The IEA reported that global battery storage capacity additions reached approximately 108 GW in 2025, a roughly 40% increase year-over-year
Decision Focus
On July 15, 2026, PRF Technologies announced an expansion of its DeepSolar Predict™ platform called Battery-to-Revenue Intelligence, designed to connect storage availability, operational constraints, and market pricing into a single dispatch decision workflow. The platform has not yet been commercially launched; it has completed validation against European market data and is advancing toward a planned launch. A companion trading platform, GridFeed™, is described as forthcoming within weeks. The operational signal for Global Heads of Data Center Energy is not this vendor specifically — it is what the emergence of purpose-built BESS optimization software reveals about where grid-side storage complexity is heading and whether your internal tooling is keeping pace.
90-Second Brief
Today, pRF Technologies expanded its AI-driven renewable energy platform with a storage optimization layer aimed at helping operators move from battery monitoring toward active dispatch decisions tied to market conditions. The announcement follows completed real-world validation using European data. The IEA reported that global battery storage capacity additions reached approximately 108 GW in 2025, a roughly 40% increase year-over-year. IRENA projects installed capacity to reach 782 GW by 2030, nearly ninefold growth from 2023 levels.
What Is Really Happening?
The deeper pattern here is not one vendor’s product roadmap. Renewable energy operators — including data center operators deploying behind-the-meter and grid-connected BESS — are discovering that storage assets create a distinct class of revenue and risk decisions that existing operational tools were not built to handle. When a battery is physically available, operators still face a live question: store now for later peak value, dispatch now into an imbalance market, or preserve capacity for reliability guarantees. Those decisions intersect with production forecasts, locational marginal prices, grid signal timing, and contractual obligations simultaneously.
Software platforms structured around this problem are beginning to appear, and the IEA’s 108 GW addition figure in a single year illustrates why. That scale of deployment is generating both market liquidity for storage-dispatched power and a growing penalty for operators who make dispatch decisions manually or through fragmented tools. PRF Technologies is explicitly targeting the transition from reactive monitoring to proactive revenue optimization. Whether or not this specific vendor reaches commercial scale, the category is real, and competitive pressure on operators using legacy tooling will increase as storage volumes compound.
Why It Matters for Global Heads of Data Center Energy
Data center energy teams that have executed behind-the-meter BESS deployments for peak demand management are approaching a decision threshold. If your storage assets are sized and dispatched purely for demand charge reduction and backup, you may be leaving meaningful value on the table — or, in markets with demand response and capacity programs, failing to participate in revenue streams that improve the economics of assets you have already financed.
The complexity scales with portfolio size. A single site with 10 MW of storage has a manageable dispatch calculus. A multi-site portfolio across PJM, ERCOT, and MISO — each with distinct LMP structures, ancillary service markets, and demand response program rules — requires a system that can hold all of those variables and make consistent recommendations across operating conditions. That is precisely what the emerging BESS optimization software category is being built to deliver. The question for your team is whether your current stack — whether internal, SCADA-based, or through your EPC or integrator — is genuinely performing that function or approximating it.
PRF’s roadmap also includes a planned “What-if Battery Scenario” capability to help operators model the revenue impact of adding storage to an existing portfolio. That kind of pre-investment decision support is relevant for operators evaluating whether incremental storage at existing sites pencils out under current tariff and market conditions — a calculation that is changing faster than annual planning cycles.
Forward View
Three fronts are worth monitoring as this market develops. First, watch whether purpose-built BESS optimization platforms begin earning a place in hyperscaler energy vendor stacks alongside existing energy management systems — that would accelerate adoption timelines across the sector and create de facto benchmarks for dispatch performance. Second, as IRENA’s 782 GW projection implies, grid-side storage will increasingly interact with data center load at the distribution and transmission level, not just behind the meter; energy teams that understand how storage dispatch signals affect locational pricing exposure will be better positioned in PPA renegotiations and interconnection discussions. Third, FERC’s evolving posture on storage participation in wholesale markets remains an active variable — platforms calibrated to European market rules may require meaningful reconfiguration for U.S. ISO participation, which affects how quickly any vendor in this space can translate European validation into North American commercial value.
What Is Still Uncertain
Several important gaps limit how much weight to place on this specific announcement. PRF Technologies had not commercially launched DeepSolar Predict™ as of July 15, 2026; validation against European market data does not confirm performance in U.S. ISO structures with different settlement timing, ancillary service product definitions, and bid rules. The company carries a dual pharmaceutical and energy business model with a stated going concern risk in its SEC filings — an operational continuity consideration for any procurement team evaluating long-term platform relationships. GridFeed™, the planned trading platform built on the same AI engine, has not been introduced with specifics. Whether the platform’s decision-support recommendations translate to auditable, NERC-compliant operational workflows in regulated U.S. grid environments is not yet documented publicly.
The IEA and IRENA capacity figures are robust market-level data points, but portfolio-level value from BESS optimization depends on asset-specific factors — state of charge management contracts, interconnection agreements, utility tariff treatment of storage, and real-time market access rules — that vary significantly by jurisdiction and site.
One Question for Your Team
For every behind-the-meter storage asset currently operational or under construction in your portfolio: what specific dispatch logic is running today, who owns the decision to update it when market conditions shift, and does that process have access to real-time LMP data?
Sources
- Yahoo — PRF Technologies Expands DeepSolar Predict™ Platform with Battery-to-Revenue Intelligence, Extending (Link)
