Optimization of flocculation efficiency and settling time using chitosan and eggshell as bio-flocculant in Chlorella pyrenoidosa harvesting process

2021 ◽  
Vol 24 ◽  
pp. 101959
Author(s):  
H. Hadiyanto ◽  
Marcelinus Christwardana ◽  
W. Widayat ◽  
Andono Kusuma Jati ◽  
Salsabella Indy Laes
2020 ◽  
Vol 5 (1) ◽  
pp. 49
Author(s):  
Dina Soes Putri ◽  
Desy Ambar Sari ◽  
Lulu Diani Zuhdia

Microalgae-based researches are one of the interesting topics to date due to its wide applications for commercial industries. One of the vital issues that remain in the production of large-scale microalgae is the harvesting process of microalgae culture. There are several techniques that can be used in harvesting microalgae and each algae will be showing a different result. In this research, the microalgae Haematococcus pluvialis were harvested using flocculation-filtration method. Alum in different dosages, range from 0.25-2 g/L, was used as flocculants and the mixing duration was investigated to seek out the best harvesting efficiency. Based on the research, it can be concluded that the optimum flocculation process was alum addition of 1 g/L culture that continuously stirring for 5 minutes long. In which the flocculation efficiency reaches 94.5%.


2020 ◽  
Vol 7 (2) ◽  
pp. 127-134
Author(s):  
Safah Tasya Aprilyani ◽  
Irianto Irianto ◽  
Epyk Sunarno

Penggunaan kontrol sangat diperlukan dalam pengaturan kecepatan motor DC. Dalam pengaturan kecepatan motor DC, salah satu jenis kontrol yang digunakan adalah kontrol Proportional Integral (PI). Untuk 4 jenis metode pada kontrol PI yang digunakan adalah metode Ziegler Nichole, Chien Servo 1, Chien Regulator 1 dan perhitungan secara analitik yang telah diperoleh dari data yang sudah ada.  Namun kontrol dengan PI 4 metode yang digunakan  sebagai pembanding memiliki waktu respon kecepatan saat stabil cenderung lambat baik dari nilai settling time, rise time dan steady state. Maka dari itu dilakukan komparasi antara 4 metode kontrol PI dengan penggunaan kontrol fuzzy. Dalam membandingkan antara 4 metode kontrol PI dan kontrol fuzzy terdapat beberapa parameter sebagai perbandingan yaitu maximum overshoot, steady state, rise time dan settling time. Hasil dari perbandingan tersebut adalah kontrol fuzzy dapat menghasilkan performa lebih baik jika dibandingkan dengan 4 metode pada kontrol PI. Kontrol fuzzy memiliki nilai rise time sebesar 0,015 detik, nilai settling time sebesar 0,025 detik dengan kecepatan sebesar 2900 rpm serta error steady state sebesar 3,33% tanpa adanya overshoot dan osilasi.


JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.


2014 ◽  
Vol 134 (12) ◽  
pp. 989-996 ◽  
Author(s):  
Yusuke Hirama ◽  
Hiroto Hamane ◽  
Kazuyoshi Miyazaki
Keyword(s):  

Author(s):  
D. Domushchi ◽  
P. Ustuyanov ◽  
Y. Enakiev ◽  
A. Lipin

In agriculture, the components of production cycles are likely (stochastic) in nature. This is especially true for harvesting. The duration of this period depends on the weather conditions, the biology of plant development, the variety of culture, the composition of the soil, agro technical techniques, etc. In connection with this, there is a need for scientific and production searches for such forms of organization of the harvesting process that would allow harvesting in short agronomic terms and substantially reduce due to this loss. The purpose of the research is to substantiate the structure and composition of the technology of harvesting and transport complexes for different technologies of harvesting cereal crops by operational and energy indicators to reduce the material and energy costs of harvesting. To calculate the comparative estimation of energy costs of complex fuel and operating costs for different harvesting technologies of winter wheat, four technologies are considered: traditional technology - direct harvesting without straw shredding; traditional technology - separate harvesting; zero technology - the use of harvesting equipment of domestic production; Zero technology - the use of harvesting techniques imported production. For these technologies, according to the methodology of the latest scientific research, technological maps for the harvesting of winter wheat have been developed. A comparative analysis of operational and energy costs of harvesting winter wheat indicated that the least cost is zero technology using domestic production technology, and the most expensive is conventional technology with direct combine harvesting. The presented results of researches of various technologies of grain cereal harvesting according to the structure and composition of equipment of harvesting and transportation complexes indicated that reduction of operational and energy expenses is possible due to increase of productivity, reduction of book value and quantity of harvesting equipment in the composition of harvesting - transport complexes at performance of works in optimal agro technical terms with minimal crop losses.


2015 ◽  
Vol 2015 (19) ◽  
pp. 2162-2177 ◽  
Author(s):  
Alan Grooms ◽  
Steve Reusser ◽  
Aaron Dose ◽  
Ahren Britton ◽  
Ram Prasad

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