Wind Energy Feasibility Study of Seven Potential Locations in Indonesia

- Ismail (1), Asrul Harun Ismail (2), Gama Harta Nugraha Nur Rahayu (3)
(1) Department of Mechanical Engineering, Universitas Pancasila, Srengseng Sawah, Jakarta, 12640, Indonesia
(2) Department of Industrial Engineering, Universitas Pancasila, Srengseng Sawah, Jakarta, 12640, Indonesia
(3) Department of Industrial Engineering, Universitas Pancasila, Srengseng Sawah, Jakarta, 12640, Indonesia
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How to cite (IJASEIT) :
Ismail, -, et al. “Wind Energy Feasibility Study of Seven Potential Locations in Indonesia”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, Oct. 2020, pp. 1970-8, doi:10.18517/ijaseit.10.5.10389.
This study evaluated seven potential locations for wind energy in Indonesia. This study applied economic analysis using static analysis and the Monte Carlo simulation. The later was used to measure the financial indicators and then to analyze the sensitivity of economic uncertainties. The result findings show that in term of annual energy production volume among the seven selected locations, Jeneponto location has the highest value of 4,339,003.2 MWh with a capacity factor of 25.22% and Bantul location has the lowest value of 526,476 MWh with a capacity factor of 16.51%. According to economic uncertainty analysis, the highest NPV and attractive IRR values with high deviation standard values will be interesting to the risk-taking investors. Otherwise, the lowest NPV and IRR values fit the risk of avoiding-type investors due to its low deviation standard values. Based on sensitivity analysis, the increase of average NPV and IRR values of all seven locations are influenced positively by first 5-year of the selling price, which contributes approximately 30% and 50% of NPV and IRR’s percentage change. By contrast, the decrease in average NPV values of all seven locations is influenced by the discount rate, which contributes approximately 15% of NPV’s percentage change. Meanwhile, the decrease in average IRR is influenced by capital investment cost, which contributes approximately 20% of IRR’s percentage change. Policymakers can further consider the parameters mentioned above.

M. H. Hasan, T. M. I. Mahlia, and H. Nur, “A review on energy scenario and sustainable energy in Indonesia,” Renew. Sustain. Energy Rev., vol. 16, no. 4, pp. 2316-2328, 2012.

ADB, “Tarif untuk pembangkit tenaga angin dan panel surya di indonesia [Tariff for wind power and solar panels in Indonesia],” 2015. [Online]. Available: Wind RooftopPV tariffs - Bahasa Final Report.pdf. [Accessed: 11-Jul-2016].

Ismail, S. Kamal, Purnomo, Sarjiya, and B. Hartono, “Economic Feasibility of Wind Farm: A Case Study for Coastal Area in South Purworejo, Indonesia,” Energy Procedia, vol. 65, pp. 146-154, 2015.

M. Maulidia, P. Dargusch, P. Ashworth, and F. Ardiansyah, “Rethinking renewable energy targets and electricity sector reform in Indonesia: A private sector perspective,” Renew. Sustain. Energy Rev., vol. 101, no. November 2018, pp. 231-247, 2019.

S. Ver-Bruggen, “South ­ east Asia ­ Modest additions but scene is set for expansion,” Wind Power Monthly, 2013.

S. Martosaputro and N. Murti, “Blowing the Wind Energy in Indonesia,” Energy Procedia, vol. 47, pp. 273-282, 2014.

EBTKE, “Potensi angin di Indonesia [potential for wind energy in Indonesia],” Direktorat jenderal energi baru terbarukan dan konservasi energi, 2016. [Online]. Available: [Accessed: 28-Nov-2016].

E. K. Akpinar and S. Akpinar, “An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics,” Energy Convers. Manag., vol. 46, pp. 1848-1867, 2005.

A. A. Kadhem et al., “Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 7, no. 4, pp. 1248-1254, 2017.

G. Johnson, “Wind Energy Systems,” 2006. [Online]. Available: [Accessed: 12-May-2011].

W. S. de Oliveira and A. J. Fernandes, “Economic Feasibility Applied to Wind Energy Projects,” Int. J. Emerg. Sci., vol. 1, no. 4, pp. 659-681, 2011.

E. S. Hrayshat, “Techno-economic Analysis of Electricity Generation by Means of a Proposed 50 MW Grid-connected Wind Power Plant for Jordan,” Energy Sources, Part B, vol. 4, no. 3, pp. 247-260, 2009.

S. A. Akdag and O. Guler, “Calculation of Wind Energy Potential and Economic Analysis by Using Weibull Distribution — A Case Study from Turkey . Part 1 : Determination of Weibull Parameters,” Energy Sources, Part B, vol. 4, no. 1, pp. 1-8, 2009.

S. Krohn, P.-E. Morthorst, and S. Awerbuch, “The Economics of Wind Energy,” 2009.

R. Kumar, M. Kumar, and S. Deswal, “Analysis of Long - term Energy Option in Offshore Wind : An Investigation of Environmental and Techno-economic Feasibility,” in International Conference on Energy and Environment, 2009, pp. 394-401.

M. Kenisarin, V. M. Karsh, and M. Caglar, “Wind power engineering in the world and perspectives of its development in Turkey,” Renew. Sustain. Energy Rev., vol. 10, pp. 341-369, 2006.

EWEA, “Wind Energy - The Facts,” 2009.

M. I. Blanco, “The economics of wind energy,” Renew. Sustain. Energy Rev., vol. 13, pp. 1372-1382, 2009.

A. Vardar and B. í‡etin, “Economic Assessment of the Possibility of Using Different Types of Wind Turbine in Turkey,” Energy Sources, Part B Econ. Planning, Policy, vol. 4, no. 2, pp. 190-198, 2009.

S. Rehman, T. O. Halawani, and M. Mohandes, “Wind power cost assessment at twenty locations in the kingdom of Saudi Arabia,” Renew. Energy, vol. 28, pp. 573-583, 2003.

IEA, Projected Costs of Generating Electricity. 2010.

O. Arslan, “Technoeconomic analysis of electricity generation from wind energy in Kutahya , Turkey,” Energy, vol. 35, no. 1, pp. 120-131, 2010.

R. Thresher, M. Robinson, and P. Veers, “The status and future of wind energy technology,” AIP Conf. Proc., vol. 1044, p. 340, 2008.

R. Wiser et al., “2009 Wind Technologies Market Report 2009 Wind Technologies Market Report Primary authors,” 2010.

M. Erturk, “The evaluation of feed-in tariff regulation of Turkey for onshore wind energy based on the economic analysis,” Energy Policy, vol. 45, pp. 359-367, 2012.

N. Boccard, “Economic properties of wind power,” Energy Policy, vol. 38, pp. 3232-3244, 2010.

BPS, “Indonesia Inflation Rate,” Trading Economics, 2016. [Online]. Available: [Accessed: 23-Nov-2016].

Direktorat Jenderal Pajak, “Indonesia Corporate Tax Rate,” Trading Economics, 2016. [Online]. Available: [Accessed: 23-Nov-2016].

Bank Indonesia, “Indonesia Interest Rate,” Trading Economics, 2016. [Online]. Available: [Accessed: 23-Nov-2016].

G. Mosetti, C. Poloni, and B. Diviacco, “Optimisation of wind turbine positioning in large windfarms by means of a genetic algorithm,” J. Wind Eng. Ind. Aerodyn., vol. 51, pp. 105-116, 1994.

S. A. Grady, M. Y. Hussaini, and M. M. Abdullah, “Placement of wind turbines using genetic algorithms,” Renew. Energy, vol. 30, pp. 259-270, 2005.

G. Marmidis, S. Lazarou, and E. Pyrgioti, “Optimal placement of wind turbines in a wind park using Monte Carlo simulation,” Renew. Energy, vol. 33, pp. 1455-1460, 2008.

I. Mustakerov and D. Borissova, “Wind turbines type and number choice using combinatorial optimisation,” Renew. Energy, vol. 35, pp. 1887-1894, 2010.

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