Manufacturing, Photonics
The main objective of SHINE PV is to develop alternative technological routes to mainstream advanced photovoltaic (PV) production at lower costs and create opportunities for the differentiation of EU manufacturers (cells, modules, equipment and materials) to enhance their competitiveness on the global PV market.
The expectation of the project is to integrate SHINE PV process steps and enable an increase of solar cell efficiency of 0.5% absolute versus the reference process (as combination of efficiency increase from metallization, post processing and interconnection) with a simultaneous CoO reduction of 4% to 10%, depending on the different technologies adopted, due to reduced material costs and increased equipment productivity.
SHINE PV will develop alternative technological routes for two solar cell designs: Heterojunction (SHJ) and Tunnel Oxide Passivared Contact (TOPCon) solar cells, covering the three key steps in the back-end manufacturing: metallization, post-processing and interconnection. SHINE PV will identify synergies and differences between the two cell technologies, demonstrate different flows and down-select the most promising ones in terms of cost of ownership and high-volume manufacturing readiness.
The expectation of the project is to integrate SHINE PV process steps for metallization, post-processing and interconnection and enable an increase of SHJ/TOPCon solar cell efficiency of 0.5% absolute (module power increase of 2%) versus the reference process (screen printed metallization and MBB) with a total Cost of Ownership (CoO) reduction ranging from 4% to 10%, depending on technology choice, equipment productivity and materials costs.
SHINE PV project will demonstrate the integrated innovative processes and novel equipment both virtually and within physical pilots at industrial partners at TRL7.
SHINE PV aims to:
EnginSoft leads WP5: Process Integration, demonstration and evaluation, which scope is to create simulation models of the integrated SHJ and TOPCon process to provide realistic representations of the manufacturing process flows and to virtually optimise and validate their performance.
Manufacturing digital models will be developed and applied to demonstrate the manufacturing equipment and integrated production chains, including all the available processes and equipment alternatives and further exploring their scope.
APPLIED MATERIALS IRELAND – APPLIED MATERIAL ITALIA – COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES – FRAUNHOFER GESELLESCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHU – HIGHLINE TECHNOLOGY GMBH – INTERUNIVERSITAIR MICRO-ELECTRONICA CEMTRUM, ARKEMA FRANCE SA, POLYMER COMPETENCE CENTER LOBEN GMBH, IPTE AUTOMATION OU, SOLTECH, HOLOSOLIS SAS, UNIVERZA V LJUBLJANI, PI PHOTOVOLTAIK-INSTITUT BERLIN AG, NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK O, AMIRES THE BUSINESS INNOVATION MANAGEMENT INSTITUTE ZU, BEDIMENSIONAL SPA
Funding Scheme Horizon Europe | Call identifier HORIZON-CL5-2024-D3-01-01, Grant Agreement No 101172902
Some of our competences in research and technology transfer
Research project
RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change.
Research project
The ISAF – Integrated Smart Assembly Factory – project was created to address the problem of joining two or more large parts/structures made of composite materials and therefore affected by the natural variability of the manufacturing process. The variability creates empty space (“gap”) between the parts of the joint .
Research project
RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change.
