Unzureichende Datenvisualisierung für Betriebsentscheidungen
Definition
Geothermal plants measure H2S concentration, injection rate, and production separately. Manual correlation of these datasets (or lack thereof) prevents data-driven decisions on H2S injection timing, well pressure management, and mineralization efficiency. Each missed optimization event costs 2–8 MWe-hours.
Key Findings
- Financial Impact: €5,000–€15,000 annually (estimated 4–8 production loss events × €1,500–€2,000 per MWe-hour equivalent; or 20–40 hours/year of manual data reconciliation at €150/hour)
- Frequency: Monthly/quarterly; 2–4 significant missed opportunities per year
- Root Cause: Siloed data systems (geophysical IP logging ≠ production SCADA ≠ injection monitoring); no integrated data lake; reliance on external consultants (€300–€500/day) for interpretation
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Geothermal Electric Power Generation.
Affected Stakeholders
Betriebsleiter (Plant Operations Manager), Verfahrenstechniker (Process Engineer), Data Analyst
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
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Related Business Risks
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Bußgelder für unzureichende H2S-Überwachungssysteme
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