Fermentative hydrogen production using a real-time fuzzy controller

Computational intelligence approach for modeling hydrogen production: a review

“…Artificial neural network 1 (Jha, Kana, & Schmidt, 2017) To optimize the hydrogen yield and Chemical Oxygen Demand removal efficiency in a UASB bioreactor 2 (Hossain, Ayodele, Cheng, & Khan, 2016) To estimate the produced hydrogen-rich syngas through methane dry reforming process over Ni/CaFe2O4 catalysts 3 (Karaci, Caglar, Aydinli, & Pekol, 2016) To model the thermochemical conversion process (i.e. hydrogen gas production from waste materials) 4 (Whiteman & Kana, 2014) To predict the bio-hydrogen production process 5 (El-Shafie, 2014) To estimate the bio-hydrogen yield 6 (Rosales-Colunga, García, & Rodríguez, 2010) To estimate the biohydrogen production during fermentative processes ANFIS and other fuzzy methods 1 (Shabanian, Edrisi, & Khoram, 2017) To estimate the hydrogen production and to optimize the production process for reaching the maximum production yield and energy efficiency 2 (Aghbashlo, Hosseinpour, Tabatabaei, Younesi, & Najafpour, 2016) Exegetically optimization of the operational conditions of the photo-bioreactor for bio-hydrogen production during water gas shift (WGS) reaction using a multi-objective hybrid optimization technique 3 (Woo, 2014) To analyze the safety of nuclear power plants production of hydrogen 4 (Chang, Hsu, & Chang, 2011) To choose the most appropriate hydrogen production technology using an evaluating method: application in Taiwan 5 (Huang et al, 2012) To develop an online system for bio-hydrogen production through monitoring control approach. 6 (Heo, Kim, & Cho, 2012) To evaluate the hydrogen production using six alternative methods include: biomass gasification (BG), NPE, coal gasification (CG), steam methane reforming (SMR), wind electrolysis (WE), and by-product hydrogen 7 (Thengane, Hoadley, Bhattacharya, Mitra, & Bandyopadhyay, 2014) To compare different hydrogen production methods from view point of cost benefit approach GA and related algorithms 1 (Mu & Yu, 2007) To model the steady-state performance of a GB hydrogen production through UASB reactor 2 (Wang & Wan, 2009) To increase the hydrogen production yield 3 (Li & Lu, 2017) To obtain the optimal value of the varying temperatures (i.e.…”

On-line heuristic optimization strategy to maximize the hydrogen production rate in a continuous stirred tank reactor

“…In that study, a dynamic optimization combining an optimal closed-loop control with state and input variable estimations by an asymptotic observer was investigated. In another study, a fuzzy control-based on-line optimization strategy was examined to maximize productivity by determining the optimal pH and temperature, according to a set of inference rules [21].…”

Open Source Software to Control Bioflo Bioreactors

“…In industry, bioreactors are commonly used to facilitate substrate to product conversion processes in fermentation and cell culturing. Continuous and rigid control of the environment is important to optimize product yields of chemical by-product or total cell biomass [1] , [2] . In a research setting bioreactors are used for experiments that require careful control of environmental parameters.…”