Beta · Free access for early adopters

Size and evaluate
Energy Systems in
minutes, not weeks

Ergolytix runs our optimization engine for the optimal sizing and techno-economic analysis on your load profile and weather data, without spreadsheets or legacy simulation tools.

Join the beta · free See how it works
~3 min Time to first result
5+ Technology types
HOMER Pro Validated against
SYSTEM SCHEMATIC · AC-COUPLED · STANDALONE
AC Bus Solar PV INV Wind INV BESS INV Load
2,830 kWp
PV capacity
9,624 kWh
Battery capacity
$9.6M
NPC

Results validated against HOMER Pro and NREL SAM. Optimisation engine uses mathematical programming, the same stack of solvers used in academic and utility-scale energy research.

How it works

From data to decision in five steps

No setup. Upload your load profile, pull weather data, configure components, and run, the platform handles the rest.

Define site
Set location, lifetime, discount rate and currency
Load data
Upload demand profile, download weather data
Configure system
Select components, set operating mode and parameters
Run analysis
Optimal sizing with MILP, TEA sensitivity in parallel
Export report
Branded pre-FEED PDF with KPIs and dispatch charts
Capabilities

What the platform handles

Built around the physics and economics of real Energy Systems projects, not a generic energy calculator.

MILP optimal sizing
Minimises NPC subject to reliability constraints. Handles PV, BESS, wind, diesel generator, and H₂ storage in standalone or grid-tied mode.
Techno-economic analysis
Multi-scenario sensitivity across 11 parameters including PV CAPEX, BESS capacity, DC/AC ratio, albedo, and GCR, producing LCOE and CAPEX breakdowns.
Hourly dispatch simulation
8,760-hour dispatch results with power balance, battery SoC, unmet load and curtailment, visible in the results dashboard and embedded in reports.
Solar production modelling
Bifacial models, Fixed, single-axis, and dual-axis tracking. Full loss chain including soiling, shading, mismatch, wiring and availability.
Weather database integration
Direct online download, Meteosat MSG for Africa and Europe, GOES PSM for the Americas.
Pre-FEED PDF reports
Branded, auto-generated reports with site parameters, scenario comparison table, KPI cards, and dispatch charts, ready for client delivery.
Product vision

One platform, across the full project lifecycle.

Every hybrid project moves through the same eight phases. Today's tools serve them in fragments. Our vision is to serve them as one continuous digital thread.

01
Pre-Feasibility
Is it viable?
02
Pre-FEED
Optimal concept?
03
FEED
Investment-ready?
04
Detailed Eng.
How exactly?
05
Procurement / EPC
Vendors & specs?
06
Construction
Built as designed?
07
O&M
Performing?
08
Digital Asset
Optimize & extend?
In beta today
On the multi-year roadmap
PHASE 01

Pre-Feasibility

"Is this project technically and economically viable?"

Fast screening across candidate sites, load profiles, and technology mixes. Answers the go/no-go question in hours instead of weeks, with a defensible economic case.

PHASE 02

Pre-FEED

"What is the optimal project concept?"

Refines the viable concept into a defendable architecture, component sizing, coupling topology, and financial structuring, ready to hand off to FEED or a tender package.

Roadmap · Phases 01 & 02

Nine capabilities we're building next.

The current platform handles the core sizing and economics loop. These are the next layers, sequenced with design partners in the beta cohort.

01
AC / DC / hybrid coupling
Full support for AC, DC, and mixed-bus architectures across every configuration.
02
Inverter modelling & control
Realistic inverter behaviour and control strategy modelling, not idealised converters.
03
Hydrogen storage (FC-cell level)
Component-level modelling of the fuel-cell stack, not just black-box HESS capacity.
04
Hydrogen production plants
Electrolysis-based H₂ production alongside grid, PV, and storage.
05
Desalination plants
Coupling water production to energy system outputs, a first-class MENA use case.
06
Battery degradation
Cycle- and calendar-aging built into sizing decisions, not applied as a post-hoc correction.
07
Transactive energy
Multi-agent energy exchange modelling for community and industrial-park scenarios.
08
Tariff strategies
TOU, demand charges, net-metering, feed-in, and hybrid tariffs, configurable per project.
09
Financial model
Bankable cash flow, financing structures, and multi-currency sensitivity built in.

Sequencing and dates to be firmed up with design partners in the beta cohort.

HORIZON 1
0–12 months
Deepen Phases 01–02

Complete the Pre-Feasibility and Pre-FEED feature roadmap. Onboard 20+ paying design partners. Establish the reference case library.

HORIZON 2
12–24 months
Expand into FEED & Detailed Engineering

Add Phase 03 (FEED-grade outputs, tender-ready packages) and start Phase 04 (single-line, protection coordination, cable and inverter sizing).

HORIZON 3
24–(n) months
Close the loop · O&M and digital-asset layer

Extend into Phases 05–08: procurement helpers, commissioning checklists, and live performance monitoring against the design case.

ARD · AI Research Director

Your Energy Systems expert,
available at any hour

ARD is an AI assistant trained on the Ergolytix engine. It can explain results, recommend parameters, answer technical questions, and, in autonomous mode, configure and run analyses on your behalf.

  • Explain what LCOE, NPC, and LPSP mean for your project
  • Recommend GCR, hub height, and battery sizing rationale
  • Compare scenario results and highlight the key tradeoffs
  • Run a full sizing analysis autonomously from a description
ARD · Analysis and Research Director
What GCR should I use for the Dakhla site? We have limited land.
ARD For Dakhla at 23.7°N with fixed-tilt at 25°, a GCR of 0.35–0.45 is a good starting range. Higher GCR increases energy density but adds shading losses, the TEA sensitivity I see for this project shows LCOE is relatively flat between 0.35 and 0.50, so you have room to optimise for footprint without a significant cost penalty.
Run the sizing with GCR 0.40 and report the NPC.
ARD · Autonomous Running sizing analysis with GCR 0.40... Optimal result: PV 2,640 kWp · BESS 8,910 kWh · NPC $9.1M · 5.5% lower than the base case. Scenario saved as "Dakhla GCR 0.40".
Get in touch

Questions, partnerships, or feedback

We're in beta and actively looking for energy engineers to test the platform on real projects. Reach out · we read every message.

Join the beta · free for early adopters

No credit card, no commitment. Upload your load profile, pull weather data, and have a sizing result in under five minutes. Help shape the platform with your feedback.

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