Penetapan Strategi Ekonomis Biaya Termal Biomassa Sebagai Bahan Bakar Alternatif Di Industri Semen

Priambodo, Bangkit Nadyo (2023) Penetapan Strategi Ekonomis Biaya Termal Biomassa Sebagai Bahan Bakar Alternatif Di Industri Semen. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dengan kenaikan harga batubara maka alternatif solusi efisiensi dengan meningkatkan pemakaian bahan bakar alternatif. Sumber bahan bakar alternatif salah satunya dengan pemanfaatan biomassa sehingga diperlukan penentuan batasan termal biomassa tersebut yang ekonomis mensubtitusi termal batubara. Memodelkan thermal mixed biomassa melalui linear programming dengan mempertimbangkan ketidakpastian kualitas biomassa membantu pengambilan keputusan dalam aspek ekonomis untuk mendapatkan biaya bahan bakar yang terbaik. Metode melalui simulasi montecarlo dengan faktor ketidakpastian kualitas biomassa untuk mendapatkan batasan kualitas mixed biomassa. Penelitian ini bertujuan untuk mendapatkan total biaya bahan bakar yang optimal dengan penggunaan ketidakpastian kualitas biomassa sebagai bahan bakar alternatif untuk dengan menggunakan linear programming. Model tersebut digunakan pada simulasi montecarlo untuk mencari batasan kualitas biomassa sebagai mixed biomassa. Hasil optimasi linear programming didapatkan indeks biaya bahan bakar pada STEC 780 kcal/kg clinker sebesar 203,645 Rp./ton clinker dengan potensi penghematan dibandingkan STEC 824 kcal/kg clinker pada musim hujan sebesar 5.5%. Pada musim panen yang dibandingkan dengan STEC 785 kcal/kg clinker memberikan potensi penghematan sebesar 1,7%. Hasil simulasi montecarlo didapatkan 39 skenario pada kondisi musim hujan dengan 3 batasan kualitas Total Moisture (TM) sekam dan cocopeat yang masih memberikan dampak penurunan indeks biaya bahan bakar 0,68%, peningkatan TSR (Thermal Subtitution Rate) sebesar 34% dan penurunan emisi CO2 sebesar 1,1%. Pada musim panen didapatkan 26 skenario dengan 2 batasan kualitas TM biomassa yang masih memberikan dampak penurunan indeks biaya bahan bakar sebesar 1,22%, peningkatan TSR sebesar 42% dan penurunan emisi CO2 sebesar 1,95%. Implikasi kepada perusahaan dengan menurunkan STEC ke 780 kcal/kg clinker dan menerapkan zonasi kualitas penyimpanan biomassa untuk menerapkan strategi thermal mixed biomassa.
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With the increase in coal prices, an alternative efficiency solution is to increase the use of alternative fuels. One of the alternative fuel sources is the utilization of biomass so that it is necessary to determine the thermal limit of biomass that economically substitutes coal thermal. Modeling thermal mixed biomass through linear programming by considering biomass quality uncertainty helps decision making in the economic aspect to get the best fuel cost. Method through montecarlo simulation with biomass quality uncertainty factor to get mixed biomass quality limit. This study aims to obtain the optimal total fuel cost by using biomass quality uncertainty as an alternative fuel using linear programming. The model is used in montecarlo simulation to find the limit of biomass quality as mixed biomass. The results of linear programming optimization obtained a fuel cost index at STEC 780 kcal/kg clinker of 203,645 Rp./ton clinker with potential savings compared to STEC 824 kcal/kg clinker in the rainy season of 5.5%. In the harvest season compared to STEC 785 kcal/kg clinker provides potential savings of 1.7%. Montecarlo simulation results obtained 39 scenarios in the rainy season conditions with 3 limits on the quality of Total Moisture (TM) chaff and cocopeat which still have an impact on reducing the fuel cost index by 0.68%, increasing TSR (Thermal Subtitution Rate) by 34% and reducing CO2 emissions by 1.1%. In the harvest season, 26 scenarios were obtained with 2 TM biomass quality limits that still had an impact on reducing the fuel cost index by 1.22%, increasing TSR by 42% and reducing CO2 emissions by 1.95%. Implications for the company by lowering STEC to 780 kcal/kg clinker and implementing biomass storage quality zoning to implement a thermal mixed biomass strategy.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Thermal, Linear Programming, Montecarlo, Mixed Alternative Fuel, Total Moisture, CO2 Emission
Subjects: Q Science > QA Mathematics > QA274.2 Stochastic analysis
Divisions: Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User: BANGKIT NADYO PRIAMBODO
Date Deposited: 22 Dec 2023 05:16
Last Modified: 22 Dec 2023 05:16
URI: http://repository.its.ac.id/id/eprint/105307

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