
Geothermal Plant Thermal Performance Analyzer
Diagnose geothermal plant thermal losses and optimize power output performance
What You Can Do
You can diagnose thermal efficiency losses across the entire geothermal conversion chain—from reservoir inlet through turbine exhaust to cooling system rejection. The skill quantifies heat losses at each stage, identifies whether degradation originates from reservoir decline, heat exchanger fouling, turbine erosion, or balance-of-plant issues, and ranks remediation options by revenue impact and capital requirement. This enables data-driven decisions on well stimulation, equipment replacement, or operational adjustments to restore plant output toward nameplate capacity.
Features
Calculate actual vs. design approach temperatures, detect fouling and scaling, quantify thermal resistance changes
Assess reservoir temperature trends, injectate breakthrough, scaling risk, and estimate remaining productive life
Map entropy generation across turbine stages, cooling tower, and auxiliary systems to pinpoint where losses concentrate
Compare actual output to design specifications and historical baselines, calculate revenue impact of efficiency loss
Systematically eliminate hypotheses using operational data, prioritize most likely causes with confidence assessment
Evaluate capital costs vs. revenue recovery for equipment replacement, well intervention, or operational changes
Benchmark thermal performance across multiple wells or plants to identify systemic vs. unit-specific issues
Example Output
Example 1: Heat Exchanger Fouling Diagnosis
- Detected: Approach temperature increased from 5°C (design) to 8.2°C over 6 months
- Root cause: Secondary heat exchanger fouling (estimated 40% flow area restriction)
- Impact: 2.8 MW power loss (€850k annual revenue)
- Recommendation: Chemical cleaning vs. mechanical tube cleaning with estimated 3-4 week timeline
Example 2: Wellbore Decline Assessment
- Reservoir inlet temperature: 167°C → 159°C over 3 years (declining at 2.7°C/year)
- Injectate breakthrough risk: 8-12 year timeline based on tracer data
- Current efficiency impact: 1.9% loss; projected 5.2% loss at breakthrough
- Recommendation: Well stimulation campaign planned Year 5 to restore 4°C temperature, avoid €2.3M revenue loss
Example 3: Turbine Stage Efficiency Loss
- High-pressure stage isentropic efficiency dropped from 87% to 81% (6% degradation)
- Blade erosion and surface roughness detected via thermodynamic back-calculation
- Impact: 3.1 MW loss (€940k annual revenue)
- Recommendation: Rotor replacement (€1.2M capex, 18-month ROI)
What's Included
- SKILL.md instruction file with diagnostic framework and thermodynamic equations:
- Heat Exchanger Analysis Template: data input worksheet with automatic fouling/scaling calculations
- Wellbore Diagnostics Checklist: temperature trend analysis, injectate breakthrough prediction, scaling risk assessment
- Thermodynamic Loss Mapping Worksheet: stage-by-stage entropy generation calculation and loss ranking
- Remediation Evaluation Matrix: capital cost vs. revenue recovery comparison for prioritization
Who It's For
- Geothermal Plant Operations Managers — diagnose unexplained efficiency drops and prioritize maintenance interventions
- Thermal/Mechanical Engineers — conduct performance audits, troubleshoot equipment degradation, support capital approval decisions
- Reservoir Engineers — assess wellbore temperature decline trends and plan well stimulation timing
- Plant Optimization Specialists — benchmark multi-unit performance and identify systemic improvement opportunities
- Renewable Energy Asset Managers — evaluate equipment replacement ROI and support long-term operational planning
Best For
- Annual and bi-annual geothermal plant performance audits
- Troubleshooting power output >2% below nameplate capacity
- Heat exchanger fouling and scaling diagnosis
- Reservoir temperature decline assessment and well intervention planning
- Capital investment decisions for equipment replacement or well stimulation
- Multi-plant performance benchmarking and comparative analysis







