Inspiration

Helping refugee settlements and Hospitals/Health Infrastructure in South Sudan to:

  • make the best their solar panel electricity generation
  • minimize storage costs
  • estimate energy needs and plan accordingly during emergency situations

Help the expansion of Renewables with Collective Self-Consumption schemes by:

  • make the best their solar panel electricity generation (no income loss for producer)
  • minimize storage costs
  • minimize electricity send back to the grid during peak production times

What it does

Provide forecasts for electricity generation and consumption a) through an API b) through a web app (for sites with no IT manager)

How I built it

Generation forecast: calling Solcast API Consumption forecast: 1- get user input through our endpoint 2- API grabs data from API and uploads the forecast FrontEnd: Data collection: a) Case A - User has data: directly from API b) Case B - User has no data: we provide the microcontroller script to read sensor data and post to API (user buys the hardware)

Challenges I ran into

Time management Reach a common understanding of the project's scope took some time Cross-functional team: sometimes hard to understand what others are doing, at what stage they are etc...

Accomplishments that I'm proud of

Built a transversal project with API infrastructure, machine learning, edge device control Built a prototype that anyone can use regardless of their IT skills Created a solution for a problem we really wanted to solve Met very cool people

What I learned

IT hard skills, Management, Communication ... too many things to sum up here

What's next for Gridless API

  1. Implementation: Proof of Concept in the Bentiu refugee settlement
  2. Implementation: Extension to other settlement (+ hospitals if possible)
  3. Functionality: Plug & Play IoT framework for appliance scheduling
  4. Implementation: Extend to Collective Self-Consumption scheme users
  5. Functionality: Prosumer matchmaking (based on Generation & Production curves)

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