Morrow /
A brighter way to understand home energy.
A friendly green identity and a detailed miniature solar home introduce the energy story. The next section lets visitors change assumptions and follow the calculated flows.
- Practice
- Immersive websites
- Built by
- Lumia Digital
- Application
- Independent source & workspace
- Current release
- Local / September 2026
A brighter way to understand home energy.
A friendly green identity and a detailed miniature solar home introduce the energy story. The next section lets visitors change assumptions and follow the calculated flows.
Svelte energy model and D3 SankeyThe problem worth solving.
An energy conversation can become confusing when solar power, household demand, battery capacity and energy over time are mixed together. A battery rated in kilowatt-hours does not promise that its full capacity can be delivered at any power or without losses. Morrow offers a bounded scenario workspace where the assumptions and resulting flows can be inspected together before a consultation.
A user enters constant solar and load power, battery capacity, initial stored energy, a battery power limit, one-way efficiency and an interval length. The application calculates the balance, shows the flows in a three-dimensional scene and lets the user save contrasting scenarios. A consultation request captures selected saved versions so a later change does not rewrite the assumptions that were submitted.
The demonstrated task compared a sunny charging interval with an evening discharge interval using synthetic inputs. The evidence establishes arithmetic behaviour, saved comparisons and a local consultation record. It does not predict a home's annual generation, select equipment, estimate financial return or establish an installation recommendation. Those questions require additional site data, time-series assumptions and qualified review beyond this simplified model.
Designed for: People preparing an energy consultation and practitioners who want a clear way to discuss basic solar, load and battery relationships. It suits an assumption-led conversation or demonstration, rather than a procurement, tariff or engineering-design decision made from a single output.
From input to a useful result.
Set a clearly named interval
Enter the solar and load power in kilowatts and choose the number of hours for which those values are held constant. Name the scenario for its assumptions, such as a sunny afternoon or an evening demand interval. A useful name explains the situation instead of implying that it is a forecast.
Describe the battery constraints
Set capacity and initial stored energy in kilowatt-hours, the charge or discharge power limit in kilowatts, and the one-way efficiency. Initial energy cannot exceed capacity. These inputs determine whether surplus solar can be stored and how much usable power the battery can supply during a deficit.
Inspect the balance and save alternatives
Review grid import or export, battery movement, ending energy and conversion losses alongside the visual flow. Save the scenario, change one or more assumptions and save a second named case. Use the comparison table to inspect both the input differences and their resulting energy balances.
Export and request a local review
Download a saved scenario PDF or select up to five saved scenarios for a consultation request. Enter the contact details requested by the form and review the selected names. The request preserves those scenario snapshots locally; it does not send an email or imply that a practitioner has accepted an appointment.
What the software actually did.
These results come from internal workflow testing of the local product. The records are controlled test inputs; customer deployments and commercial impact have not been measured.
Six HTTP groups passed across 42 requests
The acceptance run checked charging and discharging arithmetic, full and empty batteries, zero power, no battery capacity, ideal efficiency, numeric validation, request contact validation, edit replay and workspace isolation. It also verified that changing a scenario after creating a consultation did not change the consultation's saved snapshot.
A charging case produced an explicit balance
With 8 kW solar, 3 kW load, a 10 kWh battery initially at 2 kWh, a 4 kW power limit, 90 percent efficiency and two hours, the fixture charged at 4 kW and exported at 1 kW. Ending battery energy was 9.2 kWh and conversion loss was 0.8 kWh. These are calculated fixture values, not observed household generation.
The contrasting discharge case matched the model
Changing solar to 1 kW and load to 6 kW produced 0.9 kW of battery output, 4.1 kW of grid import and zero ending stored energy over the same interval. Conversion loss was 0.2 kWh. The browser comparison correctly displayed the corresponding 8.2 kWh of imported energy, keeping power and energy units distinct.
Make the boundary clear.
- Each scenario assumes constant solar and load power for one interval. It does not simulate a daily or annual time series, weather changes, shading, appliance cycling or variable battery-control schedules.
- Efficiency is a simplified one-way conversion assumption. The model does not include battery degradation, temperature effects, standby consumption or detailed inverter operating curves.
- There is no verified live telemetry, tariff engine, financial payback calculation, equipment sizing service or grid-connection assessment. A visually plausible result should not be treated as an installation recommendation.
- Consultation requests are saved locally with scenario snapshots. They do not send email, create an external appointment or demonstrate a response from a real energy professional.
Questions before you start.
Is the result a forecast for my home?
No. It is a calculation for the constant-power interval you entered. It can explain how the chosen assumptions interact, but it does not know your roof, weather, appliance schedule or future demand. A forecast would require a different set of inputs and evaluation.
Why does stored energy fall faster than delivered battery energy?
With efficiency below one hundred percent, some stored energy is lost during conversion. For example, the tested 90-percent-efficient discharge uses 2 kWh from storage to deliver 1.8 kWh over two hours, with 0.2 kWh reported as loss.
Why is solar exported while the battery is not full?
The battery may be limited by its charge power. In the tested sunny interval, solar exceeds load by 5 kW but charging is limited to 4 kW, so 1 kW remains for export. Capacity and power constrain different parts of the calculation.
Will editing a scenario change an existing consultation?
The consultation retains the saved scenario snapshot selected when the request was created. Later edits do not rewrite it. This preserves the reviewed assumptions; create a new request if the revised scenario is what a future reviewer should receive.
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