Optimization of H2S Absorption Toward the Alteration in Flow Rate of Biogas Purification System with Water Scrubber Using Particle Swarm Optimization

被引:2
|
作者
Abdurrakhman, Arief [1 ]
Adhim, Moch Machrus [1 ]
Widjiantoro, Bambang Lelono [2 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Instrumentat Engn, Surabaya 60111, Indonesia
[2] Inst Teknol Sepuluh Nopember, Dept Engn Phys, Surabaya 60111, Indonesia
关键词
D O I
10.1063/1.5046210
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Absorption of H2S is one of the important part in biogas purification.. This process requires a purification system to reduce the content of harmful gas. The maximum tolerance of H2S content for biogas generator set input is 5 ppm, while measured input of H2S in cow manure has a concentration range from 43 to 45.5 ppm. Therefore, it needs proper optimization design to represent the performance of the purification system. Particle Swarm Optimization refers to the process of identifying the best element (according to one or more user-specified criteria) among a set of possible alternatives. In this research, we compare the results from modeling plant and experimental plant in order to the reaction and mass at the biogas purification plant. Based on the experiment plant, measurement of produced biogas shows the reduction of H2S concentration up to 94.5% and produce H2S with concentration of 0.55 ppm. Meanwhile, in modified plant model the reduction of H2S is up to 94.44% with the gas concentration of 0.53 ppm. Validation of plant model has showed the data trend that approaches the measurement results of experimental plant with an average of absolute error of 0.018, respectively.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Chemical absorption of H2S for biogas purification
    Horikawa, MS
    Rossi, F
    Gimenes, ML
    Costa, CMM
    da Silva, MGC
    [J]. BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING, 2004, 21 (03) : 415 - 422
  • [2] FACTS Devices Optimization for Optimal Power Flow Using Particle Swarm Optimization In Sulselrabar System
    Saini, Makmur
    Djalal, Muhammad Ruswandi
    Yunus, A. M. Shiddiq
    Pangkung, Andareas
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (04): : 67 - 71
  • [3] Factors Influencing Chemical Absorption of CO2 and H2S in Biogas Purification: A Review
    Maile, O. I.
    Tesfagiorgis, H. B.
    Muzenda, E.
    [J]. WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2015, VOL II, 2015, : 619 - 622
  • [4] Optimization of Residential PV and Water Heating System's Configration and Operation Using Multi-Objective Particle Swarm Optimization
    Yoshida, Yusuke
    Ueda, Yuzuru
    [J]. 2016 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2016,
  • [5] Mathematical Modeling and Genetic Algorithm Optimization of Reactive Absorption of H2S
    Bashipour, Fatemeh
    Khorasani, Saied Nouri
    Rahimi, Amir
    [J]. CHEMICAL ENGINEERING & TECHNOLOGY, 2014, 37 (12) : 2175 - 2184
  • [6] Comparison of Various Alkaline Solutions for H2S/CO2-Selective Absorption Applied to Biogas Purification
    Dubois, Lionel
    Thomas, Diane
    [J]. CHEMICAL ENGINEERING & TECHNOLOGY, 2010, 33 (10) : 1601 - 1609
  • [7] Modeling of fuel flow-rate of commercial aircraft for the descent flight using particle swarm optimization
    Oruc, Ridvan
    Baklacioglu, Tolga
    [J]. AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2021, 93 (02): : 319 - 326
  • [8] Optimal Power Flow Controller for a Hybrid Renewable Energy System Using Particle Swarm Optimization
    Suchetha, C.
    Ramprabhakar, J.
    [J]. 2019 NATIONAL POWER ELECTRONICS CONFERENCE (NPEC), 2019,
  • [9] Optimization of process variables for particulate laden H2S removal from gasifier syngas in a multistage dual-flow sieve plate scrubber
    Swamy, Kurella
    Meikap, B. C.
    [J]. JOURNAL OF THE INDIAN CHEMICAL SOCIETY, 2020, 97 (12B) : 2783 - 2790
  • [10] H2 OPTIMAL MODEL REDUCTION USING GENETIC ALGORITHMS AND PARTICLE SWARM OPTIMIZATION
    Salim, Reem
    Bettayeb, Maamar
    [J]. 2009 6TH INTERNATIONAL SYMPOSIUM ON MECHATRONICS AND ITS APPLICATIONS (ISMA), 2009, : 364 - 369