We Turn Data Into Engineering Models, and Models Into the Right Energy Decision

Standards-based, independent engineering studies grounded in measured data: power system analysis, energy investment feasibility, technical specification and bid evaluation. Every delivery is document-controlled and revision-traceable.

BESS Feasibility — Scenario Comparison

Sample Scenario

Daily load profile (MW)

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BESS Feasibility — Scenario Comparison
ScenarioPeak reductionPreliminary payback
Peak shaving0.8 MW / 1.6 MWh18–22%5–7 years
Arbitrage1.0 MW / 2.0 MWh—6–8 years
Hybrid1.0 MW / 2.0 MWh12–15%4–6 years
This is a sample scenario prepared with representative data; it cannot be used as an investment decision on its own.
  • Document-controlled delivery
  • Work under NDA
  • Revision management

Reference standards

  • IEC 60909
  • IEC 60255
  • IEEE 3000
  • IEEE 1584
  • NFPA 70E
  • EN 50160
  • IEC 61000

Reference framework only; not a certification or accreditation claim.

Methodology and quality framework

Decision Problems

Energy and power system decisions at industrial facilities usually start with questions like these.

Energy Analysis

  • Does a BESS investment make technical and financial sense for this facility?
  • Which scenarios can reduce peak demand cost?
  • How much can price- and load-forecast-based load shifting cut cost?
  • How should surplus solar generation be evaluated?

Power Systems Engineering

  • What is the current arc flash risk level at this facility?
  • Is protection coordination still valid for current load and fault conditions?

Project Management

  • Does the tender received actually meet the facility's technical requirements?

Three engineering disciplines

The Energy Analysis Model

Every analysis follows the same chain: measured data, a validated model, comparable scenarios and a clear decision framework.

01

Data

15-minute consumption and generation series, tariff structure, market prices and grid constraints are collected and validated.

ConsumptionGenerationTariffGrid

Schematic illustration; not real data

02

Model

Load profile, storage behavior and cost components come together in a single engineering model.

LoadStorageCostEngineering model

Schematic illustration; not real data

03

Scenario

Power, capacity and operating strategy variations are tested side by side on the same model.

Scenario AScenario BScenario C

Schematic illustration; not real data

04

Decision

Each option is reported with its technical and financial outcomes, assumptions and risks.

Scenario AScenario BScenario CTechnicalFinancialRisk

Schematic illustration; not real data

Sample Analysis Summary

The study below is a sample scenario prepared to show the method; real cases will be added when they are ready.

Explore case studies

BESS Feasibility

Sample Study

Context
A mid-sized manufacturing facility profile: ~12 GWh annual consumption, 2.5 MW peak demand, 1 MWp solar (sample values).
Question
Do the existing solar surplus and peak load make a storage investment technically and financially meaningful?
Approach
Twelve months of 15-minute consumption and generation data were validated; tariff components were broken down; peak shaving, arbitrage and hybrid scenarios were compared in a single dispatch model; results were stress-tested against price and degradation assumptions.
Outcome
A preliminary payback range of 4–6 years was calculated under the hybrid operating scenario. Two variables requiring clarification before an investment decision (tariff projection and solar expansion plans) were explicitly flagged in the report.

Insights

The latest technical notes on the methodology behind energy and power system decisions.

BESS & Energy Storage

The 5 Most Common Mistakes in BESS Feasibility Studies

Sizing from the annual bill total, a single-price scenario, ignoring degradation — the mistakes that invalidate a BESS feasibility study usually begin not in the calculation but in its inputs.

3 min read
Solar, Load & Flexibility Analytics

How Hourly Netting Changes Self-Consumption Strategy

Under monthly netting, the timing of generation is invisible. Under hourly netting, timing is everything — the midday surplus no longer earns its value by itself, and the self-consumption strategy has to be rebuilt from the ground up.

3 min read
Power Systems Engineering

Why an Arc Flash Study Is More Than Printing Labels

Arc flash is often taken to be a label stuck on a panel door. Yet the number on that label is the output of a calculation derived from the short-circuit analysis and the protection settings — and that calculation can be changed.

3 min read
See all insights

Technical Pre-Assessment

Based on your facility's consumption profile, tariff structure and investment question, we conduct a brief preliminary assessment and return a scope proposal defining which analyses are needed and what data they require.

Request a Technical Pre-Assessment