IPSO
Our State-of-the-art Power Systems Optimiser
To achieve net-zero emissions, there is an urgent need for a transition to low carbon power systems. The IPSO software was developed to tackle this critical system transformation by generating techno-economic insights on power system planning to ensure energy sustainability, affordability, and security.
Geographical Analysis
Mapping Generation Potential with Techno-economic Constraints
IPSO can perform simulations that encompass techno-economic limitations through Geographical Information System (GIS) analysis to generate power system planning constraints, such as the maximum installed capacity of a range of generation technology at each given site.
The tool is also capable of performing scenario analysis to capture wider system constraints through the lens of political, social, and economic uncertainties.
Stochastic Weather Simulation
Our software is capable of fetching the latest available weather data (NASA's MERRA-2 weather station database) to generate site specific intermittent renewable's load profiles across over 100 stochastic weather conditions.
100 representative scenarios are generated using a stochastic statistical method to factor in future uncertainties in weather conditions. This allows the least-regret power system investments across a range of weather conditions to be identified.
The Weather is Unpredictable and IPSO Knows That.
Electricity Demand Evolution
Our software is able to simulate the evolution of electricity demand profile (expected uptake of EVs, changes in household and industry electricity demand etc) across locations on an hourly data granularity.
This functionality ensures that the power system is designed with long-term resiliency.
Sophisticated Demand Growth Simulation
Power Optimisation
IPSO can perform whole power system optimisation using the comprehensive data sets generated (at hourly and location specific granularity) under a 10 - 30 years planning horizon.
This robust optimisation capability of our software allows for the realisation of the least-cost low-carbon power system transition pathway (ie. how much capacity of each generation technology should be installed at each location, as well as networks planning).
Stress-test can also be performed upon request to calculate the social, environmental, and economic benefits of additional low carbon solution proposed.
