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Team Name:

42Adelaide: Lachlan


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Evidence of Work

Energy4me

Project Info

Team Name


42Adelaide: Lachlan


Team Members


Lachlan

Project Description


App Preview

Energy4me is an application that pulls data from the National Energy Market, to better educate users on the most renewable times to use electricity. This would also work to alert users when it would be environmentally friendly to use their electric vehicle to send power to the grid (as vehicle to grid charging becomes more mainstream).

As an application, it becomes a push notification system based on the data from opennem.org, and bom data re prediction of weather patterns and their correlation to the type of electricity generated, thus encouraging users to utiltise electricity when it is most green.


#climate apps govhack2023 renewable savingmoney hobart

Data Story


Proposed data used in this project
NEM Data
This data is used in my project to display the current makeup of the energy supply to the grid, that in turn the consumers will be using. Based on this data, consumers are informed of the most renewable and cost effective time to use their electricity. In conjunction with this, as vehicle to grid charging becomes more widely available, it will allow my app to notify people when it would be climate friendly to plug in their vehicle to supply some power back to the grid.
Bureau of Meteorology Climate Data
In conjunction with NEM data, my application would compare previous weather data with respective NEM data from that time period, and based on that, compare the current weather, and make a prediction on the upcoming NEM values.
BOM - Data services for weather information
Using the forecast weather predictions provided through BOM, we can use this data to accurately predict the supply of renewable energy, when compared to similar past weather and NEM data.
ABS - Census Data
Using this data, my product would estimate and predict the future draws on the grid based on user uptake of EV's (based on the vehicle census data).
City of Hobart - Building Footprint Data
This data would be used, to help more business targeted clients with my solution, to use building data, and, along with information provided by the user, accurately predict best times for energy usage, and the costs associated with the energy use at different times.
Population Projections
Population projections are used in Energy4me, in conjunction with NEM (National Electricity Market), and current population census data, to predict the amount of draw the population will be putting on the grid.


Evidence of Work

Video

Homepage

Team DataSets

ABS Census Data

Description of Use Using this data, my product would estimate and predict the future draws on the grid based on user uptake of EV's (based on the vehicle census data).

Data Set

City of Hobart - Building Footprint Data

Description of Use This data would be used, to help more business targeted clients with my solution, to use building data, and, along with information provided by the user, accurately predict best times for energy usage, and the costs associated with the energy use at different times.

Data Set

BOM - Data Services for weather information

Description of Use Using the forecast weather predictions provided through BOM, we can use this data to accurately predict the supply of renewable energy, when compared to similar past weather and NEM data.

Data Set

Bureau of Meteorology Climate Data

Description of Use In conjunction with NEM data, my application would compare previous weather data with respective NEM data from that time period, and based on that, compare the current weather, and make a prediction on the upcoming NEM values.

Data Set

NEM (National Energy Market Data)

Description of Use This data is used in my project to display the current makeup of the energy supply to the grid, that in turn the consumers will be using. Based on this data, consumers are informed of the most renewable and cost effective time to use their electricity. In conjunction with this, as vehicle to grid charging becomes more widely available, it will allow my app to notify people when it would be climate friendly to plug in their vehicle to supply some power back to the grid.

Data Set

Population Projections, ABS

Description of Use Population projections are used in Energy4me, in conjunction with NEM (National Electricity Market), and current population census data, to predict the amount of draw the population will be putting on the grid.

Data Set

Challenge Entries

Towards a zero emissions and resilient Hobart

Hobart and our region are already experiencing the impacts of climate change. We seek creative and innovative approaches that leverage open data to help the community better understand and communicate climate risk, enable community-wide participation in action and solutions, and accelerate our transition towards a zero emissions and resilient city.

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to addressing climate change in Hobart and the region - https://data-1-hobartcc.opendata.arcgis.com/.

Go to Challenge | 9 teams have entered this challenge.

Amp up SA: Forecasting Electric Transport for Grid Resilience

How might we prepare our state for the growing electrification of the transport sector?

Eligibility: The solution must focus on the impact to South Australia.

Go to Challenge | 3 teams have entered this challenge.

Addressing climate change and cost of living pressures for apartment dwellers and owners with shared renewables

Of South Australians living in apartments, townhouses and other shared buildings, how can we find out how many of them have the opportunity to support renewable energy?

Go to Challenge | 4 teams have entered this challenge.