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All Journal TEKNIK Makara Journal of Technology
Arnas Arnas, Arnas
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Kontrol Ventilasi Mekanis Berbasis pada Jumlah Estimasi Penghuni menggunakan Sensor Karbon Dioksida Rahman, Haolia; Sukandi, Agus; Nasruddin, Nasruddin; Arnas, Arnas; Lapisa, Remon
TEKNIK Vol 41, No. 3 (2020): December 2020
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v41i3.33416

Abstract

Ventilasi merupakan unsur penting untuk menjaga kualitas udara yang baik di dalam sebuah bangunan. Namun, penggunaan ventilasi yang berlebihan menyebabkan tingginya konsumsi energi dari sistem HVAC. Standar ASHRAE telah memberikan aturan bahwa laju ventilasi tergantung dari banyaknya penghuni dan luas ruangan di dalamnya. Oleh karena itu kuantifikasi populasi penghuni perlu diketahui sebagai acuan sebuah kontrol ventilasi. Pada penelitian ini, jumlah penghuni diestimasi menggunakan metode Bayesian MCMC berdasarkan level CO2 di dalam ruangan. Persamaan kesetimbangan massa CO2 digunakan sebagai model perhitungan Bayesian MCMC. Pengujian metode Bayesian dalam mengestimasi jumlah penghuni diaplikasikan pada sebuah ruangan kantor skala kecil berukuran 96,7 m3 yang dilengkapi dengan sistem ventilasi, sehingga estimasi penghuni dan kontrol ventilasi dapat dilakukan secara bersamaan. Pengujian juga mencakup kontrol ventilasi konvesional menggunakan level CO2 secara langsung tanpa mengkonversinya menjadi jumlah penghuni. Laju ventilasi berdasarkan jumlah penghuni pada ruangan pengujian mengacu pada standar ASHRAE 62.1. Hasil pengujian menunjukan bahwa kontrol ventilasi berbasis pada estimasi jumlah penghuni menggunakan metode Bayesian berhasil dilaksanakan dengan nilai laju ventilasi per penghuni lebih mendekati standar ASHRAE 62.1 dibandingkan dengan ventilasi metode konvensional.
Thermodynamic Analysis of Irreversible Heat-transformers Giannetti, Niccolo`; Arnas, Arnas; Rocchetti, Andrea; Saito, Kiyoshi
Makara Journal of Technology Vol. 19, No. 2
Publisher : UI Scholars Hub

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Abstract

Absorption heat transformers extend the possibilities for efficient and environment-friendly energy conversion processes. Based on a general thermodynamic model of three-thermal cycles with finite thermal capacity of the heat sources, this paper is intent upon analyzing and optimizing the performance of absorption heat transformers, by including the influence of irreversibility in the analytical expression of the system efficiency. Dimensionless parameters for an overall optimization are defined and a first screening is performed to clarify their influence. Dependence on the main factors is highlighted to suggest how to change them in order to enhance the whole system performance. Under this point of view, the analysis evaluates coefficient of performance (COP) improvements and can be used to perform existing plant diagnostics, besides predicting the system performance. The use of this criterion is exemplified for specific heat transformers data from literature. This approach identifies the limitations imposed to the physical processes by accounting for the inevitable dissipation due to their constrained duration and intensity, and constitutes a general thermodynamic criterion for the optimization of three-thermal irreversible systems.
Thermoeconomic Optimization of Cascade Refrigeration System Using Mixed Carbon Dioxide and Hydrocarbons at Low Temperature Circuit Nasruddin, Nasruddin; Arnas, Arnas; Faqih, Ahmad; Giannetti, Niccolo
Makara Journal of Technology Vol. 20, No. 3
Publisher : UI Scholars Hub

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Abstract

Many applications and industrial processes require very low cooling temperature, such as cold storage in the biomedical field, requiring temperature below -80 °C. However, single-cycle refrigeration systems can only achieve the effective cooling temperature of -40 °C and, also, the performance of the cycle will decrease drastically for cooling temperatures lower than -35°C. Currently, most of cascade refrigeration systems use refrigerants that have ozone depletion potential (ODP) and global warming potential (GWP), therefore, in this study, a cascade system is simulated using a mixture of environmentally friendly refrigerants, namely, carbon dioxide and a hydrocarbon (propane, ethane or ethylene) as the refrigerant of the low temperature circuit. A thermodynamic analysis is performed to determine the optimal composition of the mixture of carbon dioxide and hydrocarbons in the scope of certain operating parameters. In addition, an economic analysis was also performed to determine the annual cost to be incurred from the cascade refrigeration system. The multi-objective/thermoeconomic optimization points out optimal operating parameter values of the system, to addressing both exergy efficiency and its relation to the costs to be incurred.
Co-Authors Agus Sukandi Ahmad Faqih Andrea Rocchetti, Andrea Giannetti, Niccolo Kiyoshi Saito, Kiyoshi Nasruddin Nasruddin Niccolo` Giannetti, Niccolo` Rahman, Haolia Remon Lapisa