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Random assumptions. Broken formulas. Version chaos.
Stop patching together pre-feasibility studies in broken spreadsheets.

We give you one defensible source of truth — integrated benchmark data, fully traceable assumptions, and outputs built to survive investment committee scrutiny.

preFeasibility — Built for scrutiny | Simple for developers


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Select a tool to try Try it
01 Wind preFeasibility
3 credits live
02 Solar preFeasibility
3 credits live
03 Hybrid sizing
5 credits soon
04 Market screener
5 credits soon
05 PPA structuring
5 credits soon
wind-preFeasibility · live
3 credits / run
Indicative — adjust inputs below
100 MW
$1400/kW
$32/kW
8.0%
35%
$50/MWh
Calculated LCOE
-- $/MWh
Project IRR
--
%
NPV
--
$M
AEP year-1
-- GWh
IRENA / Lazard 2024
Calculating…

Run a complete preFeasibility study — site selection to environmental screening — in one workflow.

We get it — most teams run early feasibility in Excel, and it gets you far.
Turning those models into traceable, consistent, benchmark-backed outputs that survive serious review — internal and external — is where the real effort goes, every time.

We help close that gap — with one structured, data-driven platform built for scrutiny.

Version chaos
model_v7_FINAL_2.xlsx
Stale assumptions
CAPEX from 2021 deck
?
Undocumented changes
who changed this formula?
No benchmark context
is $54/MWh good or not?
Single source of truth
traceable · benchmarked · firm
The platform
Five tools. One pre-feasibility workflow.
Every tool a developer needs for credible pre-feasibility evaluation — without a consultant.
01
AEP estimator
Map-based resource estimation using data from DTU and NASA. P50 capacity factor from location, turbine class, hub height, and loss stack.
CF% · AEP GWh/yr · P90
Class 3-4
5 credits
02
LCOE calculator
Full LCOE engine with country benchmarks, 3-scenario panel, sensitivity tornado chart, 6-metric comparison grid, and real-time input validation.
LCOE · IRR · NPV · AEP · PPA · CO₂
Class 3–4
3 credits
03
Hybrid project sizing
Find the optimal wind/solar mix that minimises blended LCOE or maximises IRR for a given site and shared infrastructure.
MW split · blended LCOE · IRR by mix
Class 3–4
5 credits
04
Market screener
Ranked table of markets by LCOE competitiveness, resource quality, and PPA context. Top 10 markets at launch, expanding to 50.
Ranked markets · percentile · PPA ref
Class 3–4
5 credits
05
PPA structuring
Model fixed PPA, merchant tail, blended, and green premium structures with EMBER market references alongside your own assumptions.
Effective $/MWh · IRR · coverage · merchant %
Class 4
5 credits
How it works
Six steps. One complete preFeasibility study.
A structured workflow from site selection to environmental screening — every step traceable, every output defensible.
1
Site Selection
Pick and validate your site
Drop a pin on the interactive map or enter coordinates. Select your technology and configure site parameters. The tool validates the site against regional norms before you commit a single assumption.
2
Resource Assessment
Assess your site resource
Resource parameters are automatically fetched from established global datasets — Weibull wind distributions from DTU Global Wind Atlas for wind, irradiance profiles from PVGIS for solar — calibrated to your site. Review the output and adjust loss stack assumptions before advancing.
3
Power & Energy
Estimate annual energy yield
The AEP engine computes P50, P75, and P90 generation over a 25-year horizon — accounting for wake losses, degradation, and a configurable loss stack. A firm energy estimate feeds directly into financial modelling.
4
Financial Analysis
Model your project economics
Enter CAPEX, OPEX, and WACC. Receive LCOE, IRR, NPV, and breakeven PPA — benchmarked against the country distribution across six dimensions. Run conservative, base, and optimistic scenarios simultaneously.
5
Site Access Study
Understand infrastructure proximity
Automatic grid and road proximity study — distance to the nearest substation, access road length, and terrain constraints fetched from OpenStreetMap within staged radii. No manual GIS work required.
6
Environmental Screening
Screen for environmental constraints
Protected area, habitat, and environmental constraint screening at multiple radii — automatically sourced from global datasets. Export a full screening report to accompany your pre-feasibility package.
Full preFeasibility study — site selection through environmental screening
16 credits · $80
Why Us
Built by active practitioners, for active practitioners.
We built preFeasibility because we were tired of the 2 AM version-control nightmares. We were tired of hunting down stale CAPEX assumptions from old pitch decks, and we were tired of presenting LCOE numbers without knowing exactly where they sat against the country median. We couldn’t find a screening tool that survived scrutiny from our own investment committees — so we built one. No black boxes. Just traceable, benchmarked, and firm pre-feasibility outputs.
Benchmark intelligence

Context that turns a number into a decision

Every result is benchmarked across six dimensions against the country median — LCOE, CAPEX, capacity factor, OPEX, WACC, and project lifetime. You see not just where your cost lands, but which assumptions are driving the gap. Built from IRENA, Lazard, and BNEF data, updated annually.

Knowing your LCOE is $52/MWh is useful. Knowing it is 15% below the country median because your capacity factor is above the regional range — that is what a serious analyst needs before a client meeting.

6-metric comparison · project vs Vietnam median · 2024
LCOE
$52 /MWh
vs median $61 ↓15%
CAPEX
$1,280 /kW
vs median $1,350 ↓5%
Capacity factor
42%
vs median 34% ↑ verify
OPEX
$32 /kW/yr
vs median $34 in range
WACC
8.0%
vs median 8.5% in range
Project life
25 years
vs median 25 standard
Capacity factor is above the regional range. Verify against a resource assessment before presenting to investors.
Source: IRENA Renewable Power 2024 · Lazard LCOE+ 2024 · BNEF 2024
Full output suite

Every metric a developer or investor needs — in one run

We estimate LCOE, AEP with 25-year degradation, Project IRR, NPV, breakeven PPA, and CO₂ avoided. Three parallel scenarios — conservative, base, and optimistic — are computed simultaneously, so you are prepared for any question in the room.

Project IRR only — equity IRR requires debt sizing, DSRA, and tax equity structures.

Conservative
$51.2
IRR 7.1%
Base
$42.1
IRR 9.5%
Optimistic
$36.8
IRR 12.4%
AEP yr 1
306 GWh
Breakeven PPA
$42 /MWh
NPV
$18 M
CO₂ avoided
142 kt/yr
Run comparison

Compare projects and scenarios side by side

Every saved run is a permanent record — inputs, outputs, and benchmark position. Select any two or more runs and compare them in a structured table: LCOE, IRR, NPV, CAPEX, capacity factor, and country percentile side by side. Track how a project evolves across assumption revisions, or evaluate one site against another in a different market.

Designed for the professional managing multiple projects or iterating through scenarios. Available at the $50 wallet threshold.

Cross-run comparison · 3 saved runs selected
Run A
Poland · 120MW
Run B · best
Vietnam · 100MW
Run C
Germany · 80MW
LCOE
$48.2 /MWh
$42.1 /MWh
$55.6 /MWh
IRR
10.4%
12.1%
8.3%
Percentile
41st
28th
62nd
Cap. factor
38%
42%
31%
Run B highlighted as best-performing across LCOE, IRR, and country percentile.
Input validation

Catch unrealistic assumptions before they reach your output

As inputs are entered, we compare them against country norms in real time. If CAPEX is unusually low for the region, or capacity factor sits outside the observed range, a flag appears inline — before the model runs. The user decides whether to proceed, with full visibility of the risk.

One of the most common sources of credibility loss in early-stage analysis is an assumption that looked reasonable in isolation but was inconsistent with the market.

Input validation — Poland · onshore wind
CAPEX
$1,100 /kW
Within range
Capacity factor
47% (P50)
Above regional range
Poland median is 32–38%. A 47% P50 is achievable at premium sites but warrants verification against a wind resource study.
WACC
7.5%
Within range
In the lab
Being synthesized.
We start with onshore wind. Every tool and technology in the roadmap is already taking shape.
Tools roadmap
LCOE calculator
Full engine with benchmarks, scenarios, sensitivity, and input validation.
Live now
AEP estimator
Map-based capacity factor estimation with data from DTU and NASA.
Live now
Hybrid sizing
Optimal wind/solar mix for minimum blended LCOE or maximum IRR.
In synthesis
Market screener
Ranked markets by LCOE competitiveness, resource quality, and PPA context.
In synthesis
PPA structuring
Fixed, merchant, blended, and green premium structures with EMBER references.
In synthesis
Technology roadmap
Onshore wind
Full engine live. Country benchmarks across top 10 markets, expanding to 50.
Live now
Solar PV
Utility-scale and C&I. PVGIS-SARAH3 irradiance. Site-specific energy yield and financial analysis.
Live now
Green hydrogen
Levelised cost of hydrogen in $/kg. Electrolyser sizing and utilisation modelling.
In synthesis
Green ammonia
Haber-Bosch pathway cost model in $/tonne. Pending demand signal validation.
In synthesis
Pricing
Pay per run. No subscriptions.
$5 per credit. Credits never expire. Advanced features unlock automatically as your wallet grows.
Wallet thresholds — $50+ unlocks run comparison, history, and PDF export. $100+ unlocks Excel export. No plan change, no contract.
$50 → PDF + history
$100 → Excel
Free
Starter wallet
$0
One free run on signup. Verify your email (any domain — Gmail, Outlook, or corporate) to get your first prefeasibility report. No payment details needed to evaluate the platform.
1 free credit on signup ($5 value)
+2 credits on work email signup ($10 value)
Any email domain — magic link, no password
No benchmark comparison
No run history or export
Pay as you go
Credit wallet
$5 per credit
Top up any amount. Credits never expire. Volume packs give you more runs for less — the more you commit, the lower your per-run cost.
5 credits — $25 ($5.00 / credit)
12 credits — $50 save 17%
28 credits — $100 save 30%
$50+ wallet → comparison, history, PDF
$100+ wallet → Excel export
Credits never expire
Tool
Stage
Credits
Status
LCOE calculator
Class 3–4
3 cr · $15
Live
AEP / energy yield estimator
Class 4–5
5 cr · $25
Live
Hybrid project sizing
Class 3–4
5 cr · $25
Coming next
Market screener
Class 3–4
5 cr · $25
In the lab
PPA / offtake structuring
Class 4
5 cr · $25
In the lab
Full preFeasibility study = 16 credits = $80 standard · $57.14 with 28-credit pack ($3.57/credit)  ·  assess@prefeasibility.com
FAQ
Questions worth asking
Answered with the precision your audience expects.
How does the credit model work?
Each tool run consumes a fixed number of credits — 5 for AEP / energy estimation, 3 for LCOE / financial analysis, 5 for site access study, 3 for environmental screening. Credits are purchased at $5 each and never expire. A wallet balance of $50 or more unlocks cross-run comparison, run history, and PDF export automatically, with no plan change required.
How reliable are the outputs?
Output quality is a direct function of input quality. This platform is designed for the rigorous “first pass” — helping you decide if a site is actually worth spending $50k+ on a professional feasibility study. Regional defaults give you a highly credible indicative range. Project-specific inputs yield a firm, traceable result. While these are screening outputs (not investment-grade financial models), they are built on the exact same benchmark data (IRENA, Lazard, BNEF) used by top-tier advisors.
What is the distinction between Project IRR and equity IRR?
Project IRR measures the return on total project capital before debt service — a standard metric for technology and cost comparison. Equity IRR requires debt sizing, sculpted repayment schedules, reserve accounts, and tax treatment. We compute Project IRR and are explicit about this on every output.
Where does the benchmark data originate?
Country benchmarks are derived from IRENA Renewable Power Generation Costs, Lazard LCOE+, and BNEF — updated annually. Each data point is cited with source, publication year, and methodology reference. Updates are versioned in the public model changelog; there are no silent revisions.
Can outputs be included in client deliverables?
Firm results — produced with project-specific inputs — are export-ready and fully traceable. PDF export is available at the $50 wallet threshold; Excel at $100. All outputs carry a permanent disclaimer and recipients can verify every assumption from the exported input log.
What is the AEP estimator and when should I use it?
The AEP estimator derives a P50 capacity factor from a map-selected location using established resource datasets, calibrated to your site parameters and a configurable loss stack. Use it for early-stage screening when site-specific resource data is unavailable. If you hold a completed resource assessment, enter the P50 directly.
What does a full preFeasibility study include?
A full preFeasibility study covers six structured steps: site selection, resource assessment, power & energy (AEP — P50/P75/P90), financial analysis (LCOE, IRR, NPV), a site access study (grid and road proximity from OpenStreetMap), and an environmental screening report (protected areas and habitat constraints at staged radii). Each step feeds the next and the complete study is exportable as a PDF.
What markets does the market screener cover?
The market screener launches with the top 10 markets by active development activity across Europe, Southeast Asia, MENA, and the Americas. Coverage expands to 50 markets progressively, each including LCOE benchmarks, resource quality scores, and PPA reference data from EMBER.
Do unused credits expire?
No. Credits never expire. Top up once and use them across multiple projects and tools over any timeframe. There are no monthly minimums, no subscription commitments, and no penalties for inactivity.

preFeasibility, done right.

Let’s make your next project assessment smarter and fully traceable — at a fraction of the cost of outsourcing. Spend real time and money only when the site actually warrants it.