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IMPHORAA: Nano-Grid Evolution and Future Proofing

Wed, 21 December, 2022

As a key member of the IMPHORAA consortium, Brunel University is developing methods to simulate all aspects of the micro-grid system. This will visualise the expected evolution of main nano-grid parameters such as voltages, currents, battery state of charge, residential, freezing units and water pump loads. This will enable predictions of how many electronics clients can power and will ensure the grids aren’t oversized or underused.

These simulations take input load data from residential clients and freezers provided by Nanoé in the field, as well as testing data obtained by other partners. The process also considers the different system configurations, available components, and geographical parameters for both Madagascar and the Philippines installations. Furthermore, these simulations provide partners with a costing tool that can assist with estimating the overall cost of the system per energy unit.

The initial simulation, which made use of raw data from nano-grids already in the field, was developed in the last quarter. For an image of the processed data please see the figures, below:

Figure 1. Image of processed data from in-field nano-grid, state of charge of the system throughout the day
Figure 1. Image of processed data from in-field nano-grid, state of charge of the system throughout the day
Figure 2. Image of more data, PV power output and a graph of capital
Figure 2. Image of more data, PV power output and a graph of capital

This data, and data from future components, will be implemented to see if existing grids can support all the appliances that have will be added. These simulations input load data for residential clients and freezers that provided by Nanoé as well as testing data obtained by other partners. The process also considers the different system configurations, available components and geographical parameters for both Madagascar and the Philippines installations. Furthermore, these simulations provide partners with a costing tool that can estimate the overall cost of the system per energy unit. The graphs below show temperatures and sun levels in both areas in which these systems will be installed. These graphs were used to validate if the solar systems where viable or not.  

Figure 3. Temperatures and solar irradiance for The Philippines and Madagascar
Figure 3. Temperatures and solar irradiance for The Philippines and Madagascar

This project is supported by Innovate UKs Energy Catalyst Programme (funding by the Foreign, Commonwealth Development Office through their Transforming Energy Access Programme) and UK aid and was awarded as a “subsidy” under the UK International Obligations for Subsidy Control and delivered under Grant 90935 from Innovate UK