Meridia
Energy Optimization
Renewable siting, battery dispatch, market ops
Plan renewable installations using methodology aligned with NREL System Advisor Model (SAM) for solar performance estimation. Optimize battery storage dispatch for time-of-use arbitrage and demand charge reduction. Evaluate demand response participation — all informed by your actual facility load data.
Renewable siting
Evaluate solar PV scenarios using location-specific GHI and DNI irradiance data for MENA locations — a region with some of the highest solar resources globally at 1,800-2,200 kWh/m²/year. Model system output, degradation curves, and financial returns.
Battery dispatch
Optimize charge/discharge schedules for time-of-use tariff arbitrage, demand charge reduction, and backup power. Model battery degradation under different cycling patterns to maximize asset lifetime value alongside operational savings.
Demand response
Identify demand response participation opportunities by analyzing your load flexibility. Model curtailable loads, shift-eligible processes, and backup generation capacity to quantify potential demand response revenue streams.
Scenario comparison
Compare multiple optimization scenarios — solar only, solar plus storage, demand response, hybrid configurations — with 25-year financial projections including LCOE, net present value, internal rate of return, and risk-adjusted sensitivity analysis.
How it connects
Optimization uses real metered consumption from Dashboard and Facilities to right-size renewable systems. Solar generation forecasts feed into Procurement for PPA profile matching, and battery dispatch schedules integrate with Power Quality for grid stability.