Development of an innovative autonomous 2kW hybrid photovoltaic-wind-power supply pilot system for rural electrification

Información del proyecto

AREP

Identificador del acuerdo de subvención: JOU20361

Proyecto cerrado

Fecha de inicio 1 Enero 1994

Fecha de finalización 30 Junio 1996

Financiado con arreglo a

• Specific research and technological development programme (EEC) in the field of non-nuclear energy, 1990-1994

Coste total

Sin datos

Aportación de la UE

Sin datos

Coordinado por

Universität Karlsruhe (Technische Hochschule)
Germany

Objetivo

JOULE-II Contract: JOU2-CT93-0361 AREP
The objective for this project is the development of an innovative autonomous hybrid power supply system. The system will have the following features:
- self-adapting to different climates and users by an innovative, self-organizing Energy Management System;
- usable as a universal autonomous power supply system especially for rural electrification;
- totally driven by renewable energy;
- easy to handle even for non technicians;
- easy to enlarge or reduce even with new power sources such as hydro power; - comparable to conventional systems in reliability, maintenance, handling and costs;
- easy to transport.
These objectives will be reached by the adoption of completely new design ideas and technologies come in part from sources outside the renewable energy sector such as Artificial Intelligence.
The possibility of constructing a universal system which is capable of adapting to any external conditions such as climate and consumer behaviour, will make it possible to manufacture standardised units, therefore to reduce costs substantially.
The new Energy Managing System can be transfered to larger systems like buildings and in future to the common grid.


JOULE-II Contract JOU2-CT93-0361 DEVELOPMENT OF AN INNOVATIVE AUTONOMOUS 2 kW HYBRID PV-WIND POWER SUPPLY PILOT SYSTEM FOR RURAL ELECTRIFICATION (AREP) The aim is to develop a management system for hybrid power supply units capable of adapting itself automatically to different boundary conditions such as wind regimes, solar irradiation and consumer types through self-learning procedures. This will allow to use identical units for different application types which may be produced in large quantities and thus reduce engineering and manufacturing costs dramatically. The expected features will be obtained through the consistent integration of recent developments in the sector of Energy Management, power electronics and battery management and the results of the EEC project "Concerted actions on european PV pilot systems". The key innovations are: A) Decentralized Energy Management based on actual pricing and flexible reaction of energy producing components and consumers. The pricing procedure using neural networks is based on the prediction of solar radiation, windspeed and load profile as a self learning system.
B) Intelligent Battery Management by using newly developed battery single cell monitoring and controlling subsystems and by battery charge control using neural networks and fuzzy logics. A new method also based on neural networks will be used for the battery state of charge calculation which is the key figure for the Energy Management procedure.
C) Variable speed wind turbine with fully integrated power electronics and control. The combination of a direct drive generator and a solid state power converter including all control features allows to minimize the moving mechanical parts to only one : the rotor. This rotor is stall controlled and the speed control is performed by the integrated power electronics.

D) Integration of the system into a mobile structure which allows to operate at different sites under different conditions.

Ámbito científico (EuroSciVoc)

• ciencias sociales › economía y empresa › ciencia económica › microeconomía
• ciencias naturales › ciencias de la tierra y ciencias ambientales conexas › ciencias de la atmósfera › meteorología › radiación solar
• ingeniería y tecnología › ingeniería ambiental › energía y combustibles › energía renovable › energía eólica
• ciencias naturales › informática y ciencias de la información › inteligencia artificial › inteligencia computacional

Programa(s)

• FP3-JOULE 2 - Specific research and technological development programme (EEC) in the field of non-nuclear energy, 1990-1994

Tema(s)

• 0304 - Renewable energies for rural electricity, local fuel and water

Convocatoria de propuestas

Datos no disponibles

Régimen de financiación

CSC - Cost-sharing contracts

Coordinador

Universität Karlsruhe (Technische Hochschule)

• Aportación de la UE: Sin datos
• Dirección: 12,Kaiserstrasse ; 76128 Karlsruhe ; Alemania
• Coste total: Sin datos

Participantes (3)

CATELLA GENERICS AB

Suecia

• Aportación de la UE: Sin datos
• Dirección: 22,VeddestavSgen 7 ; 175 62 JAERFAELLA
• Coste total: Sin datos

ENERGY RESEARCH CENTRE OF THE NETHERLANDS

Países Bajos

• Aportación de la UE: Sin datos
• Dirección: Westerduinweg 3 ; PETTEN
• Coste total: Sin datos

Lamda Technical Ltd

Grecia

• Aportación de la UE: Sin datos
• Dirección: 4,Hadjiyianni Mexi Street ; 11528 Athens
• Coste total: Sin datos