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Know what to build before you invest

Model solar, wind and storage against your project’s offtake profile or merchant-market assumptions. AI swarms find the mix that meets your objective, with IRR, LCoE, payback and sensitivity analysis in minutes.

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Scenario optimisation · IRR × LCoE

Find the project mix that meets your return target

Start with the site, the customer’s demand or merchant price assumptions, and your investment constraints. ES Solve optimises plant size and dispatch together at 15-minute resolution, across 100+ inputs covering generation, technology, finance and policy. Compare capacities, LCoE, IRR, DSCR and payback, with Monte Carlo ranges and sensitivity analysis showing how the result changes when the assumptions do.

LOADPARAMETERSOLAR YIELDPARAMETERWIND YIELDPARAMETERGeneration capacity · MWStorage capacity · MWhRE share ≥ targetbanked ≤ captime-of-use limitsDSCR ≥ 1.30imbalance ≤ bandownership rulesfeasible project mixesModelled IRR 14.4%Best feasible project mixPROJECT MIXEXAMPLESolar25 MWWind20 MWStorage40 MWhCASH FLOW OVER THE TENURELCoE $57/MWh · DSCR 1.381PROJECT DATADemand, yield and market inputs2COMPARE MIXESSized for your investment objective3APPLY LIMITSMarket rules and project constraints4THE RESULTCapacities, returns, cash flows

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Your market’s rules, as hard limits

Evaluate feasible projects against the tariff, banking and grid limits configured for your market. See which constraint shapes the answer before committing capital.

  • Tariffs and banking

    Time-of-day tariffs and banking schemes, applied block by block.

  • Grid limits

    Connection limits and demand-met floors, overall and by time slot.

  • Your targets

    Renewable purchase and 24/7 clean-energy targets as hard limits.

  • Your budget

    A capex ceiling, with every year of the contract in one model.

Rules from published orders
A hybrid plant at dusk: solar rows, battery storage, a substation and wind turbines

Regional policies

built in, from published tariff and banking orders

How it works

Sizing and dispatch are optimised together.35,040 blocks a year · 100+ inputs · results in minutes

What you gain with ES Solve

  • Time resolutionDisconnected workflow: Annual or hourly averages15-minute demand, generation and market-price profiles
  • Mixes comparedDisconnected workflow: A few, one at a timeSolar, wind and storage sized together within your constraints
  • Market rulesDisconnected workflow: Applied by hand afterwardsBuilt in as hard limits: tariffs, banking, imbalance, renewable targets
  • OptimisationDisconnected workflow: Spreadsheet goal-seekSizing and dispatch optimised together in one model
  • UncertaintyDisconnected workflow: One point estimateP10, P50 and P90 ranges
  • Sensitivity analysisDisconnected workflow: One cell changed at a timeEvery key input stressed, ranked by how much it moves the return
  • Time to an answerDisconnected workflow: WeeksMinutes
Works with
  • Meter data (CSV)
  • Weather and resource data
  • State tariff and banking rules
  • Excel and PDF export
  • Portable project files

Related reading

All resources
Guide · 6 min read

Sizing a hybrid renewable system is an optimisation problem, not a heuristic

How much solar, wind, and battery to build is a 25-year, multi-million-dollar decision whose variables interact: the right battery size depends on how you’ll dispatch it, and the best solar-to-wind ratio depends on your load and tariff. Rules of thumb, spreadsheets, and configuration-testing tools all answer a smaller question than the equity IRR investors actually underwrite.

Read the article
Guide · 4 min read

Modelling hybrid renewable energy systems: the new imperative

With $728 billion invested in renewables in 2024 and solar and wind set to carry 95% of capacity additions through 2030, rigorous energy and financial modelling has become the backbone of every bankable project. What consumers, investors, and lenders each get from it.

Read the article
Case study · 6 min read

A 67M-unit industrial consumer, optimised

How multi-scenario simulation at 15-minute resolution turned a swinging industrial load and a tightening settlement regime into a decision-grade renewable energy plan.

Read the case study

Ready to optimise your energy decisions?

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10 GW+

Projects simulated

1 GW+

Assets under operation

$1Bn+

In energy decisions modelled