Custom generation data for solar PV (photovoltic) designs refers to the specific, user-provided information about the expected energy production of a solar power system over a specific period. The data is crucial for evaluatin the performance and efficiency of system & typically based on hourly solar generation estimates and is used to create more accurate and tailored solar energy models.Here are ket components of generation data:
Energy Output:
The total amount of electricity produced by the solar panels, usually measured in kilowatt-hours (kWh).
Time Intervals:
Data recorded at specific intervals (e.g., hourly, daily, monthly) to show how energy production varies over time.
Peak Power:
The maximum power output achieved by the system, typically measured in kilowatts (kW).
Enact Platform allows users to upload hourly generation data in CSV format, known as the Enact template. Additionally, users can upload data in the Helioscope format.
Steps to Upload a Generation File
Navigate to the Design Page:
- On the Enact Platform, go to the design page.
Access Additional Tools:
- Click on the 'Additional Tools' option.
Go to Energy:
- Select the 'Energy' section within the additional tools.
Enable Use Custom Generation:
- Toggle the button to 'On' for uploading custom generation data.
Download CSV Template:
- A CSV template is available here. Download it to your device.
Update the Template:
- Fill in the template with your hourly generation data.
Upload the Template:
- Once updated, upload the CSV template back to the platform.
- Upload generation data either in Enact CSV or Helioscope format. Attached is the Enact CSV file template
Once uploaded, the data is integrated into the design software, allowing the system to use this specific information to predict energy production. Enact will then use this data to generate performance estimates, financial projections, and other important metrics for the solar PV system.
In summary, custom generation data is crucial for creating accurate and optimized solar PV designs, particularly in complex or large-scale projects. It allows for tailored energy production estimates that consider site-specific factors, leading to better performance and financial outcomes