Sensitivity analysis of the economic-financial feasibility study of the Punta de Maisí Wind Farm project.

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Luis Garcia-Faure
Gustavo Fernández-Salva
Lorenzo Enriquez-Garcia
Monserrath Padilla Muñoz

Abstract

In Maisí municipality, the easternmost municipality of Cuba, belonging to Guantánamo province, at coordinates 20,270 N and 74,220 W approximately, pre-feasibility studies are being carried out for a wind farm project in two sites known as Punta Fraile and Punta Quemado. Two variants are proposed. The objective of this work was to perform sensitivity analyses on the profitability of the parameters susceptible to change, in order to determine the limits within which they can move without the project becoming unprofitable. For the studies, a program was designed for pure and hybrid renewable sources; it has a module for the estimation of the capital cost based on the relevant parameters of the project, which guarantees equal conditions in the analysis of variants. The economicfinancial evaluation is carried out using four fundamental criteria that complement each other. The results are given in the form of a comparative table of variants and influential sensitivity parameters.

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How to Cite
Garcia-Faure, L., Fernández-Salva, G., Enriquez-Garcia, L., & Padilla Muñoz, M. (2023). Sensitivity analysis of the economic-financial feasibility study of the Punta de Maisí Wind Farm project. Journal of Business and Entrepreneurial Studie, 7(1). https://doi.org/10.37956/jbes.v7i1.323
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References

Apgar, H. (n.d.). The Legacy of Parametric Estimating (CV01). Retrieved January 5, 2023,

from www.iceaaonline.com

Burton, T., Jenkins, N., Sharpe, D., & Bossanyi, E. (2011). Wind Energy Handbook,

Second Edition. In L. John Wiley & Sons (Ed.), Wind Energy Handbook, Second

Edition. John Wiley and Sons. https://doi.org/10.1002/9781119992714

Enriquez García, L. A., & García Faure, L. J. (2018). Engineering economics / Anthony J.

Tarquin, Leland T. Blank. Energy Engineering, 816.

http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1815-59012018000100007

Enriquez, L. A., Garcia, Luis. J., Miranda, C., & Jordán, A. R. (2019). Influence of Wind

Farm Structure on Cost and Profitability. Información Tecnológica, 30(5), 37-46.

https://doi.org/10.4067/S0718-07642019000500037.

García, E., Faure, G., Ortíz, O., & Cargua, M. (2016a). Algorithm For The TechnoEconomic Optimization Applied In Projects Of Wind Parks Of Latin America. IOSR

Journal of Mechanical and Civil Engineering, 13(04), 60-65.

https://doi.org/10.9790/1684-13040646065. https://doi.org/10.9790/1684-

García, E., Faure, G., Ortíz, O., & Cargua, M. (2016b). Parametric Estimate Cost of

Wind Farms in Latin America and the Caribbean. IOSR Journal of Mechanical and

Civil Engineering, 13(04), 66-70. https://doi.org/10.9790/1684-13040646670.

https://doi.org/10.9790/1684-13040646670

ICEAA (2019, April 5). International Cost Estimating and Analysis Association. Iceaaonline.

https://www.iceaaonline.com/

Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2010). Wind Energy Explained: Theory,

Design and Application.

National Aeronautic and Space Administration NASA. (2015). Cost Estimating Handbook

(NASA, Ed.; 4th ed.). http://www.nasa.gov/content/cost-estimating-handbook

RENEWABLE POWER GENERATION COSTS IN 2018. (2019). www.irena.org

Roque-Rodríguez, A., Alonso-Díaz, Y., & Soltura-Morales, R. (2019). Wind resource

estimation over Cuba: WASP model vs WEST model. Wind Engineering, 43(3), 277-

https://doi.org/10.1177/0309524X18780400.

Siemens (2020). Annual report 2020. https://www.siemensgamesa.com/en-int/-

/media/siemensgamesa/downloads/en/investors-and-shareholders/annualreports/2020/siemens-gamesa-renewable-energy-annual-report-2020-en.pdf

VGB PowerTech (2019). VGB PowerTech Medienverzeichnis Media Catalogue 2019/II.

https://es.calameo.com/books/0058126086385f40bcf70