Net0link — Comprehensive Energy Audit of Chiller System at Enrich Agro Food Products
Net0link — Comprehensive Energy Audit of Chiller System at Enrich Agro Food Products Assessment v2
Offer Parameters & Calc Defaults committed by project owner — investors see these in the Finance Calculator
Project AI Research Agent
Project Story
This project involves deploying Net0Link's AI-based HVAC optimization system across six FMCG bottling facilities operated by Enrich Agro, a major Coca-Cola bottler in India. The system leverages IoT sensors, automated controls, and an AI engine to continuously monitor, analyze, and optimize HVAC system performance, resulting in significant energy savings and CO₂ emission reductions. The initiative is supported by a 10-year hybrid energy sharing and SaaS contract, with projected annual reductions exceeding 6,000 tonnes of CO₂, contributing to Enrich Agro’s sustainability goals. The project benefits include lowered energy costs, reduced operational emissions, enhanced efficiency, and improved maintenance, aligned with global ESG and net zero commitments.
Verified Impact Data Card
Net0link — Comprehensive Energy Audit of Chiller System at Enrich Agro Food Products
This project's impact data is structured for Scope 3 Category 15 (Investments) reporting. Verified emissions reductions can be attributed to investor portfolios under the GHG Protocol Corporate Value Chain standard.
CSRD alignment under ESRS E1 (Climate Change) is in preparation and will be available once the EU taxonomy technical screening criteria are finalised for this project category.
Decentralised physical infrastructure network integration
will provide real-time MRV telemetry for this project.
Ask about this project's carbon methodology, Scope 3 reporting, DePIN integration, or emissions data.
What is this card?
The Verified Impact Data Card summarises the key environmental and assurance metrics for this project. Data is pulled live from VCS assessments and on-chain commitments.
How to read the data
- Emissions Reduction — Estimated annual CO2e avoided or removed, derived from the project's VCS methodology and baseline scenario.
- Overall Score — Composite VCS readiness score (0–100%) covering additionality, permanence, leakage, and MRV quality.
- REC % — Alignment with Renewable Energy Certificate issuance criteria.
- EEC % — Alignment with Energy Efficiency Certificate criteria.
- Phase — Current stage in the project development lifecycle.
- DePIN Integrity — Data integrity score from decentralised sensor network (uptime, calibration, completeness).
Glossary
- VCS — Verified Carbon Standard (Verra), a leading carbon credit certification programme.
- tCO2e/yr — Tonnes of carbon dioxide equivalent per year.
- VVB — Validation/Verification Body, the independent auditor that reviews project claims.
- Evidence Tier — Classification of supporting evidence quality (e.g. Tier 1 = measured data, Tier 3 = default factors).
- Commitment Hash — Cryptographic hash of the assessment data committed to blockchain for tamper-proof audit trail.
- DePIN — Decentralised Physical Infrastructure Network, providing real-time sensor-based MRV data.
- Scope 3 Cat. 15 — GHG Protocol category covering financed emissions from investments.
- CSRD / ESRS E1 — EU Corporate Sustainability Reporting Directive, climate change disclosure standard.
- MRV — Measurement, Reporting, and Verification.
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Investment Calculator
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
Primary endpoint: /wp-json/tenza/v1/prices (Auto tries relative; falls back to https://tenza.one/wp-json/tenza/v1/prices).
Project data: /wp-json/wp/v2/tenza_project (loads meta: emissions, funding, scores, stage, tech type).
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.
Financials: All internal calculations in the selected currency. Annual net flow = (credit revenue × (1−haircut) + optional savings) − O&M. KPIs: IRR (Newton-Raphson), NPV and discounted payback at your rate.
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
When LIVE is unavailable or Demo is selected, seeded baselines are used for tickers and trends so charts never render blank. Badges above clearly show DEMO.
Project selector fetches live data from the WordPress REST API. If the API is unreachable, the selector is hidden and manual inputs remain fully functional.
Status Updates
Project Initiation Results:
Deal Structure: 1.
10-Year Energy Sharing Agreement
85% revenue share for Net0link (Years 1–5)
50%split (Years 6–10).
a. Rohtak Site Impact:
Annual Energy Savings: 1,313,091 kWh ($100,000 + saved)
(Audited by BEE certified Auditor, Verified and Approved by Customer)
Net0link Revenue: $750,000
Years 1–5: $95,000/year → $475,000
Years 6–10: $55,000 /year → $275,000
Expansion: LOI for 5 additional Coca-Cola sites within 6 months on SaaS model d.
Strategic Significance:Proof of Scalability: Transitioning from energy-sharing to SaaS model post-success.Carbon Credits: 10.7K tons CO2 reduction → ₹46.4 lakh in additional revenue.
The audit was initiated as part of a larger corporate strategy to:
1 Reduce operational costs
2.Minimize environmental impact
3. Improve system reliability and performance
4.Align with global sustainability goals
5.Enhance the company's competitive edge in an increasingly eco-conscious market
The proposed technology solution targets multiple benefits:
Up to 25% reduction in total energy costs
20-40% reduction in carbon footprint
60% increase in occupant comfort
Results
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.
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.
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.