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Nidec ASI brings renewable energy to an island in the Bahamas thanks to the creation of a microgrid


Nidec ASI, head of the Nidec Industrial Solutions business platform belonging to the Nidec Group, has won the tender for the creation of a microgrid on a tropical island in the Bahamas, location of a tourist park. The aim of the project, worth €1.5 million, is to reduce greenhouse gas emissions by 50% by the year 2020 and, at the same time, decrease by 70% the use of power generation from conventional sources (diesel) for the production of the energy necessary for the island’s consumption.

More specifically, Nidec ASI will supply the electricity grid’s entire control and management system, along with an energy storage system with a capacity of 2.5 MWh and a 700 kW rated power inverter. The components will contribute to the modernization of the existing plant, improving its performances even from the standpoint of the sustainability of the environment and the landscape. The project, in fact, has been structured in such a way as to reduce the impact on the uncontaminated nature, that is a feature of Caribbean islands, to a minimum.

This new contract demonstrates how Nidec ASI’s integrated approach is capable of offering state-of-the-art and tailored solutions that manage to adapt to customers’ needs, meet the highest safety and eco-sustainability standards and respect the landscape in which they are installed,” said Dominique Llonch, CEO of Nidec ASI and Chairman of Nidec Industrial Solutions. “We are truly proud of being able to contribute to a project that has, as its main objective, the reduction of greenhouse gases through the use of renewable energy”.

This project, that has once again exported the excellence of a remarkable Italian know-how to faraway places, confirms Nidec ASI’s standing among the world’s leaders in the creation of battery systems, inverters and their control systems, that have always been one of the company’s strategic elements and among the main drivers of a more sustainable development model on a global level.