Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell

Ashish Yewale; Ravi Methekar; Shailesh Agrawal

doi:10.1016/j.cjche.2020.06.030

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Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell

Process Systems Engineering and Process Safety | Updated：2026-01-06

- Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell
- Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell
- 中国化学工程学报（英文版） 2020年28卷第9期页码：2368-2381
- Affiliations：
  
  Department of Chemical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur,India,440010
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2020.06.030
  中图分类号：
- 纸质出版：2020
- Accepted：
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Ashish Yewale, Ravi Methekar, Shailesh Agrawal. Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell[J]. 中国化学工程学报（英文版）, 2020,28(9):2368-2381.

Ashish Yewale, Ravi Methekar, Shailesh Agrawal. Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell[J]. Chinese Journal of Chemical Engineering, 2020, 28(9): 2368-2381.
Ashish Yewale, Ravi Methekar, Shailesh Agrawal. Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell[J]. 中国化学工程学报（英文版）, 2020,28(9):2368-2381. DOI： 10.1016/j.cjche.2020.06.030.

Ashish Yewale, Ravi Methekar, Shailesh Agrawal. Dynamic analysis and split range control for maximization of operating range of continuous microbial fuel cell[J]. Chinese Journal of Chemical Engineering, 2020, 28(9): 2368-2381. DOI： 10.1016/j.cjche.2020.06.030.

摘要

Abstract

Human development is inherently connected with availability of water and energy. Energy production requires water

whereas water treatment needs energy. On the other hand

microbial fuel cell has capability to produce energy and water simultaneously from waste water or organic matter. In this paper

first principle-based model of variable volume microbial fuel cell is simulated. Hydraulic retention time is selected as the manipulated variable using the study of steady state and dynamic responses. Classical PI and model predictive control strategies are developed for controlling the produced power from the cell

and its performance is tested for servo problem. Settling time for positive and negative set points is found to be 126 and 889 h in case of classical PI and 120 and 750 h in case of linear MPC

respectively along with large increase (three times order of magnitude) in working volume for negative set point. These control challenges are overcome by using split range controller with variable and constant volume microbial fuel cells. The settling time for negative set point is found to be 49 and 21 h for classical PI and linear MPC schemes

respectively

which is significantly lower than using only variable volume microbial fuel cell. Also

there is no increase in the working volume of the constant volume microbial fuel cell. Hence

operating range of the microbial fuel cell is enhanced using split range controller.

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