IIT Kanpur: HVAC Solution
IIT Kanpur: HVAC Solution Not yet assessed
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IIT Kanpur: HVAC Solution
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Credits Simulator
EEC & REC Project Credits Simulator v1.2.0
REC Assumptions
Financial Projections
Investor Inputs (REC)
Per-Year Valuation — Today vs Forecast
Voluntary: REC (Med-Low)
Voluntary: EEC / Removal (Med-High)
Compliance: EU ETS
REC Projects & SDG Synergies
- SDG 7: More renewables displacing fossil power.
- SDG 13: Verified reductions, market signal for clean power.
- SDG 11: Cleaner air & resilient grids.
EEC Assumptions
Financial Projections
Investor Inputs (EEC)
Per-Year Valuation — Today vs Forecast
Voluntary: EEC / Removal (Med-High)
Compliance: EU ETS
EEC Projects & SDG Synergies
- SDG 9: Industrial modernisation, AI/dMRV.
- SDG 12: Resource efficiency & demand-side abatement.
- SDG 7: "First fuel" energy efficiency.
CCUS Assumptions VM0049 · Industrial CCS
Pricing: bilateral offtake $30–80/t · 45Q floor $60–85/t (US) · no liquid spot market
Financial Projections
Investor Inputs (CCUS)
Per-Year Valuation — Today vs Forecast
CCUS / Industrial CCS (VM0049)
Compliance: EU ETS
CCUS Projects & SDG Synergies
- SDG 9: Industrial innovation — point-source capture at cement, steel, refining facilities.
- SDG 13: Hard-to-abate sector decarbonisation; permanent geological storage.
- SDG 11: Cleaner industrial zones, reduced local air pollutants alongside CO₂.
VM0049 (Verra, June 2024): modular CCS methodology covering geological storage, CO₂ utilisation, and transport pathways. 45Q tax credit provides a $60–85/t USD policy floor in the US.
EV Fleet Assumptions VM0038 · Transport Electrification
Pricing: $2–5/t spot VCM · $6–10/t premium bilateral · CORSIA-eligible · 46.4% CAGR sector
Financial Projections
Investor Inputs (EV Fleet)
Per-Year Valuation — Today vs Forecast
EV Fleet Credits (VM0038)
Voluntary: REC (Med-Low)
EV Fleet Projects & SDG Synergies
- SDG 7: Clean transport powered by renewable electricity.
- SDG 11: Sustainable cities — reduced urban air pollution, quieter streets.
- SDG 13: Transport decarbonisation; CORSIA-aligned fleet credits.
VM0038 (Verra): telematics-verified VKT reduction, smart charging, baseline grid displacement. Transport credits are the fastest-growing VCM segment (46.4% CAGR). DePIN sensor networks add verifiability premium.
Feeds & Endpoints
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Venues: ICE (EUA), CME (GEO / N-GEO), EEX (GO); I-REC registry (regional indications); EEC modeled.
FX: ECB euro reference (cached daily).
Methodology
Forecast outlook: Conservative/Base/Optimistic scale the 2035 multiplier path and apply a sale-realisation haircut; small discount-rate nudge reflects risk.
REC pricing: V-REC/GO/I-REC converted to selected units (MWh or tCO₂e-eq via EF) and currency; tier factor applies to REC/EEC classes.
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Currency handling: Capex, O&M and savings are all in the selected currency. Credit prices are converted from their native currency via ECB rates.
Standards & Registries
Primary standards: Verra (VCS) & Gold Standard. Tool is Verra-first but surfaces Gold Standard context where relevant.
Market intel: See AlliedOffsets (market/registry analytics) and Gold Standard Dashboard for reference data and methodologies.
Demo Data
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Status Updates
Results
28% Electricity savings on HVAC equipment in an industrial environment in under 3 months
32% Carbon (tCO2eq) Carbon equivalent reduction
Significant Cost Savings: By leveraging the digital twin AI HVAC solutions, Coca-Cola Bottling reduced its energy consumption by 10%, resulting in substantial cost savings.
Reduced Emissions: The optimized HVAC operations led to a 15% reduction in carbon emissions, aligning with the company's sustainability goals
Carbon Credit Creation: with our internal partners, our projects are all eligible for our automated project and credit certification process.
Improved Comfort and Productivity: The digital twin AI solution enabled the maintenance of ideal temperature and humidity levels, enhancing the comfort of employees and improving productivity.
Enhanced Maintenance and Planning: The digital twins provided valuable insights for predictive maintenance, allowing the company to identify potential issues before they caused disruptions. This proactive approach minimized downtime and ensured efficient operations.
Increased Operational Efficiency: The digital twin AI solution provided real-time monitoring and control of HVAC systems, automating many tasks and reducing the need for manual interventions.
VCS Readiness Assessment
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