Objective
Wind energy is an attractive solution for the energy demands of remote installations. It could provide energy to remote Base
Station Sites, which account for up to 50% of the total operational costs in the Telecommunication Industry. It is also a
feasible source of energy in the agricultural sector. Farms spend around €50.000/year in power supply due to their remote
location with respect to power plants. Installation of Small Wind Turbines (SWT) that allow energy harvesting on-site will
produce operational cost savings of €32.000/year. However, large purchase costs and long return of investment (25-30
years) are strong barriers for wind power implementation.
Responding to these market needs, at EVR Motors we have invested so far €1.000.000 of private capital to develop a novel
direct drive generator: SWITLER. Using a lean philosophy design and eliminating non-desirable features we achieve a
manufacturing cost reduction of up to 60%. Reducing magnet mass materials in 20% and eliminating iron from the rotor, we
reduce the generator weight by up to 70% when compared to current solutions in the market. Furthermore, efficiency is
increased in as much as 96%. Our generator removes the need of a transformer, which enables the use of SWT applications
off-grid in remote areas.
This already patented (approval in process) technology will revolutionize the Small Wind Turbine manufacturer’s value of
chain. Our objective is to start SWITLER commercialization by 2017 introducing it in the SWT market. This market is
expected to increase massively from €768 million in 2013 to €2.517 million by 2020, at a Compound Annual Growth Rate
(CAGR) of 22%. Our market strategy will focus on Israel for the first two years. We will then percolate the European market
through UK, which accounts for 13% of the global market. After the 6 initial commercialization years, SWITLER sales are
forecasted to accumulate €25.728.000 revenues.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energycoal
- social sciencespolitical sciencespolitical transitionsrevolutions
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- natural sciencesmathematicsapplied mathematicsmathematical model
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Programme(s)
Topic(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
7863638 ASHKELON
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.