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Multi-objective optimization and dynamic control of biogas pressurized water scrubbing process

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  • Gao, Shida
  • Bo, Cuimei
  • Li, Jun
  • Niu, Chao
  • Lu, Xiaohua

Abstract

For the biogas pressurized water scrubbing process, a plant-level optimizing control system based on the enhanced non-dominated sorting genetic algorithm (NSGA-II) is researched in this paper. According to the technological requirements of the biogas pressurized water scrubbing process, a steady state simulation system is established using Aspen Plus to analyze the constraint domain of the manipulated variables and optimize the operational variables. Under the multi-objective function of the total operating cost and purification effect, the Pareto optimal solutions with the constraints of feasible region of several variables are obtained using the NSGA-II algorithm. A plant-level dynamic control scheme is designed based on the optimal operating variables, and tested using the Aspen Dynamic simulation system. At last a pilot experimental device is developed based on the above optimized operating variables and the control scheme for the biogas pressurized water scrubbing process. The experimental results show that the system has good dynamic response performance, such as the removal rate of CO2 is greater than 99.8% under various disturbances.

Suggested Citation

  • Gao, Shida & Bo, Cuimei & Li, Jun & Niu, Chao & Lu, Xiaohua, 2020. "Multi-objective optimization and dynamic control of biogas pressurized water scrubbing process," Renewable Energy, Elsevier, vol. 147(P1), pages 2335-2344.
  • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:2335-2344
    DOI: 10.1016/j.renene.2019.10.022
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    References listed on IDEAS

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    1. Jiang, Xinyuan & Sommer, Sven G. & Christensen, Knud V., 2011. "A review of the biogas industry in China," Energy Policy, Elsevier, vol. 39(10), pages 6073-6081, October.
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    3. Läntelä, J. & Rasi, S. & Lehtinen, J. & Rintala, J., 2012. "Landfill gas upgrading with pilot-scale water scrubber: Performance assessment with absorption water recycling," Applied Energy, Elsevier, vol. 92(C), pages 307-314.
    4. Rotunno, Paolo & Lanzini, Andrea & Leone, Pierluigi, 2017. "Energy and economic analysis of a water scrubbing based biogas upgrading process for biomethane injection into the gas grid or use as transportation fuel," Renewable Energy, Elsevier, vol. 102(PB), pages 417-432.
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