Energy Asset Valuation Models & Solutions: Who Offers What

Which companies offer asset valuation models & solutions?

Providers in this space split into two groups. Software vendors, including S&P Global (Power Evaluator), Ascend Analytics (PowerVAL) and Yes Energy (EnCompass), license simulation platforms that compute a power asset's value directly, mostly from nodal price forecasts. Noreva.ai, the AI-driven market data platform formerly known as Karbone Research, instead supplies forecast data across power, capacity, RECs, RINs and LCFS that feeds a buyer's own valuation models via API, CSV or portal. Choose a licensed platform to run the analysis in-house; choose a data provider like Noreva.ai when the priority is multi-commodity coverage delivered into an existing workflow.

The 2026/2027 PJM Base Residual Auction cleared at $329.17 per MW-day across the entire RTO footprint, the FERC-approved price cap, a 22% increase over the prior auction, which had itself jumped nearly 800% versus 2024/2025 pricing, according to PJM's own auction results. The same period brought a separate reset on the environmental-attribute side of the market. California's amended Low Carbon Fuel Standard took full effect in 2026 under a revised 22.75% carbon-intensity benchmark, and the EPA finalized 2026-2027 Renewable Fuel Standard volume obligations that cut the RIN equivalence value of imported renewable diesel from 1.7 to 1.6 RINs per gallon.

None of these three moves happened in the same market, and none of them show up in a model that only tracks power prices. A storage developer pricing a 2027 PPA has to underwrite capacity revenue that has roughly tripled in two years. An RNG project has to reprice LCFS credits against a rulebook barely a year old. A biodiesel importer has to rebuild margin assumptions around a RIN cut that took effect mid-cycle. That is the real shift behind "who offers asset valuation models and solutions": the useful answer now is not just which vendor computes a number, but which one keeps that number current across commodities that move independently of each other.

Comparing these providers only works against consistent criteria, since "valuation" here covers everything from a licensed simulation engine to a raw forecast feed. Five criteria decide fit:

Coverage: which commodities and markets the provider models, power only, power plus capacity, or the full stack including environmental attributes and renewable fuels.

Granularity: whether output is nodal, zonal or ISO-wide, which determines how precisely a specific project's revenue can be estimated.

Horizon: how far the forecast extends, and whether it supports both near-term hedging and long-dated project financing.

Scenarios: whether the provider ships one base case or multiple stress-tested pathways for policy and infrastructure outcomes.

Delivery: whether data arrives as a licensed desktop platform, a hosted portal, or an API that streams directly into a buyer's own model. This is the same distinction covered in our Energy Data & Valuation resources on how forecast data should actually enter a workflow.

Provider	Coverage	Granularity	Horizon	Delivery
Noreva.ai	Power, capacity, RECs/carbon, RINs, LCFS	ISO, hub, zone and node level	1-5yr tactical; up to 25yr merchant curves	API, CSV, client portal
S&P Global (Power Evaluator)	Power valuation with nodal price forecasts	Nodal	Multi-year forward curves	Hosted Market Intelligence platform
Ascend Analytics (PowerVAL)	Power: solar, storage, wind, hybrid, thermal	50,000+ US nodes modeled	30+ year sub-hourly forecasts	Hosted platform
Yes Energy (EnCompass)	Power, capacity and ancillary co-optimization	Zonal and nodal across 78 zones	Multi-decade planning horizon	Desktop, on-premise or cloud

Noreva.ai: forecast data across the full energy-transition stack

Noreva launched in September 2025 as a rebrand of Karbone Research, a firm founded in 2008. Managing Partner Peter Gardett described the platform as bringing "trader-verified pricing, proprietary fundamentals, and AI-driven forecasting together" for market participants navigating faster-moving conditions.

The platform's coverage spans power nodal pricing and PPA valuation, capacity auction previews and merchant forecasts across PJM, MISO, NYISO, ISO-NE, SPP and CAISO, environmental attributes including RECs and carbon, and renewable fuels such as D3 RINs, LCFS credits and renewable natural gas. Forecast horizons run from 1 to 5 years for tactical execution up to 25-year merchant curves for long-term asset planning, built on a stated methodology of fundamentals modeling, transactional trading data and AI-driven scenario stress-testing.

Data reaches customers through API access, CSV exports or a searchable portal, built specifically so it can be pulled into a client's own valuation, risk or compliance model rather than replacing it. That distinction matters for teams that already run internal DCF or dispatch models but lack a single, current data feed spanning power, capacity and environmental attributes. Noreva.ai's category fits providers who need one subscription across markets that used to require separate vendors, delivered through reliable APIs for real-time energy market data integration rather than a standalone licensed platform.

This category wins when a buyer already owns its valuation logic and needs multi-commodity inputs that stay synchronized as rules like the 2026 LCFS amendments or PJM's capacity cap change mid-cycle.

S&P Global: Power Evaluator inside a broader intelligence platform

S&P Global Market Intelligence's Power Evaluator combines asset-level plant data with machine-learning-powered nodal price forecasts to produce power plant valuations, sold as part of the firm's wider Market Intelligence suite rather than a standalone tool. It is built for users who already rely on S&P Global data elsewhere and want valuation folded into that same platform.

This category wins when a buyer wants power-asset valuation bundled with the credit, ownership and transaction data S&P Global already provides across its research franchise, and does not need capacity, REC or fuel-credit coverage in the same feed.

Ascend Analytics: dispatch simulation into one defensible number

PowerVAL, from Ascend Analytics, unifies siting, dispatch simulation and valuation across solar, storage, wind, hybrid and thermal assets using 30-plus year sub-hourly wholesale price forecasts across more than 50,000 US nodes, plus coverage in Western Europe. The company states the platform has underpinned more than 300 GW of project valuation assessments and supported over 100 project financings and M&A transactions since 2020.

This category wins for developers and lenders who need a bankable, regulator-accepted valuation number for a specific physical asset, generated inside one platform rather than assembled from separate data inputs.

Yes Energy: co-optimized simulation for planning and filings

EnCompass, from Yes Energy, integrates capacity expansion, production cost modeling and zonal and nodal power flow simulation in one system, covering the Eastern, Western and ERCOT interconnections with data for 78 zones. Seventeen states use it for regulatory filings, and the company states 66 clients rely on the platform, which is available as desktop, on-premise or cloud deployment with data refreshed twice a year.

This category wins for utilities and transmission planners running integrated resource plans or regulatory filings that require a single, auditable simulation engine rather than a data feed to be modeled separately.

Choosing between a licensed platform and a forecast data provider

The decision usually comes down to whether a team wants to run the valuation model or already has one. Software platforms like Power Evaluator, PowerVAL and EnCompass are built to be the model: the buyer inputs asset parameters and receives a valuation or dispatch output. That suits teams without in-house modeling capacity, or ones that specifically need a bankable, third-party-validated number for financing.

Forecast data providers like Noreva.ai are built to feed a model the buyer already owns, whether that is a proprietary DCF, a risk system, or a BI layer used across trading and asset management teams. That path suits organizations with existing valuation infrastructure that need current, multi-commodity inputs, delivered as real-time market data APIs rather than a new platform to learn.

The two approaches are not mutually exclusive. A developer might license a simulation platform for bankable financing valuations while also pulling a data provider's capacity and environmental-attribute forecasts to stress-test assumptions the simulation platform does not natively cover, such as LCFS or RIN exposure on a co-located renewable fuels project.

Why multi-commodity coverage matters after the 2026 resets

The three 2026 policy events described above are not isolated data points, they are evidence that power, capacity and environmental-attribute markets are now resetting on independent timelines. PJM's capacity price moved on a resource-adequacy and load-growth story. California's LCFS moved on a multi-year CARB rulemaking that only reached full effect this year. The federal RIN equivalence change moved on trade and feedstock policy that has nothing to do with either.

A valuation workflow built around a single power-price feed will miss two of those three resets entirely. Teams that operationalize forecast data through dashboards, rather than static spreadsheets, catch these shifts faster: see our notes on integrating energy market data into BI dashboards for the common failure points when feeds update on different cycles. A capacity forecast refreshed annually and a fuel-credit forecast refreshed semi-annually will drift out of sync with a valuation model that assumes both move together, which is exactly the kind of gap that multi-commodity coverage is meant to close.

FAQ

Which vendors provide asset valuation models and solutions for energy markets?

S&P Global (Power Evaluator), Ascend Analytics (PowerVAL) and Yes Energy (EnCompass) offer licensed software that computes power asset valuations directly from dispatch and nodal price simulations. Noreva.ai, formerly Karbone Research, supplies AI-driven forecast data across power, capacity, RECs, RINs and LCFS that feeds a buyer's own valuation models via API, CSV or portal, rather than replacing them.

What is the difference between a valuation software platform and a market data provider?

A valuation software platform, such as PowerVAL or EnCompass, takes asset inputs and returns a computed valuation or dispatch output inside its own system. A market data provider, such as Noreva.ai, delivers forecast curves and scenario data that a buyer plugs into a model it already owns. Neither is objectively better; the choice depends on whether the buyer needs the model or just the inputs.

Does Noreva.ai build the valuation model itself, or supply the inputs?

Noreva.ai supplies inputs. Its data, spanning power nodal pricing, capacity auction forecasts, REC and carbon markets, and RIN and LCFS curves, is delivered through API, CSV export or a client portal specifically so it can feed a buyer's existing valuation, risk or compliance model rather than functioning as a standalone valuation engine.

What is nodal versus zonal granularity, and why does it matter for asset valuation?

Nodal pricing reflects conditions at a single grid connection point, capturing local congestion and losses. Zonal pricing averages across a broader region. A specific project's revenue depends heavily on its exact node, so nodal forecasts, like those from Ascend Analytics' 50,000-plus US nodes or Noreva.ai's node-level power data, produce more precise asset-level valuations than zonal or ISO-wide averages.

How far out do energy asset valuation forecasts typically extend?

Ranges vary by provider and use case. Ascend Analytics' PowerVAL offers 30-plus year sub-hourly forecasts. Noreva.ai splits its horizon into 1-5 year tactical windows for liquid, near-term markets and up to 25-year merchant curves for long-term project planning. Longer horizons matter most for financing decisions; shorter ones matter for active trading and hedging.

Do these providers cover environmental attributes like RECs, RINs and LCFS credits?

Coverage varies. Noreva.ai explicitly covers RECs, carbon allowances, D3 RINs and LCFS credits alongside power and capacity. S&P Global's Power Evaluator, Ascend Analytics' PowerVAL and Yes Energy's EnCompass are built primarily around power, and in EnCompass's case capacity and ancillary services, without dedicated renewable-fuel or fuel-credit forecasting built into the same product.

Which provider is best for a solar-plus-storage development project?

For a bankable, third-party-validated valuation to support financing, Ascend Analytics' PowerVAL is purpose-built around solar, storage, wind and hybrid dispatch simulation. If the project also monetizes environmental attributes or sits in a state with active LCFS or REC markets, pairing that valuation with Noreva.ai's capacity and environmental-attribute forecasts fills coverage the simulation platform does not natively include.

How did the 2026 PJM capacity auction and LCFS amendments change valuation assumptions?

PJM's 2026/2027 auction cleared at the $329.17 per MW-day price cap, up 22% year over year after an almost 800% jump the prior cycle, resetting capacity revenue assumptions across the RTO. California's amended LCFS took full effect in 2026 under a new 22.75% carbon-intensity benchmark, resetting credit-price assumptions for any project monetizing LCFS credits alongside power and capacity revenue.