Scientific and economic comparison of outdoor characterisation methods for photovoltaic power plants

RENEWABLE ENERGY

卷:134

Article

Muehleisen, W.¹  Hirschl, C.¹  Brantegger, G.¹  Neumaier, L.¹  Spielberger, M.²  Sonnleitner, H.³  Kubicek, B.⁴  Ujvari, G.⁴  Ebner, R.⁴  Schwark, M.⁴  Eder, G. C.⁵  Voronko, Y.⁵  Knoebl, K.⁶  Stoicescu, L.⁷ 

[1] CTR Carinthian Tech Res AG, Europastr 12, A-9524 Villach, St Magdalen, Austria

[2] PVSV eU, Unterer Markt 7, A-9334 Guttaring, Austria

[3] ENcome Energy Performance GmbH, Lakeside B08, A-9020 Klagenfurt, Austria

[4] AIT Austrian Inst Technol, Giefinggasse 2, A-1020 Vienna, Austria

[5] OFI Osterreich Forschungsinst Chem & Tech, Arsenal Objekt 213,Franz Grill Str 5, A-1030 Vienna, Austria

[6] Fachhsch Technikum Wien, Hochstadtpl 6, A-1200 Vienna, Austria

[7] Solarzentrum Stuttgart GmbH, Rotebuhlstr 145, D-70197 Stuttgart, Germany

关键词: Photovoltaics;    Performance loss;    PV module failures;    Inspection methods;    Operation and maintenance;   

DOI  :  10.1016/j.renene.2018.11.044

来源: Elsevier

【 摘 要 】

Over the last years, the development of innovative, fast and non-destructive characterisation techniques for the detection of PV-module failures and advanced analysis of yield losses in photovoltaic power plants has become a key challenge in scientific research. Besides standard on-site thermographic screening, several novel and easily applied methods were developed and successfully tested. They differ mainly in their possible field of application, their applicability in the detection of different failure types and their cost of setup and operation. In order to evaluate the boundary conditions of application for the various methods, different defective PV-modules were comparatively investigated with commercially available and innovative outdoor analysis methods. The results were evaluated with regard to error detection rate and economics. Based on this comparison, efficient operation and maintenance (O&M) measures for early and general failure detection within large power plants can be deducted. (C) 2018 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free