We had a talk with our partners at EPTISA to learn more about the simulations which are expected to take place in West Bengal (India) in the upcoming months.
In the upcoming months MUSE GRIDS DSM and Multi-energy planning tool will be virtually tested in the Bali Island village in West Bengal (India). Could you tell us a bit more about the simulations which are expected to take place?
Bali Island village is a rural site in the Sundarbans (West Bengal), an area of great environmental wealth, until recently completely dependent on solar power and diesel generators, and therefore an actual energy island. Nowadays the State Electricity company has started electrification and it is in the process of connecting all the households and other establishments through grid connectivity.
The simulations that we will run as part of the MUSE GRIDS DSM with the Energy Plan planning tool will be directed to the development of a local smart grid that promotes energy exchanges between different providers, including the assessment of the performance of a neighbourhood battery, in order to improve the efficiency of the system in terms of RES energy consumption and CO2 emissions.
How EPTISA will contribute to this virtual demonstration?
Our contribution will be based on two pillars: Eptisa implantation in the Indian subcontinent, and Eptisa knowledge of the local practices and local administration. Our implantation will allow us to deal with the local agents and achieve locally monitored data related to energy consumption and energy grids specifications, while our knowledge of the Indian energy and environmental frameworks will allows us to access to the relevant agencies and the information they can provide, and establish the adequate scenarios simulation.
What are the main challenges you expect to encounter?
Usually the main challenges would be related to the difficulty to achieve accurate data, and an accurate evaluation of the data available. The pandemic entails an additional burden, due to the restrictions imposed to mobility, as well as to the data collection. Notwithstanding, we hope we can solve these problems thanks to the commitment of our technical personnel, and the possibility of replacement of some of the locally monitored data with other relevant available data.