Rahmat Adiprasetya Al Hasibi, Rahmat Adiprasetya
Universitas Muhammadiyah Yogyakarta

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The Analysis of CO2 Emission Reduction Scenarios in Industry Sector of Yogyakarta Province of Indonesia Al Hasibi, Rahmat Adiprasetya
Jurnal Semesta Teknika Vol 14, No 1 (2011): MEI 2011
Publisher : Jurnal Semesta Teknika

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Abstract

The final energy demand and energy-related CO2 emission in industrial sector of Yogyakarta Province were analyzed in this study. The potential of energy saving and reduction of CO2 emission were estimated. The analysis was based on energy model. The model was constructed by LEAP model that describe the pattern of energy demand in industrial sector. Energy modeling and scenario analysis were used to simulate the impacts of various policies in energy demand and CO2 emission. Three scenarios were implemented in the model. Initially, the model was developed under business as usual (BAU) scenario that include current situation of energy-related activity in industrial sector. 2008 was selected as base year with projection period was terminated in 2025. Then, two alternative scenarios were developed that focus on energy efficiency improvement (EE scenario) and fuel switching to cleaner fuel (FS scenario). The two alternative scenarios were integrated into mitigation scenario. The result of alternative and mitigation scenario compare to BAU scenario in term of the final energy demand and energy-related CO2 emission. The result of the model showed the potential of energy saving by implementing mitigation scenario is 24.16% compare to BAU scenario. The expected reduction of CO2 emission under mitigation scenario is 20.22% compare to BAU scenario.
Peran Sumber Energi Terbarukan dalam Penyediaan Energi Listrik dan Penurunan Emisi CO2 di Provinsi Daerah Istimewa Yogyakarta Al Hasibi, Rahmat Adiprasetya
Jurnal Semesta Teknika Vol 13, No 2 (2010): NOVEMBER 2010
Publisher : Jurnal Semesta Teknika

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Electrical energy modelling involving renewable energy was produce using LEAP software. The model is based on electrical energy demand, renewable energy potential, and development planning in Yogyakarta Province. Renewable energy sources that have been simulated in this model are solar energy, wind energy, and micro hydro energy. The model describes the role of renewable energy in producing electrical energy to supply electrical energy demand in Yogyakarta Province. Furthermore, the role of renewable energy in CO2 emission reduction has also been simulated by the model. By optimal development, renewble energy gives 11,86 % share of electrictiy demand and reduce CO2 emission by 11,62%.
Konsep Pengatur Lalu-Lintas Sinkron Adaptif Kepadatan Untuk Solusi Minimalisasi Durasi Waktu Tunggu Kendaraan Kurniawan, Freddy; Al Hasibi, Rahmat Adiprasetya
Jurnal Semesta Teknika Vol 10, No 2 (2007): NOVEMBER 2007
Publisher : Jurnal Semesta Teknika

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To minimize travel time in a highway, some traffic controllers must be synchronized to the other. Intersection controllers of an area are interconnected with a communication network through which synchronization information is exchanged. The main purpose of synchronized traffic control system is to minimize the waiting time of almost all vehicles in each traffic light. Green and duration time of all traffic control system are derived from some parameters such as adjacent green time, vehicle speed and acceleration, and estimation of travel time.  
PEMODELAN PENGOREKSI FAKTOR DAYA OTOMATIS UNTUK BEBAN LISTRIK BERVARIASI Al Hasibi, Rahmat Adiprasetya; Kurniawan, Freddy
Jurnal Teknologi Vol 4 No 2 (2011): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

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Abstract

Faktor daya adalah salah satu masalah dalam peningkatan kualitas tenaga listrik. Dalam banyak kasus, faktor daya yang rendah menyebabkan pembeorosan energi listrik. Dalam sektor komersial dan industri besar, bank kapasitor biasanya digunakan dalam suatu sistem kapasitor terpusat dalam sebuah ruang untuk keperluan koreksi faktor daya. Namum, perubahan daya listrik yang dikonsumsi oleh peralatan listrik yang dioperasikan setiap saat memerlukan perubahan dalam kapasitas kapasitor yang harus mengimbangi sifat induktif dari peralatan listrik yang dioperasikan. Sebuah sistem nilai yang dapat memberikan nilai kapasitas kapastiro yang sesuai untuk memperbaiki faktor daya dibutuhkan pada sebuas sistem dengan perubahan dinamis yang terdapat pada beban listrik.
The Analysis of CO2 Emission Reduction Scenarios in Industry Sector of Yogyakarta Province of Indonesia Al Hasibi, Rahmat Adiprasetya
Semesta Teknika Vol 14, No 1 (2011): MEI 2011
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v14i1.568

Abstract

The final energy demand and energy-related CO2 emission in industrial sector of Yogyakarta Province were analyzed in this study. The potential of energy saving and reduction of CO2 emission were estimated. The analysis was based on energy model. The model was constructed by LEAP model that describe the pattern of energy demand in industrial sector. Energy modeling and scenario analysis were used to simulate the impacts of various policies in energy demand and CO2 emission. Three scenarios were implemented in the model. Initially, the model was developed under business as usual (BAU) scenario that include current situation of energy-related activity in industrial sector. 2008 was selected as base year with projection period was terminated in 2025. Then, two alternative scenarios were developed that focus on energy efficiency improvement (EE scenario) and fuel switching to cleaner fuel (FS scenario). The two alternative scenarios were integrated into mitigation scenario. The result of alternative and mitigation scenario compare to BAU scenario in term of the final energy demand and energy-related CO2 emission. The result of the model showed the potential of energy saving by implementing mitigation scenario is 24.16% compare to BAU scenario. The expected reduction of CO2 emission under mitigation scenario is 20.22% compare to BAU scenario.