A Further Look into the Service Lifetime Cost of Solar Photovoltaic Energy Transformers

B. A. Thango, K. Moloi, J. A. Jordaan, A. F. Nnnach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In this day and age, there is a proliferate concern from all governments across the globe to barricade the environment from the greenhouse gases, which absorb infrared radiation. As a result, solar photovoltaic (PV) energy has been an expeditiously growing renewable energy source and will eventually undertake a prominent role in the global energy generation. The selection and purchasing of energy efficient transformers which meet the operational requirements of the solar photovoltaic energy generation plants then becomes a part of the Independent Power Producers (IPP's) investment plan of action. Taking these into account, this work proposes a novel procedure that put into effect the intricate financial analysis necessitated to precisely evaluate the transformer service lifetime no-load and load loss factors. This procedure correctly set forth the transformer service lifetime loss factors as a result of solar PV plant's sporadic generation profile and related levelized costs of electricity into the computation of the transformer's total ownership cost. The results are then critically compared with the conventional transformer total ownership cost (TCO), and demonstrate the significance of the sporadic energy generation nature of the solar PV plant on the total ownership cost. The findings indicate that the latter play a crucial role for developers and Independent Power Producers (IPP's) in making the purchase decision during a tender bid where competing offers from different transformer manufactures are evaluated. Additionally, the susceptibility analysis of different factors engrossed in the transformer service lifetime cost is carried out, factors including the levelized cost of electricity, solar PV plant's generation modes and the loading profile are examined.

Original languageEnglish
Title of host publication2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738112367
DOIs
Publication statusPublished - 27 Jan 2021
Externally publishedYes
Event2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2021 - Virtual, Potchefstroom, South Africa
Duration: 27 Jan 202129 Jan 2021

Publication series

Name2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2021

Conference

Conference2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2021
Country/TerritorySouth Africa
CityVirtual, Potchefstroom
Period27/01/2129/01/21

Keywords

  • Loss Factors
  • Solar Photovoltaic Plant
  • Total Ownership Cost
  • Transformer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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