Renewable energy in Taiwan is vital to the future’s finite resources and an island that heavily relies on 97.79% of imported products for their energy supply also has goals to increase their renewable energy supply to 20% by 2025. Taiwan’s efforts have been based on large-scale implementations of solar and wind energy. Providing a template for small-scale energy systems for communities in rural areas in Taiwan, specifically for this project in the southwest, can significantly help in increasing the country’s renewable energy resources in a collective way. The study is based on comparing a wind energy system and solar PV system to determine which best meets the village’s monthly demand, in addition to creating a cost-effective system for the village members. Historically, in the region and other rural areas, community member’s voices are often not heard, so by implementing a system for their own will not only allow them energy independence but also to benefit them financially. The System Advisory Model software offers users to conduct a technical and economic model of various renewable energy including wind and solar. A single owner financial model was simulated for a wind and solar energy separately. Each of the system underwent a type of parameter optimization that was based on maximizing the economic and energy performance. The wind energy system was optimized based on the different turbine rated power and number of turbines to meet a 2-MW wind farm for the community. For the solar PV system, optimization of the 2-MW system’s configuration to optimal angles to reach a maximum energy production as well as finding a suitable inverter sizing and DC to AC ratio in the process. Financial optimization included maximizing the internal rate of return at the end of the analysis period, while maintaining a set of parameters for comparison including the net present value, annual and monthly energy production, and levelized cost of energy. Once the systems went through their respectable optimizations, the top 4 selected choices were compared to Dingshan’s monthly energy demand to ensure the renewable energy systems met the village’s energy needs. As a result of the final comparison to the demand and between the two different systems, the wind energy system with a Gamesa G114 2.0-MW turbine was selected to best serve Dingshan Village because the energy production met Dingshan’s monthly demand and had a competitive LCOE. In addition to meeting the demand, the turbine produced over the required limit by more than five times the demand during the wintertime, so this excess energy can be metered and sold into the grid at the set FIT price, detailed in Appendix A, for an onshore system over 30kW. As a result of implemented the selected turbine, there will also be a rise in possible concerns for wildlife habitat in the wetlands, so further studies would include the environmental impact of a large utility scale turbine. In conclusion, bringing this wind energy system to the village will allow community to financially benefit from the system as well as incorporate a new sustainable and green system for their energy needs for the future.

[1] Bureau of Energy Ministry of Economic Affairs. "Energy Statistical Annual Reports." https://www.moeaboe.gov.tw/ECW/english/content/ContentLink.aspx?menu_id=1540 (accessed September 10, 2021).
[2] Execuative Yuan. "Four-year Wind Power Promotion Plan." Department of Information Services. https://english.ey.gov.tw/News3/9E5540D592A5FECD/d603a1bf-9963-4e53-a92b-e6520a3d93ff (accessed December 1, 2021).
[3] Excecutive Yuan. "Promotion of solar energy." Department of Information Services. https://english.ey.gov.tw/News3/9E5540D592A5FECD/777fcee7-90db-4b72-9927-573eecf9ea9e (accessed December 1, 2021).
[4] Taipower. "Taiwan Grid Connection." https://hcweb.taipower.com.tw/geohc/ (accessed September 10, 2021).
[5] Cathay Financial Holdings, "Cathay Pacific renewed its innovation and established a green energy fund to create a green energy charity 2.0," ed, 2019.
[6] Jiali Household Registration Office. "Neighborhood Population in Qigu District, Tainan City." https://jiali.tainan.gov.tw/News_Population.aspx?n=18212&sms=18433&sn=7883721 (accessed 04-20, 2022).
[7] Ministry of Economic Affairs. "Electricity Sales Information in all counties, cities, and villages." https://www.taipower.com.tw/tc/sell_amt_city/sell_amt1.aspx (accessed December 7, 2021).
[8] T. J. Chang, C. L. Chen, Y. L. Tu, H. T. Yeh, and Y. T. Wu, "Evaluation of the climate change impact on wind resources in Taiwan Strait," Energy Conversion and Management, vol. 95, pp. 435-445, 2015, doi: 10.1016/j.enconman.2015.02.033.
[9] W. H. Lin, J. J. Miau, Y. R. Cheng, T. S. Leu, and Y. S. Tsai, "A study on the characteristics of the wind turbulence offshore in Changhua area," International Conference of Advanced Technology Innovation, 2019.
[10] C. D. Yue and S. S. Wang, "GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan," Energy Policy, vol. 34, no. 6, pp. 730-742, 2006, doi: 10.1016/j.enpol.2004.07.003.
[11] M. Arifujjaman, M. T. Iqbal, and J. E. Quaicoe, "Energy capture by a small wind-energy conversion system," Applied Energy, vol. 85, no. 1, pp. 41-51, 2008, doi: 10.1016/j.apenergy.2007.06.002.
[12] W. Kuczyński, K. Wolniewicz, and H. Charun, "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, vol. 14, no. 22, 2021, doi: 10.3390/en14227740.
[13] C.-D. Yue, Chung-Ming, and E. M. L. Liou, "A transition toward a sustainable energy future: feasibility assessment and development strategies of wind power in Taiwan," Energy Policy, vol. 29, pp. 951-963, 2001.
[14] L. Ferrer-Marti, A. Garwood, J. Chiroque, R. Escobar, J. Coello, and M. Castro, "A Community Small-Scale Wind Generation Project in Peru," Wind Engineering, vol. 34, no. 3, pp. 277-288, 2010.
[15] J.-M. Ling and K. Lublertlop, "Economic Analysis of Wind Turbine Installation in Taiwan," Mathematical Problems in Engineering, vol. 2015, pp. 1-9, 2015, doi: 10.1155/2015/614514.
[16] W. S. Ou, K. T. Huang, and C. C. Liao, "Global Radiation for Solar Architecture Design of Taiwan," Applied Mechanics and Materials, vol. 44-47, pp. 1853-1861, 2010, doi: 10.4028/www.scientific.net/AMM.44-47.1853.
[17] C.-N. Wang, N.-A.-T. Nguyen, T.-T. Dang, and J. Bayer, "A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan," IEEE Access, vol. 9, pp. 75509-75525, 2021, doi: 10.1109/access.2021.3081995.
[18] C.-C. Wei, "Predictions of Surface Solar Radiation on Tilted Solar Panels using Machine Learning Models: A Case Study of Tainan City, Taiwan," Energies, vol. 10, no. 10, 2017, doi: 10.3390/en10101660.
[19] D. O. Akinyele and R. K. Rayudu, "Comprehensive techno-economic and environmental impact study of a localised photovoltaic power system (PPS) for off-grid communities," Energy Conversion and Management, vol. 124, pp. 266-279, 2016, doi: 10.1016/j.enconman.2016.07.022.
[20] S.-Y. Liu, Y.-H. Perng, and Y.-F. Ho, "The effect of renewable energy application on Taiwan buildings: What are the challenges and strategies for solar energy exploitation?," Renewable and Sustainable Energy Reviews, vol. 28, pp. 92-106, 2013, doi: 10.1016/j.rser.2013.07.018.
[21] C.-D. Yue and G.-R. Huang, "An evaluation of domestic solar energy potential in Taiwan incorporating land use analysis," Energy Policy, vol. 39, no. 12, pp. 7988-8002, 2011, doi: 10.1016/j.enpol.2011.09.054.
[22] T. Ferry. (2016) Taiwan's solar boost. PV Magazine. 32-35. Available: https://cloud.taiwantradeshows.com.tw/2016/pv/news/201612-PV-Magazine.pdf
[23] A. M.-Z. Gao, C.-H. Huang, J.-C. Lin, and W.-N. Su, "Review of recent offshore wind power strategy in Taiwan: Onshore wind power comparison," Energy Strategy Reviews, vol. 38, 2021, doi: 10.1016/j.esr.2021.100747.
[24] Bureau of Energy Ministry of Economic Affairs. "Official Announcement of the 2022 Feed-in-Tariff (FIT) rates for Renewable Energy Electric Power." https://www.moeaboe.gov.tw/ECW/english/news/News.aspx?kind=6&menu_id=958&news_id=25032 (accessed May 24, 2022).
[25] W. W. Lien, "A Landscape Approach to the Conflicts of "Greens"," Master of Landscape Architecture, Landscape Architecture, University of Oregon, 2020.
[26] Ministry of Economic Affairs. "Renewable Energy Development Act." https://law.moj.gov.tw/ENG/LawClass/LawAll.aspx?pcode=J0130032 (accessed 5-27, 2022).
[27] C. Davidson, D. Steinberg, and R. Margolis, "Exploring the market for third-party-owned residential photovoltaic systems: insights from lease and power-purchase agreement contract structures and costs in California," Environmental Research Letters, vol. 10, no. 2, 2015, doi: 10.1088/1748-9326/10/2/024006.
[28] Y. Zeng, D. Klabjan, and J. Arinez, "Distributed solar renewable generation: Option contracts with renewable energy credit uncertainty," Energy Economics, vol. 48, pp. 295-305, 2015, doi: 10.1016/j.eneco.2014.12.013.
[29] National Renewable Energy Laboratory. System Advisory Model [Online] Available: https://sam.nrel.gov/
[30] S. Behera, S. Sahoo, and B. B. Pati, "A review on optimization algorithms and application to wind energy integration to grid," Renewable and Sustainable Energy Reviews, vol. 48, pp. 214-227, 2015, doi: 10.1016/j.rser.2015.03.066.
[31] M. Z. b. Mohd Zain, J. Kanesan, J. H. Chuah, S. Dhanapal, and G. Kendall, "A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization," Applied Soft Computing, vol. 70, pp. 680-700, 2018, doi: 10.1016/j.asoc.2018.06.022.
[32] Y. Sawle, S. C. Gupta, and A. K. Bohre, "Socio-techno-economic design of hybrid renewable energy system using optimization techniques," Renewable Energy, vol. 119, pp. 459-472, 2018, doi: 10.1016/j.renene.2017.11.058.
[33] H. Liu, Y. Li, Z. Duan, and C. Chen, "A review on multi-objective optimization framework in wind energy forecasting techniques and applications," Energy Conversion and Management, vol. 224, 2020, doi: 10.1016/j.enconman.2020.113324.
[34] S. Sinha and S. S. Chandel, "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, vol. 50, pp. 755-769, 2015, doi: 10.1016/j.rser.2015.05.040.
[35] M. K. Benhachmi, D. Ouazar, A. Naji, A. H.-D. Cheng, and K. E. Harrouni, "Optimal Managment in Saltwater-Intruded Coastal Aquifers By Simple Genetic Algorithm," Research Gate, 2001.
[36] A. Kornelakis, "Multiobjective Particle Swarm Optimization for the optimal design of photovoltaic grid-connected systems," Solar Energy, vol. 84, no. 12, pp. 2022-2033, 2010, doi: 10.1016/j.solener.2010.10.001.
[37] J. Freeman, J. Jorgenson, P. Gilman, and T. Ferguson, "Reference Manual for the System Advisory Model's wind power performance model," 2014.
[38] Department of Atmospheric Sciences. "Data Bank for Atmospheric and Hydrologic Research." https://dbar.pccu.edu.tw/Default.aspx (accessed December 7, 2021).
[39] European Commission. "PVGIS Photovoltaic Geographic Information System." https://re.jrc.ec.europa.eu/pvg_tools/en/tools.html#TMY (accessed 2022).
[40] L. Fingersh, M. Hand, and A. Laxson, "Wind Turbine Design Cost and Scaling Model," 2006. Accessed: April 14, 2022.
[41] National Renewable Energy Laboratory, "U.S. Solar Photovoltaic System and Energy Storage Cost Benchmark: Q1 2020," NREL/TP-6A20-77324, 2021.