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.
What it does
Multi-scenario techno-economic optimisation powered by advanced algorithms and physics-informed neural networks: Mixed-Integer Linear Programming across 100+ inputs spanning demand, generation, technology, finance, and policy, 50M+ data points per simulation, results in minutes. Outputs are decision-grade: optimal capacities, LCoE, IRR, DSCR, payback, and 15-minute to annual cash flows.
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 BESS 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.
RE offset target: 65% · State: Tamil Nadu
Why the numbers hold up
One solve, not three spreadsheets
The MILP engine optimises dispatch, sizing, and financial structure together at 15-minute resolution. Trade-offs are priced inside one optimisation, 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.
Built for the desks that use Plan
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.
Ready to optimise your
energy strategy?
10 GW+
Solar & wind simulated
4 GWh
Battery storage modelled
$1Bn+
In energy decisions