Renewable Asset Management
Siting, bankability, storage, operations
For: Renewable Energy Director · Asset Manager · Project Developer · Investment Analyst
The challenge
Renewable energy projects fail not because of bad technology but because of disconnected workflows. Siting decisions are made in one tool, financial modeling in spreadsheets, construction handoffs on paper, and operations monitoring in yet another platform. The bankability assumptions used to secure financing rarely survive contact with real-world irradiance variability, soiling rates, and grid curtailment. Asset owners lack visibility into whether their portfolio is performing at P50, P75, or P90 — and by the time annual performance reports reveal underperformance, months of revenue have already been lost.
Meridia modules that help
Renewable Assets
Solar siting, wind assessment, scenario economics
Forecasting
Demand, generation, price, and weather forecasting
Battery Storage
Sizing, dispatch optimization, degradation, market ops
Demand Response & Flexibility
Load flexibility, demand response, virtual power plants
Facilities & Metering
Portfolio monitoring, meter hierarchies, EnPIs, power quality
Procurement
Strategic sourcing, PPA structuring, hedging, and risk management
How it works
- 1
Site assessment and resource analysis
Evaluate candidate sites using satellite-derived irradiance data (GHI, DNI, DHI), terrain analysis, and grid interconnection proximity. Run preliminary energy yield estimates with location-specific loss chains — soiling, shading, temperature coefficients, inverter clipping — to rank sites by technical viability.
- 2
Bankability-grade energy yield assessment
Produce P50/P75/P90 energy yield estimates following IEC 61724 and industry-standard uncertainty methodology. Model full loss chains including near-shading from obstructions, horizon profiles, bifacial gain, and long-term degradation. Generate reports that meet lender and investor due diligence requirements.
- 3
Financial modeling and PPA structuring
Build 25-year financial models with LCOE, IRR, DSCR, and NPV under multiple scenarios. Evaluate PPA structures against projected generation profiles. Model battery storage co-location for revenue stacking — capacity firming, arbitrage, ancillary services — and assess the marginal economics of storage additions.
- 4
Operational performance monitoring
Track portfolio-wide performance ratios, availability, and degradation against bankability baselines. Detect underperformance at the inverter and string level with automated root-cause classification — soiling, shading, equipment fault, grid curtailment. Trigger corrective maintenance workflows before warranty claim windows close.