Abstract
Dye sensitized solar cells (DSCs) provide a potential alternative to conventional p-n junction photovoltaic devices. The semiconductor thin film plays a crucial role in the working of DSC. This paper aims at formulating a process for the selection of optimum semiconductor material for nanostructured thin film using multiple attribute decision making (MADM) approach. Various possible available semiconducting materials and their properties like band gap, cost, mobility, rate of electron injection, and static dielectric constant are considered and MADM technique is applied to select the best suited material. It was found that, out of all possible candidates, titanium dioxide (TiO2) is the best semiconductor material for application in DSC. It was observed that the proposed results are in good agreement with the experimental findings.
Highlights
Rapid depletion of conventional resources is a major source of concern for the world today
Varieties of methods are developed based upon multiple attribute decision making (MADM) approach such as technique for order preference by similarity to ideal solution (TOPSIS) [7,8,9], VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [10,11,12,13], Elimination Et Choix Traduisant la REalite (ELECTRE), [14,15,16], Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) [17], complex proportional assessment (COPRAS) [18, 19] and COPRAS-G [20], graph theory and matrix approach [21], preference selection index (PSI) method [22], and linear assignment method [23]
Incident photon to current conversion efficiency (IPCE) is the most important factor which depends on light harvesting efficiency (LHE) of sensitizing dye molecules, charge injection efficiency at dye-semiconductor interface, and charge transport efficiency in nanostructured film
Summary
Rapid depletion of conventional resources is a major source of concern for the world today. Varieties of methods are developed based upon MADM approach such as technique for order preference by similarity to ideal solution (TOPSIS) [7,8,9], VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [10,11,12,13], Elimination Et Choix Traduisant la REalite (ELECTRE), [14,15,16], Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) [17], complex proportional assessment (COPRAS) [18, 19] and COPRAS-G [20], graph theory and matrix approach [21], preference selection index (PSI) method [22], and linear assignment method [23] These types of methods have earlier been reported in the field of thin film solar cells (to find the best suited material for the active layer), polymer fuel cells, and other solar energy materials [24, 25]. The core performance parameters for a semiconductor material in DSC are band gap, cost, electron injection rate, mobility, and static dielectric constant
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