More realized value per MWh from the assets you already own.
Enerscape helps owners and operators of renewable and industrial energy portfolios find where value is lost between production, trading, balancing, contracts and operations. Every improvement is tested in shadow mode on your own data before it touches live operations.
Most energy portfolios are managed as a collection of separate functions. Forecasting is graded on accuracy, the trading desk on its book, operations on availability, and no single team owns the number that ties them together. Enerscape treats production, trading, balancing, contracts and operations as one continuous decision process, measured by one KPI: realized value per MWh. We quantify where your portfolio leaks value, benchmark improvements against your own data in shadow mode, and only then help you change how live decisions are made.
Start here
A few pieces from the sections below, each one built around a specific calculation.
How the Polish balancing market changes realized value per MWh
On the Polish market, the cost of a forecast error is set by the spread between the day-ahead price and the balancing price, and that spread is asymmetric. Why forecast accuracy is a misleading KPI for a Polish renewable portfolio, and what nomination strategy should weight instead.
Capture price against realized value per MWh for PV
Two different things are happening to solar economics at once: a market-wide compression of capture price that no operator can dispatch around, and a portfolio-specific gap between capture price and realized value that is addressable. Telling them apart is the first step to fixing the right one.
Portfolio optimization against single-asset optimization
Why a fleet of renewable assets settles better as one position than as a sum of individual positions, why the benefit comes from correlation structure rather than asset count, and a simple self-test for how much of it a portfolio is capturing today.
Latest from the knowledge base
Portfolio-Level vs Single-Asset Optimization
Answers: Should I optimize each asset separately or optimize the portfolio as a whole?
A technical comparison of optimizing energy assets individually versus optimizing the portfolio as one position: where each approach is appropriate, and where the economics diverge.
Shadow-Mode Optimization: Testing Before Touching Live Operations
Answers: How can I test a portfolio optimizer without operational risk?
What shadow-mode testing of a portfolio optimizer is, why it is the safest way to evaluate optimization claims, and a practical checklist for benchmarking an optimizer honestly.
What Realized Value per MWh Actually Measures
Answers: What is realized value per MWh, and how is it different from capture price?
A working definition of realized value per MWh, how it differs from capture price and forecast accuracy as a portfolio KPI, and a worked numeric example showing why the gap matters.
Sections
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Knowledge
Definitions, formulas and decision frameworks for portfolio-level energy economics.
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Markets
Poland, Germany and wider European market mechanics: balancing, negative prices, intraday.
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BESS
Revenue stacking, state-of-charge decisions and what storage is actually worth in a portfolio.
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Solar
Capture price against realized value, curtailment economics, PV in a portfolio context.
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Hybrid
PV plus wind plus storage plus load, and portfolio against single-asset optimization.
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Observatory
Recurring monitors built on market data rather than opinion.
Free tools
Public, no form before use. More tools from section 12 of the strategy brief are queued.
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Realized Value per MWh Calculator
Enter production, day-ahead revenue and balancing settlement to see realized value against capture price.