OPTIMALISASI KINERJA ENERGI FURNACE KILANG PPSDM MIGAS CEPU MENGGUNAKAN ALGORITMA GENETIK
OPTIMIZING THE ENERGY PERFORMANCE OF THE PPSDM MIGAS CEPU REFINERY FURNACE USING A GENETIC ALGORITHM
DOI:
https://doi.org/10.37525/mz/2023-2/416Keywords:
metoda langsung, optimasi, algoritma genetic, efisiensi energi, Crude oilAbstract
Usaha untuk meningkatkan kinerja Energi peralatan pemanfaat energi secara maksimal sangat diperlukan karena akan mengurangi biaya energi, serta akan berdampak pada pengurangan emisi gas buang dan pemanasan global. Dalam penelitian ini dikembangkan suatu metoda optimasi untuk memaksimalkan kinerja energi furnace pada Kilang PPSDM Migas Cepu. Berdasarkan pengamatan dan pengukuran dan analisis perhitungan metoda langsung dan tidak langsung data operasi kilang tersebut, memperlihatkan bahwa kinerja Furnace 2 dan 3 memiliki efisiensi 47.26 % dan 49.81%. Hasil pengujian menggunakan metoda algoritma genetik diperoleh efisiensi Furnace 2 dan 3 meningkat menjadi 57.12 %. Metoda optimasi menggunakan algoritma genetic dalam penelitian ini menggunakan enam populasi. Populasi tersebut adalah parameter temperature crude oil, jumlah pasokan crude oil, jumlah bahan bakar yang digunakan diolah dengan proses seleksi kromosom, perkawinan silang dan mutasi secara berulang-ulang sehingga mendapatkan populasi terbaik. Populasi terbaik tersebut itulah yang akan menghasilkan nilai efisiensi Furnace terbaik yang mampu mengurangi kerugian energi sebesar 2904 KWH per hari utuk setiap Furnacenya.
References
Rusli, M., Trinurwati, & Bastian Tarigan, F. (2021). Optimasi Kontrol untuk Variabel Flow Rate dan Temperatur Furnace Berbasis Solusi Persamaan Riccati. Jurnal EECCIS, 15(3), 109-114.
Sabarlele, O. (2020). Optimasi Excess Air Furnace F-02 Di Kilng PPSDM Migas Cepu. Kertas Kerja Wajib PEM Akamigas, Agustus 2020.
Priandoko, B. (2007). Pengembangan Kontrol Prediktif Nonlinier menggunakan Optimasi Berbasis Algoritma Genetik Pada Kolom Distilasi. Disertasi Doktor ITB.
Muntini, & Nazzaruddin, Y. Y. (2001). Identification Vehicle Suspension using Genetic Algorithm Technique. Proc.Of Indonesia Germany Conference (IGC) 2001.
Packer, P. (2000). European Refiners should not expect return on fuel-quality investment. Oil and Gas Journal, Nov 2000, 68-69.
Bräysy, O. (2001). Genetic Algorithms for The Vehicle Routing Problem with Time Windows. Retrieved from http://neo.lcc.uma.es/radiaeb/webVRP/index.html?links.html
Wilujeng, A. K. S. (2004). Algoritma Genetika Untuk Penyelesaian Masalah Venhicle Routing. Skripsi FMIPA-Undip, Semarang.
Fitrah, A., Zaky, A., & Purnomo, H. (2012). Penerapan Algoritma Genetika pada Persoalan Pedagang Keliling (TSP). Bandung: ITB.
Kusumadewi, S., & Purnomo, H. (2005). Penyelesaian Masalah Optimasi dengan Teknik-teknik Heuristik. Yogyakarta: Graha Ilmu.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Bambang Priandoko
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright Notice
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright Notice
An author who publishes in the Jurnal Nasional MigasZoom agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgment of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-ShareAlike 4.0 Licence here: https://creativecommons.org/licenses/by-sa/4.0/.
Information
Notice about change in the copyright policy of the journal 'Jurnal Nasional Pengelolaan Energi MigasZoom' : "From Vol 1, No.1 onwards the copyright of the article published in the journal 'Jurnal Nasional Pengelolaan Energi MigasZoom' will be retained by the author"
Privacy Statement
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
