India's Open Access Renewable Energy Market in 2026: What the State-by-State Data Actually Shows

India's Open Access Renewable Energy Market in 2026: What the State-by-State Data Actually Shows

In 2009, Open Access renewable power in India barely registered: around 300 megawatts nationwide, less than what a single mid-sized steel plant draws from the grid today. By December 2025, that figure had crossed 30 gigawatts — a hundredfold increase in sixteen years.

For a business owner, that’s a procurement opportunity. For a policymaker, it’s evidence of which regulatory choices actually move markets. For a researcher, it’s an unusually clean natural experiment in what happens when large electricity consumers are allowed to choose their own power source. This piece looks at the same underlying data through each of those three lenses, because increasingly, the same numbers matter to all three.

The market in numbers, mid-2026

• India’s total renewable energy capacity: 282.75 GW (MNRE, May 2026)
• Open Access renewable capacity: crossed 30 GW in December 2025, up from roughly 10 GW in FY2022
• Broader C&I renewable segment (CRISIL forecast): ~40 GW by the end of FY2026, ~57 GW by FY2028
• Landed-cost gap between the most and least favourable states: roughly ₹1.50–2.00 per unit
• Projected clean-energy jobs tied to India’s 2030 targets: 44+ lakh (CEEW-NRDC, June 2026)

What “Open Access” Means, Briefly

Open Access is the mechanism, created under India’s Electricity Act, 2003, that lets large commercial and industrial (C&I) electricity consumers buy power directly from a generator, usually a solar, wind, or hybrid renewable project, instead of buying exclusively through their state distribution company, or DISCOM. The electricity still travels over the same grid; what changes is who sells it, and at what price. We’ve covered the mechanics and the three common procurement structures in detail in an earlier piece on why large industries are moving to Open Access. This article takes that groundwork as read and goes straight to what the data says about how the market is actually behaving in 2026.

The National Numbers: A Market That Compounded Faster Than Most Models Expected

India’s total renewable energy capacity stood at 282.75 GW as of end-May 2026, with total non-fossil capacity, including nuclear, at 291.53 GW, according to Ministry of New and Renewable Energy (MNRE) data. FY 2025-26 alone added 55.29 GW of non-fossil capacity, the largest single-year addition on record and nearly double the 29.5 GW added the year before. India now ranks third globally in renewable energy installed capacity according to IRENA’s Renewable Energy Statistics 2026, having overtaken Brazil.

Most of that capacity is utility-scale generation sold to DISCOMs or built under central tenders, with little direct connection to Open Access. But the Open Access slice of the market has grown faster than the headline number. From around 300 MW in 2009, it reached roughly 10 GW by fiscal year 2022, according to research from IEEFA and JMK Research. It then nearly tripled over the following three and a half years: approximately 24.6 GW by mid-2025, 27.9 GW by September 2025, and past 30 GW by December 2025, based on industry estimates. CRISIL Research projects the broader commercial and industrial renewable segment (which combines Open Access, rooftop, and captive capacity) will reach around 40 GW by the end of FY2026 and 57 GW by FY2028. MNRE Secretary Santosh Kumar Sarangi has separately projected that overall C&I renewable demand could reach 60–80 GW by 2030, driven substantially by data centres and expanding manufacturing capacity.

Here’s why that matters at a macro level: commercial and industrial consumers account for roughly half of India’s total electricity consumption, and that demand is growing at close to 10% a year. A rising share of the new demand is being met entirely outside the DISCOM billing relationship.

The 2022 Rule Change That Unlocked the Next Phase

Two regulatory changes explain much of the acceleration. The Green Energy Open Access (GEOA) Rules, notified by the Ministry of Power in 2022, lowered the minimum connected-load threshold for renewable Open Access from 1 megawatt (MW) to 100 kilowatts (kW). That opened the door to a much larger set of mid-sized consumers: hospitals, IT parks, shopping complexes, and smaller manufacturing units that previously didn’t qualify. The rules also mandated defined approval timelines, generally around 15 days for standard applications, and prohibited DISCOMs from arbitrarily denying Open Access applications. That addressed one of the most frequently cited barriers to adoption.

The effect is visible in the FY2026 numbers. C&I consumers added approximately 15 GW of new solar capacity in FY 2025-26, about a third of all solar capacity added that year and a 150% jump from roughly 10 GW in FY2025, according to MNRE data. Wind followed a similar pattern: C&I and captive projects accounted for close to three-quarters of new wind capacity added over the same period.

The State-by-State Divide: Why the Same Solar Tariff Produces a Different Bill

Here the national growth story gets more complicated, and more directly useful if you’re the one making a location or procurement decision.

The generation tariff for utility-scale solar power (what a developer actually charges for the electricity itself) has become fairly uniform across India, typically ₹2.20 to ₹2.80 per unit at competitive auction. What isn’t uniform is everything added on top of it before that power reaches a factory meter: wheeling charges, transmission losses, and, by far the largest and most variable line item, the Cross-Subsidy Surcharge, or CSS.

CSS exists because India’s electricity tariff structure has historically used industrial and commercial consumers to subsidise cheaper power for agricultural and residential consumers. When a large C&I consumer switches to Open Access, the DISCOM loses that cross-subsidy contribution. CSS, set independently by each state’s Electricity Regulatory Commission (SERC) and revised periodically, is designed to partially recover it. Because every SERC sets its own number, the same solar tariff can arrive at a very different landed cost depending on which state a facility happens to sit in.

Analysts modelling this gap put the difference between the most and least favourable major industrial states at roughly ₹1.50 to ₹2.00 per unit — comparing an illustrative best case, such as Odisha, which offers up to 50% CSS exemption for Open Access renewable procurement and can bring landed cost close to ₹3.74 per unit, against a higher-surcharge state where landed cost can approach ₹6.50–7.00 per unit for the same underlying solar tariff. The exact figure for any given facility depends on consumer category, voltage level, and procurement structure. Captive and Group Captive arrangements are typically exempt from CSS altogether, which is precisely why they’ve become the default structure in higher-surcharge states.

The qualitative pattern holds up across every source we reviewed for this piece. Gujarat and Karnataka are consistently cited as having the most Open Access-friendly frameworks in the country, with Karnataka’s CSS estimated at around ₹0.60 per unit in recent industry tracking. Odisha’s partial CSS exemption makes it competitive for large industrial loads despite having less renewable generation capacity of its own. Maharashtra and Tamil Nadu are just as consistently flagged for higher surcharges and more restrictive banking rules. That’s notable given that Maharashtra is India’s single largest industrial electricity market. Our own tracking of Maharashtra’s current charges puts Third-Party Open Access CSS at approximately ₹0.80 to ₹1.20 per unit, with landed cost typically in the ₹4.00–4.80 per unit range: a real saving over DISCOM tariff, just a smaller one than a Gujarat or Karnataka facility would typically see. (Full detail is on our Maharashtra Open Access Regulatory Policies page, updated as MERC issues new orders.)

CSS figures move with each SERC’s tariff orders and vary further by consumer category and voltage level. This table reflects recent industry tracking rather than a single official all-India schedule.

For Policymakers: What the Economic Evidence Shows

Two bodies of independent evidence are directly relevant to anyone evaluating Open Access policy on its economic merits, separate from any political debate about energy strategy.

The first is employment. A June 2026 study by the Council on Energy, Environment and Water (CEEW) and NRDC India, produced with technical guidance from MNRE, estimates that India’s 500 GW non-fossil capacity target and the National Green Hydrogen Mission together could generate more than 44 lakh full-time-equivalent jobs by 2030. Selected clean-energy sectors already added around 6.5 lakh workers between FY2023 and FY2026. Rooftop solar, which sits adjacent to and sometimes overlaps with C&I Open Access adoption, is projected to be the single largest contributor, largely because it requires far more labour per megawatt than utility-scale generation.

The second is price and wage effects at the plant level. A study using plant-level administrative data across Indian states, available via ScienceDirect, finds that state-level Open Access reform is associated with a decline in electricity prices and an increase in labour’s share of value added, with the effect strongest for plants most dependent on grid electricity. The same study finds these effects are larger in states where agriculture contributes more of the DISCOM’s electricity revenue, because those DISCOMs face less financial pressure to resist Open Access migration and tend to set lower surcharges as a result. That finding lines up closely with the state-by-state CSS pattern above: different states arrive at a different subsidy math, and that math is what determines how much of Open Access’s benefit actually reaches industry and workers.

Whether to permit Open Access is already settled at the central level, under the Electricity Act and the 2022 GEOA Rules. The open question left to each state regulator is how to calibrate surcharge design: balancing DISCOM revenue stability against the faster industrial cost relief and labour-market gains this research associates with lower surcharges.

For Researchers and Academics: Where the Primary Data Lives

For anyone studying this market rather than transacting in it, a few sources are worth knowing. MNRE publishes monthly physical-progress bulletins with state-wise installed capacity. The Central Electricity Authority publishes generation data. Each SERC’s tariff orders are the actual legal instruments that set CSS and Additional Surcharge, usually available on the commission’s own website, and they are the primary sources underlying most of the secondary analysis in this piece. Industry research houses, including JMK Research, CRISIL, and IEEFA, publish periodic Open Access market-sizing reports that fill in aggregates the government datasets don’t directly report. The plant-level study cited above is a useful model for how administrative data can be used to isolate the causal effect of a state-level policy change, something aggregate capacity figures alone can’t really do.

For Business Leaders: Turning This Into a Procurement Decision

None of the state-by-state gap above is academic if you’re the one signing a Power Purchase Agreement (PPA). Three things follow directly from it:

• Let your state’s CSS level decide your procurement model, not the other way around. In lower-CSS states such as Gujarat or Karnataka, Third-Party Open Access is often close to the optimal structure: no equity stake, no capital expenditure, and the fastest path to implementation. In higher-surcharge states such as Maharashtra or Tamil Nadu, Group Captive arrangements, which require co-owning at least 26% of the project but eliminate CSS entirely, tend to close the gap and often outperform Third-Party on landed cost over a 10-year PPA term.
• Approval timelines are now more predictable than charges. With GEOA’s mandated timelines in place, an 8–16 week window from application to first power delivery has become typical across most major states. The bigger variable today is charge structure, not process delay.
• Multi-site operators have a genuine arbitrage opportunity. A group with facilities across more than one state can route new capacity expansion toward lower-CSS states where feasible, or shift existing facilities toward Group Captive structures where CSS is structurally higher.

If you want to see where your own facility and state land on this, our Solar Cost Savings Calculator gives a preliminary landed-cost estimate in a few minutes, and our advisory team can build a facility-specific feasibility model at no cost.

Where This Goes by 2030

If C&I renewable capacity reaches even the lower end of MNRE’s 60–80 GW projection by 2030, it will account for a substantial share of India’s incremental non-fossil capacity addition for the rest of this decade. The state-by-state CSS gap described above will probably widen before it narrows: states that lower surcharges to attract industrial investment gain a visible, measurable advantage in the capacity data, and that kind of advantage tends to draw a policy response from states watching investment go elsewhere.

For business leaders, that argues for locking in Open Access arrangements while current tariffs and available capacity remain favourable, rather than waiting for a cross-state parity that may take years to arrive. For policymakers, the CSS gap is itself a piece of revealed-preference data on which regulatory settings the market actually responds to. For researchers, it’s a live dataset that will keep generating new state-level and plant-level natural experiments for years to come.

Quick Answers

How large is India’s Open Access renewable energy market in 2026? Cumulative Open Access renewable capacity crossed 30 GW in December 2025, up from around 10 GW in FY2022 and roughly 300 MW in 2009. CRISIL Research projects the broader C&I renewable segment, including rooftop and captive capacity, will reach approximately 40 GW by the end of FY2026.

Which Indian state has the most favourable Open Access policy? Gujarat and Karnataka are the states most consistently cited by industry analysts as having the most favourable Open Access frameworks, largely due to lower Cross-Subsidy Surcharges and fewer procedural restrictions. Odisha is also competitive for large industrial loads because of a partial CSS exemption.

What is Cross-Subsidy Surcharge (CSS), and why does it vary by state? CSS is a charge that compensates a DISCOM for revenue lost when a large consumer switches to Open Access. Each State Electricity Regulatory Commission sets and revises its own CSS rate independently, which is why the same solar tariff can produce a materially different landed cost from one state to another.

Open Access Exchange tracks state-level policy changes, CSS revisions, and Open Access market data across India as part of our end-to-end advisory work, from feasibility and regulatory compliance through execution and monitoring. Explore our services or talk to our team  for a facility-specific analysis.

Related reading:

→Why Large-Scale Industries in India Can No Longer Afford to Ignore Open Access Renewable Energy in 2026 and Beyond

→India’s Renewable Decade: How Open Access Took Shape

→Maharashtra Open Access Regulatory Policies