Top

Published in:

2013 | OriginalPaper | Chapter

Innovative Wind Energy Models and Prediction Methodologies

Author : Zekâi Şen

Published in: Handbook of Wind Power Systems

Publisher: Springer Berlin Heidelberg

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Energy sources are among the major driving forces almost all the societal activities and its rather easiest way of extraction is from the fossil fuels, especially, coal and petroleum. However, their exploitations have direct and side effects on the most essential substances, air and water, because of greenhouse gas emissions into the atmosphere. Recent climate change effects are all related to fossil fuel exploitation, and therefore, the trend in the world now is towards excessive use, if possible, of clean and hence environmentally friendly energy sources among which apart from other alternatives wind power is present day attraction. In open literature there are many classical wind power calculation methods. In this chapter innovative ones are explained with applications. Among these stochastic temporal, cumulative semivariogram spatial, statistical perturbation, and innovative wind energy formulation and its Betz limit comparisons are presented.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

previous chapter Risk Management Tools for Wind Power Trades: Weather Derivatives on Forecast Errors

next chapter Integration of Wind Power Production in a Conventional Power Production System: Stochastic Models and Performance Measures

Anderson M (1992) Current status of wind forms in the UK. Renew Energy Syst

Ang AH, Jang WH (1975) Probability concepts in engineering planning and design. Wiley, New York

Aslan Z, Menteş S, Tolun S (1993) Gökçeada rüzgar enerji potansiyelinin belirlenmesi (Wind power determination at Gökçeada station). First national clean energy symposium. Meteorology Department, İstanbul Technical University, pp 104–112 (in Turkish)

Auwera LD, De Meyer F, Malet LM (1980) The use of the Weibull three-parameter model for estimating mean wind power densities. J Appl Meteorol 19:819–825CrossRef

Barchet WR, Davis WE (1983) Estimating long-term mean winds from short-term wind data, report 4785, Battelle, PNL, p 21

Barros VR, Estevan EA (1983) On the evaluation of wind power from short wind records. J Appl Meteorol 22:1116–1123

Bennett M, Hamilton PM, Moore DJ (1983) Estimation of low-level winds from upper air data. IEE Proc 130(9):517–520, Pt A

Benjamin JR, Cornell CA (1970) Probability statistics and decision making for civil engineers. McGraw-Hill, New York

Bergey KH (1980) The Lanchester-Betz limit. J Energy 3(6):382–384CrossRef

10.

Betz A (1926) Schraubenpropeller mit geringstem Energieverlust. Göttinger Nachrichten, mathematisch-physikalische Klasse, pp 193–213

11.

Clarke A (1988) Wind farm location and environmental impact. Network for Alternative Technology and Technology Assessments C/O EEDU, The Open University, UK

12.

Conradsen K, Nielsen LB (1984) Review of Weibull statistics for estimation of wind speed distribution. J Climatol Appl Meteorol 23:1173–1183

13.

Corotis RB, Sigl AB, Cohen MP (1984) Variance analysis of wind characteristics for energy conversion. J Appl Meteorol 23:1477–1479

14.

Cox DR, Miller HD (1965) The theory of stochastic processes. Methuen, London

15.

Davenport AG (1963) The relationship of wind structure to wind loading. In: Proceedings of conference wind effects on structures, National Physics Laboratory, London, England, pp 19–82

16.

Doğan V (1991) Gökçeada için rüzgar enerji potansiyelinin istatistiksel metotlarla incelenmesi statistical investigation of Gökçeada wind potential. Istanbul Tech Univ J:31 (in Turkish)

17.

Dunn PD (1986) Renewable energies: sources, conversion and application. Peter Peregrinus Ltd, p 373

18.

Erasmus DA (1984) A boundary layer wind flow model for areas of complex terrain. Unpublished Ph.D. Thesis, University of Hawaii, p 975

19.

EWEA (1991) Time for action: wind energy in Europe. European Wind Energy Association

20.

Feller W (1968) An introduction to probability theory and its application. Wiley, New York, p 509

21.

Gustavson MR (1979) Limit to wind power utilization. Science 204(4388):13–17

22.

Haltiner GJ (1971) Numerical weather prediction. Wiley, New York, p 317

23.

Hennessey JP Jr (1977) Some aspects of wind power statistics. J Appl Meteorol 16:119–128CrossRef

24.

Holton JR (1972) An introduction to dynamic meteorology. Academic Press, New York, p 319

25.

İncecik S, Erdoğmuş F (1994) An investigation of wind power potential in western coast of Anatolia. Renew Energy

26.

Justus CG, Hargraves WR, Yalçin A (1976) Nationwide assessment of potential output from wind powered generators. J Appl Meteorol 15:673–678CrossRef

27.

Justus CG, Mikhail A (1967) Height variation of wind speed and wind distribution statistics. Geophys Res Lett 3:261–264CrossRef

28.

Justus CG, Hargraves WR, Mikhail A (1976b) Reference wind speed distributions and height profiles for wind turbine design and performance evaluation applications, ERDA ORO/5107-76/4

29.

Justus CG (1978) Wind and wind system performance. Franklin Institute Press, Philadelphia

30.

Kadıoğlu M (1997) Trends in surface air temperature data over Turkey. Int J Climatol 17:511–520CrossRef

31.

Kadıoğlu M, Şen Z (1998) Power-law relationship in describing temporal and spatial precipitation pattern in Turkey. Theor Appl Climatol 59:93–106CrossRef

32.

Kahraman G (1993) Gökçeada’da Uğurlu ve Doruk tepe istasyonlari rüzgar enerji potansiyelinin incelenmesi. Istanbul Tech Univ J:64

33.

Kaminsky FC, Kirchhoff RH (1988) Bivariate probability models for the description of average wind speed at two heights. Sol Energy 40(1):49–56CrossRef

34.

Malet LM (1978) Element d’appreciation de l’energie eolienne en Belgique. IRM Publishing Services B, no. 59

35.

Matheron G (1963) Principles of geostatistics. Econ Geol 58:1246–1266CrossRef

36.

Papoulis A (1965) Probability, random variables, and stochastic processes. McGraw Hill, New York, p 583MATH

37.

Petersen EL, Troen I, Frandsen S, Hedegard K (1981) Wind atlas for Denmark. Riso National Laboratory, DK-4000 Roskilde, Denmark, p 229

38.

Reed JW (1979) Wind power climatology of United States—Supplement, SAND78-1620

39.

Schlatter TW (1988) Past and present trends in the objective analysis of meteorological data for nowcasting and numerical forecasting. 8th conference on numerical weather prediction. American Meteorological Society, pp 9–25

40.

Skibin D (1984) Comment “On the evolution of wind power from short wind records”. J Appl Meteorol 23:1477–1479

41.

Sorensen HA (1983) Energy conversion systems. Wiley, New Jersey

42.

Sutton OG (1953) Micrometeorology: a study of physical process in the lowest layers of the Earth’s atmosphere. McGraw-Hill, New York

43.

Şahin AD (2004) Progress and recent trends in wind energy. Prog Energy Combust Sci Int Rev J 30:501–543

44.

Şen Z (1989) Cumulative semivariogram models of regionalized variables. Int J Math Geol 21:891–903CrossRef

45.

Şen Z, Şahin AD (1997) Regional assessment of wind power in western Turkey by the cumulative semivariogram method. Renew Energy 12(2)

46.

Şen Z (1997) Statistical investigation of wind energy reliability and its application. Renew Energy 10:71–79CrossRef

47.

Şen Z (1999) Terrain topography classification for wind energy generation. Renew Energy 16:904–907CrossRef

48.

Şen Z (1992) Standard cumulative semivariograms of stationary stochastic processes and regional correlation. Int J Math Geol 24(4):417–435CrossRef

49.

Şen Z (1996) Statistical investigation of wind energy reliability and its application. Renew Energy 10:71–79

50.

Şen Z (2008) Solar energy fundamentals and modelling techniques: atmosphere, environment, climate change and renewable energy. Springer, London, p 376

51.

Taylor GI (1925) Eddy motion in the atmosphere. Phil Trans R Soc Lond A 215(1):1–26

52.

Troen I, Petersen EL (1989) European wind atlas, commission of the European communities. Riso National Laboratory, Roskilde, p 655

53.

Wark K, Warner CF (1981) Air pollution. Its origin and control. Harper Collins Publishers, New York, p 526

Title: Innovative Wind Energy Models and Prediction Methodologies
Author: Zekâi Şen
Publisher: Springer Berlin Heidelberg
Book: Handbook of Wind Power Systems
Print ISBN: 978-3-642-41079-6

Electronic ISBN: 978-3-642-41080-2

Copyright Year: 2013
DOI: https://doi.org/10.1007/978-3-642-41080-2_4