Hartono, Cesar (2024) Optimasi Supply Chain Biomassa Cofiring untuk Meningkatkan Bauran Energi dan Keekonomisan Biaya Pokok Produksi Listrik pada PLTU Banten 3 Lontar. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PLTU Banten 3 Lontar sudah memanfaatkan biomassa cofiring berupa sawdust (bubuk kayu). Eskalasi pemanfaatan biomassa cofiring sekitar 4% dari konsumsi batubara. Salah satu permasalahan yang dihadapi dengan semakin bertambahnya kebutuhan biomassa cofiring adalah menjaga biaya perolehannya sehingga biaya pokok produksi (BPP) tenaga listrik tetap kompetitif (minimal). Optimasi rantai pasok biomassa cofiring perlu dilakukan sehingga diperoleh biaya yang paling ekonomis (murah). Pemetaan dan inventarisir sumber-sumber biomassa sawdust dilakukan dengan mempertimbangkan kapasitas pemasok biomassa sehingga kebutuhan cofiring harian sebesar 4% dapat terpenuhi. Pemodelan skema rantai pasok biomassa cofiring multi sumber (multi-product) dari dua pemasok dengan jenis transportasi tunggal pada beberapa periode (multi-period) digunakan untuk pemodelan matematis. Model matematis tersebut digunakan pada metode perhitungan optimasi mix-integer linear programming. Dari perhitungan optimasi, skenario optimal diperoleh untuk pengalokasian pemesanan tonase biomassa ke tiap pemasok pada tiap periode termasuk pengalokasian jumlah penggunaan mode transportasinya. Skenario optimal juga diperoleh untuk pengalokasian pemesanan tonase biomassa dari tempat pre-treatment. Hasil perhitungan optimasi biaya perolehan biomassa cofiring diperoleh potensi penghematan sebesar 1,09%.
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Steam Powerplant of Banten 3 Lontar has utilized cofiring biomass in the form of sawdust. The escalation of cofiring biomass utilization is around 4% of coal consumption. One of the problems faced with the increasing need for cofiring biomass is maintaining its acquisition cost so that the cost of production of electricity remains competitive. Optimization of the cofiring biomass supply chain needs to be carried out so that the most economical costs are obtained. Mapping of sawdust biomass sources are carried out by considering the capacity of biomass suppliers so that the daily cofiring requirement of 4% can be met. Modeling of a multi-source (multi-product) cofiring biomass supply chain scheme from two suppliers with a single type of transportation in multi-period is used for mathematical modeling. By means of mix-integer linear programming. From the optimization calculation, the optimal scenario is obtained for the allocation of biomass tonnage orders to each supplier in each period including the allocation of the amount of transportation mode usage and also obtained for the allocation orders from the pre-treatment site. The results of the optimization of the biomass cofiring acquisition cost obtained a potential savings of 1.09%.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | T Technology > T Technology (General) > T57.74 Linear programming T Technology > TD Environmental technology. Sanitary engineering > TD195.B56 Biomass energy T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 78201-System And Technology Innovation |
| Depositing User: | Cesar Hartono |
| Date Deposited: | 09 Aug 2024 04:21 |
| Last Modified: | 09 Aug 2024 04:21 |
| URI: | http://repository.its.ac.id/id/eprint/114644 |
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