Sol Search

SolSearch - Front Screen Image
Team Name: 
Omnidatum

We are combining information from MBIE and NIWA to use a custom sunshine profile, electcricity cost and usage data to calculate savings homeowners can make.

By using actual data, we eliminate a lot of the guesswork that current calculators are making - existing products in New Zealand use user-entered constants for values like how much of the electricity they will have to sell back to the grid, whereas we can compare the sunshine profile across different months of the year for a given address with trend data for household electricity usage by month.

Our proof of concept site shows a single grid-connected system, but we are keen to see this project expanded to include residential battery packs when they become viable, and commercially-scaled systems.  There is also scope to customise power usage based on users power bills.

With this we believe we can encourage the use of renewable energy and the shift towards smarter cities and communities.

Region: 
Team Prize Details: 
4 Auckland University of Technology (AUT) students, 1 The University of Auckland (UOA) students, Two Consultants.
Used Datasets: 
Dataset Name: 
SolarView
Publishing Organisation/Agency: 
NIWA
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
We are customising the sunlight energy available to solar panels at a users address by retrieving the sunlight report from SolarView.
Dataset Name: 
Electricity price monitoring
Publishing Organisation/Agency: 
Ministry of Business, Innovation & Employment
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Cost of grid energy is used to calculate savings based on kWh generation of the solar.
Dataset Name: 
Climate Summary
Publishing Organisation/Agency: 
MetService
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Provides human-readable sunshine hours to give users a human-relatable figure to help interpret the data we display.
Dataset Name: 
Sunshine Hours - Mean Total
Publishing Organisation/Agency: 
NIWA
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Provides human-readable sunshine hours to give users a human-relatable figure to help interpret the data we display (additional locations, combined with MetService information)
Dataset Name: 
Station Details
Publishing Organisation/Agency: 
NIWA
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Geolocation information to identify the closest monitoring location to the user. Where not available, Google Maps was used to provide an estimated co-ordinate.
Event Location: 
Auckland