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IoT characterisation and emulation system for electric water heaters
Fortuin, L. 2025. IoT Characterisation and Emulation system for Electric Water Heaters. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/5daf430e-7c7a-4434-af3c-623941d8602d
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| Format: | Thesis |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867613897060515840 |
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| access_status_str | Open Access |
| author | Fortuin, Liza |
| author2 | Booysen, M. J. |
| author_browse | Booysen, M. J. Fortuin, Liza |
| author_facet | Booysen, M. J. Fortuin, Liza |
| author_sort | Fortuin, Liza |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Fortuin, L. 2025. IoT Characterisation and Emulation system for
Electric Water Heaters. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/5daf430e-7c7a-4434-af3c-623941d8602d |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/132368 |
| institution | Stellenbosch University (South Africa) |
| last_indexed | 2026-06-10T12:43:26.328Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/132368 IoT characterisation and emulation system for electric water heaters Fortuin, Liza Booysen, M. J. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Electric water heaters -- Energy consumption -- South Africa Internet of things -- Simulation methods -- South Africa Smart power grids -- South Africa Renewable energy sources -- South Africa UCTD Fortuin, L. 2025. IoT Characterisation and Emulation system for Electric Water Heaters. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/5daf430e-7c7a-4434-af3c-623941d8602d Thesis (MEng)--Stellenbosch University, 2025. ENGLISH ABSTRACT: The global focus on energy-saving means is driven by both environmental concerns, and the economic benefits of reducing energy consumption. South Africa, facing its own energy crisis since 2007, has been under pressure to manage the increasing electricity demand, which exceeds Eskom’s power supply capacity. This crisis is combined with the country’s reliance on coal, a significant contributor to global greenhouse gas emissions. The South African residential sector accounts for a large portion of electricity usage during peak demand times, with electric water heaters (EWHs) also consuming a large portion of a South African household’s energy. EWHs, particularly in South African households, are energy-intensive appliances that are prone to significant losses, making them suitable for energy management improvements. Maximising the energy efficiency of EWHs while maintaining user satisfaction requires a thorough understanding of their energy usage and thermal behavior. However, the absence of sufficient data collection tools hinders the optimisation. Collecting data on the power consumption and thermal stratification, under controlled conditions, will offer the insights needed to improve efficiency, reduce household energy consumption, and alleviate pressure on the electric grid. This thesis is aimed at developing an IoT solution that is able to characterise an EWH. This will be achieved by gathering the data required to fully understand and maximise the energy efficiency of an EWH. Once the solution has been developed, it is tested, to ensure it is capable of gathering all the data that is needed. The study successfully developed the IoT solution that is able to characterise an EWH. Results show all the data that was captured by the system, which shows the functionality of the final system. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2025-06-05T07:43:25Z 2025-06-05T07:43:25Z 2025-03 Thesis https://scholar.sun.ac.za/handle/10019.1/132368 Stellenbosch University viii, 88 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Electric water heaters -- Energy consumption -- South Africa Internet of things -- Simulation methods -- South Africa Smart power grids -- South Africa Renewable energy sources -- South Africa UCTD Fortuin, Liza IoT characterisation and emulation system for electric water heaters |
| title | IoT characterisation and emulation system for electric water heaters |
| title_full | IoT characterisation and emulation system for electric water heaters |
| title_fullStr | IoT characterisation and emulation system for electric water heaters |
| title_full_unstemmed | IoT characterisation and emulation system for electric water heaters |
| title_short | IoT characterisation and emulation system for electric water heaters |
| title_sort | iot characterisation and emulation system for electric water heaters |
| topic | Electric water heaters -- Energy consumption -- South Africa Internet of things -- Simulation methods -- South Africa Smart power grids -- South Africa Renewable energy sources -- South Africa UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/132368 |
| work_keys_str_mv | AT fortuinliza iotcharacterisationandemulationsystemforelectricwaterheaters |