Micro photosynthetic cell for power generation from algae: Bio-electrochemical modeling and verification

Author:

Tanneru Hemanth Kumar1,Suresh Resmi1,Ramanan Aravind Vyas2,Mehdi Shahparnia2,Packirisamy Muthukumaran2,Pillay Pragasen3,Williamson Sheldon4,Juneau Philippe5,Rengaswamy Raghunathan1

Affiliation:

1. SENAI, Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

2. Optical Bio-MEMS Laboratory, Department of Mechanical Engineering, Concordia University, Montréal, QC, H3G1M8, Canada

3. P.D Ziogas Power Electronics Laboratory, Department of Electrical and Computer Engineering, Concordia University, Montréal, QC, H3G1M8, Canada

4. Department of Electrical, Computer and Software Engineering, University of Ontario Institute of Technology, Oshawa, ON, L1H7K4, Canada

5. Department of Biological Sciences, Université du Québec à Montréal (UQAM), Montréal, QC, H3C 3P8, Canada

Abstract

A simple first-principles mathematical model is developed to predict the performance of a micro photosynthetic power cell ([Formula: see text]PSC), an electrochemical device which generates electricity by harnessing electrons from photosynthesis in the presence of light. A lumped parameter approach is used to develop a model in which the electrochemical kinetic rate constants and diffusion effects are lumped into a single characteristic rate constant [Formula: see text]. A non-parametric estimation of [Formula: see text] for the [Formula: see text]PSC is performed by minimizing the sum square errors (SSE) between the experimental and model predicted current and voltages. The developed model is validated by comparing the model predicted [Formula: see text] characteristics with experimental data not used in the parameter estimation. Sensitivity analysis of the design parameters and the operational parameters reveal interesting insights for performance enhancement. Analysis of the model also suggests that there are two different operating regimes that are observed in this [Formula: see text]PSC. This modeling approach can be used in other designs of [Formula: see text]PSCs for performance enhancement studies.

Publisher

World Scientific Pub Co Pte Lt

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