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Waste Power Plant Modeling Based Landfill Pretreatment and HCCI (Homogeneous Charge Compression Ignition) Generator Engine Wahyu Hendra W; Gunawan Nugroho
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.196 KB) | DOI: 10.12962/j23546026.y2015i1.1029

Abstract

Waste management is cruisal problem for major cities in all countries. Technically, MSW (Municipal Solid Waste) biological processes can be converted into LFG (landfill Gas), which can be used as an energy source for electricity generation. LFG utilization as fuel for power generation is also supported by the presence of motor fuel engines based HCCI (Homogeneous Charge Compression Ignition). To ensure the successful adoption of waste power plan based HCCI engine-generator, in the form of mathematical modeling studies of biogas production in a region need to be done carefully. The formulation waste power plant models with engine HCCI, is based on the reference model and reference experimental results of each part in the power plant waste that includes, production of biogas from landfill, biogas filter, generator power conversion HCCI. The production of biogas from landfills using multicomponent models, biogas filter using a filter system with a suspension of dolomite, and for the conversion of electricity using a generator HCCI referring to the results of experiments that has been conducted by Bedoya,2012. Waste power plant modeling result shows, if power output 3.725 .10-3 of capacity HCCI engine fuel consumption.
Perbaikan Performansi Mesin Ekstraktor Minyak Atsiri di Kawasan Eduwisata Herbal AMKE Oro-Oro Ombo Kota Batu, Jawa Timur Detak Yan Pratama; Sekartedjo; Agus Muhammad Hatta; Gunawan Nugroho; Iwan Cony Setiadi; Aulia Muhammad Taufiq Nasution
Sewagati Vol 7 No 2 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5945.974 KB) | DOI: 10.12962/j26139960.v7i2.477

Abstract

Salah satu potensi yang dimiliki oleh Area Modal Konservasi dan Edukasi (AMKE) Desa Oro-Oro Ombo, Kota Batu adalah kualitas tanah yang cocok untuk bercocok tanam. Salah satu jenis tanaman yang dikembangkan adalah serai wangi. Tanaman serai wangi diolah oleh AMKE untuk menghasilkan minyak atsiri melalui metode distilasi. Selama ini AMKE telah berhasil memproduksi minyak atsiri 80 ml melalui proses distilasi 30 kg serai selama 3 jam. Dengan harga jual pasaran Rp. 300.000 per liter, maka secara perhitungan ekonomi masih belum menguntungkan. Pada pengabdian masyarakat ini, dilakukan analisa penyebab tersebut dan mencari solusi untuk meningkatkan performansi alat distilasi. Peningkatan performansi ini bisa dilakukan dengan melakukan pemilihan jenis daun serai wangi maupun dari aspek teknologi proses distilasi. Pada pengabdian masyarakat ini hanya berfokus pada rekayasa sistem alat distilasinya. Melalui beberapa perhitungan energi, ditemukan rugi energi pada proses produksi. Banyak energi panas yang semestinya dapat digunakan untuk proses distilasi terbuang ke lingkungan. Oleh sebab itu, perlu ditambahkan isolator panas pada tabung distilasi, sehingga energi panasnya dapat digunakan secara maksimal untuk proses penguapan kandungan daun serai wangi. Dengan penambahan lapisan isolator berbahan glasswool pada tabung distilasi dapat meningkatkan hasil distilasi campuran air dan minyak dari 2.100 ml menjadi 3.950 ml setelah diberi isolator panas.
A CFD analysis of NACA 0015 airfoil as a horizontal stabilizer with gap length variations Gunawan Nugroho; Herman Sasongko; Mohammad Adenan; Sarwono; Heru Mirmanto
Journal of Energy, Mechanical, Material, and Manufacturing Engineering Vol. 7 No. 2 (2022)
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jemmme.v7i2.26425

Abstract

The horizontal stabilizer is an important device which stabilize in the longitudinal direction is an important device for aviation. It also controls the pitching nose through the variation of elevator deflection angle. This work is to relate the lift coefficient with elevator deflection angle. The applied horizontal stabiliser is a plain flap with the gap length of 1.75%, 2% and 2.25% w.r.t. chord length. Results show that higher elevator deflection angle increases lift coefficient. For the 2 degree angle of attack and 20 degree of elevetor deflection angle, the lift coefficient is 0.93 (gap length 1.75%). Moreover, the lift coefficient is 1.83 for 10 degree horizontal stabiliser (gap length 2%).
Analysis of Implementation and Optimization of Carbon Mitigation Mechanisms in Oil and Gas Industry Using Multi-Criteria Decision Analysis Sukmasari*, Luthfiyah Revi; Nugroho, Gunawan
Riwayat: Educational Journal of History and Humanities Vol 7, No 3 (2024): July, Educational and Social Issue
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v7i3.39124

Abstract

Indonesia signed the Paris Agreement in 2016, thus actively contributing to tackling climate change has an obligation to reduce greenhouse gas (GHG) emissions. The main factor of global climate change is the increase of GHG, especially carbon dioxide (CO2) and methane (CH4). PT X is committed to supporting Net Zero Emission 2060 by encouraging programs that have a good impact on the environment and Sustainable Development Goals (SDG's) 13 and supporting the government in handling the climate crisis. The ranking of alternatives is carried out using two structured methods, quantitative analysis using Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), considering environmental, economic, and social aspects. used to help make decisions for the implementation of carbon mitigation mechanisms. From the observation of the previous implementation, carbon emissions in the production process were quite high. So it is necessary to make effective carbon mitigation efforts. There are three criteria that influence action decisions, namely environmental criteria, economic criteria and social criteria. The results of the weight value of each criterion are that the environment has the highest weight (0.61), followed by economic criteria (0.20) and social criteria (0.19) from these values indicate that environmental criteria are the most important criteria in decision making. The ranking results show that the Piston Modification Program and the Diesel Engine to Gas Engine Replacement Program are optimal options for short-term implementation. The Carbon Capture and Storage (CCS) program should be considered for long-term investment, with the potential for large emission reductions and long-term cost savings.
PREDICTION OF HIGHER HEATING VALUE OF VARIOUS BIOMASSES USING THE EQUATION FOR THE HYDROTHERMAL CARBONIZATION METHOD ON BANANA BUNCHES Sulaiman, Sani Maulana; Nugroho, Gunawan; Putra, Herlian Eriska; Fitria, Novi; Sukmawati, Wina Ike
Jurnal Reka Lingkungan Vol 12, No 1 (2024)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekalingkungan.v12i1.81-92

Abstract

When designing many variables influence the thermal conversion system for homogeneous biomass and heterogeneous biomass. The factor that can have an important influence is the higher the calorific value (HHV). Many correlation models have been developed to estimate the HHV of homogeneous and heterogeneous biomass to reduce analysis costs. Unfortunately, the correlation model for predicting biomass HHV still has shortcomings when predicting biomass data from different thermal conversion processes and different types of biomass. In this study, four new correlations based on proximate and ultimate analysis of homogeneous biomass with the hydrothermal carbonization (HTC) method used for HHV prediction are presented. The multiple linear regression method is used to produce correlations from homogeneous biomass data then compare biomass models from open literature and compare correlation accuracy for data from the literature. It was found that the correlation obtained from proximate analysis (HHV =967.171 -8.684Ash -9.299VM -9.913FC) was more accurate than that obtained from proximate.