About SEERI
Solar Energy Estimator for Rooftop in Indonesia, in collaboration with GSMA MIH and Bappenas as the main partner, by utilizing digital technology to support energy transition in Indonesia, using GIS and Machine Learning to mapping the potential of PV rooftop in urban areas.
How This Works
Easy step by step, helping you with the investment decision to apply solar energy
01.
Identify the sites, Roof detection through aerial imagery and Determining maximum PV capacity based on the usable area.
Energy Potential Recommendation PV capacity installation
02.
Identify Demand assessment and load profile estimation, and determine maximum PV capacity based on peak at noon.
Available Roof Area for Solar Panels
03.
Assess energy yield potential to define PV specification, yearly energy yield estimation, and Self-consumption or RE share
Energy Potential Recommendation PV capacity installation
04.
Assess demand assessment and load profile estimation, and determine maximum PV capacity based on peak at noon.
LCOE (Levelized Cost of Electricity) ROI (Return of Invesment) IRR (Internal rate of return) Estimate CAPEX, etc.
05.
Measure the benefits of solar energy, find out CO2 emission based on the local grid, and trees equivalent of pollution reduced.
Estimated annual CO2 avoided
Pilot Location
Denpasar, Bali
Starting from Bali, with 100% urban area data covered, we aim to cover all the cities in Indonesia where solar energy holds the biggest environmental, economic, and energy potential.
Visit Map