Validate client data before advising
Import Excel or CSV series and validate the period, unit and missing intervals before they affect the conclusion.
The simulation normalizes the project timeline to 15-minute intervals.
Energy simulations for energy professionals
From client data to defensible energy advice.
Bring interval data, grid capacity, EV charging and battery storage together. Compare variants and show clients which assumptions support the investment.
Client data and traceable assumptions form the foundation.
LianderStedinEnexisTenneTEPEX SPOTKNMI
Built for advisory work
One calculation basis, adapted to your role in the client project.
From independent feasibility study to supported proposal, every professional works from the same auditable client data.
01
Energy advisers
From analysis to defensible client advice
Compare scenarios, record assumptions and hand over the decision direction with evidence.02Installers
From technical variant to supported proposal
Show what fits within the connection before equipment and capacity are committed.03Asset suppliers
From product specification to the right client case
Compare BESS, EV and PV variants without separating the outcome from the site.The problem — The solution
The problem
Clients expect certainty while the evidence becomes scattered across files.
A profitable annual balance can still breach the grid connection. EV charging, PV generation and battery dispatch also affect the same intervals.
- Time lost validating and repairing client data
- Assumptions spread across spreadsheets and proposals
- Hard to explain why one variant is preferred
The solution
One advisory record connects data, scenarios and financial outcomes.
Build the client site as a topology, link measurement series and compare variants on equal assumptions. Every conclusion remains traceable to its inputs and scenario.
- A consistent method for every client case
- Scenarios compared across energy, peak and finance
- Handover retains data sources and assumptions
From client question to auditable advice
Advice is only strong when energy, grid capacity and finance tell the same story.
PeakPilot combines client data with scenario settings, connection limits, contract assumptions, DSO tariffs and KNMI-based PV profiles. Sources and assumptions remain visible for review and handover.
Build the client site in one topology
Connect the grid, PV, load, EV charging and battery storage as they interact on site.
Grid import and export limits remain separately visible.
Compare advisory variants fairly
Compare a baseline with planned assets, alternative profiles or adjusted financial assumptions.
Use the same measurement period and named assumptions in every comparison.
Hand over auditable advice
Bring energy balance, grid impact, time series, financial outcomes and decision direction into one reporting flow.
Important figures retain their unit, scenario and provenance.The facts stay attached to the decision.
No isolated dashboard metric. Every outcome retains its interval, asset and contract context.
15 min
calculation interval
The canonical timeline for simulation and peak analysis.
5
asset types
Grid, PV, load, EV charging and battery storage in the topology.
2
contract models
Fixed and dynamic energy contracts are supported.
How it works
Move from client intake to transferable advice in three steps.
Validate the client case
Import interval data and define the grid connection, contract and financial assumptions.
Build advisory variants
Add PV, EV charging or battery storage and make every change explicit.
Discuss and hand over
Compare engineering and finance and show which sources support the direction.
Illustrative decision case
An adviser tests the charging profile before selecting battery capacity.
An adviser helps a fictional logistics client expand its electric fleet while evaluating battery storage.
In the model
- Existing interval profile
- Planned EV charging demand
- PV generation
- Connection limits
- Battery variants
What the comparison reveals
The scenario comparison shows which intervals are driven by charging and when PV or battery dispatch has an effect.
Decision direction
Use a managed charging profile as the baseline, then assess battery storage as a separate investment step.
This is a fictional example, not a customer result or return promise. Outcomes depend on project data and assumptions.Fictional decision case
Current profileBaseline
Managed chargingTest first
BESS variantCompare next
Knowledge base
Read on where the decision gets technical.
Practical guidance on the data, assumptions and trade-offs behind business energy investments.
FAQ
Questions before you start modelling.
What client data do I need for a simulation?
Preferably use interval data with timestamps and load or generation, plus the grid connection limits. Add the client's contract and investment assumptions for financial results.
Can PeakPilot solve grid congestion for my client?
No. PeakPilot does not reserve transport capacity or replace the DSO. It shows how the client site performs within known limits and which scenarios can be supported.
Can I model EV charging and battery storage together?
Yes. Both are supported asset types and can be simulated with site load, PV and the grid connection in one topology.
What happens when client data is incomplete?
The import validation flags missing intervals and anomalies. Repair or replace the source data before relying on the outcome for client advice.
Are financial results guaranteed?
No. NPV, payback and costs follow from the selected scenarios and assumptions. Verify prices, lifetime, maintenance and replacements for your project.
How do I start a free simulation?
Create an account, open a project and add your first dataset and grid connection. You can then build and simulate a baseline scenario.
Make your next client recommendation auditable.
Start with the client data you already have and build a supported scenario comparison.
Start a free simulation