Skip to main content

2015 | OriginalPaper | Buchkapitel

Economic Viability Analytics for Wind Energy Maintenance Management

verfasst von : Jesús María Pinar Pérez, Eva Segura Asensio, Fausto Pedro García Márquez

Erschienen in: Advanced Business Analytics

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The rising wind energy in addition to the increasing number of failures of the larger wind turbines makes necessary the reduction of costs in this industry to make it more competitive in this sector. For this propose the wind energy industry is focused on the reduction of the operation and maintenance (O&M) costs. Condition Monitoring Systems (CMS) are probably the most effective approach to minimize O&M cost and substantially improve the availability, reliability and safety of wind turbines by early detection of the faults. On the other hand, CMS is usual a complex task for any firm because it requires a set of sensors and data acquisition systems to monitor different parameters of the wind turbines. It also requires knowledge and expertise to interpret the large volume of data collected from the wind turbines. In this research work is studied the economic feasibility of a CMS in a wind turbine. The main objective of this work is the development of a life cycle cost (LCC) model for a CMS on wind turbines, being applied to a real case study in Germany. Previously, a review of the literature is realized to describe the state of the art for the economic viability analysis of CMS in wind turbines. This study reveals that the return of the investment depends on the net present value factor, the interest rate of a credit bank and the reduction of failures and energy losses of the wind turbines using CM.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Ghenai C (2012) Life cycle analysis of wind turbine, sustainable development. In: Ghenai C (ed) Energy, engineering and technologies - manufacturing and environment, Chap. 2. InTech, ISBN: 978-953-51-0165-9, pp 19–32 Ghenai C (2012) Life cycle analysis of wind turbine, sustainable development. In: Ghenai C (ed) Energy, engineering and technologies - manufacturing and environment, Chap. 2. InTech, ISBN: 978-953-51-0165-9, pp 19–32
2.
Zurück zum Zitat Fung KT, Scheffler RL, Stolpe J (1981) Wind energy – a utility perspective. IEEE Trans Power Apparatus Syst 100:1176–1182CrossRef Fung KT, Scheffler RL, Stolpe J (1981) Wind energy – a utility perspective. IEEE Trans Power Apparatus Syst 100:1176–1182CrossRef
3.
Zurück zum Zitat Ezio S, Claudio C (1998) Exploitation of wind as an energy source to meet the world’s electricity demand. J Wind Eng Ind Aerod 74–76:375–387 Ezio S, Claudio C (1998) Exploitation of wind as an energy source to meet the world’s electricity demand. J Wind Eng Ind Aerod 74–76:375–387
4.
Zurück zum Zitat Milborrow D (2006) Operation and maintenance costs compared and revealed. Wind Stats 19(3):3 Milborrow D (2006) Operation and maintenance costs compared and revealed. Wind Stats 19(3):3
5.
Zurück zum Zitat Vachon W (2002) Long-term O&M cost of wind turbines based on failure rates and repair costs. In: Proceedings WINDPOWER, American Wind Energy Association annual conference, Portland, OR, June 2002, pp 2–5 Vachon W (2002) Long-term O&M cost of wind turbines based on failure rates and repair costs. In: Proceedings WINDPOWER, American Wind Energy Association annual conference, Portland, OR, June 2002, pp 2–5
6.
Zurück zum Zitat Tavner PJ, Spinato F, van Bussel GJW, Koutoulakos E (2008) Reliability of different wind turbine concepts with relevance of offshore application. In: European wind energy conference, Brussels, April 2008 Tavner PJ, Spinato F, van Bussel GJW, Koutoulakos E (2008) Reliability of different wind turbine concepts with relevance of offshore application. In: European wind energy conference, Brussels, April 2008
7.
Zurück zum Zitat (2004) Life cycle costing guideline. Total asset management, New South Wales Treasury, ISBN 0 7313 3325 X (2004) Life cycle costing guideline. Total asset management, New South Wales Treasury, ISBN 0 7313 3325 X
8.
Zurück zum Zitat de Novaes Pires G, Alencar E, Kraj A (2010) Remote conditioning monitoring system for a hybrid wind diesel system-application at Fernando de Naronha Island, Brasil, http://www.ontario-sea.org (19-07-10) de Novaes Pires G, Alencar E, Kraj A (2010) Remote conditioning monitoring system for a hybrid wind diesel system-application at Fernando de Naronha Island, Brasil, http://​www.​ontario-sea.​org (19-07-10)
9.
Zurück zum Zitat Pinar Pérez JM, García Márquez FP, Tobias AM, Papaelias M (2013) Wind turbine reliability analysis. Renew Sustain Energy Rev 23:463–472CrossRef Pinar Pérez JM, García Márquez FP, Tobias AM, Papaelias M (2013) Wind turbine reliability analysis. Renew Sustain Energy Rev 23:463–472CrossRef
10.
Zurück zum Zitat Wiggelinkhuizen E, Verbruggen T, Xian J, Watson SJ, Giebel G, Norton E et al (2007) CONMOW: condition monitoring for offshore wind farms. In: Proceedings of the 2007 EWEA European wind energy conference (EWEC2007), Milan, Italy, May 2007, pp 7–10 Wiggelinkhuizen E, Verbruggen T, Xian J, Watson SJ, Giebel G, Norton E et al (2007) CONMOW: condition monitoring for offshore wind farms. In: Proceedings of the 2007 EWEA European wind energy conference (EWEC2007), Milan, Italy, May 2007, pp 7–10
11.
Zurück zum Zitat Tongdan J, Mechehoul M (2010) Minimize production loss in device testing via condition-based equipment maintenance. IEEE Trans Autom Sci Eng 7(4):958–963CrossRef Tongdan J, Mechehoul M (2010) Minimize production loss in device testing via condition-based equipment maintenance. IEEE Trans Autom Sci Eng 7(4):958–963CrossRef
12.
Zurück zum Zitat Rumsey MA, Paquette JA (2008) Structural health monitoring of wind turbine blades. In: Proceedings of SPIE 2008, vol 6933. 69330E-1-69330E-15. SPIE-2008-6933-14A Rumsey MA, Paquette JA (2008) Structural health monitoring of wind turbine blades. In: Proceedings of SPIE 2008, vol 6933. 69330E-1-69330E-15. SPIE-2008-6933-14A
13.
Zurück zum Zitat Scarf PA (2007) A framework for condition monitoring and condition based maintenance. Qual Technol Quant Manag 4(2):301–312 Scarf PA (2007) A framework for condition monitoring and condition based maintenance. Qual Technol Quant Manag 4(2):301–312
14.
Zurück zum Zitat Yang WX, Tavner PJ, Crabtree CJ, Wilkinson M (2010) Cost effective condition monitoring for wind turbines. IEEE Trans Ind Electron 57(1):263–271CrossRef Yang WX, Tavner PJ, Crabtree CJ, Wilkinson M (2010) Cost effective condition monitoring for wind turbines. IEEE Trans Ind Electron 57(1):263–271CrossRef
15.
Zurück zum Zitat Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20(7):1483–1510CrossRef Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20(7):1483–1510CrossRef
16.
Zurück zum Zitat Nilsson J, Bertling L (2007) Maintenance management of wind power systems using condition monitoring systems – life cycle costs analysis for two case studies. IEEE Trans Energy Conv 22(1):223–229CrossRef Nilsson J, Bertling L (2007) Maintenance management of wind power systems using condition monitoring systems – life cycle costs analysis for two case studies. IEEE Trans Energy Conv 22(1):223–229CrossRef
17.
18.
Zurück zum Zitat Amirat Y, Benbouzid MEH, Bensaker B, Wamkeue R (2007) Condition monitoring and fault diagnosis in wind energy conversion systems: a review. In: Electric machines and drives conference 2007 (IEMDC07), Antalya, Turkey, pp 1434–1439 Amirat Y, Benbouzid MEH, Bensaker B, Wamkeue R (2007) Condition monitoring and fault diagnosis in wind energy conversion systems: a review. In: Electric machines and drives conference 2007 (IEMDC07), Antalya, Turkey, pp 1434–1439
19.
Zurück zum Zitat Wakui T, Yokoyama R (2013) Wind Speed Sensorless performance monitoring based on operating behaviour for stand-alone vertical axis wind turbine. Renew Energy 53(1):49–59CrossRef Wakui T, Yokoyama R (2013) Wind Speed Sensorless performance monitoring based on operating behaviour for stand-alone vertical axis wind turbine. Renew Energy 53(1):49–59CrossRef
20.
Zurück zum Zitat Kusiak A, Zhang Z, Verma A (2013) Prediction, operations, and condition monitoring in wind energy. Energy 60(1):1–2CrossRef Kusiak A, Zhang Z, Verma A (2013) Prediction, operations, and condition monitoring in wind energy. Energy 60(1):1–2CrossRef
21.
Zurück zum Zitat Li L, Wenxiu L, Fulei C (2010) Application of AE techniques for the detection of wind turbine using Hilbert-Huang transform. In: PHM’10 prognostics and health management conference, Macao, China, pp 1–7 Li L, Wenxiu L, Fulei C (2010) Application of AE techniques for the detection of wind turbine using Hilbert-Huang transform. In: PHM’10 prognostics and health management conference, Macao, China, pp 1–7
22.
Zurück zum Zitat Tsopelas N, Kourousis D, Ladis I, Anastasopulos A, Lekou DJ, Mouzakis F (2012) Health monitoring of operating wind turbine blades with acoustic emission. In: Paipetis AS et al (eds) Emerging technologies in non-destructive testing V. Taylor and Francis, London, pp 347–352CrossRef Tsopelas N, Kourousis D, Ladis I, Anastasopulos A, Lekou DJ, Mouzakis F (2012) Health monitoring of operating wind turbine blades with acoustic emission. In: Paipetis AS et al (eds) Emerging technologies in non-destructive testing V. Taylor and Francis, London, pp 347–352CrossRef
23.
Zurück zum Zitat Knezevic J (1993) Reliability, maintainability and supportability engineering: a probabilistic approach. McGraw Hill, New York Knezevic J (1993) Reliability, maintainability and supportability engineering: a probabilistic approach. McGraw Hill, New York
24.
Zurück zum Zitat Endrenyi J, McCauley J, Shing C (2001) The present status of maintenance strategies and the impact of maintenance and reliability. IEEE Trans Power Syst 16(4):638–646CrossRef Endrenyi J, McCauley J, Shing C (2001) The present status of maintenance strategies and the impact of maintenance and reliability. IEEE Trans Power Syst 16(4):638–646CrossRef
25.
Zurück zum Zitat Hameed Z, Hong YS, Choa YM, Ahn SH, Song CK (2009) Condition Monitoring and fault detection for wind turbines and related algorithms: a review. Renew Sustain Energy Rev 13:1–39CrossRef Hameed Z, Hong YS, Choa YM, Ahn SH, Song CK (2009) Condition Monitoring and fault detection for wind turbines and related algorithms: a review. Renew Sustain Energy Rev 13:1–39CrossRef
27.
Zurück zum Zitat Morfiadakis E, Papadopoulos K, Philippidis TP (2000) Assessment of the stain gauge technique for measurement of wind energy turbine blade loads. Wind Energy 3(1):35–65CrossRef Morfiadakis E, Papadopoulos K, Philippidis TP (2000) Assessment of the stain gauge technique for measurement of wind energy turbine blade loads. Wind Energy 3(1):35–65CrossRef
28.
Zurück zum Zitat Schroeder K, Ecke W, Apitz J, Lembke E, Lenschow G (2006) A fiber Bragg grating sensor system monitors operational load in a wind turbine rotor blade. Meas Sci Technol 17(5):1167–1172CrossRef Schroeder K, Ecke W, Apitz J, Lembke E, Lenschow G (2006) A fiber Bragg grating sensor system monitors operational load in a wind turbine rotor blade. Meas Sci Technol 17(5):1167–1172CrossRef
29.
Zurück zum Zitat Smith BM (1978) Condition monitoring by thermography. NDT Int 11(3):121–122CrossRef Smith BM (1978) Condition monitoring by thermography. NDT Int 11(3):121–122CrossRef
30.
Zurück zum Zitat Rumsey MA, Musial W (2001) Application of infrared thermography non destructive testing during wind turbine blade tests. J Solar Energy Eng 123(4):271CrossRef Rumsey MA, Musial W (2001) Application of infrared thermography non destructive testing during wind turbine blade tests. J Solar Energy Eng 123(4):271CrossRef
31.
Zurück zum Zitat Zhen L, Zhengjia H, Yanyang Z, Xuefeng C (2008) Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme. Math Comput Simulat 79(3):318–338CrossRef Zhen L, Zhengjia H, Yanyang Z, Xuefeng C (2008) Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme. Math Comput Simulat 79(3):318–338CrossRef
32.
Zurück zum Zitat Sorensen BF, Lading L, Sendrup P, McGugan M, Debel CP, Kristensen OJD et al (2002) Fundamentals for remote structural health monitoring of wind turbines blades – a preproject. In: Risø-R-1336(EN). Risø National Laboratory, Roskilde, Denmark, May 2002 Sorensen BF, Lading L, Sendrup P, McGugan M, Debel CP, Kristensen OJD et al (2002) Fundamentals for remote structural health monitoring of wind turbines blades – a preproject. In: Risø-R-1336(EN). Risø National Laboratory, Roskilde, Denmark, May 2002
33.
Zurück zum Zitat Raisutis R, Jasiuniene E, Sliteris R, Vladisauskas A (2008) The review of non-destructive testing techniques suitable for inspection of the wind turbines blades. Ultragarsas (Ultrasound) 63(1):26–30 Raisutis R, Jasiuniene E, Sliteris R, Vladisauskas A (2008) The review of non-destructive testing techniques suitable for inspection of the wind turbines blades. Ultragarsas (Ultrasound) 63(1):26–30
34.
Zurück zum Zitat Caselitz P, Giebhardt J (2003) Fault prediction techniques for offshore wind farm maintenance and repair strategies. In: Proceedings of the EWEC2003 Caselitz P, Giebhardt J (2003) Fault prediction techniques for offshore wind farm maintenance and repair strategies. In: Proceedings of the EWEC2003
35.
Zurück zum Zitat Cheng J, Yang Y, Yu D (2010) The envelope order spectrum based on generalized demodulation time-frequency analysis and its application to gear fault diagnosis. Mech Syst Signal Process 24:508–521CrossRef Cheng J, Yang Y, Yu D (2010) The envelope order spectrum based on generalized demodulation time-frequency analysis and its application to gear fault diagnosis. Mech Syst Signal Process 24:508–521CrossRef
36.
Zurück zum Zitat Tandon N, Nakra BC (1992) Comparison of vibration and acoustic measurement techniques for the condition monitoring of rolling element bearings. Tribol Int 25(3):205–212CrossRef Tandon N, Nakra BC (1992) Comparison of vibration and acoustic measurement techniques for the condition monitoring of rolling element bearings. Tribol Int 25(3):205–212CrossRef
37.
Zurück zum Zitat Staszewski WJ, Tomlinson GR (1994) Application of the wavelet transform to fault detection in a Spur gear. Mech Syst Signal Process 8:289–307CrossRef Staszewski WJ, Tomlinson GR (1994) Application of the wavelet transform to fault detection in a Spur gear. Mech Syst Signal Process 8:289–307CrossRef
38.
Zurück zum Zitat Luo GY, Osypiw D, Irle M (2003) Online vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing. J Vib Control 9:931–947CrossRef Luo GY, Osypiw D, Irle M (2003) Online vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing. J Vib Control 9:931–947CrossRef
39.
Zurück zum Zitat Ocak H, Loparo KA (2001) A new bearing fault detection and diagnosis scheme based on Hidden Markov modeling of vibrations signals. IEEE ICASSP 5:3141–3144 Ocak H, Loparo KA (2001) A new bearing fault detection and diagnosis scheme based on Hidden Markov modeling of vibrations signals. IEEE ICASSP 5:3141–3144
40.
Zurück zum Zitat Miaoa Q, Makis V (2007) Condition monitoring and classification of rotating machinery using wavelets and Hidden Markov Models. Mech Syst Signal Process 21:840–855CrossRef Miaoa Q, Makis V (2007) Condition monitoring and classification of rotating machinery using wavelets and Hidden Markov Models. Mech Syst Signal Process 21:840–855CrossRef
41.
Zurück zum Zitat Yam RCM, Tse PW, Li L, Tu P (2001) Intelligent predictive decision support system for condition-based maintenance. Int J Adv Manuf Technol 17(5):383–391CrossRef Yam RCM, Tse PW, Li L, Tu P (2001) Intelligent predictive decision support system for condition-based maintenance. Int J Adv Manuf Technol 17(5):383–391CrossRef
42.
Zurück zum Zitat García Márquez FP, Tobias AM, Pinar Pérez JM, Papaelias M (2012) Condition monitoring of wind turbines: techniques and methods. Renew Energy 46:169–178CrossRef García Márquez FP, Tobias AM, Pinar Pérez JM, Papaelias M (2012) Condition monitoring of wind turbines: techniques and methods. Renew Energy 46:169–178CrossRef
43.
Zurück zum Zitat Fabrycky WJ, Blanchard BS (1991) Life-cycle cost and economic analysis. Prentice Hall, Englewood Cliffs, NJ Fabrycky WJ, Blanchard BS (1991) Life-cycle cost and economic analysis. Prentice Hall, Englewood Cliffs, NJ
44.
Zurück zum Zitat Castro-Santos L, Prado García G, Diaz-Casas V (2013) Methodology to study the life cycle cost of floating offshore wind farms. In: 10th deep sea wind R&D conference Castro-Santos L, Prado García G, Diaz-Casas V (2013) Methodology to study the life cycle cost of floating offshore wind farms. In: 10th deep sea wind R&D conference
45.
Zurück zum Zitat Castro-Santos L, Filgueira Vizoso A, Muñoz Camacho E, Piegiari L (2012) General economic analysis about the wind farms repowering in Spain. J Energy Power Eng 6:1158–1162 Castro-Santos L, Filgueira Vizoso A, Muñoz Camacho E, Piegiari L (2012) General economic analysis about the wind farms repowering in Spain. J Energy Power Eng 6:1158–1162
46.
Zurück zum Zitat Nordahl M (2011) The development of a life cycle cost model for an offshore wind farm, Göteborg: Chalmers tekniska högskola. Diploma work – Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden. ISSN 1652-8557 Nordahl M (2011) The development of a life cycle cost model for an offshore wind farm, Göteborg: Chalmers tekniska högskola. Diploma work – Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden. ISSN 1652-8557
47.
Zurück zum Zitat Krokoszinski H-J (2003) Efficiency and effectiveness of wind farms – keys to cost optimized operation and maintenance. Renew Energy 28:2165–2178CrossRef Krokoszinski H-J (2003) Efficiency and effectiveness of wind farms – keys to cost optimized operation and maintenance. Renew Energy 28:2165–2178CrossRef
48.
Zurück zum Zitat Walford CA (2006) Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs. Sandia Report, SAND2006-1100. Sandia National Laboratories, Albuquerque, NM and Livermore, CA Walford CA (2006) Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs. Sandia Report, SAND2006-1100. Sandia National Laboratories, Albuquerque, NM and Livermore, CA
49.
Zurück zum Zitat Besnard F, Fischer K, Bertling L (2010) Reliability-centred asset maintenance – a step towards enhanced reliability, availability, and profitability of wind power plants. In: 2010 I.E. PES Innovative smart grid technologies conference Europe (ISGT Europe), pp 1–8 Besnard F, Fischer K, Bertling L (2010) Reliability-centred asset maintenance – a step towards enhanced reliability, availability, and profitability of wind power plants. In: 2010 I.E. PES Innovative smart grid technologies conference Europe (ISGT Europe), pp 1–8
50.
Zurück zum Zitat Hameed Z, Ahn SH, Cho YM (2010) Practical aspects of a condition monitoring system for a wind turbine with emphasis on its design, system architecture, testing and installation. Renew Energy 35:879–894CrossRef Hameed Z, Ahn SH, Cho YM (2010) Practical aspects of a condition monitoring system for a wind turbine with emphasis on its design, system architecture, testing and installation. Renew Energy 35:879–894CrossRef
51.
Zurück zum Zitat Besnard F, Nilsson J, Bertling L (2010) On the economic benefits of using condition monitoring systems for maintenance management of wind power systems. In: 2010 I.E. 11th international conference on probabilistic methods applied to power systems, pp 160–165 Besnard F, Nilsson J, Bertling L (2010) On the economic benefits of using condition monitoring systems for maintenance management of wind power systems. In: 2010 I.E. 11th international conference on probabilistic methods applied to power systems, pp 160–165
52.
Zurück zum Zitat García Márquez FP, Lewis RW, Tobias AM, Roberts C (2008) Life cycle costs for railway condition monitoring. Transport Res E 44:1175–1187CrossRef García Márquez FP, Lewis RW, Tobias AM, Roberts C (2008) Life cycle costs for railway condition monitoring. Transport Res E 44:1175–1187CrossRef
Metadaten
Titel
Economic Viability Analytics for Wind Energy Maintenance Management
verfasst von
Jesús María Pinar Pérez
Eva Segura Asensio
Fausto Pedro García Márquez
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-11415-6_3