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All Journal International Journal of Electrical and Computer Engineering EKSAKTA: Journal of Sciences and Data Analysis Rotasi
Nur Cahyo
PLN Research Institute
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering

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Simulasi Karakteristik Co-Firing Batubara - Sekam Padi pada PLTU Batubara Pulverized Coal Kapasitas 400 MWe Nur Cahyo; Ruly Bayu Sitanggang; Meiri Triani; Rasgianti Rasgianti; Eko Supriyanto; Paryanto Paryanto
ROTASI Vol 24, No 2 (2022): VOLUME 24, NOMOR 2, APRIL 2022
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.24.2.43-53

Abstract

A study on co-firing using coal and rice husk biomass has been carried out on a pulverized coal power plant with a capacity of 400 MWe by varying the co-firing biomass ratio from 0 to 50%. The mixing of coal fuel and rice husk biomass in the model is carried out before entering the pulverizer/mill. After the model iteration shows convergence, the output simulation is validated by comparing the simulation output value with the design and actual parameter values. The evaluation is carried out by comparing the simulation results of baseline conditions with co-firing conditions on the parameters of performance, power output, equipment condition, energy consumption itself, and the impact on emission products. The addition of 1% of the co-firing ratio using rice husks showed a decrease in the boiler efficiency (HHV) by 3.19%. Net plant heat rate and SFC increased by 5.22% and 2.53%. Gross output power decreased by 2.53%. ESP power consumption and total auxiliary power increased by 220% and 17.25%. Furthermore, co-firing using risk husk also reduces SO2 emission and increases the particulate rate.
The The Potential Implementation of Biomass Co-firing with Coal in Power Plant on Emission and Economic Aspects: A Review Meiri Triani; Fefria Tanbar; Nur Cahyo; Ruly Sitanggang; Dadan Sumiarsa; Gemilang Lara Utama
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 3, ISSUE 2, August 2022
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol3.iss2.art4

Abstract

Applying coal-biomass co-firing power generation is the strategy to accelerate the renewable energy share in the energy mix to reach 23% by 2025. Although biomass co-firing trials have been carried out at several Coal-Fired Power Plants (CFPP), the potential for implementing biomass co-firing on a larger scale and for the long-term propose still needs to be identified. This article evaluates emission characteristics and economic aspects of implementing biomass and coal in power plants. The traditional review method is used by identifying journal articles as data sources and further elaborating according to the context of the study. The primary emissions from co-firing biomass with coal contain CO, SO2, NOx, and particulate matter. The coal-biomass co-firing power generation has been widely adopted due to its various positive effects. However, it is still necessary to consider the cost of retrofitting, OM, biomass prices, and incentives in its application.
Initial location selection of electric vehicles charging infrastructure in urban city through clustering algorithm Handrea Bernando Tambunan; Ruly Bayu Sitanggang; Muhammad Muslih Mafruddin; Oksa Prasetyawan; Kensianesi Kensianesi; Istiqomah Istiqomah; Nur Cahyo; Fefria Tanbar
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3266-3280

Abstract

Transportation is one of the critical sectors worldwide, mainly based on fossil fuels, especially internal combustion engines. In a developing country, heightened dependence on fossil fuels affected energy sustainability issues, greenhouse gas emissions, and increasing state budget allocation towards fuel subsidies. Moreover, shifting to electric vehicles (EVs) with alternative energy, primely renewable energy sources, is considered a promising alternative to decreasing dependence on fossil fuel consumption. The availability of a sufficient EV charging station infrastructure is determined as an appropriate strategy and rudimentary requirement to optimize the growth of EV users, especially in urban cities. This study aims to utilize the k-mean algorithm’s clustering method to group and select a potential EV charging station location in Jakarta an urban city in Indonesia. This study proposed a method for advancing the layout location’s comprehensive suitability. An iterative procedure determines the most suitable value for K as centroids. The K value is evaluated by cluster silhouette coefficient scores to acquire the optimized numeral of clusters. The results show that 95 potential locations are divided into 19 different groups. The suggested initial EV charging station location was selected and validated by silhouette coefficient scores. This research also presents the maps of the initially selected locations and clustering.
Analysis of High-Speed Train Braking Systems: Components, Braking Force, and Air Consumption P Paryanto; Joga D Setiawan; Abduh B Adriathmaa; Akhmat Busori; Mulyadi s Harjono; Nur Cahyo
ROTASI Vol 25, No 2 (2023): VOLUME 25, NOMOR 2, APRIL 2023
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.25.2.%p

Abstract

Ensuring the accuracy of parameters involved in high-speed train braking is essential for passenger safety and efficient operation. To achieve this, it is crucial to verify the force values, input and output specifications of braking system devices, and ensure they align with the desired values. This can be accomplished through quantitative research, which involves collecting braking system data from the train manufacturing company and consulting the technical book provided by the braking system manufacturer. In this particular research, the braking system of the high-speed train under investigation is designed as a combination of regenerative and electro-pneumatic braking. The regenerative braking force, determined by the DC motor and control, amounts to 95.46 kN, enabling train to decelerate from 220 km/h to 90 km/h. Subsequently, the electro-pneumatic braking continues the regenerative braking, with a force value resulting from the calculation of the output value on devices of 296.4 kN, bringing train to a complete stop. The air demand required to supply the pneumatic components of braking devices as well as the air demand of other devices in train is 121.35 liters/min. This figure accounts for the pneumatic supply needed for braking system's proper functioning, along with other pneumatic-dependent devices present on train. To validate the proposed design, a simulation of train braking operations was conducted using the data obtained from the research. This simulation aims to evaluate the effectiveness and efficiency of high-speed train braking system design, providing valuable insights for further improvements and optimizations.
Co-Authors Abduh B Adriathmaa Akhmat Busori Dadan Sumiarsa Eko Supriyanto Fefria Tanbar Fefria Tanbar Gemilang Lara Utama Handrea Bernando Tambunan Istiqomah Istiqomah Joga D Setiawan Kensianesi Kensianesi Meiri Triani Meiri Triani Muhammad Muslih Mafruddin Mulyadi s Harjono Oksa Prasetyawan P Paryanto Paryanto Rasgianti Rasgianti Ruly Bayu Sitanggang Ruly Bayu Sitanggang Ruly Sitanggang