Design and construction of a micro-photo bioreactor in order to dairy wastewater treatment by micro-algae: parametric study

Valizadeh, Kamran; Davarpanah, Afshin

doi:10.1080/15567036.2019.1588425

Cited by 47 publications

(20 citation statements)

References 54 publications

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“…In this work, parametric sensitivity analyses were carried out to investigate the effects of several parameters on optimal performance of various modes of SMBR operations. Parametric studies have been widely used in the design and analyses of chemical reactors [39,40]. Following the strategy suggested by Xu et al [41], multipliers were applied to adjust some of the parameters.…”

Section: Model Parametersmentioning

confidence: 99%

Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

et al. 2021

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Simulated moving bed reactor (SMBR), a multicolumn multifunctional integrated reactor system, which can be exploited with on-site adsorptive separation to enhance conversion of equilibrium-limited reversible chemical reaction. In this article, for generality, a dimensionless SMBR model was developed and effects of five representative temperature distributions among different zones on the performance of an SMBR for reversible reaction in the general form of a reactant decomposed to two products were evaluated based on simultaneous maximization of unit throughput and product purity. Multipliers were applied to adjust some of the model parameters such that different operation modes can be compared under various conditions in the parametric space. The multiobjective optimization problems were solved using the non-dominated sorting genetic algorithm. All simulations were carried out using FORTRAN codes. The results showed that both kinetics and adsorptive separation play important roles in SMBR. When kinetics is fast or adsorptive potency of the reactant is higher than the desired product (B) but lower than byproduct (C), non-isothermal operation can significantly improve unit throughput. On the contrary, feed concentration and reaction enthalpy have minor effects on the optimal solutions. Decision variables based on flow rate ratios and internal concentration profiles were used to explain the trends of Pareto optimal solution.

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Section: Model Parametersmentioning

confidence: 99%

Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

et al. 2021

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“…where subscripts Eva, Gen, and p denote evaporator, generator, and chiller's pump. Mass and energy balances and energy efficiencies for each component of the proposed system are summarized in Table 2 [34,40,41,[45][46][47]. In Table 1 Q represent power and heat transfer rates.…”

Section: Mass and Energy Balancesmentioning

confidence: 99%

Energy, Exergy, Economic, and Exergoenvironmental Analyses of a Novel Hybrid System to Produce Electricity, Cooling, and Syngas

et al. 2020

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Efficient solar and wind energy to electricity conversion technologies are the best alternatives to reduce the use of fossil fuels and to evolve towards a green and decarbonized world. As the conventional photovoltaic systems use only the 600–1100 nm wavelength range of the solar radiation spectrum for electricity production, hybrid systems taking advantage of the overall solar radiation spectrum are gaining increasing interest. Moreover, such hybrid systems can produce, in an integrated and combined way, electricity, heating, cooling, and syngas through thermochemical processes. They have thus the huge potential for use in residential applications. The present work proposes a novel combined and integrated system for residential applications including wind turbines and a solar dish collector for renewables energy harvesting, an organic Rankine cycle for power production, an absorption chiller for cold production, and a methanation plant for CH4 production from captured CO2. This study deals with the energy, exergy, economic, and exergoenvironmental analyses of the proposed hybrid combined system, to assess its performance, viability, and environmental impact when operating in Tehran. Additionally, it gives a clear picture of how the production pattern of each useful product depends on the patterns of the collection of available renewable energies. Results show that the rate of methane production of this hybrid system changes from 42 up to 140 Nm3/month, due to CO2 consumption from 44 to 144 Nm3/month during a year. Moreover, the energy and exergy efficiencies of this hybrid system vary from 24.7% and 23% to 9.1% and 8%, respectively. The simple payback period of this hybrid system is 15.6 and the payback period of the system is 21.4 years.

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“…Recently, numerous studies have been done for the reclamation of different types of wastewaters. Out of them, Valizadeh and Davarpanah (2020) in their parametric study on dairy wastewater treatment using Chlorella vulgaris obtained 42.57% of COD removal efficiency. Gaughy et al (2019) through their study on the treatment of wastewater produced from hydrothermally treated septage using Chlorella sp.…”

Section: Algal Wastewater Treatmentmentioning

confidence: 99%

Sustainable approaches towards wastewater treatment using algal technology along with management of post-harvest biomass

Kumar¹,

Kothari²,

Kumari³

et al. 2020

Advances in Environmental Pollution Management: Wastewater Impacts and Treatment Technologies

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Design and construction of a micro-photo bioreactor in order to dairy wastewater treatment by micro-algae: parametric study

Cited by 47 publications

References 54 publications

Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

Energy, Exergy, Economic, and Exergoenvironmental Analyses of a Novel Hybrid System to Produce Electricity, Cooling, and Syngas

Sustainable approaches towards wastewater treatment using algal technology along with management of post-harvest biomass

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