data provider for renewable energy to international databases, but CEA's mandate covers only conventional electricity, leaving a data gap that the IEA fills with estimates.
DThe Statistics Act, 2008 prohibits MoSPI from sharing unit-level energy data with international organisations, forcing the IEA to rely on secondary sources that differ from official Indian figures.
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ECONOMYAnalysisHard

Q3. Consider the following statements regarding India's energy statistics framework and the recommendations of the Expert Committee on Energy Statistics: 1. The Bureau of Energy Efficiency (BEE) is responsible for demand-side efficiency metrics, while the Petroleum Planning and Analysis Cell (PPAC) covers oil and gas data — both operating under MoSPI's direct administrative control. 2. India's updated Nationally Determined Contribution (NDC) of 2022 commits to achieving 500 GW of non-fossil energy capacity and net-zero emissions by 2070. 3. The proposed Energy Statistics Coordination Committee under MoSPI would address a structural gap wherein line ministries currently have no statutory obligation to share harmonised energy data with MoSPI under the Statistics Act, 2008. 4. India's Biennial Transparency Reports (BTRs) under the Paris Agreement's Enhanced Transparency Framework replace Biennial Update Reports and require standardised energy data to calculate greenhouse gas inventories. Which of the statements given above are correct?

A2, 3 and 4 only
B1, 2 and 4 only
C1 and 3 only
D2 and 4 only
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