Kok, Bastiaan J. (2023) Reliability Analysis and Optimal Maintenance Scheduling for Heat Assets in Energy System Modelling. Design Project, Industrial Engineering and Management.
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Abstract
In this work, a maintenance and reliability model is developed for the virtual heat assets in the digital twin of WarmteStad’s heat plant. The maintenance schedule of the assets is optimised using a maintenance optimisation algorithm that minimises the cost of maintenance and the cost of unexpected failures of the assets while imposing a lower bound on the reliability of the assets over a given time horizon. A unit commitment algorithm is developed to simulate the activation and deactivation of the heat assets based on the digital twin simulation data. The feature of modelling maintenance and random failures of the assets, and compensating for the production loss caused by downtime of the assets is included in the algorithm. Monte Carlo simulation is performed to quantify the availability of the assets and reliability of the entire heat plant. The performance of the maintenance optimisation model is assessed in terms of substandard heat supply hours that can potentially lead to a heat supply failure of WarmteStad’s heat plant. Results of the experiments showed that substandard heat supply occurs in 85 out of 10,000 simulated years; hence, a heat supply failure is unlikely to occur. The observed high reliability of the heat plant is explained by the fact that WarmteStad has built-in redundancy in the number of production assets in the heat plant and that the asset with the greatest thermal production capacity is highly reliable.
| Item Type: | Thesis (Design Project) |
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| Supervisor name: | Mohebbi, M. and Scherpen, J.M.A. and Machado Martinez, J.E. |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Design Project |
| Language: | English |
| Date Deposited: | 26 Jun 2023 08:48 |
| Last Modified: | 26 Jun 2023 08:48 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/30075 |
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