MODINVECI PROJECT

COLLABORATION FOR THE DEVELOPMENT OF A SYSTEM TO MODEL THE IMPROVEMENT OF THE LOAD INFRASTRUCTURES, NECESSARY TO POSIBILITATE THE PENETRATION OF THE TRANSPORT WITH ELECTRIC VEHICLE (VE) IN THE CITIES

GECIVAL SL has been selected by the Peruvian company GREEN ENERGY SRL to collaborate in the project called MODINVECI, which tries to model the planning of the necessary infrastructures, to enable the evolution towards non-polluting and economic transport with VE. In the same, it is proposed the development of a model along with a tool that, in an intuitive and visual way, helps decision making in the efficient distribution of recharging points for electric vehicles in cities.
In May 2016, CDTI and CONCYTEC, through FONDECYT, invited to submit project proposals within the framework of the "Third Call / Call for Business Technology Collaboration Peru España 2016", which provides economic and financial support for joint activities Of international scientific and technological cooperation of Spanish and Peruvian companies and thus boost the economic development of: Peru and Spain. The proposed R & D & I project has been approved by the Peruvian and Spanish institutions.

With this project, it is intended to create a tool based on: algorithms, mobility parameters, typology of recharge points and electrical demand management systems, which serves to:
 Design a map with the most appropriate network of points of recharge,
 Facilitate planning in the adaptation and development of electricity distribution network and its management.

The aforementioned tool will allow an analysis of optimal points of the city where to install recharge stations, taking into account the activity and mobility of people in the city. This tool can be applied to:
 To facilitate accessibility between different charging stations
 To be able to detect alternative routes to locate recharge stations.
 Select the best place to add / remove a recharging station.
 Detect and predict points of interest (PooIs) in the city.
 Identify patterns of mobility.
The deadline for execution of this project is 24 months, starting in June 2017.

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