In our previous post, we explored why power and renewable M&A has become increasingly attractive for many developers. Load growth is accelerating, power prices are strengthening, and corporate demand remains robust. At the same time, developers are placing a growing premium on speed to market.
Most buyers are looking at many of the same assets. What increasingly separates successful acquirers is not access to deals, but the ability to identify value faster than the competition. In that environment, screening is no longer an administrative step in the M&A process. It has become a strategic capability.
This post walks through how that capability works in practice, moving from a nationwide market view to a prioritized shortlist with defensible economics behind each opportunity.
The workflow follows four stages:
Market → Asset → Location → Economics
Each stage narrows the field and increases conviction.
Start with a hypothesis, not an asset
Many M&A processes begin with an asset that is already on the market. The strongest acquisition strategies often begin somewhere else.
Rather than asking “which projects are available,” leading acquirers ask:
- Which markets are benefiting from sustained load growth?
- Where are supply and demand fundamentals tightening?
- Which regions are attracting infrastructure investment?
- Where is future power demand likely to concentrate?
Once those questions are answered, the field gets much smaller.
This matters because asset value is increasingly shaped by what’s happening around the asset, not just the asset itself. Two projects with similar operating characteristics can have very different long-term outlooks depending on where they sit relative to growing load centers, transmission infrastructure, and future development activity. The goal is not simply to find assets. It is to find assets positioned to benefit from the strongest underlying fundamentals.
In practice, four variables tend to separate the strongest markets from the rest:
- Load growth trajectory: Is power demand in this region accelerating, flat, or declining? Where are data centers, EV fleet charging, and industrial loads being built?
- Forward LMP levels: What are power prices doing at the zonal and nodal level, and where are they headed through 2045?
- Existing generation composition: What technologies dominate, what is running inefficiently, and where is there capacity underleveraged relative to the demand being built around it?
- Substation headroom: Where does available transfer capacity actually exist, and where has the grid gotten too tight to support new interconnection without significant upgrade costs?
Enverus PRISM® aggregates all of this from hundreds of sources, updated daily. The goal is simple: start with the full opportunity set before narrowing your focus.
Once you’ve identified the markets worth being in, the next question is simple: which assets are best positioned
to benefit?
Bottom line: Market selection determines the quality of every decision that follows. The strongest acquirers begin by identifying where demand, pricing, infrastructure, and capacity dynamics are creating opportunity before narrowing their focus to specific assets.
From market thesis to asset shortlist
Once a market thesis is established, the objective becomes much more specific: identify the assets most likely to benefit from it.
Even after narrowing the focus to a specific market, there may still be hundreds of assets worth evaluating. The question is not how to find more opportunities. It is how to identify the handful that deserve deeper attention.
One effective approach is to look for assets that are both efficient and underutilized. On the thermal side, PRISM’s scatter plot tools let you filter the nationwide gas fleet by heat rate and capacity factor simultaneously. Draw a box around the range you care about and the map updates in real time.
The logic is straightforward: a plant with a low heat rate (efficient) and a low capacity factor (underutilized) may be a structurally undervalued asset. It has the equipment to compete, but something is suppressing dispatch. That could be ownership constraints, contract structure, or market positioning. All of those are addressable through acquisition.
Layering in the geospatial buffer filter adds the demand angle. Select the gas plants that clear your heat rate and capacity factor thresholds, apply a 10-mile radius, and restrict the view to assets within that proximity of announced or candidate data center load. The result is a map of efficient, underutilized generation sitting next to growing demand.
One data layer worth calling out specifically: candidate load sites. PRISM maps the land-leasing activity of companies that acquire land on behalf of hyperscalers before a data center is officially announced. These sites represent future demand that has not yet shown up in any public dataset. Tracking them alongside announced projects gives you a more complete picture of where load growth is actually headed.
Many acquisition processes focus on the asset itself. The more important question is often what is happening around the asset. Load growth, transmission capacity, queue dynamics, and infrastructure constraints can have as much influence on value as the asset’s operating characteristics.
By this point, the goal isn’t to find more opportunities. It’s to understand whether the opportunities you’ve identified still hold up under closer scrutiny. Of course, identifying a promising asset is only the first step. A project that looks attractive in a screen may look very different when infrastructure constraints, queue competition, and local pricing dynamics are considered.
Bottom line: The competitive advantage doesn’t come from having more data. It comes from identifying the handful of signals that matter and reaching a conclusion faster.
Zooming in on a target location
Asset quality and asset opportunity are not the same thing.
The highest-value targets are not always the most obvious assets on the market. They are often assets whose value is changing because the market around them is changing. In many cases, the market is still valuing assets based on current utilization rather than future demand exposure. As load growth shifts, that gap can create opportunity for buyers who identify it early.
At this stage, the objective shifts from identifying opportunity to validating it. The question is no longer whether an asset looks attractive. It is whether the surrounding infrastructure, market conditions, and physical constraints support the investment thesis.
Can this project actually connect without triggering major upgrades?
Available transfer capacity is often one of the first questions worth answering. A project may look attractive on paper, but limited headroom at the point of interconnection can materially change the economics. Historical and forward-looking ATC helps establish how much capacity is actually available before curtailment or network upgrades become
a concern.
Who are you competing against for capacity?
When evaluating a queue position, you’re not just assessing the project itself. You’re assessing its position relative to everything else competing for the same infrastructure. Understanding where projects sit in the study process, what upgrade costs have been assigned historically, and how likely competing projects are to reach commercial operation provides critical context for valuation.
What has the asset actually earned?
Average market prices rarely tell the full story. Asset value is ultimately determined by what a project captures at its specific location. Looking at nodal pricing, basis differentials, congestion exposure, and long-term forecasts helps establish whether historical and future revenues support the investment thesis.
Can the project actually be built as planned?
A queue position or development asset may look attractive until physical constraints are considered. Land feasibility analysis helps determine what can realistically be constructed on a site by accounting for factors such as slope, setbacks, transmission infrastructure, and road access before detailed design work begins.
Infrastructure and location tell you whether an opportunity is viable. Economics tell you whether it’s worth pursuing.
Bottom line: Asset-level diligence is ultimately about context. Queue position, transmission capacity, nodal pricing, and land feasibility all help determine whether an attractive asset remains attractive under
closer scrutiny.
Turning signal into conviction: asset-level economics
The purpose of screening is not to find interesting assets. It is to identify which assets deserve deeper diligence.
That requires an economic view.
By the time an opportunity reaches this stage, the question is no longer whether it looks attractive. The question is whether the numbers support the thesis.
Historically, detailed valuation often occurred late in an acquisition process. Today, many buyers are building preliminary economic views much earlier because speed matters.
Early economics are not about replacing diligence. They are about determining which opportunities deserve deeper diligence and which do not.
The challenge is that the underlying data lives in dozens of places and assumptions vary from analyst to analyst.
This is where screening and economics start to converge. The same data that helps narrow a universe of assets can also help determine which opportunities deserve deeper diligence. Building conviction ultimately comes down to answering three questions:
- How has this asset actually performed?
Understanding how an asset has actually performed is the starting point for any credible valuation to help establish whether a plant’s historical performance supports the investment thesis.
For thermal assets, the foundation is CEMS data: hourly generation, emissions, and heat rates for every operating plant, rolled up to monthly views. This tells you nameplate capacity, fuel consumed, megawatt hours generated over time, and realized efficiency across seasons and dispatch conditions. Each gas plant is tagged to a local fuel hub, with observed price differentials built in, and assigned to an LMP node with full spark spread history available.
- What assumptions are driving value?
FERC-regulated pipeline meter station data provides visibility into actual gas flow capacity, helping improve fuel cost assumptions and thermal asset valuation. Rather than relying on static pipeline information, buyers can see scheduled versus actual flows, available headroom, and capacity constraints at the asset level. Understanding what can realistically flow to a plant creates a more defensible view of future fuel costs and operating economics.
- Does the opportunity hold up economically?
The goal is not to build a perfect valuation model. It is to create a consistent framework for comparing opportunities. When acquisition teams are evaluating multiple assets across multiple markets, consistency matters as much as precision.
PRISM provides a pre-populated DCF model for every asset in the platform. For a thermal plant, that means a seven-year forward power curve, Henry Hub forwards adjusted for the local hub differential, and a plant-specific capture rate based on observed nodal price volatility. Key assumptions, including capital structure, CapEx, OpEx, and cost of debt, remain fully configurable. The model outputs equity-level and unlevered project cash flows, DSCR, and IRR.
For renewable and storage assets, the framework is the same but the primary inputs shift. ATC at the point of interconnection replaces spark spread as the first filter. Queue completion probability replaces heat rate as the efficiency signal. Land feasibility and buildable area layer in alongside the economics. The DCF model is technology-agnostic and covers wind, solar, storage, hydro, and nuclear in addition to thermal.
You can export up to 50 assets in a single pass. For a portfolio screen, that means comparing normalized economics across a large universe before deciding where to focus deeper diligence.
Bottom line: Early economics are not about replacing diligence. They are about determining where diligence should be focused and building conviction before entering a competitive process.
What a prioritized shortlist looks like
Running this workflow end to end, from market screen to location diligence to asset economics, in a single platform changes what you can do in a single session. What used to require weeks of manual data collection and multiple vendor engagements can run from start to finish before you commit to a formal process.
The other benefit is auditability. Every assumption in the PRISM model is transparent and sourceable. Power price realization, fuel costs, nodal exposure, capacity revenues, long-term market fundamentals: when you take a shortlist to your investment committee or a lender, you can show exactly what data the economics are based on, where it came from, and when it was last updated. That conversation is easier than when the model came from a manual build or a third-party engagement where the inputs are harder to trace.
The real advantage isn’t more data
The next cycle may not be won by the teams reviewing the most opportunities, but by those that can identify which opportunities matter most.
In a market where timing has become a competitive advantage, the ability to move from opportunity to conviction quickly may be just as important as the opportunity itself.
In our final post, we will cover one of the most important variables in project diligence: network upgrade costs. We will examine why interconnection risk has become a major driver of project economics and how to quantify exposure before committing significant capital.
Ready to see the screening-to-economics workflow in action?
Explore how your team can screen opportunities and benchmark performance across any asset in your pipeline.
