A practical sequence from data to operation.
We aim for clarity over complexity. If advanced controls are helpful, we explain what data they rely on and what happens when inputs are missing. This reduces surprises during commissioning and everyday operations.
Each solution area can be used on its own or combined into a full project pathway. The best starting point depends on what you already have: some teams need a sizing review before procurement, while others have an installed system that needs commissioning verification or a better dispatch plan. The common thread is repeatable, explainable decision-making that aligns storage behavior with efficiency targets.
We translate interval data and operational goals into a sizing range for kW and kWh, then validate it against constraints such as interconnection limits, inverter capability, and backup requirements. The output is a rationale you can share internally, including what assumptions drive results and how sensitive outcomes are to changes in load or tariff. This avoids oversizing and prevents systems that cannot deliver peak power when needed.
Efficiency comes from control strategy: when to charge, when to discharge, and what reserve to keep for outages or critical operations. We define dispatch rules that reflect tariff timing, seasonal changes, and site behavior. We also document fallback behavior for communication loss or missing meter inputs. The result is dispatch that stays consistent, explainable, and safe within agreed operating limits.
We help teams verify that metering points, CT orientation, setpoint logic, and protection limits are configured correctly. Commissioning verification is built around test cases that reflect real operating modes: peak control, solar charging, reserve protection, and transfers during outages where applicable. We also outline a post-commissioning verification window so performance can be confirmed using telemetry rather than assumptions.
We define a small set of KPIs that operations teams can review consistently: peak demand reduction behavior, charge source mix, discharge destination, state-of-charge utilization, and event logs. Reporting is designed to be operational, not decorative. If a KPI changes, the report should help you understand whether it is due to site behavior, tariff changes, control settings, or sensor issues.
Storage systems interact with tariffs, weather, operations, and the grid. Without a documented approach to change control, settings drift and performance becomes hard to explain. We provide playbooks that cover common events such as demand excursions, inverter derates, meter dropouts, and planned maintenance. The playbook includes what to check, what to record, and when to escalate, so teams can maintain efficiency gains without relying on tribal knowledge.
A short discovery call helps us understand your goals and constraints, then recommend the most effective solution area to begin with. We will explain what data is needed and how it will be used.
Site context changes which solution levers matter most. A home with solar may prioritize self-consumption and essential-load backup, while a commercial building may focus on brief demand spikes that drive demand charges. Industrial sites often need explicit limits and a clear approach to operational events. Our process maps each site type to a set of practical decisions: where to measure, which loads are controllable, what reserve policy makes sense, and which KPIs provide early warning when performance changes.
Residential solutions emphasize backup circuit planning, reserve settings, and daily self-consumption behavior. We explain usable capacity, expected runtime, and how charge behavior interacts with export limits. For homeowners, success means predictable behavior: knowing what stays powered during an outage, how to prioritize essential loads, and how the system charges during normal days without creating unnecessary cycling.
Commercial sites often have predictable business hours but variable peaks. Our solutions focus on peak shaving, tariff alignment, and controls that reduce manual effort. We also emphasize metering correctness, because small configuration errors can cause the system to charge at the wrong time. Reporting is designed for monthly review, so teams can confirm performance without digging through raw data.
Industrial environments benefit from conservative limits, clear escalation paths, and a documented approach to setpoint changes. For multi-site fleets, the priority is consistency: standardized KPIs, alert thresholds, and playbooks that travel with staff changes. We help teams separate site-driven changes from configuration issues, so performance conversations remain grounded in evidence and operational reality.
Storage conversations often get stuck on a single number such as battery capacity. In practice, efficiency optimization depends on how power and energy are used through the day, how much reserve must be maintained, and which constraints limit dispatch. These answers summarize how Lugovum approaches common questions without relying on unrealistic assumptions.
We start with interval data to quantify how often peaks occur, how long they last, and which hours drive demand charges. We then test dispatch strategies that cap demand at a chosen threshold, accounting for battery power limits and reserve policy. The outcome is a set of scenarios that show sensitivity to load variability and tariff structure, rather than a single headline figure.
kW is the instantaneous power the system can charge or discharge, which matters for short peaks and equipment starts. kWh is the usable energy, which determines how long the system can sustain a given power level. Many efficiency use cases require both: enough kW to control peaks and enough kWh to maintain support across the relevant time window. We size both dimensions to match your specific load shape.
Storage can reduce exposure to certain tariff components, especially demand charges or time-of-use rates, when dispatch is aligned with the billing structure. We avoid absolute promises and instead provide scenario-based estimates tied to your actual tariff and load. Stability improves when dispatch is predictable and monitored, with clear rules for reserve management and seasonal transitions.
Yes. Many requests involve verifying commissioning results, correcting metering or setpoint behavior, or improving reporting so performance is easier to review. We can help you define a verification plan, identify likely causes of performance drift, and propose changes that are documented and reversible. For ongoing operations, we encourage change control so updates are traceable.
If you have a project goal in mind, contact us and we will respond with the best starting solution area and the minimum information needed.