Thermal Design of a Biohydrogen Production System Driven by Integrated Gasification Combined Cycle Waste Heat Using Dynamic Simulation

• Main Authors: Ahn, J. (Author), Fakhrulrezza, M. (Author), Lee, H.-J (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: Bio-hydrogen; bio-hydrogen application; Bio-hydrogen application; Bio-hydrogen production; Bioreactors; Carbon capture; Developed model; Digital storage; dynamic simulation; Dynamics simulation; heat and mass transfer; Heat and mass transfer; Heat transfer; Hydrogen production; Hydrogen storage; Integrated Gasification Combined Cycle power plants; Mass transfer; Mean square error; Mixing; Production system; Systems-driven; Tanks (containers); Waste heat; waste heat application; Waste heat application
• Online Access: View Fulltext in Publisher

 Utilizing biological processes for hydrogen production via gasification is a promising alternative method to coal gasification. The present study proposes a dynamic simulation model that uses a one-dimensional heat-transfer analysis method to simulate a biohydrogen production system. The proposed model is based on an existing experimental design setup. It is used to simulate a biohydrogen production system driven by the waste heat from an integrated gasification combined cycle (IGCC) power plant equipped with carbon capture and storage technologies. The data from the simulated results are compared with the experimental measurement data to validate the developed model’s reliability. The results show good agreement between the experimental data and the developed model. The relative root-mean-square error for the heat storage, feed-mixing, and bioreactor tanks is 1.26%, 3.59%, and 1.78%, respectively. After the developed model’s reliability is confirmed, it is used to simulate and optimize the biohydrogen production system inside the IGCC power plant. The bioreactor tank’s time constant can be improved when reducing the operating volume of the feed-mixing tank by the scale factors of 0.75 and 0.50, leading to a 15.76% and 31.54% faster time constant, respectively, when compared with the existing design. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.