India's Steel Roster under CCTS: Mapping Plant-Level Baselines, Target Realities, and Trading Arbitrage
The baseline metrics are officially locked in, the compliance schedules have been set, and the market framework is now fully operational. Under Phase 1 of the Carbon Credit Trading Scheme, 253 industrial steel plants are managing binding targets alongside an absolute verification deadline that is rapidly approaching.
The MoEFCC gazette notification assigned legally binding greenhouse gas emission intensity targets to 253 Indian steel plants for the compliance periods of FY2025-26 and FY2026-27, using FY2023-24 as the reference baseline year. The notification spans the entire breadth of India's steelmaking landscape. It reaches from massive integrated facilities producing over 12 million tonnes annually down through mid-sized plants and small-scale sponge iron producers. Together, these 253 distinct operations accounted for roughly 145 million tonnes of steel production in the baseline year, capturing more than 97 percent of the nation's total output.
Every single plant included in this regulatory framework must manage two crucial deadlines simultaneously. First, they need to achieve their specific targets for the active compliance year or secure Carbon Credit Certificates (CCCs) on domestic power exchanges to cover any operational shortfall. Second, they must submit their fully verified GHG data through the ICM Portal via an Accredited Carbon Verification Agency (ACVA), with the reporting window drawing to a close in a matter of weeks.
This deep dive breaks down the gazette data across large, medium, and small producers. We map out the structural buyers and sellers in the trading ecosystem, evaluate the financial stakes at current carbon market valuations, and explore why independent economic critiques actually reinforce the strategic value of overachieving these near-term targets early.
What the gazette clarified, and the operational variables left open
8 October 2025: The final compliance rules are formally published in the Official Gazette, making the target trajectories legally binding for the upcoming compliance cycles against the FY2023-24 baseline.
21 March 2026: The Bureau of Energy Efficiency formally opens the ICM Portal, requiring all covered plants to register, upload monitoring methodologies, and prepare for annual submissions.
June to July 2026: The absolute deadline for ACVA Form A data submission arrives, where any delay triggers automatic financial penalties from central enforcement authorities.
Penalty structure: Environmental Compensation is strictly set at twice the prevailing average market price of CCCs for every tonne of carbon shortfall, due within a 90-day window from the final CPCB assessment.
There is one analytical detail that the gazette text does not explicitly itemise: the specific manufacturing technology running within each plant. The official dataset provides the legal entity name, geographical location, baseline output, and the exact reduction schedule, but it does not label whether a facility relies on blast furnaces, direct reduced iron, induction furnaces, or basic oxygen systems. Because of this, technology choices must be interpreted directly from the plant's emission intensity curve. This is the exact approach utilized by researchers at the London School of Economics Grantham Research Institute, who applied an intensity cutoff to differentiate between carbon-heavy integrated production and scrap-based electric arc furnace configurations.
The top tier: where international trade rules and domestic carbon targets converge
The 26 large units, classified as facilities producing over 1 million tonnes in the baseline year, are concentrated across India's largest corporate steel groups. These installations generate the vast majority of India's high-grade flat products and export-oriented steel, meaning they carry the absolute highest financial exposure to both domestic CCTS targets and the European Union's carbon border adjustments.
Looking at the large plant data reveals a stark bimodal split. The integrated blast furnace mills cluster tightly within a high-emissions band, showing baseline intensities between 2.3 and 3.6 tonnes of carbon per tonne of steel. Conversely, the scrap and electric arc furnace units sit in a low-emissions band between 0.14 and 0.28. The current target trajectory requires integrated producers to lower their footprint by roughly 2 percent annually, demanding consistent operational adjustments year after year.
| Plant / Corporate Group | Location | Baseline Output (est.) | Baseline GEI (tCO₂/ts) | FY2025-26 Target | FY2026-27 Target | CCTS Position |
|---|---|---|---|---|---|---|
| AMNS Hazira (ArcelorMittal Nippon Steel) | Surat, Gujarat | ~9 MT | 2.27 | ~2.22 | ~2.17 | Best-in-class integrated efficiency. Capitalizing on gas-based DRI and hybrid melting loops to stay well ahead of peer baselines. |
| Tata Steel Jamshedpur | Jharkhand | ~10 MT | 2.38 | ~2.33 | ~2.27 | Marginal tier. Operates with strong historical process efficiency but requires continuous optimization to hit step-downs. |
| Tata Steel Kalinganagar | Odisha | ~5 MT | ~2.45 | ~2.39 | ~2.31 | Balanced risk. Features a newer asset base with room for efficiency optimization via large-scale renewable open access. |
| Tata Steel BSL (Scrap-EAF Unit) | Odisha | ~4 MT | 0.15 | 0.15 | 0.14 | Structural seller. Leveraging a scrap-heavy melting route that keeps emissions multiple times lower than the integrated average. |
| JSW Steel Vijayanagar | Karnataka | ~12 MT | ~2.65 | ~2.59 | ~2.51 | Net buyer exposure. Massive production volume dramatically scales up the commercial cost of even a minor target shortfall. |
| JSW Ispat Special Products (Mandir Hasaud) | Chhattisgarh | ~3 MT | ~3.20 | ~2.88 | ~2.56 | Steepest trajectory. Managing a major reduction requirement designed to align legacy assets with optimized corporate metrics. |
| SAIL Bhilai Steel Plant | Chhattisgarh | ~7 MT | ~2.80 | ~2.74 | ~2.66 | Net buyer risk. Heavily exposed to an older blast furnace configuration that needs deep energy efficiency capital. |
| SAIL Rourkela Steel Plant | Odisha | ~4.5 MT | ~2.75 | ~2.69 | ~2.61 | Net buyer tier. Modernization plans are active, but near-term compliance depends heavily on power purchase greening. |
| SAIL Durgapur Steel Plant | West Bengal | ~2 MT | ~2.90 | ~2.83 | ~2.74 | Net buyer position. Facing clear efficiency constraints as key production assets approach long-term overhaul cycles. |
| RINL Vizag Steel Plant | Andhra Pradesh | ~7 MT | ~2.70 | ~2.64 | ~2.57 | Net buyer profile. Experiencing significant capital constraints that limit direct, deep technology upgrades in the near term. |
| JSPL Angul | Odisha | ~6 MT | ~2.50 | ~2.44 | ~2.37 | Balanced position. Blending gas-based DRI and electric furnaces to mitigate the raw footprint of integrated production. |
The most striking trend within this top tier is the massive structural spread between scrap-based melting and conventional ore reduction. While an electric arc furnace plant faces modest reduction pressure relative to its own history, its true commercial advantage lies in the wider market dynamics. Integrated facilities that find it mathematically impossible to cut emissions fast enough to match their annual targets must acquire credits from the market, turning low-carbon producers into essential market counterparties.
The DRI-induction furnace market: diverse technologies and varying carbon risk
The 113 medium-sized installations, producing between 100,000 and 1 million tonnes annually, form the most diverse and fragmented segment within the national registry. This tier includes specialty alloy producers, standalone scrap melters, and mid-sized direct reduced iron facilities. Independent assessments frequently split this group into two distinct technological profiles based on an intensity marker of 1.25 tonnes of carbon.
Facilities sitting above this marker typically rely on coal-based DRI coupled with induction furnaces. These operations face a combined reduction trajectory of roughly 4 percent over the current regulatory phase, a pace double that demanded of the larger integrated mills. On the flip side, plants operating below the 1.25 threshold represent highly efficient scrap operations or niche processors facing minimal absolute reduction pressure.
Gas-Based DRI and Electric Arc Furnaces: Concentrated primarily along western maritime trade paths. By capitalizing on natural gas processing, these installations show a much cleaner baseline profile, leaving them well insulated from sharp domestic reduction mandates.
Scrap-EAF Specialty Mills: Niche operations focused on stainless, tool, or engineering steel grades. Because their starting footprint is structurally low, they operate comfortably within the market, often acting as regular credit suppliers.
The standalone kilns: steep reduction targets and elevated data reporting risks
The 114 small installations, operating under the 100,000-tonne annual threshold, present the widest variance in carbon performance across the entire national registry. The highest-emitting kiln in this tier recorded a baseline footprint above 8.0 tonnes of carbon, typical of an unoptimized, small-scale coal rotary kiln. Conversely, the most efficient merchant sponge iron units operate near 1.35, creating a highly uneven playing field. The group as a whole holds an average baseline of 2.92.
Under the current CCTS rules, these small kilns face an average required reduction of roughly 6 percent by the end of the current phase, representing the steepest relative cut across the industry. Interestingly, the regulators deferred intermediate targets for a significant portion of these small units, pushing their first binding check to the end of the cycle. This choice likely reflects pre-existing energy saving targets or a deliberate move to grant smaller operators more lead time to formalize their data systems.
The most immediate hurdle for these smaller operations lies squarely in the verification arena. Setting up robust monitoring systems, contracting independent verifiers, and completing formal portal submissions demands administrative resources that small merchant kilns rarely possess. With a limited pool of accredited verification agencies nationwide, smaller steel mills are finding it tough to secure timely audits, escalating the risk of administrative penalties regardless of their actual plant emissions.
Predicting market balances and credit trading dynamics
Net Buyers: Integrated and Coal-DRI Facilities
Integrated mills and coal-heavy direct reduction plants face consistent pressure to optimize their thermal energy systems. While current targets can be met through aggressive waste heat recovery and optimized coal blending, any future tightening of national targets will quickly exhaust these basic engineering levers. At current market rates, a large plant running even slightly behind its target faces substantial annual credit costs, creating a clear commercial incentive to accelerate process upgrades.
Net Sellers: Scrap-EAF and Optimized Gas-DRI Mills
Producers running scrap-melting electric arc furnaces sit on a highly lucrative structural asset. Because their carbon intensity is inherently lower than any baseline target designed for the wider industry, they can routinely generate surplus certificates. Rather than viewing carbon policy as a operational cost, these players treat credit accumulation as a distinct revenue line, maximizing their returns by selling into a short market.
Evaluating compliance costs and credit revenues across typical operational scenarios
| Plant Configuration | Baseline GEI (tCO₂/ts) | Target Metric | Annual Output | Operational Performance Scenario | Estimated Commercial Impact (Rs 1,740/CCC) |
|---|---|---|---|---|---|
| Large Scrap-EAF Mill | 0.15 | 0.14 | 4.0 MT | Maintains efficient scrap charging to secure a consistent operational surplus. | Generates a surplus of roughly 40,000 credits, yielding around Rs 7 crore in market revenue. |
| Optimized Integrated Plant | 2.27 | 2.17 | 9.0 MT | Deploys advanced waste heat recapture to match the target curve exactly. | Achieves market neutrality, avoiding roughly Rs 16.7 crore in potential purchase exposure. |
| Standard Integrated Facility | 2.38 | 2.27 | 10.0 MT | Leverages steady coal blending optimizations to secure a minor outperformance buffer. | Secures a balanced position, unlocking around Rs 17 crore in potential credit sales. |
| Large Integrated Buyer | 2.65 | 2.51 | 12.0 MT | Experiences operational delays in upgrading coke systems, missing the target by 0.07. | Faces a market purchase requirement of 840,000 credits, costing roughly Rs 146 crore. |
| PSU Integrated Buyer | 2.80 | 2.66 | 7.0 MT | Runs older blast furnace loops that slip past the reduction target by 0.06. | Requires a market purchase of 420,000 certificates, representing a Rs 73 crore cost. |
| Merchant Coal-DRI Plant | 3.50 | 3.29 | 0.5 MT | Faces poor local ore quality that pushes process emissions 0.11 above target. | Incurs a compliance cost of 55,000 certificates, equating to a Rs 9.6 crore market expense. |
Preparing for subsequent regulatory phases.
Independent economic assessments emphasize that the opening phase of the CCTS focuses primarily on establishing data foundations rather than forcing immediate, radical technology shifts. Integrated mills can generally achieve their near-term step-downs through classic energy efficiency investments. However, the true strategic window closes rapidly. The next regulatory phase is highly likely to introduce much steeper reduction mandates, jumping to significant annual percentage cuts. Forward-looking operators who overachieve today and bank their surplus credits are effectively securing low-cost flexibility for a future where compliance costs are projected to scale up dramatically.
Why near-term compliance strategy dictates future market positioning
The core value of the opening CCTS phase does not lie in the absolute difficulty of its targets. For a forward-looking Chief Financial Officer, early action is an exercise in building structural option value across four distinct commercial dimensions.
First, the current phase institutionalizes the complete corporate data loop. Getting data pipelines running smoothly, anchoring relationships with accredited verifiers, and streamlining portal reporting removes execution risk before the targets tighten in future cycles.
Second, early movers can capitalize on clear pricing asymmetries. Banking cheap Phase 1 credits allows outperforming plants to accumulate a low-cost compliance reserve that can either hedge future internal obligations or be liquidated at a premium when the wider market goes short.
Third, domestic data structures map directly onto international carbon accounting rules. A plant that refines its emission monitoring system for domestic compliance automatically slashes the administrative cost of proving its carbon performance under Europe's border adjustments, safeguarding export margins through a shared data base.
Fourth, these verified emission metrics tie directly into emerging green procurement rules. India's evolving industrial standards increasingly grant formal purchasing preferences to steel that meets strict low-carbon criteria. Having verified data ready allows outperformers to capture these premium domestic infrastructure contracts, stacking corporate revenue benefits long before carbon trading values reach full maturity.
- LSE Grantham Research Institute, Selvaraju S (August 2025), What does the CCTS mean for the Indian steel sector? Primary analysis of the 253-plant gazette dataset
- MoEFCC, Draft Gazette Notification G.S.R. 405(E), 23 June 2025, Official 253-unit steel plant registry, baseline output and intensity data
- MoEFCC Final Gazette Notification, 8 October 2025, GEI Target Rules 2025, compliance frameworks and penalty allocation schedules
- ICAP Carbon Action Partnership (November 2025), India carbon market rollout updates, sector allocations and registry structures
- Anaxee Digital Runners (July 2025), Analysis of India's largest steel producers under primary CCTS tracking
- Global Energy Monitor (March 2025), Evaluating industrial asset exposure and decarbonisation curves in India's steel sector
- Reclimatize.in Research, India's Green Steel Taxonomy: Technical Thresholds and Procurement Realities
- Reclimatize.in Research, The Blast Furnace Reline-or-Retire Capital Strategy under Active Carbon Tracking