HICONPVProject ID: 502626
High Concentration PV Power System (HICONPV)
Total cost:EUR 4 899 616
EU contribution:EUR 2 699 924
Call for proposal:FP6-2002-ENERGY-1See other projects for this call
Funding scheme:STREP - Specific Targeted Research Project
The project aim is to develop, set up and test a new cost-effective high concentration PV system with a concentration of 1000. The cost goal for the proposed type of system is 1 ?/Wp until 2015. The most challenging task will be the development of a high-efficient Ill-V-receiver with a module area of about 100 cm². Such a large Compact Concentrator Module (CCM) with a power of about 2 kWp has not been designed before. The CCM will consist of several Monolithic Integrated Modules (MIM), each with an area of some cm2. Whereas Silicon solar cells are restricted to a concentration of less than 500x and to a efficiency of about 20%, solar cells based on Ill-V-technology can reach much higher efficiencies and allow very high concentration ratios.
Due to the modularity of the MIM-CCM-concept, systems based on this technology may range between 2 kW and several MW. In this project it will be applied to different concentrator technologies. Firstly, proven cost-efficient solar thermal power plant concentrators - such as parabolic dishes or power towers - will be reviewed, their flux distribution, optical accuracy and reliability analysed and adapted for high-concentration PV. Secondly, a new concentrator will be designed with an aperture area of a few m², tailored to specifications such as homogeneous solar flux distribution.
System efficiency of the prototype modules will be determined under solar operation in Germany, Spain and Israel. Standards and methodology for measuring the efficiency of the PV modules at high solar flux density will be prepared. It will be developed a system-integrated inverter optimised for the requirements of the system. An adequate cooling system will be developed for the module.
With the test results, parameters will be defined and performance simulation will be carried out in order to predict the success of a larger system. Costs and resources will be analysed and a roadmap for technology implementation will be presented.