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All Journal Prosiding Semnastek Jurnal Energi dan Lingkungan (Enerlink) Jurnal Teknologi Energi Nusantara Science and Technology Proceedings International Journal of Mechanical Engineering Technologies and Applications (MECHTA)
Rinaldy Dalimi
Departemen Teknik Elektro, Fakultas Teknik Universitas Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology

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FUELCELL HIDROGEN TIPE PEM SEBAGAI SUMBER ENERGI MOBIL LISTRIK ULTRA RINGAN Chandrasa, Ganesha T; Zuhal, Zuhal; Dalimi, Rinaldy; Hoetman, Agus R
185P -3466
Publisher : Agency for the Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.877 KB)

Abstract

Fuelcell merupakan penghasil listrik yang bersih, menggunakan umpan gas hidrogen dan merupakah alternatif bagi sistem konvensional yang menggunakam bahan bakar minyak (BBM) Negara-negara maju berlomba-lomba mengembangkan mobil listrik dengan menggunakan fuelcell untuk menghadapi krisis BBM dan menguangi polusi udara global yang semakin mengkuatirkan. Secara teoritis fuelcell mempunyai efisiensi energi melebihi efisiensi motor bakar jenis apapun. Untuk keperluan transportasi, fuelcell tipe Proton Exchange Membrane (PEM) dianggap aman, karena temperatur operasi yang rendah antara 40-80oC. Namun karena harga gas hidrogen masih mahal perlu di rancang sistem mobil listrik fuelcell yang seefisien mungkin dengan mempertimbangkan berat kendaraan seringan mungkin agar diperoleh kecepatan yang diinginkan, dan memiliki efisiensi motor listrik yang baik, sehingga keekonomian kendaraan yang dirancang dapat dicapai. Pada penelitian ini fuelcell tipe PEM berdaya 500 Watt di teliti kemungkinan aplikasinya pada mobil listrik ultra ringan.
Evaluation of the Strategy for the Implementation of Solar Power Plants in Indonesia Using SWOT Analysis Nasir, Randy Maulana; Dalimi, Rinaldy
Nusantara Science and Technology Proceedings International Conference of Social Research with Multidisiplinary Approach (ICSRMA) 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1202

Abstract

The demand for electricity in Indonesia is currently growing very massively with an increase in the population of 270 million people, rapid economic growth, as well as the increasing rate of urbanization and large-scale industrialization. Referring to the RUEN, in 2025 renewable energy is projected to increase from 7% to 23%, with the current realization at 11.51% by 2020. In this study, the SWOT method is used to evaluate strategies that have been implemented internally (strengths, weaknesses) and external (opportunities and threats), to achieve the RUEN Target. Based on the results of the study found 5 success factors for the implementation of PV mini-grid, namely economy, environment, marketing, politics, social, and technology. Furthermore, from the SWOT analysis obtained: First, for the social aspect, namely related to population and human resources, each recommended strategy is an aggressive strategy. Second, for the economic aspect, which is related to potential, and the economy, each recommended strategy is an aggressive strategy and a turnaround strategy. Third, for the environmental aspect, the recommended strategy is a diversification strategy. Fourth, for the political aspects, namely regulations and incentives, the recommended strategy is a turnaround strategy. Fifth, for the technological aspect, namely technology, and industrialization, the recommended strategy is aggressive.
The Implementation Model of Premium Tariff to Accelerate the Use of Photovoltaic (PV) Rooftop in Jakarta Prasetya, Muhammad Rezansyah Tangguh; Dalimi, Rinaldy
Nusantara Science and Technology Proceedings International Conference of Social Research with Multidisiplinary Approach (ICSRMA) 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1203

Abstract

The renewable energy mix achievement in 2019 was 10,2 GW still under the national target which is 13,9 GW, where PV Rooftop only contributed for 0,19% (19,57 MW). In order to accelerate the use of PV Rooftop, a Premium Tariff of PV Rooftop need to be implemented by PT. PLN. To set the Premium Tariff research needed to be conducted to obtain the total of Premium Tariff and its implementation. In the implementation, customers will have the PV Rooftop with installment payments, however the excess energy that produced by PV Rooftop stated in Kilowatt Hour (Kwh) does not count as a reduction in the electricity bills until the end of the contract duration. In this research used quantitative and qualitative methods. Quantitative method, a calculation conducted to obtain the Premium Tariff that can be offered to customers. Whereas the qualitative is conducted a survey to see the customer interest on PV Rooftop and the selection of the Premium Tariff offer. In the research results showed 77% customers of R2 (PLN Rate) in Jakarta are interested to use PV Rooftop however constrained by high initial investment. Therefore, installment payment scheme is offered with contract duration of 13 years for the capacity power 3.500 VA, 8 years for 5.500 VA with the Rates ranging from IDR 1.444/Kwh to IDR 3.232/Kwh. With the assumption that 77% customers of R2 Rate in Jakarta used Premium Tariff, it can increase the usage capacity of PV Rooftop by 220 - 800 MW.
Analysis of Sustainable Development Aspects of The Value-Added Mineral Policy for The Raw Materials Industry of Electric Vehicle Battery Using the Analytical Hierarchy Process (AHP) Method Majid, M. Atthar; Dalimi, Rinaldy
Nusantara Science and Technology Proceedings International Conference of Social Research with Multidisiplinary Approach (ICSRMA) 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1204

Abstract

Indonesia is currently heading for a low-carbon economy transition, one of which supports this policy. Through Presidential Decree No. 55 of 2019, the Government issued the Battery-Based Electric Motor Vehicle Program. In support of this program, the Government has a policy of Increasing mineral added value or downstream program implemented since 2009 so that the production of electric vehicle batteries can be produced domestically so that the industry has added value that will affect sustainable development in the sector. There are three criteria for problems affecting mineral downstream policies to inhibit sustainable development from the electric vehicle battery raw material industry: economic, social, and Environmental. In this study, the Analytical Hierarchy Process method determines the priority order of alternative solutions to solve complex multicriteria Problems into a hierarchy. From the results of the Analytical Hierarchy Process analysis, it was concluded that to overcome downstream problems, first is Improving the Governance of Mining and National Intermediate and Downstream Industries (51%), second is Infrastructure Development and Technology Development (31%), and third is Improving Information System Data Availability and Quality (18%).
DISAIN DAN ANALISA PEMBANGKITAN LISTRIK BERBAHAN BAKAR TANDAN KOSONG KELAPA SAWIT Moch Zulfikar Eka Prayoga; Rinaldy Dalimi
Prosiding Semnastek PROSIDING SEMNASTEK 2018
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Studi ini, fokus membahas pemanfaatan energi yang berasal dari limbah Pabrik Kelapa Sawit (PKS) berupa Tandan Kosong Kelapa Sawit (TKKS) untuk menjadi bahan bakar pembangkit listrik tenaga biomasa sawit (selanjutnya disebut PLTBS) dengan kapasitas 1 x 5 MWe. Pembangkitan listrik dari TKKS, pada dasarnya merupakan proses pembakaran yang kemudian menghasilkan uap panas, sehingga menggerakkan turbin uap dan membangkitkan energi listrik. Sebelum dilakukan pembakaran, terlebih dahulu TKKS melalui dua skenario pretreatment guna mengurangi kandungan air (moisture content). Skenario pertama, TKKS dicacah menggunakan alat pencacah hingga mempunyai dimensi panjang sekitar 5 cm. Skenario kedua, TKKS setelah dicacah seperti skenario pertama, dilakukan pengeringan menggunakan peralatan pengering yang memanfaatkan udara panas dari pemanas listrik. Kedua skenario pretreatment menghasilkan penurunan kadar air dari 35%, menjadi 24,5% dan 20%, dengan hasil analisa nilai kalor 3.152 kcal/kg dan 4.185 kcal/kg untuk masing – masing skenario. Hasil dan analisa dari kedua skenario menunjukkan nilai efisiensi boiler 72,96%, energi pembangkitan yang dihasilkan 4.965,17 kcal/kWh, dan efisiensi pembangkit sebesar 17,32%. Perbedaan terdapat pada konsumsi pembakaran pada kedua skenario, yaitu masing-masing 7.587,41 kg/jam dan 5.715,19 kg/jam. Kesimpulan yang didapatkan pada studi ini adalah perbedaan nilai kalor tidak mempengaruhi unjuk kerja pembangkit dan energi yang dihasilkan. Namun, penggunaan TKKS dengan nilai kalor yang lebih tinggi, membutuhkan konsumsi pembakaran yang lebih sedikit daripada TKKS dengan nilai kalor yang rendah.
STRUKTUR JARINGAN SY ARAF TIRUAN (ARTIFICIAL NEURALNETWORK) SINGLE-HIDDEN LA YERUNTUK MODELPREDIKSI SUMBER ENERGI TERBARUKAN TENAGASURY ADI WILA Y AH INDONESIA: Studi Kasus Daerah Sulawesi Bagian Selatan Andhika Prastawa; Rinaldy Dalimi
Jurnal Energi dan Lingkungan (Enerlink) Vol. 9 No. 1 (2013)
Publisher : Badan Pengkajian dan Penerapan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/elk.v9i1.4300

Abstract

Studi T eknik Jaringan Syaraf Tiruan atau Artificial Neural Network (ANN) yang digunakan untuk memprediksi Radiasi Global Surya di suatu lokasi telah banyak diterapkan di dunia. Namun di Indonesia belum dilakukan penerapan teknik tersebut untuk memprediksi potensi energi surya dangan data meteorologi dan Radiasi Global Surya. Dalam penelitian ini dilakukan studi optimalisasi JST untuk Model Prediksi Radiasi Global Surya. Studi optimalisasi dilakukan berdasarkan teorema Cybenko tentang universalitas JST dengan 1 hidden layer, dilanjutkan dengan langkah optimalisasi jumlah neuron pada hidden layer. Pemodelan dilakukan pada studi kasus di 5 lokasi di daerah Sulawesi bagian selatan, menggunakan data meteorologi dan Radiasi Global Surya bulanan selama 5 tahun di 4 lokasi dalam proses training ANN, dan 1 lokasi sebagai target prediksi. Pola feed forward multi-layer ANN digunakan dalam model ini dengan menerapkan metoda pembelajaran back propagation. Hasil menunjukkan bahwa model ANN dengan 1 hidden layer menghasilkan model 2dengan kriteria akurasi yang baik dengan MPE, 2.33% dan r 0,9992 untuk lokasi Majene, lebih baik dibanding penelitian sejenis di lokasi lain oleh peneliti lainnya di dunia. Hal ini menyimpulkan bahwa optimalisasi struktur JST dapat memberikan model yang lebih sederhana namun tetap dapat digunakan untuk prediksi Radiasi Global Surya di Indonesia dengan tingkat akurasi yang masih dapat dipertanggungjawabkan.Kata kunci: radiasi global surya, jaringan syaraf tiruan, feed forward, back propagation, mean square error, single-hidden layer, optimum neuron, energi terbarukan.
PARAMETER CUACA SEBAGAI PREDIKTOR MODEL PREDIKSI POTENSI ENERGI SURYA DI WILAYAH INDONESIA Andhika Prastawa; Rinaldy Dalimi
Jurnal Energi dan Lingkungan (Enerlink) Vol. 10 No. 1 (2014)
Publisher : Badan Pengkajian dan Penerapan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/elk.v10i1.4313

Abstract

Implementation of 100% Electric Vehicle in Bali with the Supply of Potential Independent Solar Energy Sudarno Zensu; Rinaldy Dalimi
International Journal of Mechanical Engineering Technologies and Applications Vol 3, No 1 (2022)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2022.003.01.10

Abstract

Electrical vehicle is the future of transportation. This thesis is about how to transform the usage of fossil fuel vehicle to electrical vehicle in Bali. Bali is an island with the longest distance from one of its districts to Denpasar city is 95,6 km. This distance is reachable by the common electrical vehicle that available in the market now. The usage of the electrical vehicle requires good development and planning, otherwise it will cause problem for the electrical systems. The consumption of electrical energy will increase.  In 2019, Bali used 5,908 GWh electricity in a year. And if all the 2 wheels and 4-wheels vehicles now are electrical vehicle, it will require extra 2,823 GWh per year. It will impact the planning of power generation in Bali.Another challenge for the electrical systems is the duck curve problem. The habit of the user charges their vehicle will also impact the daily load curve of an electrical systems. If all the two wheels and four wheels vehicles now are electrical vehicle, and all   users conduct the charging at the same time in 4 hours duration, the load will increase about 1,934 GW. The practical and applicable solution is the independent power producer concept by the solar PV. If every electric vehicle user installs the solar PV for their electrical vehicle consumption, this will solve all the problem.
Co-Authors Agus R Hoetman Andhika Prastawa Andhika Prastawa Ganesha T Chandrasa Majid, M. Atthar Moch Zulfikar Eka Prayoga Nasir, Randy Maulana Prasetya, Muhammad Rezansyah Tangguh Sudarno Zensu Zuhal Zuhal