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                <text>Lubis, R.S.</text>
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                <text>Modeling and simulation of Generalized Unified Power Flow Controller (GUPFC)</text>
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                <text>Mahlia, T.M.I.</text>
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                <text>Mahidin, Mahidin</text>
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                <text>Gani, Asri</text>
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                <text>Khairil, Khairil</text>
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                <text>NOx and N2O emissions from coal combustion are claimed as the major contributors for the acid rain, photochemical smog, green house and ozone depletion problems. Based on the facts, study on those emissions formation is interest topic in the combustion area. In this paper, theoretical study by modeling and simulation on NOx and N2O formation in co-combustion of low-rank coal and palm kernel shell has been done. Combustion model was developed by using the principle of chemical-reaction equilibrium. Simulation on the model in order to evaluate the composition of the flue gas was performed by minimization the Gibbs free energy. The results showed that by introduced of biomass in coal combustion can reduce the NOx concentration in considerably level. Maximum NO level in co-combustion of low-rank coal and palm kernel shell with fuel composition 1:1 is 2,350 ppm, low enough compared to single low-rank coal combustion up to 3,150 ppm. Moreover, N2O is less than 0.25 ppm in all cases.Keywords: low-rank coal, N2O emission, NOx emission, palm kernel shell</text>
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                <text>http://jurnal.unsyiah.ac.id/RKL/article/view/260</text>
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                <text>Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia</text>
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                <text>http://jurnal.unsyiah.ac.id/RKL/article/view/260/246</text>
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                <text>Jurnal Rekayasa Kimia &amp; Lingkungan; Vol 9, No 2 (2012): Jurnal Rekayasa Kimia &amp; Lingkungan; 88-93</text>
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                <text>1412-5064</text>
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                <text>Modeling and Simulation on NOx and N2O Formation in  Co-combustion of Low-rank Coal and Palm Kernel Shell</text>
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                <text>Mahlia, T.M.I.</text>
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                <text>Rismanchi, B</text>
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                <text>Saidur, R</text>
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                <text>Modeling and simulation to determine the potential energy savings by implementing cold thermal energy storage system in office buildings</text>
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                <text>Lubis, R.S</text>
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                <text>Tumiran</text>
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                <text>Modeling of the generalized unified power flow controller for optimal power flow</text>
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                <text>S, Sarwo Edhy; Syiah Kuala University</text>
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                <text>Air conditioning and heat pump systems can use the ground as a medium to dump or absorb heat energy to increase efficiencies. As compared to the air, the ground has lower temperature in the summer and higher in the winter. In this research, the vertical U tube underground heat exchanger that can be used to harvest geothermal energy, has been modeled by using two dimensional finite difference methods. The model is not only able to estimate the water temperatures out of vertical U tube underground heat exchanger, but also capable of calculating the temperature profile change of surrounding soil under various water entering heat exchanger and weather conditions. The heat transfer process between the underground heat exchanger and soil has been investigated and profiles of soil and water temperatures are presented.</text>
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                <text>Abstract: The generalized linear model-poison distribution was employed incorporating available geometric data, exposure, etc. The explanotary variables used were average annual daily traffic (AADT), length of segment, heavy vehicle percentage, median, availability of shoulder, number of acces, number of intersection, number of curve per km, and amount of rain fall in a year in two Major National Highways in Thailand. Maximum Likelihood Method (MLM) was used for determining of estimation parameters by using Statistical Package for the Social Sciences (SPSS) version 16. Poison regression models were selected for the model SPFs of the accident, fatality and injury with the total explained variation (RD2) on average 0.44%, 0.25%, and 0.36% respectively. The final of developed models can be used for identifying and analyzing of hazardous locations, prioritizing an effective maintenance strategy tool with the identified hazardous locations along the road section.Keywords: Generalized Linear Models (GLM), Safety Performance Function (SPFs), Maximum Likelihood Model (MLM), Poisson Regresion, Total Explained Variation, SPSS, Hazardous Locations.Abstrak: Distribusi Poison yang digeneralkan sebagai model linier digunakan dalam penelitian ini dengan mengakomodir data geometrik, parameter traffic (exposure), dan lainya. Parameter penjelas (explanotary) diambil di dua Jalan Raya (highway) utama di Thailand termasuk data didalamnya average annual daily traffic (AADT), panjang segmen yang ditinjau, persen kendarangan berat, jenis dan keberadaan median, jenis dan keberadaan bahu jalan, jumlah bukaan akses, jumlah persimpangan, jumlah kurva per km, dan nilai curah hujan per tahun. Metode Maximum Likelihood Model (MLM) digunakan untuk mendeterminasi parameter estimasi model dengan bantuan perangkat lunak SPSS (Statistical Package for the Social Sciences) versi 16. Hasil regresi menggunakan distribusi poison digunakan sebagai model keselamatan untuk model jumlah kecelakaan, kematian, dan luka-luka. Katagori pemilihan model terbaik berdasarkan nilai total explained variation (RD2) yang berturut-turut dengan nilai rata-rata 0.44%, 0.25%, and 0.36% utuk model jumlah kecelakaan, kematian, dan luka-luka. Hasil final model dapat digunakan untuk identifikasi dan analisis segment rawan kecelakan, dan juga dapat digunakan untuk menganalisis prioritas penanganan daerah rawan kecelakaan yang telah teridentifikasi.Kata Kunci: Generalized Linear Models (GLM), Model Keselamatan Lalulintas, Maximum Likelihood Model (MLM), Poisson Regresion, Total Explained Variation, SPSS, Rawan kecelakaan.</text>
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                <text>MODELING THE DEGRADABLE ORGANIC CARBON IN MUNICIPAL SOLID WASTE LANDFILLS</text>
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