A Wet-Stock Management and Leak Detection System for Fuel Tanks
One of the critical problems in wet-stock management is inaccurate (poor) tank calibration that masks the leakages from the underground storage tanks (USTs). Moreover, obtaining the correct tank parameters or re-calibration is an expensive procedure if not impossible. This study aims to prevent the...
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| Format: | Article |
| Language: | English |
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Çanakkale Onsekiz Mart University
2020-12-01
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| Series: | Journal of Advanced Research in Natural and Applied Sciences |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/1462730 |
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| author | Ayşe Nur Dalman Murat Oluş Özbek |
| author_facet | Ayşe Nur Dalman Murat Oluş Özbek |
| author_sort | Ayşe Nur Dalman |
| collection | DOAJ |
| description | One of the critical problems in wet-stock management is inaccurate (poor) tank calibration that masks the leakages from the underground storage tanks (USTs). Moreover, obtaining the correct tank parameters or re-calibration is an expensive procedure if not impossible. This study aims to prevent the masking effect of several tank parameters on the tank calibration chart and to improve the leak detection and wet-stock management for fuel storage tanks. This goal is achieved through obtaining the mathematical models for simple cylindrical tank that convert the measured liquid height to accurate liquid volume by taking into account the tank deformations. The accounted defor-mations in tank parameters are errors in radius, length, probe offset and axial and radial tank tilts, as well as volume change with temperature. The simulations using the actual data gathered from a commercial fuel service station showed that the approach developed in this study is valid. The deformation included tank models successfully pre-dicted the real fuel volumes. The results showed that the variance reduced from -300 L – +100 L range to -20 L – +20 L range for, which brings 67.2% improvement over the cumulative variance. This study also shows that obtaining the precise volume measurements by introducing models that account for the deformations in the UST is possible. |
| format | Article |
| id | doaj-art-619f3f3aa7a646eab4b1223637d563d3 |
| institution | Kabale University |
| issn | 2757-5195 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | Çanakkale Onsekiz Mart University |
| record_format | Article |
| series | Journal of Advanced Research in Natural and Applied Sciences |
| spelling | doaj-art-619f3f3aa7a646eab4b1223637d563d32025-02-05T17:58:10ZengÇanakkale Onsekiz Mart UniversityJournal of Advanced Research in Natural and Applied Sciences2757-51952020-12-016230331610.28979/jarnas.845193453A Wet-Stock Management and Leak Detection System for Fuel TanksAyşe Nur Dalman0https://orcid.org/0000-0001-6929-2329Murat Oluş Özbek1https://orcid.org/0000-0001-5188-6807YEDITEPE UNIVERSITYYEDİTEPE ÜNİVERSİTESİOne of the critical problems in wet-stock management is inaccurate (poor) tank calibration that masks the leakages from the underground storage tanks (USTs). Moreover, obtaining the correct tank parameters or re-calibration is an expensive procedure if not impossible. This study aims to prevent the masking effect of several tank parameters on the tank calibration chart and to improve the leak detection and wet-stock management for fuel storage tanks. This goal is achieved through obtaining the mathematical models for simple cylindrical tank that convert the measured liquid height to accurate liquid volume by taking into account the tank deformations. The accounted defor-mations in tank parameters are errors in radius, length, probe offset and axial and radial tank tilts, as well as volume change with temperature. The simulations using the actual data gathered from a commercial fuel service station showed that the approach developed in this study is valid. The deformation included tank models successfully pre-dicted the real fuel volumes. The results showed that the variance reduced from -300 L – +100 L range to -20 L – +20 L range for, which brings 67.2% improvement over the cumulative variance. This study also shows that obtaining the precise volume measurements by introducing models that account for the deformations in the UST is possible.https://dergipark.org.tr/en/download/article-file/1462730fuel stationfuel tank calibrationwet-stock managementustleak detectionyakıt istasyonutank kalibrasyonuakaryakıt stok yönetimiyatsızıntı tespiti |
| spellingShingle | Ayşe Nur Dalman Murat Oluş Özbek A Wet-Stock Management and Leak Detection System for Fuel Tanks Journal of Advanced Research in Natural and Applied Sciences fuel station fuel tank calibration wet-stock management ust leak detection yakıt istasyonu tank kalibrasyonu akaryakıt stok yönetimi yat sızıntı tespiti |
| title | A Wet-Stock Management and Leak Detection System for Fuel Tanks |
| title_full | A Wet-Stock Management and Leak Detection System for Fuel Tanks |
| title_fullStr | A Wet-Stock Management and Leak Detection System for Fuel Tanks |
| title_full_unstemmed | A Wet-Stock Management and Leak Detection System for Fuel Tanks |
| title_short | A Wet-Stock Management and Leak Detection System for Fuel Tanks |
| title_sort | wet stock management and leak detection system for fuel tanks |
| topic | fuel station fuel tank calibration wet-stock management ust leak detection yakıt istasyonu tank kalibrasyonu akaryakıt stok yönetimi yat sızıntı tespiti |
| url | https://dergipark.org.tr/en/download/article-file/1462730 |
| work_keys_str_mv | AT aysenurdalman awetstockmanagementandleakdetectionsystemforfueltanks AT muratolusozbek awetstockmanagementandleakdetectionsystemforfueltanks AT aysenurdalman wetstockmanagementandleakdetectionsystemforfueltanks AT muratolusozbek wetstockmanagementandleakdetectionsystemforfueltanks |