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A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants
In South Africa, nearly 80 % of electricity is generated from coal fired power plants. Due to the complexity of the interconnected systems that make up a typical power plant, analysis of the root causes of load losses is not a straightforward process. This often leads to losses incorrectly being asc...
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| Format: | Thesis |
| Language: | English |
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Department of Mechanical Engineering
2020
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| _version_ | 1867613182618501120 |
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| access_status_str | Open Access |
| author | Khobo, Rendani Yaw-Boateng Sean |
| author2 | Rousseau, Pieter |
| author_browse | Khobo, Rendani Yaw-Boateng Sean Rousseau, Pieter |
| author_facet | Rousseau, Pieter Khobo, Rendani Yaw-Boateng Sean |
| author_sort | Khobo, Rendani Yaw-Boateng Sean |
| collection | Thesis |
| description | In South Africa, nearly 80 % of electricity is generated from coal fired power plants. Due to the complexity of the interconnected systems that make up a typical power plant, analysis of the root causes of load losses is not a straightforward process. This often leads to losses incorrectly being ascribed to the Induced Draught (ID) fan, where detection occurs, while the problem actually originates elsewhere in the plant. The focus of this study was to develop and demonstrate a modelling methodology to quantify the effects of major plant anomalies on the capacity of ID fans in coal fired power plants. The ensuing model calculates the operating point of the ID fan that is a result of anomalies experienced elsewhere in the plant. This model can be applied in conjunction with performance test data as part of a root cause analysis procedure. The model has three main sections that are integrated to determine the ID fan operating point. The first section is a water/steam cycle model that was pre-configured in VirtualPlantTM. The steam plant model was verified via energy balance calculations and validated against original heat balance diagrams. The second is a draught group model developed using FlownexSETM. This onedimensional network is a simplification of the flue gas side of the five main draught group components, from the furnace inlet to the chimney exit, characterising only the aggregate heat transfer and pressure loss in the system. The designated ID fan model is based on the original fan performance curves. The third section is a Boiler Mass and Energy Balance (BMEB) specifically created for this purpose to: (1) translate the VirtualPlant results for the steam cycle into applicable boundary conditions for the Flownex draught group model; and (2) to calculate the fluid properties applicable to the draught group based on the coal characteristics and combustion process. The integrated modelling methodology was applied to a 600 MW class coal fired power plant to investigate the impact of six major anomalies that are typically encountered. These are: changes in coal quality; increased boiler flue gas exit temperatures; air ingress into the boiler; air heater inleakage to the flue gas stream; feed water heaters out-of-service; and condenser backpressure degradation. It was inter alia found that a low calorific value (CV) coal of 14 MJ/kg compared to a typical 17 MJ/kg reduced the fan's capacity by 2.1 %. Also, having both HP FWH out of service decreased the fan's capacity by 16.2 %. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/32244 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:05.102Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Department of Mechanical Engineering |
| publisherStr | Department of Mechanical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/32244 A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants Khobo, Rendani Yaw-Boateng Sean Rousseau, Pieter Gosai, Priyesh Engineering Induced Draft Fan Draught plant anomaly detection Fan Capacity Limitations In South Africa, nearly 80 % of electricity is generated from coal fired power plants. Due to the complexity of the interconnected systems that make up a typical power plant, analysis of the root causes of load losses is not a straightforward process. This often leads to losses incorrectly being ascribed to the Induced Draught (ID) fan, where detection occurs, while the problem actually originates elsewhere in the plant. The focus of this study was to develop and demonstrate a modelling methodology to quantify the effects of major plant anomalies on the capacity of ID fans in coal fired power plants. The ensuing model calculates the operating point of the ID fan that is a result of anomalies experienced elsewhere in the plant. This model can be applied in conjunction with performance test data as part of a root cause analysis procedure. The model has three main sections that are integrated to determine the ID fan operating point. The first section is a water/steam cycle model that was pre-configured in VirtualPlantTM. The steam plant model was verified via energy balance calculations and validated against original heat balance diagrams. The second is a draught group model developed using FlownexSETM. This onedimensional network is a simplification of the flue gas side of the five main draught group components, from the furnace inlet to the chimney exit, characterising only the aggregate heat transfer and pressure loss in the system. The designated ID fan model is based on the original fan performance curves. The third section is a Boiler Mass and Energy Balance (BMEB) specifically created for this purpose to: (1) translate the VirtualPlant results for the steam cycle into applicable boundary conditions for the Flownex draught group model; and (2) to calculate the fluid properties applicable to the draught group based on the coal characteristics and combustion process. The integrated modelling methodology was applied to a 600 MW class coal fired power plant to investigate the impact of six major anomalies that are typically encountered. These are: changes in coal quality; increased boiler flue gas exit temperatures; air ingress into the boiler; air heater inleakage to the flue gas stream; feed water heaters out-of-service; and condenser backpressure degradation. It was inter alia found that a low calorific value (CV) coal of 14 MJ/kg compared to a typical 17 MJ/kg reduced the fan's capacity by 2.1 %. Also, having both HP FWH out of service decreased the fan's capacity by 16.2 %. 2020-09-13T19:34:20Z 2020-09-13T19:34:20Z 2020 2020-09-13T19:34:02Z Master Thesis Masters MSc http://hdl.handle.net/11427/32244 eng application/pdf Department of Mechanical Engineering Faculty of Engineering and the Built Environment |
| spellingShingle | Engineering Induced Draft Fan Draught plant anomaly detection Fan Capacity Limitations Khobo, Rendani Yaw-Boateng Sean A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| thesis_degree_str | Master's |
| title | A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| title_full | A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| title_fullStr | A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| title_full_unstemmed | A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| title_short | A modelling methodology to quantify the impact of plant anomalies on ID fan capacity in coal fired power plants |
| title_sort | modelling methodology to quantify the impact of plant anomalies on id fan capacity in coal fired power plants |
| topic | Engineering Induced Draft Fan Draught plant anomaly detection Fan Capacity Limitations |
| url | http://hdl.handle.net/11427/32244 |
| work_keys_str_mv | AT khoborendaniyawboatengsean amodellingmethodologytoquantifytheimpactofplantanomaliesonidfancapacityincoalfiredpowerplants AT khoborendaniyawboatengsean modellingmethodologytoquantifytheimpactofplantanomaliesonidfancapacityincoalfiredpowerplants |