Advanced modelling & optimization
for renewable energy projects.
Exergy Space helps you simulate thousands of scenarios and turn complex renewable tenders into optimized, investment-ready project configurations.
Product demo · Watch on YouTube
Our team has worked across leading energy, infrastructure, technology and consulting organizations
Organizations where members of the Exergy Space team have previously worked: Azure Power, Vena Energy, McKinsey and Company, The AES Corporation, Bechtel Corporation, Maruti Suzuki.
What we do
Define your project parameters. We evaluate thousands of solar, wind and BESS configurations to identify the best asset mix for LCOE at a target IRR and tender compliance.
Input
- Solar
- Wind
- BESS
- Grid connectivity
- Tender construct
- Financials
8,760 hours a year
across 25 years
1,000+ scenariosper run, solved in minutes, not weeks
Output
- Optimal configurationSolar MW, wind MW, storage MW and MWh
- Bid tariff and LCOEThe lowest tariff the project can actually support at a given IRR
- Penalty exposurePriced before the bid, not discovered after award
- Interactive dashboard and reportsDashboard for management review & downloadable excel reports
The problem
Complex projects, decided on a handful of scenarios.
A hybrid renewable project is a technical decision, a financial decision, a contractual decision and a geographic decision at the same time. Those decisions are usually made across separate tools, separate models and separate spreadsheets, by people who each hold one piece of the picture.
- Multiple tools. Multiple handoffs. Too much manual work.
- Limited scenarios tested – out of thousands of possibilities.
- Weeks of analyst time to run, compare, and evaluate each iteration.
- Financial modelling not integrated with energy modelling.
- Static reports built for analysis – not for management decisions.
- High costs of building and maintaining teams, tools, and consulting support.
Benefits with Exergy Space
Multi-input, multi-scenario simulation
Change technology, contract terms, grid limits and financials together. Thousands of combinations, simulated and ranked in one run.
At market-best cost
A fraction of what advisory modelling costs per bid, on clear SaaS pricing instead of a fresh quote every time.
Saves you weeks of manhours
Work that takes an analyst team weeks finishes in minutes. When a cost or a tender term moves, re-run instead of rebuilding.
Trained on real cases, simple to use
Built and tested on live projects and tender constructs, behind a front end your team can use from day one.
Interactive dashboard and reports
Explore results live, compare options side by side, then download a report and the workings behind it.
Seems interesting?
Our credentials
Tested on real-life complex project cases.
Our proprietary model has been trained, tested and used on real project scenarios and tender constructs at leading renewable IPPs. On the same inputs, its outputs were consistent with the in-house analyses those teams already relied on, across complex FDRE, RTC and peak-power constructs.
Validation & testing
On one of India's hardest tender constructs, our model derived ₹5.25/kWh. The auction discovered ₹5.25/kWh.
SECI's 1,000 MW RTC Thermal Mimic tender. RfS issued 10 Mar'26, results announced 7 Aug'26.
Why this construct is the hard one
- Designed to mimic thermal power.
- Six peak hours a day, chosen by the buyer day-ahead from a 16-hour window.
- 90% delivery in peak hours, 70% in non-solar hours, 50% minimum and 60% maximum in the solar-hour block.
- Storage mandatory, with no prescribed sizing. Technology agnostic.
- 1.5x tariff penalty, monthly and annual, with the higher of the two applying.
- Only 5% of annual energy may be sourced from the green market.
What our model produced
Exergy Space modelper kWh, derived by the model.
SECI e-reverse auctionper kWh, the lowest winning tariff discovered*. Five of seven winners cleared at this number.
That configuration also carried the lowest LCOE and the highest IRR of every case in the ranked set.
*Discovered through SECI's e-reverse auction (e-RA). Tender: SECI RfS SECI/C&P/IPP/13/0020/25-26, 1,000 MW RTC-TM.
How it works
See how our model simulates input parameters into optimal configurations.
STAGE 01
Configure the project.
Site and resource data, technology options, cost and finance assumptions, grid connectivity, market constraints and the tender construct. Entered as parameters, not as spreadsheet formulas.
STAGE 02
Simulate hour by hour.
8,760 hours a year across full project life. Generation, storage dispatch, curtailment, degradation and availability, modelled for every configuration rather than a representative year.
STAGE 03
Explore thousands of configurations.
Solar, wind and storage combinations computed in parallel, each carrying its own technical output and its own financial result from the same run.
STAGE 04
Optimize for your objective.
Lowest LCOE, lowest tariff, highest IRR, or a contracted capacity you have to meet. You choose what the model is solving for, and the frontier resolves against it.
STAGE 05
Compare the best scenarios.
The leading configurations side by side with the trade-offs visible. Not a single answer handed down, but the shortlist a decision actually gets made from.
STAGE 06
Open the dashboard, or take the report.
Explore the result in an interactive dashboard, or download a formatted report of the selected configuration with the workings behind it, so a reviewer can open the calculation rather than take it on trust.
Compare top configurations
Who it's for
Built for everyone who has to make a high-stakes renewable energy decision.
Developers & IPPs
Design and optimize bids & projects.
Investors & lenders
Run due diligence, validate and stress-test the project.
Consultants & advisors
Model projects for your clients.
C&I energy buyers
Evaluate renewable procurement.
EPCs & suppliers
Price configuration choices over project life.
Have a renewable project to model?
Or just curious to know more?
Run it yourself on the platform, or connect with our team for a live demo.