In PVsell there are two types of consumption profiles: metering data and trading/non-trading data.
What's the difference between Meter Data and Trading/Non-Trading Consumption Profiles?
Metering data is great for when you have interval metering data for a particular customer for an entire year. This provides the most accurate assessment possible.
If you don't (yet) have interval metering data, you can use trading/non-trading data (i.e., set up a trading/non-trading type of consumption profile for the project). This is easier to adjust than meter data and helps to ensure the most accurate consumption profile possible and therefore return calculations.
Learn more: What options do I have if I don't (yet) have interval metering data?
PVsell's interval metering data engine is so elaborate that we can accept part-year data too, which is ideal when your customer has switched retailer in the past year, or when you've installed some temporary metering.
1. Upload and format your interval metering data in the usual way
Upload and format your customer's part-year interval metering data file, and stay on the editing page after clicking 'Set Columns':
2. After clicking 'Set Columns', you'll be warned that a part-year file has been detected
This warning will offer to extrapolate the data for you.
3. Click the "Yes, please extrapolate" text
This will convert the interval metering data into a trading/non-trading data format by averaging the consumption on weekdays/Sundays respectively, for each month where data is available.
4. Fill in the data for missing months
This is a critical step. If you don't fill in the missing months, then your ROI calculation will only be based on a part-years worth of results, under-selling your project
You'll then need to manually fill in the data for missing months – which you can do with Copy and Paste (Ctrl/Cmd+C & Ctrl/Cmd+V).
Make sure you do the same for both:
- trading
- and non-trading days.
5. After editing the data, click "Save changes"
5.1. If you have real life information, set up a metering data profile for the project and upload the data in the usual way
5.2. If necessary, you may need to pre-format the data
We try to make it as robust as possible, but you may need to do some pre-formatting. Important things to note are you can upload csv or excel formats (we work best with csv), the first row must be a header row with data starting on row 2.
5.3. How do we process the data?
We will notify you if we run into any errors. Once the data is uploaded you need to define the columns. We will sum kWh and average kW into hourly blocks. It's worth looking at the meta data to make sure everything has been entered correctly. When you're done, save changes.
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