Energy Planning
Before You Invest —
Calculate
the Return.
With simulation, not guesswork. ROI modeling based on actual consumption data, LCOE calculation, and scenario analysis — so you make the best decision on your energy investments.
Simulation Modules
Data-Driven Decisions for Energy Investments
Each module answers one key question needed to make the investment decision.
Consumption Profile Analysis
Detailed consumption pattern analysis based on actual measured data or industry standard profiles — broken down by day, week, and season, with peak load and trough identification.
Solar Energy Potential
Site-specific solar irradiance data (PVGIS, TMY) for optimal PV system sizing, shading analysis, and annual yield calculation — before the investment decision.
Storage System Optimization
Battery capacity and charging strategy optimization based on consumption and generation profiles — considering arbitrage, peak shaving, and maximizing self-consumption.
ROI & LCOE Calculation
Full lifecycle cost analysis (LCOE), payback period, net present value (NPV), and internal rate of return (IRR) modeling across different financing and energy price scenarios.
Scenario Analysis
Comparison of different system configurations, energy price changes, and consumption scenarios on simulated data — risk analysis using Monte Carlo methods.
Decision Document
Structured investment proposal with simulation results, alternative comparisons, risks, and financing options — presented in a format understandable to decision-makers.
Process
From Data Collection to Decision Proposal
Three steps — typically 2–4 weeks.
1
Data Collection & Site Assessment
Gathering consumption data, building/site data, and site-specific characteristics. Where needed, a short measurement period is commissioned.
2
Simulation Model Setup
Consumption profile modeling, PV + storage system simulation, financial model calibration with site-specific data and energy price expectations.
3
Results & Decision Proposal
Simulation results presentation, alternative comparison, risk analysis, and concrete investment recommendation — in a report understandable to decision-makers.
Tools & Methodology
Scientific Foundations, Expert Tools
Python / Pandas PVGIS / TMY data SAM (System Advisor Model) Power BI Monte Carlo simulation LCOE / NPV / IRR BESS optimization Excel financial model
Request a Free Preliminary Estimate
Based on consumption data, we'll show the expected return range at the first consultation — with no obligation.