Lokasi Pembangunan Pembangkit Listrik Tenaga Bayu Menggunakan Metode SIG di Provinsi Gorontalo
Article Sidebar
Main Article Content
Abstract
An analytical study is conducted on the potential of wind energy in Gorontalo Province for wind plant development considering that many developing countries had done so. Wind speed in each region in Gorontalo Province was statistically analyzed, identified potential areas, and calibrated wind speed to wind power density. Based on KTA value it results 3 category, namely good (20 watt/meter2 - 23 watt/meter2), enough (12 watt/meter2 - 20 watt/meter2) and poor (7watt/meter2 - 12 watt/meter2). Then only the KTA value in the good and enough category are used as the land suitability standard. Multi criteria used here is buffering technique by giving a distance between land that can be built by wind plant and land that cannot be built by wind plant. There are 6 layers used in multi criteria, 4 layers use buffering techniques (land use and land cover, land sanctuary, road and public transport terminal), while the other 2 are reclass (lereng and KTA). GIS is used for mapping the distribution of land suitability with the overlay and separation method. The results, total area of land suitability start from 1 hectar until 3.413 hectars. There are ten sub-disctricts which have land suitability more than 1.200 hectars, namely Kwandang, Dulupi, Anggrek, Bongomeme, Tibawa, Pulubala, Wonosari, Sumalata, Boliyohuto and Paguyaman (largest to smallest).
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
With the receipt of the article by the Jurnal Azimut Editorial Board and the decision to be published, then the copyright regarding the article will be diverted to Jurnal Azimut.
Geography Department, Universitas Tamansiswa Padang as the publisher of Jurnal Azimut hold the copyright regarding all the published articles in this journal.
Geography Department, Universitas Tamansiswa Padang has the right to multiply and distribute the article and every author is not allowed to publish the same article that was published in this journal.
References
Azadeh, A., Ghaderi, S. F., & Nasrollahi, M. R. (2011). Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis. Renewable Energy, 36(5), 1621–1631. https://doi.org/10.1016/j.renene.2010.11.004
Baffoe, P. E., & Sarpong, D. (2016). Selecting Suitable Sites for Wind Energy Development in Ghana. Ghana Mining Journal, 16(1), 8. https://doi.org/10.4314/gm.v16i1.2
Bandoc, G., Prăvălie, R., Patriche, C., & Degeratu, M. (2018). Spatial assessment of wind power potential at global scale. A geographical approach. Journal of Cleaner Production, 200, 1065–1086. https://doi.org/10.1016/j.jclepro.2018.07.288
Bataineh, K. M., & Dalalah, D. (2013). Assessment of wind energy potential for selected areas in Jordan. Renewable Energy, 59, 75–81. https://doi.org/10.1016/j.renene.2013.03.034
Chamanehpour, E., Ahmadizadeh &Akbarpour. (2017). Site selection of wind power plant using multi-criteria decision-making methods in GIS: A case study. Computational Ecology and Software, 7(2), 49–64. Retrieved from http://www.iaees.org/publications/journals/ces/articles/2017-7(2)/multi-criteria-decision-making-methods-in-GIS.pdf
Ditjen EBTKE. (2016). Rencana Strategis Ditjen EBTKE Kementerian Energi dan Sumber Daya Mineral. Journal Energi, 02, 100. Retrieved from www.esdm.go.id
Hardianto, T., Supeno, B., Saleh, A., Setiawan, D. K., Gunawan, & Indra, S. (2017). Potential of Wind Energy and Design Configuration of Wind Farm on Puger Beach at Jember Indonesia. Energy Procedia, 143, 579–584. https://doi.org/10.1016/j.egypro.2017.12.730
Herrero-Novoa, C., Pérez, I. A., Sánchez, M. L., GarcÃa, M. Ã., Pardo, N., & Fernández-Duque, B. (2017). Wind speed description and power density in northern Spain. Energy, 138, 967–976. https://doi.org/10.1016/j.energy.2017.07.127
Khanjarpanah, H., & Jabbarzadeh, A. (2019). Sustainable wind plant location optimization using fuzzy cross-efficiency data envelopment analysis. Energy, 1004–1018. https://doi.org/10.1016/j.energy.2018.12.077
Kementrian ESDM. (2015). Renstra KEESDM 2015-2019. Physica C: Superconductivity and Its Applications, 325(3–4), 127–135. https://doi.org/10.1016/S0921-4534(99)00502-X
Liu, F., Sun, F., Liu, W., Wang, T., Wang, H., Wang, X., & Lim, W. H. (2019). On wind speed pattern and energy potential in China. Applied Energy, 236(June 2018), 867–876. https://doi.org/10.1016/j.apenergy.2018.12.056
Luankaeo, S., & Tirawanichakul, Y. (2017). Assessment of Wind Energy Potential in Prince of Songkla University (South Part of Thailand): Hatyai campus. Energy Procedia, 138, 704–709. https://doi.org/10.1016/j.egypro.2017.10.204
Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2011). Wind Characteristics and Resources. Wind Energy Explained (Vol. 2).https://doi.org/10.1002/9781119994367.ch2
Martosaputro, S., & Murti, N. (2014). Blowing the wind energy in Indonesia. Energy Procedia, 47, 273–282. https://doi.org/10.1016/j.egypro.2014.01.225
Miller, A., & Li, R. (2014). A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA. ISPRS International Journal of Geo-Information, 3(3), 968–979. https://doi.org/10.3390/ijgi3030968
Oner, Y., Ozcira, S., Bekiroglu, N., & Senol, I. (2013). A comparative analysis of wind power density prediction methods for Çanakkale, Intepe region, Turkey. Renewable and Sustainable Energy Reviews, 23, 491–502. https://doi.org/10.1016/j.rser.2013.01.052
Pamucar, D., Gigovic, L., Bajic, Z., & Janoševic, M. (2017). Location selection for wind farms using GIS multi-criteria hybrid model: An approach based on fuzzy and rough numbers. Sustainability (Switzerland), 9(8). https://doi.org/10.3390/su9081315
Shoaib, M., Siddiqui, I., Rehman, S., Khan, S., & Alhems, L. M. (2019). Assessment of wind energy potential using wind energy conversion system. Journal of Cleaner Production, 216, 346–360. https://doi.org/10.1016/j.jclepro.2019.01.128
William, C.W. (2011). Land use, land conservation, and wind energy development outcomes in New England. dissertation. University of Michigan.