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Techno-economic modelling for renewable projects

Optimise IRR and LCoE across hundreds of inputs. Sub-hourly simulation of consumption, generation, and storage, modelled on the market rules that apply to your project.

Scenario optimisation · IRR × LCoELive
HOW IT WORKS

What it does

Multi-scenario techno-economic optimisation, IRR-first: sizing and dispatch solved together in one physics-constrained linear program, kept tractable at full sub-hourly scale, across 100+ inputs spanning demand, generation, technology, finance, and policy, with your market’s tariff and banking rules modelled exactly. Outputs are decision-grade: optimal capacities, LCoE, IRR, DSCR, payback, and Monte Carlo P50/P90 ranges on cash flows from 15-minute to annual, in minutes.

Optimisation engineSolving
100+ inputsphysics constraintsoptimal mix
35,040 blocks a yearLinear program · results in minutes
CAPABILITIES

What you get

  • Sub-hourly modelling

    Consumption, generation, and storage modelled at 15-minute resolution from 12+ months of meter data, capturing the intra-day swings annual averages miss.

  • Multi-scenario optimisation

    Co-optimise solar, wind, and storage in one run for IRR, LCoE, demand met, or a CfD strike, with Monte Carlo sweeps across capex, tariffs, and financing.

  • Regulation-aware constraints

    Market rules as hard constraints: ToD bands, wheeling and banking, DSM limits, RPO, captive shareholding, and DSCR covenants.

  • Financial-grade outputs

    LCoE, IRR, DSCR, payback, and NPV of savings. Full P&L and cash flows from 15-minute to annual, export-ready for committee and lender review.

Book a demoFirst simulation in minutes
ES Solve · Scenario comparison
Solved

RE offset target: 65% · State: Tamil Nadu

Technology mixLCoEIRRNPV
Solar 30MW + BESS 20MWh$6112.8%$12M
Solar 25MW + Wind 20MW + BESS 40MWhBest$5714.4%$16M
Wind 40MW + BESS 60MWh$5913.1%$14M
7 scenarios computed · 15-min resolution · 100+ inputs
An engineer walking between rows of solar panels at dawn, reviewing plans on a tablet
METHODOLOGY

Why the numbers hold up

One solve, not three spreadsheets

The engine optimises dispatch, sizing, and financial structure together at 15-minute resolution, formulated to stay tractable at that scale. Trade-offs are priced inside one provably optimal solve, not reconciled between models.

Physics as hard constraints

Generation curves, degradation, and inverter behaviour are constraints, not assumptions. The model cannot produce what the plant cannot deliver.

Uncertainty, quantified

Monte Carlo propagates uncertainty through every scenario: P50/P90 ranges with sensitivity bands, not single-point estimates taken on faith.

WHO IT’S FOR

Built for the desks that use ES Solve

IPPs

Size and optimise RE solutions in one place, then turn the winning configuration into data-rich proposals, cutting business development cycles.

C&I consumers

Forecast your sub-hourly load baseline and simulate the techno-economics before any RFP: decarbonisation grounded in your actual demand.

Advisors

Apply market-specific policies instantly, build visual sensitivity analyses for risk mitigation, and hand clients CXO-ready dashboards.

Financiers

Underwrite on full-lifecycle captive assessments: LCoE, NPV of savings versus capex+opex, equity IRR, payback, and DSCR.

Next step

Ready to optimise your energy decisions?

10 GW+

Solar & wind simulated

4 GWh

Battery storage modelled

$1Bn+

Energy decisions run