Climatenza — Colgate-Palmolive Sanand Solar Thermal Project
Climatenza — Colgate-Palmolive Sanand Solar Thermal Project Assessment v4
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Project Story
Overview
Climatenza conducted a comprehensive feasibility study for integrating an ASC-based solar process heat system at Colgate-Palmolive's Sanand facility in Gujarat, India.
The study covers technical feasibility, financial viability, sustainability impact, and geopolitical risk, aiming to validate a phase-1 deployment of 6 ASC15 concentrators connected downstream of the PRS at 2.8 bar(g) into the LP steam system, with a dedicated HTF loop and thermal storage.
The integration ensures solar steam is injected into the LP header, preserving boiler master control while enabling storage dispatch to smooth demand.
Resource assessment shows Sanand's DNI is high enough for CSP viability with eight months of strong solar resource.
Economic analyses indicate a pre-tax IRR of 15.8%, a simple payback of 7.0 years, LCOH of INR 1,554/MMBtu, and annual CO2e avoidance of 308 tCO2e.
Phase 2 expansion to 12 ASC15 units could raise solar fraction to ~80-85% annually and approach near-full coverage for 8 months, with cost reductions per unit and enhanced decarbonization.
The project aligns with Colgate's renewable electricity mix (46.8%) and presents a strategic hedge against LNG price volatility, particularly under Strait of Hormuz disruption scenarios.
The document also outlines implementation timelines, risk analyses, and a pathway toward full decarbonization with 16 ASC15 units in the long term.
Verified Impact Data Card
Climatenza — Colgate-Palmolive Sanand Solar Thermal Project
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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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
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Status Updates
LoI signed for a client-financed set of 4 project site surveys in India
Site-Wise Breakdown & Proposal
1. Oral Care Factory – Goa
Process Use: Heating water to ~185°F for dental cream production
Fuel: 351,130 m³ natural gas (2024)
Boilers: 2 (850 kg/hr) working + 3 (600 kg/hr) standby
Available Area: 1,263 m² (roof), 707 m² (ground)
Proposed Solar Thermal Integration:
System Size: ~1,500 m² ASC field (roof + ground)
Output: Hot water generation at 85–90°C
Integration Point: Pre-heat feed water into main process tank or boiler inlet
Carbon Savings: ~620 tonnes CO₂e/year
2. Personal & Home Care Factory – Baddi
Fuel: 379,621 m³ natural gas
Temperature Need: ~185°F (~85°C)
Boilers: 1×2TPH dual fuel + 3×600 kg/hr standby
Available Area: 2,854 m² (ground & roof)
Proposed Solar Thermal Integration:
System Size: ~2,500 m² ASC field
Output: Hot water loop integration into existing storage tank
Carbon Savings: ~675 tonnes CO₂e/year
Business Model
Model: CAPEX (client-owned)
Pilot Phase: Initial 300 m² system for testing & validation
Scalability: Expand to 2500–3000 m² in Phase 2
Proposal: Full feasibility report submitted to Colgate engineering team for validation
3. Toothpaste Plant – Barwala (Data Pending)
Assumptions:
Similar size to Baddi
Natural gas or diesel-based boiler
Steam/hot water heating process
Proposal:
Action: Conduct energy audit and boiler performance review
Preliminary Plan: Install 1,500–2,000 m² ASC field
Integration: Boiler feedwater preheating or direct process hot water
Expected CO₂ Reduction: ~400–500 tonnes/year
4. Toothbrush Manufacturing – Sanand (Tentative)
Load Type: Electrical load with potential hot water needs for cleaning/drying
Feasibility: To be determined based on process audit
Conceptual Proposal:
Use Case: Hot water for pre-cleaning or injection molding / cooling
Integration: Hybrid solar PV + thermal (if hot water needed)
Action: Initiate technical audit to determine heating/cooling use
VCS Readiness Assessment
Summary
The Colgate-Sanand ASC solar feasibility study demonstrates strong technical and economic foundations, including detailed ASC15 design, TES, HTF, robust DNI-based resource assessment, and compelling 25-year financial metrics. However, its VCS readiness is hampered by missing safeguards, stakeholder engagement documentation, a formal monitoring plan, and several PDD/ methodology compliance gaps that must be addressed before validation.
Scores
Checklist
Section 1: Project Details 54%
| Item | Status | PDD | Notes |
|---|---|---|---|
| Project Start Date | ✗ | 1.11 | Evidence is missing. |
| Crediting Period Duration | ✗ | 1.12 | Evidence is missing. |
| Crediting Period Type | ✗ | 1.12 | Evidence is missing. |
| Other Certifications | ✗ | 1.16 | Evidence is missing. |
| Host Country | ✗ | 1.5 | Evidence is missing. |
| GPS Coordinates | ✗ | 1.5 | Evidence is missing. |
| Project Proponent Contact | ✗ | 1.8 | Evidence is missing. |
| Project Client / Offtaker | ● | 1.8 | Evidence is weak or non-specific. |
Section 2: Safeguards & Stakeholder Engagement 12%
| Item | Status | PDD | Notes |
|---|---|---|---|
| Stakeholder Consultation Process | ✗ | 2.1 | Evidence is missing. |
| Stakeholder Feedback Summary | ✗ | 2.1 | Evidence is missing. |
| Grievance Redress Mechanism | ✗ | 2.2 | Evidence is missing. |
| No Net Harm Assessment | ✗ | 2.4 | Evidence is missing. |
| Respect for Human Rights & Equity | ✗ | 2.4 | Evidence is missing. |
| Worker and Labour Rights | ✗ | 2.4 | Evidence is missing. |
| Free, Prior, Informed Consent (FPIC) | ✗ | 2.4 | Evidence is missing. |
| Community Health and Safety | ✗ | 2.4 | Evidence is missing. |
| Cultural Heritage Protection | ✗ | 2.4 | Evidence is missing. |
| Gender Equality Considerations | ✗ | 2.4 | Evidence is missing. |
| Indigenous Peoples Rights | ✗ | 2.4 | Evidence is missing. |
| Biodiversity Impact | ✗ | 2.4 | Evidence is missing. |
| Water Resource Impact | ✗ | 2.4 | Evidence is missing. |
| Consultation Dates / Timeline | ✗ | 2.1 | Evidence is missing. |
| Participant Demographics | ✗ | 2.1 | Evidence is missing. |
| Written Grievance Records | ✗ | 2.2 | Evidence is missing. |
| Biodiversity Baseline Assessment | ✗ | 2.4 | Evidence is missing. |
| Stakeholder Feedback Integration Evidence | ✗ | 2.1 | Evidence is missing. |
Section 3: Methodology Application 46%
| Item | Status | PDD | Notes |
|---|---|---|---|
| Methodology Version | ● | 3.1 | Evidence is weak or non-specific. |
| Methodology Applicability Check | ✗ | 3.2 | Evidence is missing. |
| Additionality Demonstration Summary | ✗ | 3.5 | Evidence is missing. |
| Regulatory Surplus | ✗ | 3.5.1 | Evidence is missing. |
| Additionality Justification Type | ✗ | 3.5.2 | Evidence is missing. |
| Investment Barriers | ✗ | 3.5.2 | Evidence is missing. |
| Technological Barriers | ✗ | 3.5.2 | Evidence is missing. |
| Common Practice Analysis | ✗ | 3.5.2 | Evidence is missing. |
| Methodology Conformity Mapping | ✗ | 3.2 | Evidence is missing. |
| Financial Hurdle Rate | ✗ | 3.5.2 | Evidence is missing. |
| Market Conditions Analysis | ✗ | 3.5.2 | Evidence is missing. |
| Regulatory Baseline Check | ✗ | 3.5.1 | Evidence is missing. |
Section 4: GHG Quantification 3%
| Item | Status | PDD | Notes |
|---|---|---|---|
| Baseline Emissions (tCO2e/yr) | ✗ | 4.2 | Evidence is missing. |
| Baseline Emissions Approach | ✗ | 4.2 | Evidence is missing. |
| Project Emissions (tCO2e/yr) | ✗ | 4.3 | Evidence is missing. |
| Project Emissions Approach | ✗ | 4.3 | Evidence is missing. |
| Leakage Emissions (tCO2e/yr) | ✗ | 4.4 | Evidence is missing. |
| Leakage Assessment | ✗ | 4.4 | Evidence is missing. |
| Net GHG Emission Reductions | ● | 4.5 | Evidence is weak or non-specific. |
| Emission Factors & Data Sources | ✗ | 4.2 | Evidence is missing. |
| Calculation Spreadsheet/Tool | ✗ | 4.1 | Evidence is missing. |
| Uncertainty Assessment | ✗ | 4.6 | Evidence is missing. |
| Ex-Ante Data Parameters | ✗ | Table in 4.2/4.3 | Evidence is missing. |
| Ex-Post Monitored Parameters | ✗ | Table in 5.1 | Evidence is missing. |
| GWP Values Source | ✗ | 4.1 | Evidence is missing. |
| Baseline Fuel Consumption | ✗ | 4.2 | Evidence is missing. |
| Project Fuel Consumption | ✗ | 4.3 | Evidence is missing. |
| Energy Production / Savings | ✗ | 4.2 | Evidence is missing. |
| Operating Hours / Capacity Factor | ✗ | 4.2 | Evidence is missing. |
| Grid Emission Factor (Regional) | ✗ | 4.2 | Evidence is missing. |
| Multi-GHG Breakdown (CO2/CH4/N2O) | ✗ | 4.1 | Evidence is missing. |
| Uncertainty Quantification Method | ✗ | 4.6 | Evidence is missing. |
Section 5: Monitoring Plan 22%
| Item | Status | PDD | Notes |
|---|---|---|---|
| Monitoring Plan Summary | ✗ | 5.1 | Evidence is missing. |
| Equipment Accuracy | ✗ | 5.1 | Evidence is missing. |
| QA/QC Procedures | ✗ | 5.2 | Evidence is missing. |
| Calibration Procedures & Frequency | ✗ | 5.2 | Evidence is missing. |
| Data Management System (DCS/SCADA) | ✗ | 5.3 | Evidence is missing. |
| Record-Keeping & Archiving | ✗ | 5.3 | Evidence is missing. |
| Monitoring Roles & Responsibilities | ✗ | 5.4 | Evidence is missing. |
| Emergency Procedures | ✗ | 5.5 | Evidence is missing. |
| Equipment Make / Model | ✗ | 5.1 | Evidence is missing. |
| Equipment Serial Numbers | ✗ | 5.1 | Evidence is missing. |
| Equipment Installation Date | ✗ | 5.1 | Evidence is missing. |
| Calibration Certificate Location | ✗ | 5.2 | Evidence is missing. |
| Data Logger / Historian System | ✗ | 5.3 | Evidence is missing. |
| Data Archival Retention Period | ✗ | 5.3 | Evidence is missing. |
| Named Monitoring Responsible Party | ✗ | 5.4 | Evidence is missing. |
| Non-Compliant Data Procedure | ✗ | 5.2 | Evidence is missing. |
Methodology
- VCS Methodology
- AMS-II.C: Thermal energy production with or without electricity
- Version
- Not found in document
- Project Type
- Ayman Solar Collector (ASC) – 5th generation CSP for industrial process heat; solar thermal with direct TES integration
- Capacity
- Phase 1: 6 ASC15 units; total nominal peak thermal output ~700 kWth; design solar steam generation ~900 kg/h; annual solar steam production ~2,201 tonnes/year
- Baseline Scenario
- Existing steam system baseline: Colgate Sanand currently uses three natural-gas-fired boilers (2.0 TPH + 2.0 TPH + 0.75 TPH) producing steam at 8.5 barg, reduced to 2.8 barg LP header after PRS; baseline fuel data: 2025 steam generation ~4,590,989 kg/year, 12,090.65 MMBtu/year natural gas consumption, annual gas cost ₹17.45 million/year. Baseline steam demand ~4,593 tonnes/year; average delivered gas cost ₹1,443.1/MMBtu.
Ghg
Monitoring
Not mentioned in document
Action Plan
- Collect and document information for Project Start Date
- Collect and document information for Crediting Period Duration
- Collect and document information for Crediting Period Type
- Collect and document information for Other Certifications
- Collect and document information for Host Country
Assessment History
The Colgate-Sanand ASC-15 solar thermal feasibility study demonstrates strong technical, resource, and financial documentation with explicit quantified GHG reductions and robust sensitivity analysis. ...
The project demonstrates extensive technical planning and a detailed methodology for the solar thermal system with explicit emissions avoidance estimates. However, critical gaps remain in safeguards, ...