Abdi Hanra Sebayang
Department of Mechanical Engineering, Polytechnic Negeri Medan, Indonesia

Published : 3 Documents
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Energy Economical and Environmental Analysis of Industrial Boilers Using Fuel Switching Atabani, Abdelaziz Emdeldin; Rahman, Saidur; Silitonga, Arridina Susan; Sebayang, Abdi Hanra
International Journal on Advanced Science, Engineering and Information Technology Vol 1, No 5 (2011)
Publisher : International Journal on Advanced Science, Engineering and Information Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/102

Abstract

The successful implementation of the industrialization plan  in Malaysia  in 1985 has led to change this country from an agricultural economy into industrial based economy. The industrial sector represents the highest consuming sector across all other sectors and accounts for about 48% of all total  energy demand. This study is concerned with an energy saving, economic and environmental analysis of industrial boilers in Malaysian paper and pulp industries when applying the concept of fuel switching. It has been found that 11,946 ton of CO2 and RM 1,872,532 could be saved annually, when switching between diesel fuel and biomass by a percentage of 50% for both instead of using 100% of diesel fuel. Also it has been found that 7,495,640 kg of CO2 and RM 923,431 could be saved annually, when switching between diesel fuel and natural gas by a percentage of 50% for both instead of using 100% of diesel fuel. All these results represent high energy saving, environmental and economic benefits for a small developing country like Malaysia.
PENGARUH CAMPURAN BAHAN BAKAR PERTALITE-BIOETANOL BIJI SORGHUM PADA MESIN BENSIN Sebayang, Abdi Hanra; Ibrahim, Husin; Dharma, Surya; Silitonga, Arridina Susan; Ginting, Berta Br; Damanik, Natalina
Jurnal Teknosains Vol 9, No 2 (2020): June (FORTHCOMING)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.40502

Abstract

The depletion of fossil fuels, rising of earth temperatures and declining of air quality are an unavoidable phenomenon today. Bioethanol fuel is one solution to reduce this problem that comes from renewable raw materials. The purpose of this study is to investigate engine performance and exhaust emissions at gasoline engine by using the sorghum seeds bioethanol-pertalite blends with different mixed ratios (10%, 15%, and 20%). The test is performed on a four-stroke gasoline engine without modification. Engine speeds vary from 1000 to 4000 rpm, and properties of the sorghum seeds bioethanol-pertalite blends are measured and analyzed. In addition, engine torque, brake power, brake specific fuel consumption (BSFC) and brake thermal efficiency (BTE) as well as carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide (NOx) emissions are measured. The results show that BSFC decreased while BTE increased for a fuel blends containing 20% bioethanol at 3500 rpm engine speed, with each maximum value of 246.93 g/kWh and 36.28%. It is also found that CO and HC emissions are lower for the sorghum seeds bioethanol-pertalite blends. Based on the research results, it can be concluded that the sorghum seeds bioethanol-pertalite blends can improve engine performance and reduce exhaust gas emissions. Keywords: bioethanol; pertalite; performance engine; exhaust gas emission; alternatif fuel.
PREDIKSI KINERJA MESIN DIESEL DENGAN BAHAN BAKAR BIODIESEL-SOLAR MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Ibrahim, Husin; Sebayang, Abdi Hanra; Dharma, S.; Silitonga, A.S.
Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Vol 1, No 1 (2017): Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmstkik.v1i1.391

Abstract

Tulisan ini meneliti kinerja mesin diesel satu silinder menggunakan campuran bahan bakar biodiesel randu dengan solar. Tes dilakukan dengan berbagai perbandingan biodiesel-diesel (B10, B20 dan B30). Sebuah model artificial neural network (ANN) yang didasarkan pada algoritma back-propagasi standar digunakan untuk memprediksi kinerja mesin menggunakan MATLAB. Untuk memperoleh data untuk pelatihan dan pengujian yang diusulkan ANN, kecepatan mesin yang berbeda (1400-2200 rpm) dipilih sebagai parameter masukan, sedangkan kinerja mesin (BSFC dan BTE) dipilih sebagai parameter keluaran untuk ANN pemodelan dari mesin diesel. Kinerja mesin (BSFC dan BTE) ANN telah divalidasi dengan membandingkan hasil prediksi dengan hasil eksperimen. Hasil penelitian menunjukkan bahwa koefisien korelasi BSFC dan BTE masing masing adalah 0,99249 dan 0,99457. Nilai MAPE (mean absolute persentase kesalahan) BSFC dan BTE adalah 0,57467 dan 0,33424 dan root mean square (RSME) nilai di bawah 5% oleh model, yang diterima. Studi ini menunjukkan bahwa pemodelan teknik sebagai pendekatan dalam energi alternatif dapat memberikan peningkatan keuntungan dari kehandalan dalam prediksi kinerja mesin pembakaran dalam.