Ramadhan, Esa Anugrah (2024) Optimisasi Tekno-Ekonomi Melalui Perancangan Heat Recovery Steam Generator Dan Steam Turbine Generator Pada Unit Utilitas Natural Gas Plant. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Gas Turbine Generator (GTG) pada Unit Utilitas milik salah satu plant pemrosesan gas alam di Banyuwangi, Jawa Timur memiliki panas gas buang yang belum dimanfaatkan. Penelitian ini bertujuan untuk merancang unit pemanen panas buang untuk dimanfaatkan sebagai sumber energi listrik pada plant tersebut. Heat Recovery Steam Generator (HRSG) dan Steam Turbine Generator dipilih sebagai model perancangan yang juga akan dioptimisasi pada aspek performa dan biaya. Optimisasi perancangan menggunakan algoritma genetik untuk mengoptimalkan nilai variabel terikat berupa performa atau kerja yang dihasilkan (kW) dan biaya perancangan (USD), terhadap variabel bebas perancangan berupa skema tingkat tekanan, HRSG-STG feedwater flow dan GTG fuel flow. Penggunaan sistem HRSG-STG untuk pemanfaatan panas buang GTG memberikan peningkatan efisiensi sistem menjadi 44.99% pada skema satu tingkat tekanan, 45.78% pada skema dua tingkat tekanan, dan 46.87% pada skema tiga tingkat tekanan dibandingkan dengan penggunaan GTG tanpa pemanfaatan gas buang. Rancangan sistem HRSG-STG optimal dalam aspek performa dan biaya didapatkan pada variasi HRSG-STG feedwater flow 19500.0087 kg/jam, variasi GTG fuel flow 3425.0032 kg/jam, pada Satu Tingkat Tekanan, dengan hasil kerja sebesar 3541.34 kW dan biaya perancangan sebesar $9,035,110.04. Dari tinjauan tekno-ekonomi, proyek perancangan ini layak dilakukan karena memiliki tingkat pengembalian lebih besar dari nilai diskonto (10%) dengan nilai IRR sebesar 13.25%, dengan jangka waktu pengembalian modal selama 5.37 tahun, dengan valuasi proyek pada tahun 2034 sebesar $1,297,596.29.
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Gas Turbine Generator (GTG) at a Utility Unit belonging to a natural gas processing plant in Banyuwangi, East Java, has exhaust heat that has not yet been utilized. This research aims to design a waste heat recovery unit to be used as a source of electrical energy for the plant. The Heat Recovery Steam Generator (HRSG) and Steam Turbine Generator were chosen as the design models, which will also be optimized in terms of performance and cost. The design optimization uses a genetic algorithm to optimize the dependent variables of performance or generated work (kW) and design cost (USD) against the independent design variables, including pressure level scheme, HRSG-STG feedwater flow, and GTG fuel flow. Using the HRSG-STG system to utilize GTG exhaust heat results in an increase in generated work by 44.99% for a single pressure level scheme, 45.78% for a two pressure level scheme, and 46.87% for a three pressure level scheme compared to using the GTG without exhaust heat utilization. The optimal HRSG-STG system design in terms of performance and cost was achieved with an HRSG-STG feedwater flow variation of 19500.0087 kg/hour and a GTG fuel flow variation of 3425.0032 kg/hour at a single pressure level, resulting in a work output of 3541.34 kW and a design cost of $9,035,110.04. From a techno-economic perspective, this design project is feasible as it has a rate of return greater than the discount rate (10%), with an IRR of 13.25%, a payback period of 5.37 years, and a project valuation in 2034 of $1,297,596.29.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Algoritma Genetik, GTG, HRSG, Optimisasi, STG, Tekno-Ekonomi; Genetics Algorithm, GTG, HRSG, STG, Techno-Economy |
| Subjects: | Q Science > QA Mathematics > QA401 Mathematical models. Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. T Technology > TJ Mechanical engineering and machinery > TJ164 Power plants--Design and construction T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers T Technology > TJ Mechanical engineering and machinery > TJ265.E23 Thermodynamics. T Technology > TJ Mechanical engineering and machinery > TJ762.E93 Exhaust systems T Technology > TJ Mechanical engineering and machinery > TJ778 Gas turbines |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Esa Anugrah Ramadhan |
| Date Deposited: | 26 Jul 2024 03:20 |
| Last Modified: | 26 Jul 2024 03:20 |
| URI: | http://repository.its.ac.id/id/eprint/109022 |
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