Initializing digital twin…
Bram House · Aadorp, Netherlands · 3DxVERSE building-level twin
Initializing digital twin…
Bram House · Aadorp, Netherlands · 3DxVERSE building-level twin
Twinlink.eu · Energy Analytics
How much electricity came from the grid each day, and how much you sent back (e.g. from solar).
Your total power bought vs sold in this period — a quick snapshot of grid dependence.
Smoothed daily trend — rising means you are using more from the grid over time.
Your typical electricity use on each day of the week.
This shows the difference between power bought and power sold each day.
Think of it as your daily electricity “bill balance” with the grid:
Calculated as: power bought − power sold. Zero means they balanced out that day.
Split between peak (day) and off-peak (night) tariff — useful for spotting when most power is consumed.
How many days you were a net buyer from the grid vs a net seller back to it.
Total power bought and sold per month.
Highest power demand recorded each day.
Daily surplus exported — usually from solar when production exceeds building use.
When this line is higher, more of your electricity need was covered by on-site generation.
Which weekdays typically send the most power back to the grid.
Grid import, grid export, and battery state of charge on the same timeline. Export spikes that line up with a battery already at 100% are solar being sold back instead of stored — the clearest sign that extra battery capacity would pay off.
"Estimated current capacity" is back-calculated from real charge/discharge energy vs. SoC change, not assumed. To size a larger battery and see the projected saving, use the Scenarios tab.
How full your home battery was over time (100% = fully charged).
Daily charge stored vs energy released — shows how actively the battery is used.
How much the battery level changed each day — larger swings mean heavier use.
Average daily grid import/export by season, across the full period on record — independent of the time-range selector above.
How hard the battery cycles each season (daily swing % and total kWh charged/discharged). Seasons with deeper, more frequent cycling put more wear on the battery than seasons where it mostly sits idle — useful context alongside the estimated capacity above.
Daily gas consumption.
Average gas use per day of the week — helps spot heating patterns.
Daily water consumption.
Average water use per day of the week.
Model changes against your real historical meter data — not generic averages. Adjust sliders to see estimated bill impact, payback, and CO₂ reduction before investing in extra solar, battery storage, or a heat pump.
All results are recalculated instantly from the same CSV period as the charts above.
Period energy costs, indoor air exposure hours, and fixed retrofit packages for side-by-side comparison. Use Print briefing for a meeting handout (browser print / PDF).
Daily bill from grid import, feed-in credit, and gas — same prices as Scenarios.
Elevated = CO₂ > 800 ppm · Critical = CO₂ > 1000 ppm. Hours summed across rooms.
Fixed packages (not live sliders). Comfort is a heating comfort proxy (1–5) — not measured IAQ.
Precomputed 30-day LSTM outlook per meter. Trained offline with a chronological 80% / 10% / 10% split, saved as CSV, and loaded here on request — no training in the browser.
Loads the saved LSTM forecast CSV for the selected meter.
Twinlink.eu · Indoor Air Quality
7-day hourly history · trends, alert rules & 3D replay
Hourly readings for the selected room. Click a point to replay that moment on the twin.
Toggle rules on or off. Violations appear live and during IAQ replay.
Current readings evaluated against your rules.
Average CO₂ across all rooms — click to scrub the 3D twin, or use the bottom bar.