BESS & Energy Storage
Power and capacity sizing; technical and financial comparison of peak shaving, energy arbitrage and solar surplus storage scenarios. Results are reported with a payback range, NPV, IRR and sensitivity analysis.
Area of Expertise
Storage investment, optimization strategy and energy procurement are not standalone decisions; they require consumption, generation, tariff and market data to be modeled together. Energy Intelligence makes these decisions comparable — scenario by scenario, on a single engineering model.
These five areas are not separate service packages; they are analysis layers working on the same data foundation and model chain. A model built in one area becomes the input of another: solar generation analysis feeds storage sizing, consumption forecasting feeds procurement strategy.
Power and capacity sizing; technical and financial comparison of peak shaving, energy arbitrage and solar surplus storage scenarios. Results are reported with a payback range, NPV, IRR and sensitivity analysis.
EMS strategy and control logic definition for managing consumption, generation and storage together; optimization scenarios at single-facility or multi-facility scale. Our role is independent consulting — we do not sell EMS software.
Generation–consumption matching, self-consumption ratio, solar surplus management and facility flexibility potential, derived from 15-minute and hourly data.
Demand, consumption and solar generation forecasting; scenario analysis and technical–financial risk assessment for investment decisions.
No separate page: this area works as the scenario and decision layer of the other four.
Breakdown of tariff and invoice components, comparison of procurement options, and cost impact analysis of market price movements against the consumption profile.
The backbone stays the same across sub-areas: validated data, one model, comparable scenarios.
Data is validated before analysis; missing or inconsistent records are flagged in a separate data report.
Analysis quality is bounded by data quality. Missing or low-resolution data widens the result ranges; this is stated explicitly in the report.
Payback is always given as a range. No single-figure payback or savings guarantee is produced.
Market price and tariff projections carry uncertainty; scenarios make that uncertainty visible through sensitivity analysis rather than ignoring it.
The conclusion is not always "invest". If the data does not support the investment, that is the conclusion of the report.
A 12-month consumption series, recent invoices and solar generation data if available — that is all a preliminary assessment needs. From this data, we prepare a scope proposal defining which sub-areas correspond to your question and which analyses are needed.
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