메뉴 건너뛰기




Volumn 124, Issue , 2016, Pages 189-202

Comparison of the effectiveness of analytical wake models for wind farm with constant and variable hub heights

Author keywords

Analytical wake models; CFD simulations; Constant hub height; Variable hub heights; Wind farm

Indexed keywords

ANALYTICAL MODELS; COMPUTATIONAL FLUID DYNAMICS; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC UTILITIES; ONSHORE WIND FARMS; SURFACE ROUGHNESS; WAKES; WIND; WIND POWER; WIND TURBINES;

EID: 84978280271     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2016.07.017     Document Type: Article
Times cited : (71)

References (55)
  • 1
    • 84978193671 scopus 로고    scopus 로고
    • Council, G.W.E. Global wind report 2012. Brussels, Belgium; 2013.
    • [1] Council, G.W.E. Global wind report 2012. Brussels, Belgium; 2013.
  • 2
    • 84919484354 scopus 로고    scopus 로고
    • Comparing different CFD wind turbine modelling approaches with wind tunnel measurements
    • IOP Publishing
    • [2] Kalvig, S., Manger, E., Hjertager, B., Comparing different CFD wind turbine modelling approaches with wind tunnel measurements. Journal of physics: conference series, 2014, IOP Publishing.
    • (2014) Journal of physics: conference series
    • Kalvig, S.1    Manger, E.2    Hjertager, B.3
  • 3
    • 84921433190 scopus 로고    scopus 로고
    • Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology
    • [3] Nikolić, V., et al. Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology. Energy 80 (2015), 361–372.
    • (2015) Energy , vol.80 , pp. 361-372
    • Nikolić, V.1
  • 4
    • 79958286566 scopus 로고    scopus 로고
    • The wind farm layout optimization problem
    • P. Pardalos Leeds School of Business, University of Colorado at Boulder
    • [4] Samorani, M., The wind farm layout optimization problem. 2010, P. Pardalos Leeds School of Business, University of Colorado at Boulder.
    • (2010)
    • Samorani, M.1
  • 5
    • 84883506531 scopus 로고    scopus 로고
    • Coordinated control of a wind turbine array for power maximization
    • IEEE
    • [5] Bitar, E., Seiler, P., Coordinated control of a wind turbine array for power maximization. American Control Conference (ACC), 2013, IEEE.
    • (2013) American Control Conference (ACC)
    • Bitar, E.1    Seiler, P.2
  • 6
    • 84903718759 scopus 로고    scopus 로고
    • Comparison of engineering wake models with CFD simulations
    • IOP Publishing
    • [6] Andersen, S.J., et al. Comparison of engineering wake models with CFD simulations. Journal of physics: conference series, 2014, IOP Publishing.
    • (2014) Journal of physics: conference series
    • Andersen, S.J.1
  • 7
    • 84954246176 scopus 로고    scopus 로고
    • Comparison and verification of wake models in an onshore wind farm considering single wake condition of the 2 MW wind turbine
    • [7] Jeon, S., Kim, B., Huh, J., Comparison and verification of wake models in an onshore wind farm considering single wake condition of the 2 MW wind turbine. Energy 93 (2015), 1769–1777.
    • (2015) Energy , vol.93 , pp. 1769-1777
    • Jeon, S.1    Kim, B.2    Huh, J.3
  • 8
    • 84949114977 scopus 로고    scopus 로고
    • Altering kinetic energy entrainment in large eddy simulations of large wind farms using unconventional wind turbine actuator forcing
    • [8] VerHulst, C., Meneveau, C., Altering kinetic energy entrainment in large eddy simulations of large wind farms using unconventional wind turbine actuator forcing. Energies 8:1 (2015), 370–386.
    • (2015) Energies , vol.8 , Issue.1 , pp. 370-386
    • VerHulst, C.1    Meneveau, C.2
  • 9
    • 0003587805 scopus 로고    scopus 로고
    • An introduction to genetic algorithms
    • MIT Press
    • [9] Mitchell, M., An introduction to genetic algorithms. 1998, MIT Press.
    • (1998)
    • Mitchell, M.1
  • 10
    • 84978288483 scopus 로고    scopus 로고
    • TVT, Brisset S, Brochet P. Optimization methods. <> [cited 2015 November 11th].
    • [10] Moussouni F, TVT, Brisset S, Brochet P. Optimization methods. < http://l2ep.univ-lille1.fr/come/benchmark-transformer_fichiers/Method_GA.htm> [cited 2015 November 11th].
    • Moussouni, F.1
  • 11
    • 71549119517 scopus 로고    scopus 로고
    • Design of wind farm layout for maximum wind energy capture
    • [11] Kusiak, A., Song, Z., Design of wind farm layout for maximum wind energy capture. Renew Energy 35:3 (2010), 685–694.
    • (2010) Renew Energy , vol.35 , Issue.3 , pp. 685-694
    • Kusiak, A.1    Song, Z.2
  • 12
    • 84865287735 scopus 로고    scopus 로고
    • Bionic optimization for micro-siting of wind farm on complex terrain
    • [12] Song, M.X., et al. Bionic optimization for micro-siting of wind farm on complex terrain. Renew Energy 50 (2013), 551–557.
    • (2013) Renew Energy , vol.50 , pp. 551-557
    • Song, M.X.1
  • 13
    • 84873319320 scopus 로고    scopus 로고
    • The investigation of tower height matching optimization for wind turbine positioning in the wind farm
    • [13] Chen, K., Song, M., Zhang, X., The investigation of tower height matching optimization for wind turbine positioning in the wind farm. J Wind Eng Ind Aerodyn 114 (2013), 83–95.
    • (2013) J Wind Eng Ind Aerodyn , vol.114 , pp. 83-95
    • Chen, K.1    Song, M.2    Zhang, X.3
  • 14
    • 84875466750 scopus 로고    scopus 로고
    • Wind farm layout optimization using genetic algorithm with different hub height wind turbines
    • [14] Chen, Y., et al. Wind farm layout optimization using genetic algorithm with different hub height wind turbines. Energy Convers Manage 70 (2013), 56–65.
    • (2013) Energy Convers Manage , vol.70 , pp. 56-65
    • Chen, Y.1
  • 15
    • 84966747161 scopus 로고    scopus 로고
    • Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm
    • [15] Chen, K., et al. Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm. Renew Energy 96 (2016), 676–686.
    • (2016) Renew Energy , vol.96 , pp. 676-686
    • Chen, K.1
  • 16
    • 85002406478 scopus 로고    scopus 로고
    • A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines
    • [16] Hou, P., et al. A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines. 2016 IEEE power & energy society general meeting, 2016.
    • (2016) 2016 IEEE power & energy society general meeting
    • Hou, P.1
  • 17
    • 84929300205 scopus 로고    scopus 로고
    • Layout optimization for maximizing wind farm power production using sequential convex programming
    • [17] Park, J., Law, K.H., Layout optimization for maximizing wind farm power production using sequential convex programming. Appl Energy 151 (2015), 320–334.
    • (2015) Appl Energy , vol.151 , pp. 320-334
    • Park, J.1    Law, K.H.2
  • 18
    • 84921340400 scopus 로고    scopus 로고
    • The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain
    • [18] Song, M., et al. The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain. Energy 80 (2015), 567–574.
    • (2015) Energy , vol.80 , pp. 567-574
    • Song, M.1
  • 19
    • 84872798398 scopus 로고    scopus 로고
    • Simulation of turbulent flow inside and above wind farms: model validation and layout effects
    • [19] Wu, Y.-T., Porté-Agel, F., Simulation of turbulent flow inside and above wind farms: model validation and layout effects. Bound-Layer Meteorol 146:2 (2013), 181–205.
    • (2013) Bound-Layer Meteorol , vol.146 , Issue.2 , pp. 181-205
    • Wu, Y.-T.1    Porté-Agel, F.2
  • 20
    • 84896931273 scopus 로고    scopus 로고
    • A parallel CFD model for wind farms
    • [20] Avila, M., et al. A parallel CFD model for wind farms. Proc Comput Sci 18 (2013), 2157–2166.
    • (2013) Proc Comput Sci , vol.18 , pp. 2157-2166
    • Avila, M.1
  • 21
    • 84978314818 scopus 로고    scopus 로고
    • Effect of free stream turbulence on wind turbine performance; 2013.
    • [21] Mikkelsen K. Effect of free stream turbulence on wind turbine performance; 2013.
    • Mikkelsen, K.1
  • 22
    • 68149143099 scopus 로고    scopus 로고
    • Wake measurements from the Horns Rev wind farm
    • [22] Jensen, L.E., et al. Wake measurements from the Horns Rev wind farm. European wind energy conference, 2004.
    • (2004) European wind energy conference
    • Jensen, L.E.1
  • 23
    • 84939145793 scopus 로고    scopus 로고
    • Comparative study on optimizing the wind farm layout using different design methods and cost models
    • [23] Wang, L., Tan, A.C., Gu, Y., Comparative study on optimizing the wind farm layout using different design methods and cost models. J Wind Eng Ind Aerodyn 146 (2015), 1–10.
    • (2015) J Wind Eng Ind Aerodyn , vol.146 , pp. 1-10
    • Wang, L.1    Tan, A.C.2    Gu, Y.3
  • 24
    • 84904563581 scopus 로고    scopus 로고
    • Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm
    • [24] Gaumond, M., et al. Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm. Wind Energy 17:8 (2013), 1169–1178.
    • (2013) Wind Energy , vol.17 , Issue.8 , pp. 1169-1178
    • Gaumond, M.1
  • 25
  • 26
    • 84912017614 scopus 로고    scopus 로고
    • Modeling turbine wakes and power losses within a wind farm using LES: an application to the Horns Rev offshore wind farm
    • [26] Wu, Y.-T., Porté-Agel, F., Modeling turbine wakes and power losses within a wind farm using LES: an application to the Horns Rev offshore wind farm. Renew Energy 75 (2015), 945–955.
    • (2015) Renew Energy , vol.75 , pp. 945-955
    • Wu, Y.-T.1    Porté-Agel, F.2
  • 27
    • 84887214973 scopus 로고    scopus 로고
    • A new mathematical programming approach to optimize wind farm layouts
    • [27] Turner, S., et al. A new mathematical programming approach to optimize wind farm layouts. Renew Energy 63 (2014), 674–680.
    • (2014) Renew Energy , vol.63 , pp. 674-680
    • Turner, S.1
  • 28
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • [28] Grady, S., Hussaini, M., Abdullah, M.M., Placement of wind turbines using genetic algorithms. Renew Energy 30:2 (2005), 259–270.
    • (2005) Renew Energy , vol.30 , Issue.2 , pp. 259-270
    • Grady, S.1    Hussaini, M.2    Abdullah, M.M.3
  • 29
    • 0023697762 scopus 로고
    • Calculating the flowfield in the wake of wind turbines
    • [29] Ainslie, J.F., Calculating the flowfield in the wake of wind turbines. J Wind Eng Ind Aerodyn 27:1 (1988), 213–224.
    • (1988) J Wind Eng Ind Aerodyn , vol.27 , Issue.1 , pp. 213-224
    • Ainslie, J.F.1
  • 30
    • 84978246017 scopus 로고    scopus 로고
    • A simple wake calculation procedure; 1988.
    • [30] Larsen GC. A simple wake calculation procedure; 1988.
    • Larsen, G.C.1
  • 31
    • 0026805671 scopus 로고
    • On the wind speed reduction in the center of large clusters of wind turbines
    • [31] Frandsen, S., On the wind speed reduction in the center of large clusters of wind turbines. J Wind Eng Ind Aerodyn 39:1 (1992), 251–265.
    • (1992) J Wind Eng Ind Aerodyn , vol.39 , Issue.1 , pp. 251-265
    • Frandsen, S.1
  • 32
    • 84978251752 scopus 로고    scopus 로고
    • A note on wind generator interaction; 1983.
    • [32] Jensen NO. A note on wind generator interaction; 1983.
    • Jensen, N.O.1
  • 33
    • 85040880803 scopus 로고    scopus 로고
    • A simple model for cluster efficiency; 1986.
    • [33] Katic I, Højstrup J, Jensen N. A simple model for cluster efficiency; 1986.
    • Katic, I.1    Højstrup, J.2    Jensen, N.3
  • 34
    • 84921458179 scopus 로고    scopus 로고
    • Solving the wind farm layout optimization problem using random search algorithm
    • [34] Feng, J., Shen, W.Z., Solving the wind farm layout optimization problem using random search algorithm. Renew Energy 78 (2015), 182–192.
    • (2015) Renew Energy , vol.78 , pp. 182-192
    • Feng, J.1    Shen, W.Z.2
  • 35
    • 84962345592 scopus 로고    scopus 로고
    • A novel control strategy approach to optimally design a wind farm layout
    • [35] Wang, L., Tan, A., Gu, Y., A novel control strategy approach to optimally design a wind farm layout. Renew Energy 95 (2016), 10–21.
    • (2016) Renew Energy , vol.95 , pp. 10-21
    • Wang, L.1    Tan, A.2    Gu, Y.3
  • 36
    • 84928691146 scopus 로고    scopus 로고
    • A new constraint handling method for wind farm layout optimization with lands owned by different owners
    • [36] Wang, L., et al. A new constraint handling method for wind farm layout optimization with lands owned by different owners. Renew Energy 83 (2015), 151–161.
    • (2015) Renew Energy , vol.83 , pp. 151-161
    • Wang, L.1
  • 37
    • 84902274571 scopus 로고    scopus 로고
    • A new analytical model for wind-turbine wakes
    • [37] Bastankhah, M., Porté-Agel, F., A new analytical model for wind-turbine wakes. Renew Energy 70 (2014), 116–123.
    • (2014) Renew Energy , vol.70 , pp. 116-123
    • Bastankhah, M.1    Porté-Agel, F.2
  • 38
    • 84978247041 scopus 로고    scopus 로고
    • Engineering Model (OffWindEng). <> [cited 2015 November 11th].
    • [38] Engineering Model (OffWindEng). < http://offwind.eu/Help/EngWindSim> [cited 2015 November 11th].
  • 39
    • 84978248482 scopus 로고    scopus 로고
    • Validation of wind turbine wake models. Master of Science Thesis, Delft University of Technology; 2007.
    • [39] Renkema DJ. Validation of wind turbine wake models. Master of Science Thesis, Delft University of Technology; 2007.
    • Renkema, D.J.1
  • 40
    • 84897568179 scopus 로고    scopus 로고
    • A practical approach in the CFD simulation of off-shore wind farms through the actuator disc technique
    • [40] Castellani, F., et al. A practical approach in the CFD simulation of off-shore wind farms through the actuator disc technique. Energy Proc 35 (2013), 274–284.
    • (2013) Energy Proc , vol.35 , pp. 274-284
    • Castellani, F.1
  • 41
    • 84884498420 scopus 로고    scopus 로고
    • Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation
    • [41] Archer, C.L., Mirzaeisefat, S., Lee, S., Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation. Geophys Res Lett 40:18 (2013), 4963–4970.
    • (2013) Geophys Res Lett , vol.40 , Issue.18 , pp. 4963-4970
    • Archer, C.L.1    Mirzaeisefat, S.2    Lee, S.3
  • 42
    • 84903731596 scopus 로고    scopus 로고
    • A comparison of actuator disc and BEM models in CFD simulations for the prediction of offshore wake losses
    • IOP Publishing
    • [42] Lavaroni, L., et al. A comparison of actuator disc and BEM models in CFD simulations for the prediction of offshore wake losses. Journal of physics: conference series, 2014, IOP Publishing.
    • (2014) Journal of physics: conference series
    • Lavaroni, L.1
  • 43
    • 84978242169 scopus 로고    scopus 로고
    • Modeling turbine wakes and power losses within the Horns Rev offshore wind farm using large-eddy simulation
    • [43] Wu, Y.-T., Porte-Agel, F., Modeling turbine wakes and power losses within the Horns Rev offshore wind farm using large-eddy simulation. EGU general assembly conference abstracts, 2013.
    • (2013) EGU general assembly conference abstracts
    • Wu, Y.-T.1    Porte-Agel, F.2
  • 44
    • 84902264406 scopus 로고    scopus 로고
    • Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition
    • [44] Abkar, M., Porté-Agel, F., Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition. Renew Energy 70 (2014), 142–152.
    • (2014) Renew Energy , vol.70 , pp. 142-152
    • Abkar, M.1    Porté-Agel, F.2
  • 45
    • 84978224056 scopus 로고    scopus 로고
    • Wind farm wake prediction using CFD
    • University of Colorado at Boulder Ann Arbor
    • [45] Wolton, P.R., Wind farm wake prediction using CFD. 2008, University of Colorado at Boulder, Ann Arbor, 150.
    • (2008) , pp. 150
    • Wolton, P.R.1
  • 46
    • 84978247048 scopus 로고    scopus 로고
    • FLUENT 6.1 documentation: determining turbulence parameters; 2003. <> [cited 2015 8 October].
    • [46] FLUENT 6.1 documentation: determining turbulence parameters; 2003. < http://jullio.pe.kr/fluent6.1/help/html/ug/node178.htm> [cited 2015 8 October].
  • 50
    • 84872048261 scopus 로고    scopus 로고
    • Offshore wind farm layout optimization using mathematical programming techniques
    • [50] Pérez, B., Mínguez, R., Guanche, R., Offshore wind farm layout optimization using mathematical programming techniques. Renew Energy 53 (2013), 389–399.
    • (2013) Renew Energy , vol.53 , pp. 389-399
    • Pérez, B.1    Mínguez, R.2    Guanche, R.3
  • 51
    • 84925293042 scopus 로고    scopus 로고
    • Fault detection of wind turbine drivetrain utilizing power-speed characteristics
    • Springer
    • [51] Shahriar, M.R., et al. Fault detection of wind turbine drivetrain utilizing power-speed characteristics. 9th WCEAM research papers, 2015, Springer, 143–155.
    • (2015) 9th WCEAM research papers , pp. 143-155
    • Shahriar, M.R.1
  • 52
    • 84978193055 scopus 로고    scopus 로고
    • Roughness length. [cited 2016 June 8th].
    • [52] Roughness length. < https://en.wikipedia.org/wiki/Roughness_length> [cited 2016 June 8th].
  • 53
    • 84978266485 scopus 로고    scopus 로고
    • Optimization of wind turbine airfoils/blades and wind farm layouts; 2014.
    • [53] Chen X. Optimization of wind turbine airfoils/blades and wind farm layouts; 2014.
    • Chen, X.1
  • 54
    • 84978246612 scopus 로고    scopus 로고
    • An improvement on the standard linear uncertainty quantification using a least-squares method
    • [54] Cho, H., Luck, R., Stevens, J.W., An improvement on the standard linear uncertainty quantification using a least-squares method. J Uncertain Anal Appl 3:1 (2015), 1–13.
    • (2015) J Uncertain Anal Appl , vol.3 , Issue.1 , pp. 1-13
    • Cho, H.1    Luck, R.2    Stevens, J.W.3
  • 55
    • 84978312520 scopus 로고    scopus 로고
    • Least squares; 2016. [cited 2016 June 1st].
    • [55] Least squares; 2016. < https://en.wikipedia.org/wiki/Least_squares> [cited 2016 June 1st].


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.