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All Journal Jurnal Riset Teknologi Pencegahan Pencemaran Industri
Yose Andriani
Balai Besar Teknologi Pencegahan Pencemaran Industri
Chemical Engineering, Chemistry & Bioengineering Chemistry Energy Engineering Environmental Science

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Wet Scrubber Performance Optimization Application Assisted with Electrochemical-Based Ammonia Sensors Ikha Rasti Julia Sari; Januar Arif Fatkhurrahman; Bekti Marlena; Nani Harihastuti; Farida Crisnaningtyas; Yose Andriani; Nasuka Nasuka
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 10 No. 2 (2019)
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2019.v10.no2.p36-42

Abstract

Crumb rubber is one of Indonesia’s agroindustry export commodities. This industry faces environmental problems due to their wastes, both liquid and air. The source of air pollution is commonly from drying process that emitted odor from its evaporation and heating phenomena. Industry uses wet scrubber technology as air pollution control from emitted odor from drying process. Preliminary identification in noncontrolled wet scrubber shown that wet scrubber efficiency around 47%. Low efficiency wet scrubbing process causes rain drop of water vapor around drying process. This research used electrochemical based sensor MICS 5524 as ammonia monitoring instrument, assisted with arduino as microcontroller to regulate water discharge through valve controlling scrubbing process. This electrochemical based sensor reads ammonia based on voltage reads by Arduino microcontroller. Ammonia reading then control scrubbing process by adjusting valve opening for spray water distribution. Wet scrubber efficiency increases to 66,96% due to water scrubbing control, also can save water utilization as high as 61,90%, followed by absence of rain drop contains ammonia around drying process area.
DOAS Calibration Technique for SO2 Emission Measurement Based on H2SO4 and Na2SO3 Reaction Januar Arif Fatkhurrahman; Ikha Rasti Julia Sari; Yose Andriani; Moh Syarif Romadhon; Nur Zen; Adi Prasetio; Ali Murtopo Simbolon
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 11 No. 1 (2020)
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2020.v11.no1.p36-45

Abstract

The coal used as a primary fuel in an Indonesian power plant produces sulfur dioxide emission from its burning process. Several testing and monitoring methods developed, from laboratory analysis, CEMs based instrument, and absorption spectroscopy method developed for this purpose. Differential Optical Absorption Spectroscopy (DOAS) method based on Lambert-Beer law used as emission quantification. DOAS instrumentation developed in this research to measure sulfur dioxide as one of the emission parameters. Sulfur dioxide generated from the reaction between the sulfuric acid and dilute sodium sulfite. CCD spectrometer used to measure sulfur dioxide spectrum intensity at 260 to 350 nm absorption cross-section. There is a high correlation between sulfur dioxide gas produced by that reaction to spectrum intensity, with coefficient determination (r2) 0.9783, 0.9822, 0.9866, 0.9928 or coefficient correlation (r) 0.989, 0.991, 0.993, and 0.996 from lowest range concentration to highest range concentration. Precision analysis from gas calibration standard using Horwitz ratio indicates instrument setup precise enough with 0.504 Horwitz ratio, according to its acceptable range. The suspended particulate matter may interfere with UV penetration into CCD detector in emission simulation test using gasoline generator exhaust that causes 2.5 times deviation error between typical 800 ppm concentrated sulfur dioxide from chemical reaction and gasoline generator exhaust.
Co-Authors Adi Prasetio Ali Murtopo Simbolon Ali Murtopo Simbolon Bekti Marlena Farida Crisnaningtyas Ikha Rasti Julia Sari Januar Arif Fatkhurrahman Januar Arif Fatkhurrahman Januar Arif Fatkhurrahman Moh Syarif Romadhon Moh Syarif Romadhon Nani Harihastuti Nasuka Nasuka Nur Zen