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Effectiveness of the performance and reliability optimisation model in electricity generation

机译:性能和可靠性优化模型在发电中的有效性

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摘要

Since 2008 the electricity supply in South Africa has at times been unable to fulfil in the growing demand for electricity. Various initiatives were launched to alleviate this situation by increasing the capacity or reducing the demand. One of these initiatives was the introduction of a performance and reliability optimisation (PRO) model at 13 fossil power stations in South Africa. A research project was conducted to determine the effectiveness of the PRO model and to determine whether it was successful in improving plant availability and in reducing energy losses. The expectation was that the PRO model would also increase plant performance through increased preventive maintenance compliance. This paper discusses an analysis of maintenance history from the SAP information system reports and other performance data at the power stations as well as a survey from 70 respondents. The investigation indicated that the plant performance did not improve significantly after implementation of the PRO model although there was a significant improvement in preventive maintenance and schedule compliance. A number of factors that contribute towards poor plant performance were also identified and ranked. The survey indicated that the age of the plant, lack of discipline and production pressure were major contributors.
机译:自2008年以来,南非的电力供应有时无法满足不断增长的电力需求。通过增加容量或减少需求,采取了各种措施来缓解这种情况。这些举措之一是在南非的13个化石发电站引入了性能和可靠性优化(PRO)模型。进行了一个研究项目,以确定PRO模型的有效性,并确定它在提高工厂利用率和减少能源损失方面是否成功。期望的是,PRO模型还将通过提高预防性维护合规性来提高工厂绩效。本文讨论了来自SAP信息系统报告和电厂其他性能数据的维护历史分析,以及来自70位受访者的调查。调查表明,尽管在预防性维护和进度合规性方面有显着改善,但在实施PRO模型后,工厂的性能并未显着改善。还确定了许多导致工厂性能不佳的因素并对其进行了排名。调查表明,工厂的年龄,缺乏纪律和生产压力是主要原因。

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