TY  - CONF
TI  - Study on Premature Failure of PV Systems in Malaysia using FMEA and Integrated ISM Approaches
ID  - scholars9769
KW  - Photovoltaic cells; Solar concentrators; Solar power generation
KW  -  Driving forces; Literature survey; Operation and maintenance; Premature failures; Renewable energies; Risk Priority Number; Solar photovoltaic system; Stand -alone
KW  -  Maintenance
N1  - cited By 3; Conference of 2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 ; Conference Date: 18 September 2018 Through 19 September 2018; Conference Code:141921
N2  - Solar photovoltaic (PV) systems has the potential of supplying infinite electricity from renewable energy to rural areas around Malaysia. Various preterm failures happening frequently on the system lead to its drop in efficiency and breakdown. Lack of studies on the system in Malaysia hinders the development in terms of operation and maintenance. There is no proper documentation relevant to the premature failure of the system in Malaysia. The main objective of this project is to study the nature of premature failure of stand-alone solar photovoltaic system in Malaysia in order to improve the operation and maintenance of the system. The present study would provide reference for proper planning on operation and maintenance of the PV system. The study was conducted base on expert's input and extensive literature survey. FMEA method and ISM approach are applied to analyze the data collected. Poor cooling system have the highest risk priority number. Poor workmanship is the least depending factor for premature failure to happen thus requires most attention. Highest driving force of premature failure is poor monitoring and maintenance. More focus should be given to these premature failure during the planning for operation and maintenance due to its severity and impact. © 2018 The Authors, published by EDP Sciences.
AV  - none
VL  - 225
A1  - Han, T.D.
A1  - Razif, M.R.M.
A1  - Sulaiman, S.A.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056778108&doi=10.1051%2fmatecconf%2f201822504004&partnerID=40&md5=89a89f8fde09ea6f033a2fc6e8f042b8
PB  - EDP Sciences
SN  - 2261236X
Y1  - 2018///
ER  -