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Selection of an optimal lattice wind turbine tower for a seismic region based on the Cost of Energy

  • Structural Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Over the past few decades, wind has emerged as one of the major sources of green and renewable energy for being a cost effective solution and offering a substantial reduction in greenhouse gas emissions. Currently, onshore wind energy is undergoing a rapid development and expansion at an annual rate of approximately 27%. As such, more and more wind farms are being established in earthquake prone areas resulting from the availability of wind energy in these regions. This paper investigates the optimal selection of lattice wind turbine towers in seismic regions based on the Cost of Energy (COE). Although, various different tower types and materials (e.g., steel and concrete-steel composite monopole) are available, this study focuses on steel lattice towers for providing a cost effective solution and for posing a challenging structural optimization problem. To the knowledge of the authors, design optimization of lattice wind turbine towers subjected to combined earthquake, wind and gravity loading has not been performed before. Ten tower height-wind turbine size combinations are generated by placing turbines with 100 to 400 kW power generation capacity on towers having 24 to 42.6 m height, and a cost optimal solution is obtained for each combination. Taboo search algorithm is used to minimize the total cost. The wind and earthquake loads on the towers are obtained for a specific case study location. The COE for each combination is calculated using three different wind probability distributions. Instead of using simplified structural models, all the details of a rigorous structural analysis, e.g., geometric nonlinearity, are included in the finite element models. Realistic loading conditions, including wind and earthquake, are considered.

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References

  • Adeli, H. and Cheng, N. (1994). “Concurrent genetic algorithms for optimization of large structures.” Journal of Aerospace Engineering, Vol. 7, No. 3, pp. 276–296, DOI: 10.1061/(ASCE)0893-1321(1994)7:3(276).

    Article  Google Scholar 

  • Adeli, H. and Kamal, O. (1992). “Concurrent optimization of large structures. II: Applications.” Journal of Aerospace Engineering, Vol. 5, No. 1, pp. 91–110, DOI: 10.1061/(ASCE)0893-1321(1992)5:1(91).

    Article  Google Scholar 

  • Adeli, H. and Kumar, S. (1995a). “Concurrent structural optimization on massively parallel supercomputer.” Journal of Structural Engineering, Vol. 121, No. 11, pp. 1588–1597, DOI: 10.1061/(ASCE)0733-9445(1995)121:11(1588).

    Article  Google Scholar 

  • Adeli, H. and Kumar, S. (1995b). “Distributed genetic algorithm for structural optimization.” Journal of Aerospace Engineering, Vol. 8, No. 3, pp. 156–163, DOI: 10.1061/(ASCE)0893-1321(1995)8:3(156).

    Article  Google Scholar 

  • Adeli, H. and Sarma, K. (2006). Cost optimization of structures — Fuzzy logic, genetic algorithms, and parallel computing, John Wiley and Sons, West Sussex, United Kingdom.

    Book  Google Scholar 

  • ANSI/TIA 222-G (2005). Structural standard for antenna supporting structures and antennas, American National Standards Institute (ANSI), Arlington, Virginia, USA.

    Google Scholar 

  • ASCE (2010). Minimum design loads for buildings and other structures, American Society of Civil Engineers, ASCE 7-10, Reston, Virginia.

    Google Scholar 

  • ASCE/AWEA RP2011 (2011). Recommended practice for compliance of large land-based wind turbine support structures, American Wind Energy Association (AWEA) and American Society of Civil Engineers (ASCE), Washington, DC.

    Google Scholar 

  • AutoSut (2013). SUT wind turbines, www.autosut.com.

    Google Scholar 

  • AWEA (2011). U.S. wind industry annual market report year ending 2010, American Wind Energy Association.

    Google Scholar 

  • AWEA (2012). U.S. wind industry first quarter 2012 market report, American Wind Energy Association.

    Google Scholar 

  • CSI (2013). CSI analysis reference manual, Computers and Structures, Inc., Berkeley, CA.

    Google Scholar 

  • DNV/Risø (2002). Guidelines for design of wind turbines, Det Norske Veritas, Copenhagen and Wind Energy Department, Risø National Laboratory, Denmark.

    Google Scholar 

  • EIA (1999). Renewable energy annual 1998, U.S. Energy Information Administration (EIA), Washington, DC.

    Google Scholar 

  • EIA (2012). Annual energy review 2011, DOE/EIA-0384, U.S. Energy Information Administration (EIA), Washington, DC.

    Google Scholar 

  • Elnashai, A. S., Papanikolaou, V. K., and Lee, D. (2010). ZEUS NL — A system for inelastic analysis of structures, Mid-America Earthquake (MAE) Center, Department of Civil and Environmental Engineeering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

    Google Scholar 

  • Engström, S., Lyrner, T., Hassanzadeh, M., Stalin, T., and Johansson, J. (2010). Tall towers for large wind turbines, Elforsk rapport 10:48, Vindforsk, Energimyndigheten, Elforsk, Stockholm, Sweden.

    Google Scholar 

  • Fingersh, L. J., Hand, M. M., and Laxson, A. S. (2006). Wind turbine design cost and scaling model, Rep. No. NREL/TP-500-40566, National Renewable Energy Laboratory, Golden, CO.

    Book  Google Scholar 

  • Fried, L. (2013). Global wind statistics 2012, Global Wind Energy Council, Brussels, Belgium.

    Google Scholar 

  • Fuchs, M. B. (1984). “Minimax in structural design.” ASCE Journal of Structural Engineering, Vol. 109, No. 5, pp. 1107–1117, DOI: 10.1061/(ASCE)0733-9445(1983)109:5(1107).

    Article  Google Scholar 

  • Galeb, A. C. and Khayoon, A. M. (2013). “Optimum design of transmission towers subjected to wind and earthquake loading.” Jordan Journal of Civil Engineering, Vol. 7, No. 1, pp. 70–92.

    Google Scholar 

  • Gencturk, B. (2013). “Life-cycle cost assessment of RC and ECC frames using structural optimization.” Earthquake Engineering & Structural Dynamics, Vol. 42, No. 1, pp. 61–79, DOI: 10.1002/eqe.2193.

    Article  Google Scholar 

  • Gencturk, B. and Hossain, K. A. (2013). “Optimal design of RC frames using nonlinear inelastic analysis.” Computational Methods in Earthquake Engineering, Springer Netherlands, pp. 545–568.

    Chapter  Google Scholar 

  • Gencturk, B., Attar, A., and Tort, C. (2012). Optimal design of lattice wind turbine towers, 15th World Conference on Earthquake Engineering, 24–28 September, Lisbon, Portugal.

    Google Scholar 

  • Ghannoum, E. and Yaacoub, S. J. (1989). “Optimization of transmission towers and foundations based on their minimum cost.” IEEE Transactions on Power Delivery, Vol. 4, No. 1, pp. 614–620, DOI: 10.1109/61.19253.

    Article  Google Scholar 

  • Gipe, P. (2004). Wind power: Renewable energy for home, farm, and business, Chelsea Green Publishing, White River Junction, VT.

    Google Scholar 

  • Glover, F. (1989). “Tabu search — Part I.” ORSA Journal on Computing, 1, No. 3, pp. 190–206, DOI: 10.1287/ijoc.1.3.190.

    Article  MathSciNet  Google Scholar 

  • Glover, F. (1990). “Tabu search- Part II.” ORSA Journal on Computing, Vol. 2, No. 1, pp. 4–32, DOI: 10.1287/ijoc.2.1.4.

    Article  MATH  Google Scholar 

  • Goldberg, D. E. (1989). Genetic algorithms in search optimization and machine learning, Addison-Wesley Longman, Reading.

    MATH  Google Scholar 

  • Gualtieri, G. and Secci, S. (2012). “Methods to extrapolate wind resource to the turbine hub height based on power law: A 1-h wind speed vs. Weibull distribution extrapolation comparison.” Renewable Energy, Vol. 43, pp. 183–200, DOI: 10.1016/j.renene.2011.12.022.

    Article  Google Scholar 

  • Guo, H. Y. and Li, Z. L. (2011). “Structural topology optimization of high-voltage transmission tower with discrete variables.” Structural and Multidisciplinary Optimization, Vol. 43, No. 6, pp. 851–861, DOI: 10.1007/s00158-010-0561-3.

    Article  Google Scholar 

  • Hasançebi, O., Çarba, S., Doğan, E., Erdal, F. and Saka, M. P. (2009). “Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures.” Computers & Structures, Vol. 87, Nos. 5–6, pp. 284–302, DOI: 10.1016/j.compstruc.2009.01.002.

    Article  Google Scholar 

  • Hellmann, G. (1915). “Über die bewegung der luft in den untersten schichten der atmosphäre.” Meteorologische Zeitschrift, Vol. 34, pp. 1–16.

    Google Scholar 

  • Hossain, K. A. and Gencturk, B. (2013). “Life-cycle environmental impact assessment of RC buildings subjected to natural hazards.” ASCE Journal of Architectural Engineering, DOI: 10.1061/(ASCE)AE.1943-5568.0000153.

    Google Scholar 

  • IEC (2005). Wind turbines- Part 1: Design Requirements, IEC 61400-1, International Electrotechnical Comission (IEC), Geneva, Switzerland.

    Google Scholar 

  • IEC (2006). Design requirements for small wind turbines, International Electrotechnical Commission (IEC), IEC 61400-2, Geneva, Switzerland.

    Google Scholar 

  • Khot, N. S. (1983). “Nonlinear analysis of optimized structure with constraints on systemstability.” AIAA Journal, Vol. 21, No. 8, pp. 1181–1186, DOI: 10.2514/3.8224.

    Article  MATH  Google Scholar 

  • Kocer, F. Y. and Arora, J. S. (1999). “Optimal design of H-Frame transmission poles for earthquake loading.” Journal of Structural Engineering, Vol. 125, No. 11, pp. 1299–1308, DOI: 10.1061/(Asce)0733-9445(1999)125:11(1299).

    Article  Google Scholar 

  • Kocer, F. Y. and Arora, J. S. (2002). “Optimal design of latticed towers subjected to earthquake loading.” Journal of Structural Engineering, Vol. 128, No. 2, pp. 197–204, DOI: 10.1061/(Asce)0733-9445(2002)128:2(197).

    Article  Google Scholar 

  • Lee, K. S. and Geem, Z. W. (2005). “A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice.” Computer Methods in Applied Mechanics and Engineering, Vol. 194, No. 36–38, pp. 3902–3933, DOI: 10.1016/j.cma.2004.09.007.

    Article  MATH  Google Scholar 

  • Lemming, J., Morthorst, P. E., Hansen, L. H., Andersen, P. D., and Jensen, P. H. (1999). “O&M costs and economical life-time of wind turbines.” European Wind Energy Conferences, March 1–5, Nice, France, pp. 387–390.

    Google Scholar 

  • Levitin, G., Mazal-Tov, S., and Ben-Hain, H. (1999). “Genetic algorithm for optimization of angle bar inventory for lattice towers used in distribution and transmission systems.” International Conference on Electrical and Electronics Engineering (ELECO’99), December 1–5, Bursa, Turkey, pp. 149–153.

    Google Scholar 

  • Long, H. and Moe, G. (2012). “Preliminary design of bottom-fixed lattice offshore wind turbine towers in the fatigue limit state by the frequency domain method.” Journal of Offshore Mechanics and Arctic Engineering, Vol. 134, No. 3, pp. 1–10, DOI: 10.1115/1.4005200.

    Article  Google Scholar 

  • Long, H., Fischer, T., and Moe, G. (2011). “Lattice towers for bottomfixed offshore wind turbines in the ultimate limit state: Variation of some geometric parameters.” Journal of Offshore Mechanics and Arctic Engineering, Vol. 134, No. 2, pp. 021202–01-021202-13, DOI: 10.1115/1.4004634.

    Article  Google Scholar 

  • Malik, A. and Al-Badi, A. H. (2009). “Economics of wind turbine as an energy fuel saver- A case study for remote application in oman.” Energy, Vol. 34, No. 10, pp. 1573–1578, DOI: 10.1016/j.energy.2009.07.002.

    Article  Google Scholar 

  • Manwell, J. F., McGowen, J. G., and Rogers, A. L. (2010). Wind energy explained: Theory, design and application, John Wiley & Sons, New York, NY.

    Google Scholar 

  • Mathakari, S., Gardoni, P., Agarwal, P., Raich, A., and Haukaas, T. (2007). “Reliability-based optimal design of electrical transmission towers using multi-objective genetic algorithms.” Computer-Aided Civil and Infrastructure Engineering, Vol. 22, No. 4, pp. 282–292, DOI: 10.1111/j.1467-8667.2007.00485.x.

    Article  Google Scholar 

  • Mijailovi, R. and Kastratoviæ, G. (2009). “Cross-section optimization of tower crane lattice boom.” Meccanica, Vol. 44, No. 5, pp. 599–611, DOI: 10.1007/s11012-009-9204-4.

    Article  MathSciNet  Google Scholar 

  • Milborrow, D. (2006). “Operation and maintenance costs compared and revealed.” Wind Stats, Vol. 19, No. 3.

    Google Scholar 

  • Miner, S. (2012). Overview of the wind energy industry, American Wind Energy Association (AWEA).

    Google Scholar 

  • Molde, H. (2012). Simulation-based optimization of lattice support structures for offshore wind energy, Department of Civil and Transport Engineering, Norwegian University of Science and Technology.

    Google Scholar 

  • Muda, Z. C., Mustapha, K. N., Omar, R. C., Usman, F., Alam, M. A., and Thiruchelvam, S. (2013). “Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm.” IOP Conference Series: Earth and Environmental Science, Vol. 16, No. 1, pp. 012023, DOI: 10.1088/1755-1315/16/1/012023.

    Article  Google Scholar 

  • Musgrove, P. J. (1987). “Wind energy conversion: Recent progress and future prospects.” Solar and Wind Technology, Vol. 4, No. 1, pp. 37–49, DOI: 10.1016/0741-983X(87)90006-3.

    Article  Google Scholar 

  • Petersen, B., Pollack, M., Connell, B., Greely, D., Davis, D., Slavik, C., and Goldman, B. (2010). Evaluate the effect of turbine period of vibration requirements on structural design parameters: Technical report of findings, M10PC00066-8, Applied Physical Sciences Corp., Groton, CT.

    Google Scholar 

  • Petersen, E. L., Mortensen, N. G., Landberg, L., Højstrup, J., and Frank, H. (1997). Wind power meteorology, Riso-I-1206(EN), Roskilde, Denmark.

    Google Scholar 

  • Plevris, V. and Papadrakakis, M. (2011). “A hybrid particle swarmgradient algorithm for global structural optimization.” Computer-Aided Civil and Infrastructure Engineering, Vol. 26, No. 1, pp. 48–68, DOI: 10.1111/j.1467-8667.2010.00664.x.

    Google Scholar 

  • Poore, R. and Walford, C. (2008). Development of an operations and maintenance cost model to identify cost of energy savings for low wind speed turbines, Rep. No. NREL/SR-500-40581, National Renewable Energy Laboratory, Seattle, WA.

    Book  Google Scholar 

  • Power Line Systems (2012). PLS-TOWER, Madison, Wisconsin, USA.

    Google Scholar 

  • Prowell, I., Elgamal, A., Romanowitz, H., Duggan, J. E. and Jonkman, J. (2010). Earthquake response modeling for a parked and operating megawatt-scale wind turbine, Rep. No. NREL/TP-5000-48242, National Renewable Energy Laboratory, Golden, CO.

    Book  Google Scholar 

  • Prowell, I., Uang, C.-M. and Elgamal, A. (2011). Shake table test of a utility-scale wind turbine, Rep. No. SSRP-10-06, Department of Structural Engineering, Universisty of California, San Diego, CA.

    Google Scholar 

  • Raghavendra, T. (2012). “Computer aided analysis and structural optimization of transmission line tower.” International Journal of Advanced Engineering Technology, Vol. 3, No. 3, pp. 44–50.

    Google Scholar 

  • Robeson, S. M. and Shein, K. A. (1997). “Spatial coherence and decay of wind speed and power in the north-central united states.” Physical Geography, Vol. 18, No. 6, pp. 479–495, DOI: 10.1080/02723646.1997.10642631.

    Google Scholar 

  • Sarma, K. and Adeli, H. (2000). “Fuzzy genetic algorithm for optimization of steel structures.” Journal of Structural Engineering, Vol. 126, No. 5, pp. 596–604, DOI: 10.1061/(ASCE)0733-9445(2000)126:5(596).

    Article  Google Scholar 

  • Shea, K. and Smith, I. (2006a). “Improving full-scale transmission tower design through topology and shape optimization.” Journal of Structural Engineering, Vol. 132, No. 5, pp. 781–790, DOI: 10.1061/(ASCE)0733-9445(2006)132:5(781).

    Article  Google Scholar 

  • Shea, K. and Smith, I. F. C. (2006b). “Improving full-scale transmission tower design through topology and shape optimization.” Journal of Structural Engineering, Vol. 132, No. 5, pp. 781–790, DOI: 10.1061/(Asce)0733-9445(2006)132:5(781).

    Article  Google Scholar 

  • Sivakumar, P., Rajaraman, A., Samuel Knight, G. and Ramachandramurthy, D. (2004). “Object-oriented optimization approach using genetic algorithms for lattice towers.” Journal of Computing in Civil Engineering, Vol. 18, No. 2, pp. 162–171, DOI: 10.1061/(ASCE)0887-3801(2004)18:2(162).

    Article  Google Scholar 

  • SteelBenchmarker (2013). Price history, tables and charts, http://steelbenchmarker.com/.

    Google Scholar 

  • Sterzinger, G. and Svrcek, M. (2004). Wind turbine development: Location of manufacturing activity, Renewable Energy Policy Project (REPP).

    Google Scholar 

  • Taniwaki, K. and Ohkubo, S. (2004). “Optimal synthesis method for transmission tower truss structures subjected to static and seismic loads.” Structural and Multidisciplinary Optimization, Vol. 26, No.6, pp. 441–454, DOI: 10.1007/s00158-003-0367-7.

    Article  Google Scholar 

  • Touma, J. S. (1977). “Dependence of the wind profile power law on stability for various locations.” Journal of the Air Pollution Control Association, Vol. 27, No. 9, pp. 863–866, DOI: 10.1080/00022470.1977.10470503.

    Article  Google Scholar 

  • Turbowind Energy (2013). T400 wind turbine, www.turbowindenergy.com.

    Google Scholar 

  • Umesha, P., Venuraju, M., Hartmann, D., and Leimbach, K. (2007). “Parallel computing techniques for sensitivity analysis in optimum structural design.” Journal of Computing in Civil Engineering, Vol. 21, No. 6, pp. 463–477, DOI: 10.1061/(ASCE)0887-3801(2007)21:6(463).

    Article  Google Scholar 

  • van den Berg, G. P. (2008). “Wind turbine power and sound in relation to atmospheric stability.” Wind Energy, Vol. 11, No. 2, pp. 151–169, DOI: 10.1002/we.240.

    Article  Google Scholar 

  • Visweswara Rao, G. (1995). “Optimum designs for transmission line towers.” Computers & Structures, Vol. 57, No. 1, pp. 81–92, DOI: 10.1016/0045-7949(94)00597-V.

    Article  Google Scholar 

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Authors and Affiliations

  1. Dept. of Civil and Environmental Engineering, University of Houston, Houston, TX, 77204-4003, USA

    Bora Gencturk & Arezou Attar

  2. MITENG - Mitas Engineering, Inc., Eski Guvercinlik Yolu 113 Gazi, 06560, Ankara, Turkey

    Cenk Tort

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  1. Bora Gencturk
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Gencturk, B., Attar, A. & Tort, C. Selection of an optimal lattice wind turbine tower for a seismic region based on the Cost of Energy. KSCE J Civ Eng 19, 2179–2190 (2015). https://doi.org/10.1007/s12205-014-1428-8

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