MARC details
| 000 -LEADER |
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| fixed length control field |
04509ntm a2200385 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125110738.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230516t20222022my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0009623 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKMA .A35 2022 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Ajith Gopi, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Performance modelling and analysis of a utility scale solar photovoltaic power plant in a tropical region / |
| Statement of responsibility, etc. |
Ajith Gopi |
| 246 #4 - VARYING FORM OF TITLE |
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| Title proper/short title |
Performance modeling and analysis of a utility scale solar photovoltaic power plant in a tropical region |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMP, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2022 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 149 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
computer |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
computer disc |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Mechanical and Automotive Engineering Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2022 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Solar photovoltaics has emerged as the major renewable energy technology for generating power. Tropical regions are the hotspots for utility-scale PV power plants and are highly influenced by the prevailing weather parameters like solar radiation, temperature variations, wind speed, humidity, atmospheric pressure, etc. The performance assessment of PV plants is influenced by the quality of data and the accuracy of instrumentation. The normal performance ratio (PR) metric has limitations when used for performance assessments of utility-scale PV plants. The influence of weather on the performance and the associated advanced prediction models are rarely studied in operational plants. Literature provides only limited examples of economic and environmental analysis of utility PV plants installed in tropical regions. The objective of this research includes the performance analysis of utility-scale PV power plants installed in tropical regions utilizing advanced weather station data, modeling the performance based on important weather parameters and economic & environmental assessment based on long-term measured data. The performance assessment of the solar farm is carried out based on IEC 61724 standards and on a normal performance ratio. Further, the weather corrected performance ratio is estimated by incorporating the local weather characteristics of the site. Performance modeling is accomplished using Minitab and AI tools like Response Surface methodology (RSM), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). Economic and Environmental aspects are assessed utilizing the RETScreen software platform. The energy analysis of a utility scale PV power plant revealed that the southwest monsoon (SWM) season prevailing in a tropical humid region has a substantial influence on the generation pattern of the plant resulting in a 36% drop in annual energy generation. The solar PV plant’s average performance ratio (PR) is 74.45 %, with a 15.55 % capacity utilization factor (CUF) and an average daily generation of 2728.215 kWh over the study period (2017-2020). A comparative study of normal PR and weather-corrected PR revealed less variation on tropical regions for the studied plant compared to the colder regions. A unique performance model has been developed for predicting the generation for different weather seasons. Global tilted irradiation-based soar energy prediction model is also formulated with less than 4 % error. Among the AI-based models, the ANFIS model is observed to be more efficient for performance prediction. The analyzed solar farm installed in the tropical region has an annual life cycle savings of 35,312 USD/Yr. The environmental analysis revealed the capability of solar plants in mitigating 2827 tonnes of carbon per year. The outcome of this research work will contribute to the performance assessment and benchmarking of utility-scale PV power plants installed worldwide. It will also directly benefit the policymakers, consultants, utilities agencies, and developers. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Mechanical and Automotive Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |