High quality multicrystalline silicon grown by multi-stage solidification control method

Nara, Seiko; Sekiguchi, Takashi; Chen, Jun

doi:10.1051/epjap:2004063

Cited by 26 publications

(16 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High purity mc-Si ingot was grown by controlled casting method, so-called multi-stage solidification control (MUST) method [1]. To reduce the residual impurity in the as-grown mc-Si ingot, semiconductor grade Si feedstock was used.…”

Section: Methodsmentioning

confidence: 99%

Electrical and optical activities of small angle grain boundaries in multicrystalline Si

Sekiguchi

Chen

Lee

et al. 2011

Phys. Status Solidi (c)

View full text Add to dashboard Cite

We have characterized the electrical and optical activities of small grain boundaries (SA‐GBs) by using electron‐beam‐induced current (EBIC) and cathodoluminescence (CL). EBIC observation at room temperature indicates that the SA‐GBs are grouped into two categories. SA‐GBs with misorientation angle lower than 1° shows lower EBIC contrast like <10%, named as “general”. Those with 2‐3° have higher contrast more than 20%, named as “special”. At 100 K, all the SA‐GBs become visible and their contrast increases. On the other hand, CL observation at 15 K shows that general SA‐GBs show D3 and D4, while special ones show D1 and D2. We explained these properties of SA‐GBs in terms of dislocation model. General SA‐GBs are regarded as the ensemble of individual dislocations. Special SA‐GBs are composed of the densely aligned dislocations in which dislocation interaction takes place (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

show abstract

Section: Methodsmentioning

confidence: 99%

Electrical and optical activities of small angle grain boundaries in multicrystalline Si

Sekiguchi

Chen

Lee

et al. 2011

Phys. Status Solidi (c)

View full text Add to dashboard Cite

show abstract

“…10 Typical dimensions were 14 mm 9 5 mm 9 1 mm. EBSD measurements were performed to determine the orientation matrix g, defined as the position of the crystal coordinate system (C C ) with respect to the specimen coordinate system (C s ), i.e.,…”

Section: Methodsmentioning

confidence: 99%

Quantitative Photoelastic Characterization of Residual Strains in Grains of Multicrystalline Silicon

Fukuzawa

Yamada

Islam

et al. 2010

Journal of Elec Materi

View full text Add to dashboard Cite

The residual strain and its variation in multicrystalline Si substrates for solar cells have been quantitatively characterized. The strain was evaluated from the absolute difference of refractive indices |Dn| and the principal direction w of strain-induced birefringence measured by scanning infrared polariscope, and the effective photoelastic coefficients calculated numerically at each grain, the crystallographic orientation of which was determined by the electron backscatter diffraction technique. It has been shown that the residual strain increases at grains with multitwin boundaries and in the vicinity of smallangle grain boundaries, reaching the order of 10 À4 , corresponding to 10 MPa in terms of stress.

show abstract

“…Part of solar irradiance absorbed and transformed into electricity is evaluated by electrical variables V pv and i pv . A non-linear relationship links the current to the voltage according to equation (9) [26] [28] [29] :…”

Section: Photovoltaic Generator Modelmentioning

confidence: 99%

“…a serge.agbli@femto-st.fr ,b daniel.hissel@univ-fcomte.fr ,c marie-cecile.pera@univ-fcomte.fr ,d issadoum@yahoo.fr cell eciency [9]. Proton exchange polymers are the key components of the low temperature technology for fuel cell and electrolyser, new process are in development as the synthesis of solid polymer fuel cell by low pressure plasmas [10] [11].…”

Section: Introductionmentioning

confidence: 99%

EMR modelling of a hydrogen-based electrical energy storage

Agbli

Hissel

Péra

et al. 2011

Eur. Phys. J. Appl. Phys.

View full text Add to dashboard Cite

Résumé This paper deals with multi-physics modelling of the stationary system. This modelling is the rst step to reach the fuel cell system dimensioning aim pursued. Besides this modelling approach based on the stationary energetic system, the novelty in this paper is both the new approach of the photovoltaic EMR modelling and the EMR of the hydrogen storage process. The granular modelling approach is used to model each component of the system. Considering a stand alone PEM fuel cell system, hydrogen is expected to be produced and stored on the spot from renewable energy (photovoltaic) in order to satisfy the fuel availability. In fact, to develop a generic and modular model, Energetic Macroscopic Representation (EMR) is used as graphical modelling tool. Allowing to be easily grasped by the experts even not necessarily gotten used to the modelling formalism, EMR is helpful to model the multi-domains energetic chain. The solar energy through solar module is converted in electrical energy ; part of this energy is transformed in chemical energy (hydrogen) thanks to an electrolyser. Then the hydrogen is compressed into a tank across a storage system. The latter part of the solar module energy is stored as electrical energy within supercapacitor or lead-acid battery. Using the modularity feature of the EMR, the whole system is modelled entity by entity ; afterwards by putting them together the overall system has been reconstructed. According to the scale eect of the system entities, some simulation and/or experimental results are given. Given to the dierent aims which are pursued in the sustainable energy framework like prediction, control and optimisation, EMR modelling approach is a reliable option for the energy management in real time of energetic system in macroscopic point of view.

show abstract

High quality multicrystalline silicon grown by multi-stage solidification control method

Cited by 26 publications

References 9 publications

Electrical and optical activities of small angle grain boundaries in multicrystalline Si

Electrical and optical activities of small angle grain boundaries in multicrystalline Si

Quantitative Photoelastic Characterization of Residual Strains in Grains of Multicrystalline Silicon

EMR modelling of a hydrogen-based electrical energy storage

Contact Info

Product

Resources

About