Operations · Power BI template
Solar Generation Power BI template
Power BI solar PV dashboard template: generation vs expected, performance ratio, inverter availability, typical-day profile, lost energy by cause and revenue.
By Nawaf Sharaf · Founder & Reliability Engineer · Updated
Free for commercial useDark version: same layout, colours re-solved and checked for WCAG AA contrast.
BetaOpens in Power BI Desktop with 9 tables of sample data and every visual bound. See what’s inside
Free, no sign-up. The PBIP with sample data includes the background, theme and a README. 1920×1080 fits a new page in a Fluent 2 report; 1280×720 and 2× fit Classic pages. Downloads carry a small “Made with VizForge” mark (sign in to the studio to remove it).
- Layout
- Gradient band header, 5 KPIs, daily generation combo + typical-day area, loss bars + inverter table
- Page size
- 1280×720 px (16:9, Power BI default)
- Theme
- Emerald Finance
Open the sample-data PBIP in Power BI Desktop
Checked against Microsoft Learn's Power BI Desktop projects documentation (as of Nov 2026).
- 1
Unzip to a short path and open the .pbip
Extract the zip to a short local folder such as C:\PBI (Windows limits project paths to 260 characters, and Desktop can't save a project straight to OneDrive or SharePoint), then double-click the .pbip file or use File → Open in Power BI Desktop. Microsoft still lists projects and TMDL as preview features (as of Nov 2026): if Desktop won't open the project, go to File → Options and settings → Options → Preview features, tick “Power BI Project (.pbip) save option” and “Store semantic model using TMDL format”, then restart Desktop.
- 2
Select Refresh once
The project ships without the local data cache (.pbi/cache.abf), so Desktop opens the full model definition without data. Select Home → Refresh: every table is built from values written into its Power Query step, so there is no data source to sign in to.
- 3
Save as .pbix or connect your data
Use File → Save as to keep a single .pbix file, or open Transform data and replace each table's Source step with your own query, keeping the column names so the measures and visuals keep working.
What’s inside the Solar sample model
Rendered from the same definition the download writes as TMDL, so this list always matches the file.
Three fictional solar farms in Portugal (101 MWp in total) over September and October 2026: daily generation against expected yield, plane-of-array irradiation and export price, a typical-day hourly profile, monthly availability for 12 inverters, and energy lost by cause. Units: MWh; irradiation in kWh/m²; euros.
Tables and columns
Calendar
Date table · 2026, one row per dayDate table generated in Power Query (List.Dates), marked as the model's date table.
- Date (date)
- Year (whole number)
- Quarter (text)
- Month (text)
- Month Name (text)
- Week Start (date)
- Weekday (text)
- Fiscal Year (text)
Site
Dimension · 3 rowsSolar farms with installed capacity.
- Site (text)
- Region (text)
- Capacity MWp (decimal)
Inverter
Dimension · 12 rowsCentral inverters per site.
- Inverter (text)
- Site (text)
Loss Cause
Dimension · 5 rowsCategories of lost energy.
- Loss Cause (text)
Hour
Dimension · 15 rowsDaylight hours.
- Hour Label (text)
Daily Generation
Fact · 183 rowsMetered export, expected yield from irradiation, and the day's average export price per site.
- Date (date)
- Site (text)
- Irradiation (decimal)
- Generation MWh (decimal)
- Expected MWh (decimal)
- Export Price (decimal)
Hourly Profile
Fact · 45 rowsAverage output in each daylight hour (typical day).
- Site (text)
- Hour (whole number)
- Avg MWh (decimal)
Inverter Availability
Fact · 24 rowsHours available per inverter per month.
- Month (date)
- Inverter (text)
- Period Hours (decimal)
- Available Hours (decimal)
Energy Losses
Fact · 30 rowsEstimated energy lost per site, cause and month.
- Month (date)
- Site (text)
- Loss Cause (text)
- Lost MWh (decimal)
Relationships
Many-to-one, single direction. Inactive relationships are switched on inside a measure with USERELATIONSHIP.
- 'Daily Generation'[Date] → 'Calendar'[Date]
- 'Daily Generation'[Site] → Site[Site]
- 'Hourly Profile'[Site] → Site[Site]
- 'Hourly Profile'[Hour] → Hour[Hour]
- 'Inverter Availability'[Month] → 'Calendar'[Date]
- 'Inverter Availability'[Inverter] → Inverter[Inverter]
- Inverter[Site] → Site[Site]
- 'Energy Losses'[Month] → 'Calendar'[Date]
- 'Energy Losses'[Site] → Site[Site]
- 'Energy Losses'[Loss Cause] → 'Loss Cause'[Loss Cause]
DAX measures
All measures live in a dedicated Key Measures table. Copy any of them into your own model; rename the table and column references to match.
Generation (MWh)Energy exported.
Generation (MWh) =
SUM ( 'Daily Generation'[Generation MWh] )Format string: #,0
Expected (MWh)Energy expected from irradiation and capacity.
Expected (MWh) =
SUM ( 'Daily Generation'[Expected MWh] )Format string: #,0
Generation vs Expected %Actual over expected generation.
Generation vs Expected % =
DIVIDE ( [Generation (MWh)], [Expected (MWh)] )Format string: 0.0%
Performance RatioEnergy out over irradiation × capacity (the IEC 61724 style performance ratio).
Performance Ratio =
DIVIDE (
[Generation (MWh)],
SUMX ( 'Daily Generation', 'Daily Generation'[Irradiation] * RELATED ( Site[Capacity MWp] ) )
)Format string: 0.0%
RevenueGeneration × export price.
Revenue =
SUMX ( 'Daily Generation', 'Daily Generation'[Generation MWh] * 'Daily Generation'[Export Price] )Format string: €#,0
Typical Hourly MWhAverage output in the hour.
Typical Hourly MWh =
SUM ( 'Hourly Profile'[Avg MWh] )Format string: #,0.0
Inverter Availability %Time the inverters were available to generate.
Inverter Availability % =
DIVIDE ( SUM ( 'Inverter Availability'[Available Hours] ), SUM ( 'Inverter Availability'[Period Hours] ) )Format string: 0.0%
Lost Energy (MWh)Energy lost by cause.
Lost Energy (MWh) =
SUM ( 'Energy Losses'[Lost MWh] )Format string: #,0
What each visual is bound to
The PBIP opens with these fields already on each visual.
| Visual | Type | Fields |
|---|---|---|
| SiteSlicer | Slicer | Site[Site] |
| MonthSlicer | Slicer | Calendar[Month] |
| Generation (MWh)Card | Card | [Generation (MWh)] |
| vs expectedCard | Card | [Generation vs Expected %] |
| Performance ratioCard | Card | [Performance Ratio] |
| Inverter availabilityCard | Card | [Inverter Availability %] |
| RevenueCard | Card | [Revenue] |
| Daily generation vs expectedLine & column chart | Line & column chart | Calendar[Date], [Generation (MWh)], [Expected (MWh)] |
| Typical day by hourArea chart | Area chart | Hour[Hour Label], [Typical Hourly MWh] |
| Lost energy by causeBar chart | Bar chart | 'Loss Cause'[Loss Cause], [Lost Energy (MWh)] |
| InvertersTable | Table | Inverter[Inverter], Inverter[Site], [Inverter Availability %] |
Questions this dashboard answers
Each one is answered by a visual on the page, from the sample model's own tables and measures.
- Is each site generating what the irradiation says it should (performance ratio)?
- Which inverters were unavailable, and for how long?
- Where is energy being lost: curtailment, faults, outages or soiling?
- What did the energy earn at the export price?
About this dashboard layout
A solar asset manager's first question each morning is whether the sites produced what the weather allowed. The cards answer it: generation, generation against expected yield, the performance ratio (energy out over irradiation × installed capacity), inverter availability and revenue at the export price.
Daily generation is plotted as columns against expected generation as a line. Cloudy days drop both; a day where generation falls but expected stays high is an equipment or grid problem. The typical-day area chart shows average output by daylight hour, which is where clipping or early shading shows up.
Lost energy by cause ranks curtailment, inverter faults, grid outages, soiling and planned maintenance, so the operations contractor's report and the owner's view agree on where the megawatt-hours went. The inverter table is sorted by availability, lowest first, for the maintenance call.
The performance ratio uses irradiation measured on the panel plane and each site's capacity in MWp, both stored in the model, so the measure works for any site you add. The sample covers two months at three fictional Portuguese solar farms.
Visuals on the page
Positions are Power BI page pixels. Enter them in Format → General → Properties → Size and position, or use the PBIP download where they are already set.
| Visual | Type | X | Y | Width | Height |
|---|---|---|---|---|---|
| Site | Slicer | 920 | 24 | 160 | 40 |
| Month | Slicer | 1096 | 24 | 160 | 40 |
| Generation (MWh) | Card | 40 | 112 | 168 | 64 |
| vs expected | Card | 296 | 112 | 160 | 64 |
| Performance ratio | Card | 544 | 112 | 160 | 64 |
| Inverter availability | Card | 792 | 112 | 160 | 64 |
| Revenue | Card | 1040 | 112 | 160 | 64 |
| Daily generation vs expected | Line & column chart | 40 | 224 | 784 | 208 |
| Typical day by hour | Area chart | 872 | 224 | 368 | 208 |
| Lost energy by cause | Bar chart | 40 | 480 | 576 | 200 |
| Inverters | Table | 664 | 480 | 576 | 200 |
Custom visuals for this layout
Built-in Power BI visuals cover most slots above. These slots also suit a custom visual; each page covers the data shape, DAX and a prompt to generate it as a .pbiviz.
Slot: Generation (MWh)
KPI CardExecutive dashboard KPI row (revenue, customers, NPS, churn)
Slot: Typical day by hour
HeatmapHour-of-day × day-of-week traffic or activity patterns
Already have a report?
Brand Makeover tries Solar Generation first on every page of your Power BI project (.pbip zip) where it fits: the page's visuals have to go into its 9 data slots without overlaps. Pages it can't seat get another catalog layout or a brand grid. Queries, filters and bookmarks are left as they are. Free, in your browser.
Opens with the Analyst / Dense preset, because the Executive preset doesn't use this layout (9 data slots; this preset uses templates with at most 7).
Restyle my report into thisSwap a slot for a custom visual
Pick any slot and VizForge AI writes a custom visual (.pbiviz, with TypeScript source) sized to it, in this template's colours and shaped for the fields it is bound to.
Generate one that fits this layout.
Card · 168×64 px · bound to [Generation (MWh)]
1, 2 or 5 credits depending on the brief · 5 free on signup. Sign in or create a free account on the next screen; the brief is saved for 30 minutes.
A Power BI card visual titled "Generation (MWh)". It sits in a 168×64 px slot on a designed report page. Match the report's brand: data colours #047857, #0D95D2, #6366F1, #BF7B09, #DC2626, #64748B; background #FFFFFF; text #0B2B22; font Segoe UI. Transparent visual background so the page design shows through; no visual border. In the sample model it is bound to [Generation (MWh)]; keep the same data roles so the fields drop straight in.
Not sure what to build? Browse the visual catalog or open the template in the design studio and hand off any slot from there. Or start in the AI generator with a blank brief.
Colours and theme
Finance-ready Power BI theme in calm greens with DIN headings: variance-friendly good/bad colours, white cards, and a mint page for P&L and treasury reports.
Use the background in an existing report
Prefer to keep your own report? Apply the design to it instead of opening the PBIP.
- 1
Download the background
Take the 1920×1080 PNG for a new page in a Fluent 2 report (the default size for new pages), or the 2× PNG (2560×1440) for sharp text on a 1280×720 Classic page. Power BI scales the image to the canvas.
- 2
Set the canvas background
Format page → Canvas background → Browse. Set Image fit to Fill and transparency to 0%.
- 3
Import the theme
Design ribbon → Import theme (in the Power BI service: View → Theme pane), then pick the downloaded JSON. Data colours and fonts now match the design. Older Desktop builds: View → Themes → Browse for themes.
- 4
Place your visuals
Size each visual to the positions above with background and border off, or open the PBIP project where they are already placed.
Questions about this template
Does the Solar Generation template come with sample data?
Yes. The “PBIP with sample data” download contains a semantic model with 9 tables and 8 DAX measures, and every visual on the page is already bound to it. The sample: Three fictional solar farms in Portugal (101 MWp in total) over September and October 2026: daily generation against expected yield, plane-of-array irradiation and export price, a typical-day hourly profile, monthly availability for 12 inverters, and energy lost by cause. The data is written into each table's Power Query step, so there is no data source or sign-in.
Is it a .pbix file?
It is a Power BI project (PBIP): a folder of text files that Power BI Desktop opens like a .pbix. Open the .pbip file, select Refresh once to load the sample rows, then use File → Save as if you want a single .pbix.
What visuals are in the Solar Generation template?
The page has 11 visual areas: 2 slicers, 5 cards, 1 line & column chart, 1 area chart, 1 bar chart, 1 table. Their exact positions are listed on this page so you can match them in Power BI's Format → General → Properties panel, or skip that step by downloading the PBIP project.
Which theme does the Solar Generation template use?
It ships with the Emerald Finance theme (light tone). Download the theme JSON here, or open the template in the design studio and switch to any other theme or your own brand colours.
Is there a dark version of the Solar Generation template?
Yes. Switch the preview to Dark and every download (background, theme JSON and PBIP) comes in that version. The layout is identical; the page, card and text colours are re-solved for a dark page, and the accent, status and data colours keep their hues but are adjusted until text meets WCAG AA (4.5:1) and chart colours reach 3:1 against the cards.
How do I use the background image in Power BI Desktop?
Select the page, open Format page → Canvas background, choose Browse and pick the PNG, then set Image fit to Fill and transparency to 0%. Give your visuals a transparent background and no border so the designed panels show through.
Can I open the PBIP project in Power BI Desktop?
Yes. PBIR is the default report format in Power BI Desktop since September 2026, and the download is a PBIP project: unzip it and open the .pbip file, select Refresh once and the sample data loads into visuals that are already bound (the empty PBIP leaves the containers unbound for your own data). Microsoft still lists projects and TMDL as preview features (as of Nov 2026), so if Desktop won't open it, enable them under File → Options and settings → Options → Preview features.
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Team
Power BI for financeVariance bridges, balance-sheet smalls, scenario sliders — the finance visuals Power BI's native waterfall and cards don't cover.
KPI cards for this layout
Headline numbers drawn by one DAX SVG measure each, for the Card visual or a table row.
Want the headline numbers to look like cards rather than plain values? Browse the KPI card gallery or build your own in the SVG measure builder.
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Make the Solar Generation template yours
Swap in your brand colours and logo, move panels, add icons and generate missing visuals with AI, then export the background, theme JSON and PBIP project.
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