Fehlerhafte Kostenestimation in Machbarkeitsstudien
Definition
Cost overruns in German hydroelectric projects stem from inaccurate prefeasibility modeling. Stuttgart research identifies costing equation accuracy as 'the strongest affect on outcome of cost analysis.' Manual, spreadsheet-based estimation approaches introduce systematic errors; Monte Carlo simulations show wide variance in NPV projections. RETScreen and comparable methodologies, when properly calibrated, reduce estimation error by ~30-50% vs. baseline approaches.
Key Findings
- Financial Impact: 5-15% of total project capex (€500K–€10M+ per project); 30-40 hours/month in cost re-estimation and scope change management
- Frequency: Per project development phase; 1-2 major projects per operator per decade
- Root Cause: Manual cost equation development; inadequate validation against historical data; lack of Monte Carlo risk simulation; insufficient calibration to German-specific labor/supply costs
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Hydroelectric Power Generation.
Affected Stakeholders
Project Estimators, Finance Managers, Risk Officers, Development Engineers
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Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Suboptimale Turbinenauslegung und Designentscheidungen
Ineffiziente Turbinendisposition und manuelle Lastverteilung
Audit- und Registrierungskosten für Zertifizierungsscheme-Compliance
GoBD-Konformität in PPA-Abrechnung – Audit-Risiko durch manuelle Datenverarbeitung
Verzögerte PPA-Abrechnungszyklen durch manuelle Spot-Preis-Reconciliation
Billing-Fehler in Settlement-Berechnungen führen zu Refund-Cascades
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