Analisis Eksergi dan Optimisasi Termoekonomi Pada Sistem Refrigerasi di Data Center Menggunakan Metode Algoritma Genetika

Holle, Maharani Sarah (2020) Analisis Eksergi dan Optimisasi Termoekonomi Pada Sistem Refrigerasi di Data Center Menggunakan Metode Algoritma Genetika. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Refrigerasi adalah sistem termodinamika yang melibatkan transfer energi berupa sejumlah panas yang diserap sistem dan dilepas oleh sistem ke lingkungan. Proses perpindahan panas merupakan sumber utama terjadinya ireversibilitas pada siklus tersebut yang berdampak pada penurunan kinerja sistem. Oleh karena itu, pada penelitian ini dilakukan analisis dan optimisasi terhadap sistem refrigerasi dari aspek energi dan ekonomi. Hasil penelitian ini menunjukan bahwa temperatur kondensor dan evaporator sangat mempengaruhi performansi sistem. Kenaikan temperatur kondensor menyebabkan meningkatnya perbedaan temperatur dengan lingkungan sehingga COP, efisiensi eksergi dan total cost rate menurun. Sedangkan, kenaikan temperatur evaporator naik mengakibatkan penurunan rasio tekanan kompresor pada sistem sehingga COP dan efisiensi eksergi terus mengalami peningkatan sedangkan total cost rate mengalami penurunan. Proses optimisasi multiobjektif dengan metode algortima genetika digunakan untuk menentukan parameter operasi paling optimum dari aspek energi dan ekonomi pada sistem refrigerasi dan TOPSIS decision making untuk menentukan solusi paling terbaik. Berdasarkan optimisasi ini didapatkan parameter operasi optimum berada pada temperatur kerja kondensor 53,65ºC dan temperatur evaporator -3,92ºC dengan hasil nilai efisiensi eksergi yaitu 69,1% dan total cost rate senilai 108.832 USD/year. Kata Kunci: eksergi, optimisasi, refrigerasi =========================================================================== Refrigeration is a thermodynamic system involving heat transfer across the interface between system and environment. The heat transfer process is the main source of irreversibility in the cycle, which results in a decrease in the system performance. Therefore, in this study an analysis and optimization of the refrigeration system will be carried out in terms of energy and economy. The results indicate that the condenser and evaporator temperatures significantlyly affect system performance. Increasing condenser temperature yields a higher temperature difference relative to the environment which decreases COP, exergy efficiency, and total cost rate. Meanwhile, higher evaporator temperature decreases the compressor pressure ratio leading to an increase in COP and exergy efficiency and a decrease in the total cost rate. The multiobjective optimization process with genetic algorithm methods was used to determine the optimum operating parameters from the energy and economic aspects of the refrigeration system and TOPSIS decision making to determine the best solution. Based on this optimization, the optimum operating parameters were found at the condenser temperature of 53,65oC and the evaporator temperature of -3,92oC with the results of an exergy efficiency value of 69,1% and a total cost rate of 108.832 USD/year. Keywords: exergy, optimization, refrigeration

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: eksergi, optimisasi, refrigerasi exergy, optimization, refrigeration
Subjects: Q Science > Q Science (General) > Q180.55.M38 Mathematical models
Q Science > Q Science (General) > Q370 Entropy (Information theory)
Q Science > QA Mathematics > QA9.58 Algorithms
Q Science > QC Physics > QC320 Heat transfer
Q Science > QC Physics > QC 611.97.T46 Temperature effects. Including transition temperature
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Maharani Sarah Holle
Date Deposited: 04 Aug 2020 03:09
Last Modified: 04 Aug 2020 03:09
URI: http://repository.its.ac.id/id/eprint/76872

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