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Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management
Thesis (MEng)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613881506988032 |
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| access_status_str | Open Access |
| author | Moyo, Tsitsi |
| author2 | Matope, Stephen |
| author_browse | Matope, Stephen Moyo, Tsitsi |
| author_facet | Matope, Stephen Moyo, Tsitsi |
| author_sort | Moyo, Tsitsi |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/128776 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:43:11.727Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/128776 Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management Moyo, Tsitsi Matope, Stephen Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Industry 4.0; Asset Management; Power Generation Electric power production Industry 4.0 Renewable energy sources Asset management framework Thesis (MEng)--Stellenbosch University, 2023. ENGLISH ABSTRACT: Electricity is becoming more central to many parts of life in modern day societies as its role in organisational digitalisation and transportation expands through modern day technologies. This makes the power generation industry a critical field in both developing and developed economies as it has an enormous contribution not only to the quality of life for people both at work and home, but also to the Gross Domestic Product (GDP). Furthermore, with most companies digitalising their manufacturing or service delivery because of COVID-19, power generation systems reliability, and ultimately electricity availability and affordability, is crucial in many countries. The year 2022 fundamentally altered South Africa’s GDP amid its recovery from the impacts of COVID-19, because of record-high electrical power crisis. Asset management related challenges in power production systems have been a major cause for downtime and low productivity, leading to massive power cuts which in turn affect the ability of both manufacturing and service industries to contribute to the GDP. Tracking progress on how power generation assets perform during their service life is critical, to reduce cost of operating and maintaining them as they near the end of their useful life. The challenge facing the power generation industry today is how to redesign the ageing entire system while maintaining an affordable, resilient supply that is sustainable for the country’s economy. The industry has not been investing enough in power plants asset management over the years, a fact that left the power generation industry much more vulnerable to the sort of shocks seen in 2022 and increasingly in 2023. Ultimately, what is required is not just to diversify away from non-renewable sources, but to change the way the already existing power generation plants are managed, and to do so while maintaining the affordable, secure provision of electricity. This study explores Industry 4.0 technologies that are critical in power generation asset management, both in the short and long-term. To carry out the research, the Design Science Research Methodology (DSRM) was implemented. Data collected from published articles and expert opinion interviews was used for theoretical framework formulation and conceptual framework development. Expert opinion interviews with potential users were used for framework evaluation and validation. The developed data-driven asset management 4.0 framework integrates machine learning, augmented reality, Internet of Things, cloud computing and modelling/simulation to provide insights into operation performance, equipment health, failure prediction and optimised asset maintenance. AFRIKAANSE OPSOMMING: Elektrisiteit word al hoe belangriker op vele lewensterreine namate moderne, kragaangedrewe tegnologieë ’n toenemende rol in organisatoriese digitalisering en vervoer vervul. As ’n enorme bydraer tot mense se lewensgehalte tuis en by die werk én tot bruto binnelandse produk (BBP), is die kragopwekkingsbedryf deurslaggewend in sowel ontwikkelende as ontwikkelde ekonomieë. Noudat die meeste maatskappye boonop as gevolg van Covid-19 hulle vervaardiging of dienslewering digitaliseer, is die betroubaarheid van kragopwekkingstelsels, en uiteindelik die beskikbaarheid en bekostigbaarheid van elektrisiteit, in baie lande onder die vergrootglas. BBP in Suid-Afrika het in 2022 ’n enorme knou gekry omdat die land, te midde van sy herstel van die impak van Covid-19, ’n elektrisiteitskrisis van ongekende omvang beleef. Batebestuursverwante uitdagings in kragproduksiestelsels is ’n groot oorsaak van staantyd en lae produktiwiteit, wat tot massiewe kragonderbrekings lei, wat op sy beurt vervaardigings- en diensbedrywe se vermoë om tot BBP by te dra verswak. Om die werkverrigting van kragopwekkingsbates gedurende hulle dienslewe te moniteer is van die allergrootste belang om die bedryfs- en instandhoudingskoste van verouderende bates te verlaag. Die uitdaging vir die kragopwekkingsbedryf is om die verouderende stelsel in die geheel te herontwerp, en terselfdertyd aan te hou met bekostigbare, veerkragtige kragvoorsiening wat volhoubaar is vir die land se ekonomie. Jare lange onvoldoende belegging in kragaanlegbatebestuur maak die opwekkingsbedryf nou veel kwesbaarder vir skokgebeure soos dié van 2022 en toenemend ook 2023. Uiteindelik, is dit nie net nodig om afhanklikheid van niehernubare bronne te verminder nie, maar ook om die bestaande kragopwekkingsaanlegte anders te bestuur, en daarmee saam die bekostigbare, betroubare voorsiening van elektrisiteit te handhaaf. Hierdie studie ondersoek I4.0-tegnologieë wat op sowel kort as lang termyn belangrik is vir kragopwekkingsbatebestuur. Die ontwerpwetenskapmetodologie (DSRM) is vir die navorsing gebruik. ’n Teoretiese en konseptuele raamwerk is op grond van data uit gepubliseerde artikels en onderhoude met deskundiges ontwikkel. Die raamwerk is deur middel van onderhoude met moontlike gebruikers geëvalueer en gestaaf. Die gevolglike datagedrewe 4.0-batebestuursraamwerk integreer masjienleer, aangevulde realiteit, die Internet van Dinge, wolkrekenaarkunde en modellering/simulasie om insig te bied in die werkverrigting en toestand van toerusting, die voorspelling van onklaarraking, en optimale bate-instandhouding. Masters 2023-08-16T18:00:00Z 2024-01-08T10:45:22Z 2023-08-16T18:00:00Z 2024-01-08T10:45:22Z 2023-08 Thesis https://scholar.sun.ac.za/handle/10019.1/128776 en_ZA en_ZA Stellenbosch University xii, 163 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Industry 4.0; Asset Management; Power Generation Electric power production Industry 4.0 Renewable energy sources Asset management framework Moyo, Tsitsi Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title | Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title_full | Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title_fullStr | Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title_full_unstemmed | Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title_short | Framework for implementation of industry 4.0 tools and technologies in electrical power generation asset management |
| title_sort | framework for implementation of industry 4 0 tools and technologies in electrical power generation asset management |
| topic | Industry 4.0; Asset Management; Power Generation Electric power production Industry 4.0 Renewable energy sources Asset management framework |
| url | https://scholar.sun.ac.za/handle/10019.1/128776 |
| work_keys_str_mv | AT moyotsitsi frameworkforimplementationofindustry40toolsandtechnologiesinelectricalpowergenerationassetmanagement |