News › Auto  ·  2 Jul 2026, 1:38 AM IST  ·  14 days ago

Bullish for Renewables: MNRE Pushes Tailored DSM Norms; ADANIGREEN

Bias: Bullish +3280% confidenceAutoBullish read

In one line — Maintain a bullish bias on renewable energy developers and related financing companies, anticipating reduced regulatory risks.

Bearish
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Source: Economic Times · AI-summarised by Anadi · Updated 2 Jul 2026, 9:00 AM IST

Autotilt positive

What Happened

The Ministry of New and Renewable Energy (MNRE) is advocating for distinct deviation settlement mechanism (DSM) norms for wind and solar projects. They argue that renewable energy's weather-dependent nature requires a tailored approach, unlike conventional power plants, to avoid increasing financial risks.

Why It Matters (for you)

Current uniform DSM norms can impose significant penalties on renewable projects due to their inherent variability, impacting their financial viability. A tailored approach would reduce these risks, making renewable energy projects more attractive for investment and development.

Impact on Indian Markets

This development is highly positive for renewable energy developers and operators like Adani Green Energy and Tata Power, as it could lead to improved profitability and reduced operational risks. It could also encourage more investment in the sector, benefiting companies involved in renewable energy financing (e.g., REC Ltd).

What Traders Should Watch Next

Traders should closely monitor the policy discussions and final decisions regarding DSM norms for renewable energy. The implementation of a graded system that accounts for forecasting and grid readiness will be a significant catalyst for the sector.

Key Evidence

  • MNRE opposes uniform DSM norms for renewable projects.
  • Argues for a distinct deviation settlement mechanism for wind and solar projects.
  • Renewable energy's weather-dependent nature necessitates a tailored approach.
  • Aims to avoid increasing financial risks and impacting project viability.
  • Advocates for a graded system considering forecasting and grid readiness.