For municipalities, businesses and housing associations

Solar screenings

SolarSim makes it easy to screen the solar potential across an entire building portfolio. We screen for municipalities, businesses, housing associations, property companies and anyone else who owns several buildings.

You get an independent, precise overview of which buildings are the best cases to pursue. The reports are also frequently used directly as a decision basis in management, on the board or in a political committee.

The screening builds on electricity consumption imported from Eloverblik and our SolarSim tool. You receive an individual report for each address and a combined overview that makes it easy to compare potential and economics across the buildings.

How it works

1

You grant access to the consumption data

The screening builds on the buildings’ actual hourly consumption, imported from Eloverblik.

2

We tailor the screening to each building

At an initial meeting we set the framework for the screening. All relevant parameters can be adjusted individually, so the calculations match each building. This could be future electricity consumption, prices, specific panels, batteries and other relevant assumptions.

3

We screen every building

SolarSim simulates all realistic system configurations and optimises system, battery and economics for each address.

4

You receive reports and an overview

An individual report per address plus a combined overview that makes it easy to compare the buildings, and is often used directly as a decision basis.

5

Handover meeting

We go through the reports together, and you have the opportunity to ask questions about the results.

What the screening is built on

The screening is built on hourly data for the individual building. The algorithm simulates every realistic system size and lands on the one that fits the consumption best.

Consumption and metering points from Eloverblik

eloverblik-udtraek.csv Example

	MålepunktsID	Netselskab	Effekt_kW	Effekt_A	Vejnavn	Nr	Postnr	By	Forbrug_2025_kWh
1	571313100000010947	Elnet Vest A/S	110	160	Skolevej	12	9999	Eksempelby	630.624,21
2	571313100000023155	Elnet Vest A/S	69	100	Idrætsvej	3	9999	Eksempelby	248.982,88
3	571313100000031482	Elnet Vest A/S	43	63	Rådhusgade	1	9999	Eksempelby	187.794,66
4	571313100000047319	Elnet Øst A/S	43	63	Bibliotekstorvet	5	9998	Prøvestrup	152.663,82
5	571313100000052806	Elnet Øst A/S	22	32	Værkstedsvej	7	9998	Prøvestrup	96.310,55
6	571313100000068441	Elnet Vest A/S	17	25	Plejevej	22	9999	Eksempelby	74.109,03
	… and the rest of the metering points

We pull one row per metering point, match it to the address and use the actual hourly data as the foundation for every simulation. The export keeps its original Danish field names.

The system sized to the consumption

Aerial photo of a large building where ten roof surfaces are outlined in colour and numbered. Solar panels are drawn in on the surface the algorithm selected. — Example from a report. The roof surfaces are numbered, and the panels sit where the algorithm finds it optimal for this particular building.

What the algorithm computes on

Hourly electricity consumption imported from Eloverblik
Hourly electricity prices
Hourly shading profiles per roof surface
Hourly production values

Every roof surface computed

Surface	Roof area	Max	Panels	Pitch	Orientation	Shading	kWh/kWp
10 Surface 10 Selected	391 m²	144	144	27°	184° S	7.2%	1,091
Surfaces not selected
1 Surface 1	303 m²	123	–	30°	184° S	9.3%	1,068
4 Surface 4	201 m²	74	–	25°	185° S	7.7%	1,080
5 Surface 5	352 m²	156	–	26°	94° E	19.6%	833
8 Surface 8	179 m²	68	–	24°	275° W	2.6%	954
… and the remaining five surfaces

Every roof surface is computed on area, pitch, orientation, shading loss and expected production. Here the algorithm picked surface 10 with 144 panels and left the other nine out, because the system is sized to the building’s consumption.

What you get

Combined overview across the buildings

Example

Overview of the solar screenings

Your building portfolio

Total capacity

480 kWp

Annual savings

DKK 412,000

CO₂ savings/yr

36.4 t

Address	System (kWp)	Payback (yrs)	Annual savings (DKK)	CO₂ (kg/yr)
Skolevej 12	98.4	6.4	89,500	8,600
Idrætsvej 3	52.0	6.9	48,200	4,400
Rådhusgade 1	30.8	6.1	33,900	2,700
… and the rest of the portfolio

Individual report for every address

100% independent

Solar potential screening

Recommended solution: system size, panels per roof surface and battery
Electricity consumption: actual hourly data from Eloverblik
Roof analysis with selected roof surfaces
Energy analysis: production, self-consumption and self-sufficiency
Investment and operating costs
Financial overview: annual savings and 25-year savings
Battery assessment: every battery size simulated
Sensitivity analysis on system size
CO₂ savings calculated with hour-by-hour CO₂ intensity
Calculation parameters and detailed financial appendix, plus CSV/Excel data on request