Capability
Article 6.2Cooperative approach· Bilateral|Article 6.4Mechanism activity· Centralised|ICVCMCCP-aligned· Integrity|ICROAEndorsement-ready· Voluntary|CORSIAPhase II eligible· Aviation|CAD TrustInteroperable· Federation|ISO 14064Aligned MRV· Quantification|ISO 14065Aligned VVB· Verification|ISO 17029Aligned assurance· Validation|GHG ProtocolScope 1/2/3· Inventory|CSRD · ESRS E1Disclosure-ready· Reporting|ISSB · IFRS S2Investor-grade· Reporting|Sentinel-1/2Continuous cadence· Earth obs|IPCC 2019Tier 2/3 capable· Methodology|Article 6.2Cooperative approach· Bilateral|Article 6.4Mechanism activity· Centralised|ICVCMCCP-aligned· Integrity|ICROAEndorsement-ready· Voluntary|CORSIAPhase II eligible· Aviation|CAD TrustInteroperable· Federation|ISO 14064Aligned MRV· Quantification|ISO 14065Aligned VVB· Verification|ISO 17029Aligned assurance· Validation|GHG ProtocolScope 1/2/3· Inventory|CSRD · ESRS E1Disclosure-ready· Reporting|ISSB · IFRS S2Investor-grade· Reporting|Sentinel-1/2Continuous cadence· Earth obs|IPCC 2019Tier 2/3 capable· Methodology|
SaaS · Operated by CAS · CABPRO.01 + LOLP.01

CABPro + LoLP. One CAS-hosted SaaS, two engines.

Subscribe and sign in. CAS hosts and runs the platform. CABPro turns a GPS geofence into a site-feasible renewable mix; LoLP runs Monte Carlo adequacy on that mix and returns a bankable LCOE / LCOC / EENS pack. Same workspace, same data, end-to-end.

CABPro — Site-derived design
CABPRO.01
CABPro — Site-derived design
Geofence in → feasible mix out
LoLP — Reliability-constrained optimisation
LOLP.01
LoLP — Reliability-constrained optimisation
Candidate mix in → bankability pack out
Engines
CABPro + LoLPone tenant
Reliability
LoLP ≤ 0.1%hard constraint
Resources
6+solar · wind · hydro · biomass · BESS · MSW
Outputs
LCOE · LOLE · EENSbankable + auditable
One workflow

Geofence → site-feasible mix → reliability-graded design → bankability pack.

The two engines share one project record, one dataset and one audit trail. There is no hand-off, no spreadsheet bridge, no double entry.

01
Geofence

GeoJSON / KML / SHP. Exclusion zones, biodiversity, hydrology, grid layers loaded.

02
CABPro

Site-feasible capacity by tech, with dynamic K(t) pricing scarcity in.

03
LoLP

Monte Carlo adequacy on the candidate mix — sizes storage, scores reliability.

04
Pack

LCOE · LCOC · LOLE · EENS × VOLL · carbon ledger. Audit-trail co-signed by CAS.

Inside the platform

Two engines. One subscription.

CABPRO.01
CABPro — Site-derived design
Geofence in → feasible mix out

Upload a GPS boundary. CABPro pulls 10–30 years of resource, hydrology, biodiversity and land-cover data, applies exclusion zones, and returns the renewable mix the site can responsibly support — with the dynamic K(t) cost factor pricing scarcity in.

  • ·Site-first capacity, not a target-MW spreadsheet
  • ·Biodiversity, social and ground-truth layers baked in
  • ·Dynamic K(t) penalises scarce / future-constrained resources
  • ·Fossil fuel allowed only as a residual gap-filler
LOLP.01
LoLP — Reliability-constrained optimisation
Candidate mix in → bankability pack out

Take any candidate mix — from CABPro or your own — and run Monte Carlo adequacy across 5,000 simulated years. LoLP sizes storage, dispatches under uncertainty, and produces the LCOE / LCOC / EENS × VOLL pack lenders and regulators sign off.

  • ·LoLP / LOLE / EENS / ELCC as hard design constraints
  • ·Multi-objective: cost · carbon · reliability
  • ·Reliability-aware storage dispatch
  • ·Bankability pack for lenders, PUCs and ministries
Core algorithm

The site-feasible, reliability-constrained loop.

Pseudo-logic
1. Load project boundary B
2. Fetch resource datasets R (10–30 yrs)
3. Fetch environmental & land-use constraints C
4. Compute gross technical potential P_gross by tech       ─┐
5. Apply exclusion / constraint factors → P_net             │ CABPro
6. Apply dynamic K(t) — price scarcity in                  ─┘
7. Run Monte Carlo LoLP / LOLE / EENS on candidate mix     ─┐
8. Reliability-constrained dispatch & storage sizing        │ LoLP
9. Multi-objective optimise: cost · carbon · reliability   ─┘
10. Emit bankability pack + immutable audit trail
Two metrics, one design

costi(t) = pricei · (1 + Ki(availnow, availfuture))

LoLP(t) = P( L(t) > Σ Gi(t) + S(t) ) ≤ ε

CABPro's K conserves renewable abundance early; LoLP's ε guarantees the resulting mix is utility-grade adequate. Together they replace the 100 MW spreadsheet with a site-honest, reliability-honest design.

Source basis

Wijesooriya, P.D. — peer-reviewed, U.S. Energy Engineering / ProQuest. Tested on real Sri Lanka & UK power scenarios.

Worked case

Sri Lanka LTGEP-aligned hybrid · 30 MW

Configuration
  • · CABPro returned: 18 MW solar PV + 8 MW biomass on a 14 km² geofence
  • · LoLP sized: 8 MWh / 4 MW BESS, then re-sized to 20 MWh
  • · Demand: peaking 22 MW, baseload 9 MW
  • · Monte Carlo: 5,000 simulated years
Baseline (8 MWh BESS)
LoLP = 0.65 %
LOLE = 56.9 hrs/yr
Marginal · fails utility threshold
Option B · 20 MWh BESS
LoLP ≤ 0.08 %
LOLE ≈ 7 hrs/yr
Reliability achieved · no fossil backup
Outcome

The same 30 MW hybrid moves from marginal adequacy to utility-grade reliability by re-sizing storage instead of adding firm fossil capacity — quantified, defensible, bankable.

  • · LoLP / LOLE / EENS report
  • · LCOE · LCOC · NPV · IRR
  • · Carbon ledger (gross, captured, net)
  • · Bankability pack (EENS × VOLL)
User roles

Built for the whole planning conversation.

RolePermissionsTypical use
Project DeveloperCreate projects, upload site data, run scenarios, export reportsPre-feasibility & investment screening
Engineer / ConsultantAdvanced modelling, assumptions, optimisation settings, sign-offTechnical feasibility & design advisory
Utility / RegulatorPortfolio comparison, LTGEP scenarios, adequacy thresholdsPlanning & approval review
Academic / StudentEducational datasets, transparent equations, limited project runsTeaching & research
Ground-Truth SurveyorUpload field observations, images, met-mast, biodiversity recordsData verification
AdminUser management, data connectors, pricing, audit logsPlatform operations
Where it sits in the market

Between HOMER and PLEXOS — with what neither offers.

vs HOMER

Stronger reliability logic — true Monte Carlo LoLP / LOLE / EENS rather than deterministic dispatch heuristics.

vs PLEXOS

A fraction of the complexity and cost, with site-derived inputs and a carbon ledger built in.

Unique to CABPro + LoLP

Carbon × reliability integration — the only platform pricing scarcity (K(t)) and adequacy (ε) in one optimisation.

Subscribe

CAS-hosted SaaS. Three licences, one platform.

Operated by Carbon Advisory Services Ltd on managed cloud infrastructure. Nothing to deploy, no servers to maintain, no data pipelines to build. Pick a licence, invite your seats, and start designing — your CAS workspace is provisioned within one business day.

Licence
Academic / Research
USD 0–200
per year · non-commercial
Per researcher / cohort · Full LoLP engine
  • ·Both engines (CABPro + LoLP)
  • ·Full LoLP simulation depth
  • ·Mandatory citation of CAS / Wijesooriya, P.D.
  • ·Non-commercial use clause
  • ·Drives global adoption & peer review
Apply for academic licence
Most popular
Licence
Professional / Consultant
USD 1,500–3,000
per seat · per year
Developer & consultant teams · Unlimited scenario runs
  • ·Multi-objective optimisation (cost · carbon · reliability)
  • ·Carbon monetisation & dynamic K(t)
  • ·Exportable PDF / Word / Excel / GIS reports
  • ·Branded bankability outputs
  • ·Email + in-app support
Subscribe
Licence
Utility / Institutional
USD 8,000–15,000
per year · CAS-hosted
Utility, ministry & multilateral teams · Batch simulations · API access
  • ·Policy & LTGEP scenario templates
  • ·Batch simulations across portfolios
  • ·REST API access for integration
  • ·Private data connectors (SCADA · OPC-UA · IEC 61850)
  • ·Sovereign data residency on request
  • ·Named CAS engineer + audit pack co-sign
Talk to CAS

Prices in USD. Volume, academic and multilateral discounts available. All licences include hosting, security patching, dataset refreshes and platform updates by CAS.

Professional services add-ons

Optional services delivered by the CAS team.

Add-on
Cloud / API usage

Pay-as-you-go simulation hours on CAS-hosted infrastructure. Ideal for spiky workloads or third-party platforms embedding LoLP.

USD 0.05–0.20 / sim-hour
Add-on
Ground-truth survey

CAS field team mobilised to validate met-mast, biomass and biodiversity layers.

From USD 18k / site
Add-on
Bankability sign-off

CAS engineer co-signs the LCOE / LOLE / EENS pack for lender or PUC review.

From USD 12k / report
Add-on
Training & enablement

Live workshops for developers, engineers, utilities and academic cohorts.

From USD 4k / day
What CAS runs for you

You design projects. We run the platform.

Operated by CAS
Hosting & uptime

Multi-region cloud, 99.9% uptime SLA, encrypted at rest and in transit, daily backups.

Operated by CAS
Data refresh

Reanalysis, satellite, hydrology, land-cover and biodiversity layers refreshed on a managed cadence by CAS.

Operated by CAS
Model & method updates

Dynamic K(t), LoLP and dispatch models maintained and versioned. New releases shipped quarterly.

Operated by CAS
Security & compliance

ISO-aligned controls, RBAC, SSO (Enterprise), audit logs, sovereign data residency on request.

Operated by CAS
Support

In-app chat, email, and named CAS engineer for Enterprise tenants. Onboarding workshop included.

Operated by CAS
Onboarding

Tenant provisioned in 1 business day. Sample sites and templates pre-loaded so your team runs a scenario on day one.

Submit scenario

Submit a CABPro+LoLP scenario for CAS review

Save your scenario brief to your workspace. A CAS engineer will review the geofence, candidate mix and reliability targets and come back with next steps.

Sign in to submit a scenario brief to the CAS team. Your scenarios appear in your workspace and reviewers can pick them up directly.

Subscribe

One platform. Site-feasible. Reliability-honest. Bankable.

Academic licences from USD 0. Professional from USD 1,500/year. Utility & institutional from USD 8,000/year. Cloud / API metered at USD 0.05–0.20 per simulation-hour. Talk to CAS about pilots, bankability sign-off and sovereign deployments.