Tenza Climate Solutions
Offsets / Credit Predictions
Estimation Process
Welcome to the Impact Projects Explorer
This interactive application provides an analysis of estimated carbon offsets for selected indicative renewable energy and energy efficiency projects, primarily focusing on current Indian initiatives. The data presented is based on a detailed report that quantifies potential annual and 10-year $CO_2$ equivalent offsets. These estimations are live but indicative, subject to adjustments and precision as on-ground surveys and detailed baseline data are processed for specific project sites.
For current and forecast carbon credit values, including EU ETS and voluntary markets (EEC/REC), please visit our dedicated pricing page: Tenza One Credits Pricing.
It's important to note that while this explorer focuses on offset volumes, the market valuation of these credits can differ. For instance, Energy Efficiency Credits (EECs) or those from removal projects often command higher prices than some Renewable Energy Credits (RECs), reflecting factors like project type, co-benefits, and perceived additionality, as detailed on our pricing page.
The explorer currently covers:
- A 30MW Solar Thermal & Storage facility (indicative) displacing 50% coal and 50% grid electricity.
- A 7.5MW Solar Thermal & Storage facility (indicative) with similar displacement characteristics.
- An Energy Efficiency (HVAC) project (indicative), demonstrating impact from a single facility intervention, displacing grid electricity. Potential for enhanced efficiency is also shown.
Navigate through the sections to delve into specific project details, compare their offset potentials, understand the key assumptions and emission factors, and explore strategic considerations. Remember that these are indicative estimates designed to be refined with more granular project data.
Solar Thermal Projects
Utility-scale solar with storage. Estimates are indicative.
Energy Efficiency
HVAC upgrades. Estimates indicative for single facility interventions.
Data-Driven Insights
Explore indicative estimations, subject to refinement.
Project Deep Dive
Explore the details of each indicative project type. Solar estimates use an indicative 40% capacity factor. The HVAC EE project illustrates impact from a single facility intervention, with notes on potential enhancements. Figures are illustrative and will be refined with site-specific data.
Note: For solar projects, offsets are from displacing 50% coal-based electricity (OM proxy: $0.962 \text{ tCO}_2/\text{MWh}$) and 50% grid-based electricity (CM: $0.757 \text{ tCO}_2/\text{MWh}$). HVAC projects displace grid electricity. All calculations incorporate indicative assumptions and are subject to refinement.
Offset Potential Analysis
This section provides a tabular comparison of the indicative carbon offset potentials across the analyzed project types. The HVAC EE project is shown with a base efficiency improvement and a potential enhanced scenario. These are preliminary figures for illustrative purposes.
Consolidated Summary Table (Indicative Estimates)
| Project Description | Capacity / Indicative Annual Savings | Annual Offsets (tCO₂e) | 10-Year Offsets (tCO₂e) |
|---|
The table visually emphasizes the varying scales of offset volumes. The HVAC project shows a base and potential enhanced scenario.
Key Factors & Assumptions (Indicative Projects)
Carbon offset estimations rely on baseline emission factors and project assumptions. Data is primarily from India's Central Electricity Authority (CEA) for FY 2023-24. Indicative assumptions are applied for these projects, to be refined with specific survey data.
Emission Factors (India, FY 2023-24)
- Grid Emission Factor (Combined Margin - CM): $0.757 \text{ tCO}_2/\text{MWh}$. Used for new renewable energy projects displacing grid electricity.
- Effective Coal Displacement Emission Factor (Operating Margin - OM proxy): $0.962 \text{ tCO}_2/\text{MWh}$. Used as a proxy for coal-fired power displacement.
Source: Central Electricity Authority (CEA), India. These factors convert energy to carbon offsets.
Assumptions for Solar Thermal Projects (Indicative)
- Capacity Factor (CF): 40%. An indicative estimate for Indian solar thermal plants with storage. Actual CF depends on site surveys and engineering.
- Operational Hours: 8760 hours/year.
- Displacement: 50% coal, 50% grid electricity.
The 40% CF is an initial indicative assumption. Site-specific data may lead to adjustments.
Assumptions for Energy Efficiency (HVAC) Project (Indicative)
- Base Annual Energy Savings (20% Improvement): Approx. 1,321 MWh. This represents a significant HVAC efficiency upgrade in a single large facility, achieving ~1,000 $\text{tCO}_2\text{e}$/year.
- Potential Enhanced Annual Energy Savings (30% Improvement): Approx. 1,981.5 MWh. This represents a further optimized HVAC efficiency upgrade in a single large facility, achieving ~1,500 $\text{tCO}_2\text{e}$/year.
- Displacement: Grid electricity (using CM: $0.757 \text{ tCO}_2/\text{MWh}$).
These MWh savings are indicative for a substantial single-facility intervention. For example, a 20% saving (1,321 MWh) might come from a baseline consumption of ~6,600 MWh. Actual savings and offsets depend on detailed energy audits, specific technologies deployed, and verified operational data for any given project.
Sensitivity & Refinement: Emission factors may decrease as India's grid cleans. Assumed solar CF and actual EE project savings are significant variables; deviations based on detailed surveys will impact final offsets.
Strategic Insights & Considerations (Indicative Projects)
Analysis of carbon offsets from these indicative projects offers insights for stakeholders, bearing in mind the preliminary nature of estimates.
- Data Rigor is Key: Emphasize thorough on-ground surveys for site-specific data to refine indicative estimates.
- Conservative Baselines for Planning: Useful for initial planning; aim for precision with processed survey data.
- Technology Choices Matter: Efficient thermal storage is crucial for solar thermal. Actual performance dictates offsets.
- Understand Methodologies: Stay updated with evolving carbon market methodologies.
- Baseline Consistency: Continued provision of clear, updated national/regional emission baselines is vital.
- Streamline Carbon Market Framework: Efficient regulatory processes for project approval, MRV, and credit issuance.
- Support Data Accessibility: Facilitate access to detailed regional tariff data.
- Revenue Diversification: Credits offer additional revenue. Note price volatility and preliminary offset estimates.
- Holistic Project Viability: Assess core economics alongside carbon revenue. Offset potential refined post-surveys.
- Dynamic Baselines: Grid emission factors likely decline, affecting future credits per MWh.
- Due Diligence on Assumptions: Scrutinize assumptions. Await refined data for final investment decisions.
These indicative projects, once realized, can contribute significantly to national decarbonization. A robust carbon market is crucial for monetizing these benefits.