Your Local Sydney – Ryde Solar Hero - Sunwiz - Solar Energy Consultants

Sydney - Ryde Local Solar Hero

Choosing who to buy solar power from can be hard.

But your choice just got easier if you’re living in the Sydney – Ryde region.

Do you want to do business with a successful local solar power company?

You should strongly consider the following:

2023’s Top Volume Solar Retailers in the Sydney – Ryde region include:
  • Smart Energy Answers
They are a Local Solar Hero for people living in Sydney – Ryde.

That’s according to the solar industry’s preeminent market analyst, using an authoritative dataset.

Customers typically trust their solar retailer’s recommendations on size, technology, and brand of solar equipment.
The long-term solar production and bill savings are heavily influenced by your solar retailer.
So choosing your solar retailer is a really important decision.

There are 4000 solar retailers in Australia, each claiming to be the biggest or the best.
Their competing claims can make your choice really difficult.

While many people like dealing with the largest solar companies in the nation or in their state, most people prefer to deal with local businesses.
And though size of business isn’t everything, larger businesses usually have reliable processes that deliver good outcomes for their customers time and time again.
So, choosing a company that’s large in your area makes a lot of sense.

Local Solar Heroes are companies top-ranked for solar power installed in your local area in 2023.
Local Solar Heroes are companies that installed more solar panels than most other companies in your locality.

SunWiz is Australia’s pre-eminent market analyst, and has been awarding the leading solar companies since 2015.
Our awards are open to everyone, are 100% objective & unbiased, and prestigious.

Local Solar Heroes are awarded on the basis of annual PV installation volumes in each Statistical Area 4 (an ABS-defined group of postcodes). To ensure a complete and fair appraisal, Serial Panel Validation data is analysed by a leading SPV agent, who appraises all retailers and reports to SunWiz the local rank of participating retailers.  Local Solar Heroes rank in the Top 10 in that location for kW installed using the SPV process in 2023.

Here's the area covered by Sydney - Ryde.

Here's the suburbs that count towards being a Local Solar Hero in Sydney - Ryde:

Beecroft 2119
Cheltenham 2121
Denistone 2114
Denistone-East 2112
Denistone-West 2114
East-Ryde 2113
Eastwood 2122
Epping 2121
Gladesville 2111
Henley 2111
Hunters-Hill 2110
Huntleys-Cove 2111
Huntleys-Point 2111
Macquarie-Park 2113
Marsfield 2122
Meadowbank 2114
Melrose-Park 2114
North-Epping 2121
North-Ryde 2113
Pennant-Hills 2120
Putney 2112
Ryde 2112
Tennyson-Point 2111
West-Ryde 2114
Woolwich 2110

Here's the area covered by Sydney - Ryde.

Here's the suburbs that count towards being a Local Solar Hero in Sydney - Ryde:

Beecroft 2119
Cheltenham 2121
Denistone 2114
Denistone-East 2112
Denistone-West 2114
East-Ryde 2113
Eastwood 2122
Epping 2121
Gladesville 2111
Henley 2111
Hunters-Hill 2110
Huntleys-Cove 2111
Huntleys-Point 2111
Macquarie-Park 2113
Marsfield 2122
Meadowbank 2114
Melrose-Park 2114
North-Epping 2121
North-Ryde 2113
Pennant-Hills 2120
Putney 2112
Ryde 2112
Tennyson-Point 2111
West-Ryde 2114
Woolwich 2110

 

 

 

 

 

 

 

 

 

 

 

 

Interval Meter Data Tool Disclaimer

  1. The Interval Meter Data Tool is designed to convert standard form meter data for the OpenSolar platform.
  2. Users are responsible for meeting the requirements of the data that needs to be uploaded to the tool, which extends to but is not limited to
    1. The completeness and accuracy of the data
    2. Ensuring that there are no missing records
    3. Uploading the data in one of the compatible intervals (15m, 30m or 1h).
  3. Data uploaded to the Interval Meter Data Tool should not contain multiple datasets. In the case an excel file is uploaded, only the first sheet will be considered.
  4. The accuracy of the output is dependent on the user’s dataset, therefore SunWiz does not guarantee the accuracy of the output.
  5. The user must acknowledge that the output of the tool is beyond the control of SunWiz, and they must ensure that the data is accurate on their own behalf.
  6. In the event that the program runs into an issue, the user will be issued with warnings or solutions to address or resolve the issue.
  7. If the user requires additional support, they can avail it as a separate service from SunWiz

Warranties on performance

The Interval Meter Data tool from SunWiz attempts to convert most frequently occurring types of standard meter data file types in specific formats for the purpose of being used on the OpenSolar platform. Unless mentioned otherwise, SunWiz does not extend any guarantee of any kind, either expressed or implied, on the limited success of the Interval Meter Data Tool and the extent of it’s automation. Depending on the user’s upload, the program may require additional inputs, the training for which is not included in the purchase of this service and can be purchased separately.

Quality of inputs

The user’s success is inherently dependent on the quality of their input uploaded to the Meter Data Tool. Therefore, the success of the tool depends on the user’s input, and it is the user’s onus to ensure that the data is accurate, complete and follows the input requirements.

Input requirements

The Interval Meter Data Tool accepts data in the 15-minute, 30-minute and 60-minute(hourly) intervals. In case the file is uploaded in an excel format (*.xls, *.xlsx, *.xlsm), only the first sheet of the file will be considered. Our tool is required to accept raw meter data, usually highlighted as ‘E’ data in its standard format; and therefore SunWiz does not guarantee that all data formats will be accepted.

For complete automation, the file must adhere to an acceptable standard format. In the case of an issue, the user will be provided with instructions by the tool on how it can be resolved. Warnings will be issued if the data is incompatible, incomplete with missing records and if multiple datasets are uploaded at once.