Estimate of scale thickness for iron pipes in geothermal power generation using acoustic emission sensor

• Autorzy: Yuji Toshifumi , Kinoshita Hiroyuk , Bouno Toshio , Thungsuk Nuttee , Tati Sunun , Tanaram Thaweesak , Mungkung Narong

Identyfikatory

DOI

10.15199/48.2020.09.28

Warianty tytułu

PL

Metoda określania grubości rury stosowanej w geotermalnych źródłach energii bazująca pomiarze emisji akustycznej

• Języki publikacji: EN

Abstrakty

EN

Currently, geothermal power generation is attracting attention in Japan as the next renewable energy source. However, tapping of this energy requires substantial equipment and entails enormous maintenance costs for this equipment. In particular, in the steel pipes connected to steam wells in geothermal power generation stations, when water vapor is collected from steam wells, the hot spring component known as yunohana (mineral encrustations left by hot springs) precipitates and forms into scale and adheres to the steel pipes. This causes clogging and deterioration of pipes by metal corrosion due to the sulfur content, which requires periodic maintenance and other measures to be taken for most equipment. Consequently, a remaining life assessment technique for maximizing the life of steel pipes connected to geothermal power generation steam wells is required as a continual improvement measure for enabling stable usage of equipment over a long period of time. As a non-destructive test, we used ultrasonic sensors to measure the ultrasonic waves generated from changes in the water flow due to changes in the thickness of the scale adhering to the inside of the pipes and the ultrasonic waves propagated from the change locations of the metal surface, and this enabled us to confirm the buildup of scale using an acoustic emission (AE) sensor for successfully assessing the remaining life.

PL

W artykule omówiono wykorzystanie wód geotermalnych jako odnawialnego źródła energii. Głównym problemem the metody jest zużywanie się stalowych rur doprowadzających pare I gorącą wodę. W artykule opisano wykorzystanie czujników ultradźwiękowych do analizy emisji akustycznej I w ten sposób do badania stanu rurociągu.

Słowa kluczowe

EN

acoustic emission sensor; geothermal generation; maharanobis distance; scale; fast fourier transform method

PL

geotermalne źródła energii elektrycznej; czujnik ultradźwiękowy; emisja akustyczna

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 9
• Strony: 133--137
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Yuji Toshifumi

• Faculty of Education, University of Miyazaki, 1-1, Gakuenkibanadai-nishi, Miyazaki, 889192, Japan

autor

Kinoshita Hiroyuk

• Faculty of Education, University of Miyazaki, 1-1, Gakuenkibanadai-nishi, Miyazaki, 889192, Japan

autor

Bouno Toshio

• National Institute of Technology, Sasebo College, 1-1, Okishinmachi, Sasebo-city, Nagasaki, 8571193, Japan

autor

Thungsuk Nuttee

• Department of Electrical Engineering, Dhonburi Rajabhat University Samut-Prakan, 59/1 Moo 14 Bang Pla, Bang Phi, Samut-Prakan, 10540, Thailand

autor

Tati Sunun

• Pibulsongkram Rajabhat University, 156 Moo 5, Tambon Phlaichumphon Muang District, Phitsanulok, 65000, Thailand

autor

Tanaram Thaweesak

• Pibulsongkram Rajabhat University, 156 Moo 5, Tambon Phlaichumphon Muang District, Phitsanulok, 65000, Thailand

autor

Mungkung Narong

• King Mongkut's University of Technology Thonburi, 126 Pracha Uthit Rd, Bang Mot, Thung Khru, Bangkok, 10140, Thailand

Bibliografia

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• [2] Jeffrey B. K. and Unesaki H., "Japan’s 2014 Strategic Energy Plan: A Planned Energy System Transition", Journal of Energy, 2017 (2017), Article ID 4107614.
• [3] Williamson K.H., Gunderson R.P., Hamblin G. M., Gallup D. L. and Kitz K., Johnson B., Pike G.E., "Geothermal Power Technology", Proceedings of the IEEE, 89 (2001), 1783-1792.
• [4] DiPippo R., Geothermal Power Plants: Evolution and Performance Assessments, Geothermics, 53 (2015), 291-307.
• [5] Ehara S., "Toward the Quantitative Study of Hydrothermal Systems", J. Hot Spring Sci., 60 (2002), 261-271 in Japanese.
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• [11] Yuji T., Kiyota Y., Bouno T. and, Toya H., "Estimate of Scale Thickness in Iron Pipes Using Acoustic Emission Sensor", J. IEIE Jpn., 33 (2013), No.2, 146-147 in Japanese.
• [12] Ouali C., Dumouchel P. and Gupta V., "Efficient spectrogram based binary image feature for audio copy detection", in 2015 IEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP), (2015), 1792-1796.
• [13] Tati S., Kijsanayothin P. and Kongdenfha W., 2018, "Song Clustering Using Similarity of Audio Fingerprint”, TNI Journal of Engineering and Technology, 6 (2018) No 1: January-June, 49-55.
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• [16] Delgado-Arredondo P.A., Morinigo-Sotelo D., Osornio-Rios R.A., Avina-Cervantes J.G., Rostro-Gonzalez H. and Romero- Troncoso R.D., "Methodology for Fault Detection in Induction Motors via Sound and Vibration Signals", Mech. Syst. Sig. Process, 83 (2017), 568-589.
• [17] T. Bouno, S. Arimori, T. Yuji and H. Kinoshita, "Development of Fault Diagnosis Classification Method System using Mahalanobis Distance in Micro Wind Turbine", IEEJ Trans. on Power and Energy, 135 (2015), No.9, 577-578 in Japanese.
• [18] Iwasaki A., Todoroki A., Shimamura Y. and Kobayashi H., "Daage Indentification by Discriminant Analysis Using Maharanobis Distance", Trans. of the Japan Society of Mechanical Engineers, Series A, Vol.67, (2001), No.659, 1242- 1247 in Japanese.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).