Life Cycle Cost Analysis of Commercial Onshore Wind Farms in Thailand
Keywords:
Levelized Cost of Electricity; Life Cycle Cost Assessment; Onshore Wind Energy Farm; Wind PowerAbstract
This study presents a comprehensive analysis and comparison of the life cycle cost analysis (LCCA) and the Levelized cost of energy (LCOE) of commercial onshore wind energy farms in Thailand. This study presents data related to installed capacities; the twenty-nine commercial companies of wind turbines; models of wind turbines; scheduled commercial operation dates (SCODs); and commercial operation dates (CODs) of commercial onshore wind energy farms operated in Thailand. The total LCC of the 29 wind energy farms over the whole lifetime of the plant is around 2,718 million USD, whereas the capacity-weighted average of LCC is around 1.803 million USD/MWp. The result of the study shows that the capacity-weighted average of LCOE of all commercial wind energy farms in Thailand over the whole and deducted lifetimes of the plants are 0.0453 USD/kWh and 0.0459 USD/kWh, respectively. The study's results also show that if all 29 wind energy farms delay starting the operation for 12 months, the average LCOE of wind energy farms increases by just 3.07%. These findings show that delay in starting operation would not cause the LCOE of wind energy farms to be significantly higher. However, if all wind energy farms delay starting the operation for 23 months, the LCOE of utility-scale PV plants is lower.
References
Waewsak, J. (2015). Wind Energy Technology. Bangkok, Thailand: ChulaPress
Gamonwet, P., Dhakal, S., & Thammasiri, K. (2017). The impact of renewable energy pricing incentive policies in Thailand. GMSARN International Journal, 11(2), 51–60. Retrieved December 6, 2022, from http://gmsarnjournal.com/home/wp-content/uploads/2017/07/ vol11no2-1.pdf
Taylor, M. (2020). Energy subsidies evolution in the global energy transformation to 2050. (2020). Abu Dhabi, UAE: IRENA. Retrieved December 6, 2022, from https://www.irena.org/ publications/2020/Apr/Energy-Subsidies-2020
Thailand Greenhouse Gas Management Organization (Public Organization). (2017). Project design document. Retrieved December 6, 2022, from https://ghgreduction.tgo.or.th/th/tver-database-and-statistics/t-ver-registered-project/download/763/836/118.html
A Siemens SWT-2.3-101 wind turbine generator [Photograph]. (n.d.). Retrieved December 6, 2022, from https://www.demco.co.th/storage/business/service-business/renewable-energy-works/ west-huaybong -3-wind-farm/west-huaybong-3-wind-farm-3.jpg
A Gamesa G145-4.0 wind turbine generator [Photograph]. (n.d.). Retrieved December 6, 2022, from https://www.bgrimmpower.com/storage/content/power_plants/Renewable_ Power_Plant/ In%20Development/bo-thong-wind-farm-co-ltd.jpg
B.GRIMM POWER. (2021). Bo Thong wind farm. Retrieved December 6, 2022, from https://bgrim.listedcompany.com/newsroom/images/20210819-161835-1.jpg
Vorarat, S. (2019). Total cost of ownership analysis for alternative gasoline and gasoline hybrid electrical vehicle in Thailand. International Journal of Engineering Science and Innovative Technology (IJESIT), 8(2), 23–28. Retrieved December 6, 2022, from http://www.ijesit.com/
Volume%208/Issue%202/IJESIT201902_04.pdf
Short, W., Packey, D., & Holt, T. (1995). A manual for the economic evaluation of energy efficiency and renewable energy technologies. Colorado, USA: National Renewable Energy Laboratory. Retrieved December 6, 2022, from https://www.nrel.gov/docs/legosti/old/5173.pdf
Comello, S., Glenk, G., & Reichelstein, S. (2017). Levelized cost of electricity calculator: a user guide. California, USA: Stanford Graduate School of Business. Retrieved December 6, 2022, https://web.stanford.edu/dept/gsb_circle/cgi-bin/sustainableEnergy/GSB_LCOE_User%20Guide _0517.pdf
International Energy Agency, Nuclear Energy Agency, & Organisation for Economic Co-operation and Development. (2010). Projected costs of generating electricity 2010 edition. Paris, France: International Energy Agency, Nuclear Energy Agency, & Organisation for Economic Co-operation and Development. Retrieved December 6, 2022, from https://www.oecd-nea.org/ upload/docs/application/pdf/2019-12/6819-projected-costs.pdf
The International Renewable Energy Agency. (2022). Renewable power generation costs in 2021. Abu Dhabi, UAE: IRENA. Retrieved December 6, 2022, from https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2022/Jul/IRENA_Power_Generation_Costs_2021.pdf?rev=34c22a4b244d434da0accde7de7c73d8
International Energy Agency. (2021). Thailand power system flexibility study. Paris, France: International Energy Agency. Retrieved December 6, 2022, from https://iea.blob.core.windows.net/ assets/19f9554b-f40c-46ff-b7f5-78f1456057a9/ThailandPowerSystemFlexibilityStudy.pdf
Wiser, R., Boilinger, M., & Lantz, E. (2019). Assessing wind power operating costs in the United States: results from a survey of wind industry experts. Renewable Energy Focus, 30(00), 46-57. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/article/abs/pii/ S1755008419300092
Tantawat, W., Vorarat, S., & Phdungsilp, A. (2022). Assessment of CO2 emissions and costs of decommissioning of commercial onshore wind farms in Thailand. International Energy Journal, 22(4), 415–424. Retrieved December 6, 2022, from http://www.rericjournal.ait.ac.th/index.php/ reric/article/view/2990
Vorarat, S. (2017, January 19-21). Life cycle cost model for estimating and forecasting future budget needs for machinery. ACENS 2017, Asian Conference on Engineering and Natural Sciences, Hokkaido, Japan.
Yeter, B., Garbatov, Y., & Guedes Soares, C. (2019). Risk-based life-cycle assessment of offshore wind turbine support structures accounting for economic constraints. Structure Safety, 81, 101867. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/article/abs/ pii/S0167473018300316
Myhr, A., Bjerkseter, C., Ågotnes, A., & Nygaard, T. (2014). Levelised cost of energy for offshore floating wind turbines in a life cycle perspective. Renewable Energy, 66, 714–728. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/article/pii/ S0960148114000469
Ioannou, A., Angus, A., & Brennan, F. (2018). Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters. Energy Sources Part B: Economics, Planning, and Policy, 13(5), 281–289. Retrieved December 6, 2022, from https://www.tandfonline.com/doi/full/10.1080/15567249.2018.1461150
Filimonova, I., Kozhevin, V., Provornaya, I., Komarova, A., & Nemov, V. (2022). Green energy through the LCOE indicator. Energy Reports, 8, 887–893. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/article/pii/S235248472202100X
Abu-Rumman, A., Muslih, I., & Barghash, M. (2017). Cycle costing of wind generation system. Journal of Applied Research on Industrial Engineering, 4(3), 185–191. Retrieved December 6, 2022, from http://www.journal-aprie.com/article_54726.html
Staffell, I., & Green, R. (2014). How does wind farm performance decline with age?. Renewable Energy, 66, 775–786. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/ article/pii/S0960148113005727
Niyomtham, L., Waewsak, J., Kongruang, C., Chiwamongkhonkarn, S., Chancham, C., & Gagnon, Y. (2022). Wind power generation and appropriate feed-in-tariff under limited wind resource in central Thailand. Energy Reports, 8, 6220-6233. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/article/pii/S2352484722008344
Liao, D., Zhu, S., Correia, J., Jesus, A., Veljkovic, M., & Berto, F. (2022). Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects. Renewable Energy, 200, 724–742. Retrieved December 6, 2022, from https://www.sciencedirect.com/science/ article/abs/pii/S0960148122014525
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 School of Renewable Energy and Smart Grid Technology (SGtech)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All copyrights of the above manuscript, including rights to publish in any media, are transferred to the SGtech.
The authors retain the following rights;
1. All proprietary rights other than copyright.
2. Re-use of all or part of the above manuscript in their work.
3. Reproduction of the above manuscript for author’s personal use or for company/institution use provided that
(a) prior permission of SGtech is obtained,
(b) the source and SGtech copyright notice are indicated, and
(c) the copies are not offered for sale.