Yusril Nurhikam, - (2023) DESAIN HYBRID RENEWABLE ENERGY SYSTEMS BERBASIS METODE PENGAMBILAN KEPUTUSAN MULTI KRITERIA CRITIC-TOPSIS. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Peningkatan kebutuhan energi listrik mendorong pengembangan Sistem Energi Terbarukan Hibrida (HRES) di negara-negara berkembang dan daerah terpencil, Kelangkaan energi menjadi isu global utama saat ini. Hal ini mendorong masyarakat dunia untuk beralih ke sumber energi terbarukan, mengingat semakin menipisnya bahan bakar fosil dan ancaman pemanasan global. Namun, energi terbarukan memiliki kelemahan utama pada sifat stokastiknya, yang membuatnya tidak dapat diprediksi dan kurang dapat diandalkan. HRES hadir sebagai solusi dengan menggabungkan beberapa sumber energi terbarukan untuk mengatasi kelemahan dari satu sumber dengan sumber yang lain. Meskipun memiliki keunggulan seperti fleksibilitas dan polusi rendah, energi terbarukan tidaklah tanpa dampak lingkungan, pengembangan energi terbarukan perlu memperhatikan dampak lingkungan dan prinsip pembangunan berkelanjutan. Penelitian ini bertujuan untuk mencari konfigurasi sistem energi terbarukan hibrida paling optimal di kawasan IKN Nusantara. Pendekatan Geo spasial dilakukan untuk mengumpulkan informasi relevan, termasuk data potensi energi terbarukan seperti radiasi matahari, potensi hydro power, dan potensi biomassa. Perangkat lunak Hybrid optimization model for electric renewables (HOMER) dipergunakan dalam mendesain HRES, dan outputnya dioptimalkan dengan metode Multi Criteria Decision Making (MCDM) dimana hasil optimasi menunjukan Desain 4 menjadi konfigurasi paling optimal, ditinjau dari aspek energi dan lingkungan dengan nilai kedekatan relatif terhadap solusi ideal sebesar 0.8566. Dengan demikian penerapan MCDM dalam menentukan konfigurasi terbaik HERS di kawasan IKN Nusantara layak dipertimbangkan untuk dikembangkan dalam penelitian lebih lanjut.: The increasing demand for electrical energy encourages the development of hybrid renewable energy systems (HRES) in developing countries and remote areas. Energy scarcity is a major global issue today. This encourages the world community to switch to renewable energy sources, given the depletion of fossil fuels and the threat of global warming. However, renewables have a major drawback in their stochastic nature, which makes them unpredictable and less reliable. HRES comes as a solution by combining several renewable energy sources to overcome the weaknesses of one source with another. Despite having advantages such as flexibility and low pollution, renewable energy has an environmental impact. The development of renewable energy needs to pay attention to environmental impacts and the principles of sustainable development. This study aims to find the most optimal configuration of hybrid energy systems in the IKN Nusantara area. A geo-spatial approach is carried out to collect relevant information, including data on renewable energy potentials such as solar radiation, hydropower potential, and biomass potential. The Hybrid Optimization Model for Electric Renewables (HOMER) software is used in designing the HRES, and the output is optimized using the Multi Criteria Decision Making (MCDM) method. The optimization results show Design 4 to be the most optimal configuration in terms of energy and environmental aspects, with a relative closeness value to the ideal solution of 0.8566. Thus, the application of MCDM in determining the best HERS configuration in the IKN Nusantara area is worthy of consideration for further research.
Item Type: | Thesis (S1) |
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Additional Information: | ID SINTA Dosen Pembimbing Ade Gafar Abdullah: 257412 Dadang Lukman Hakim: 5994748 |
Uncontrolled Keywords: | HRES, Energi, Lingkungan, GIS, HOMER, CRITIC, TOPSIS, Energy, Environment |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Fakultas Pendidikan Teknologi dan Kejuruan > Jurusan Pendidikan Teknik Elektro > Program Studi Teknik Tenaga Elektrik |
Depositing User: | Yusril Nurhikam |
Date Deposited: | 05 Sep 2023 01:27 |
Last Modified: | 05 Sep 2023 05:57 |
URI: | http://repository.upi.edu/id/eprint/101585 |
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