Modeling and Optimization of Microalgae Drying for Power Generation

Liu, Jin; Gebreegziabher, Tesfaldet Gebregerges; Zhang, Yu; Oyedun, Adetoyese Olajire; Zhu, Yi; Wang, Maojian; Hui, Chi Wai

doi:10.1016/j.egypro.2014.11.931

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…If direct combustion is selected as a technique for thermochemical conversion, then it is only feasible with biomass material that has a moisture content of less than 50% [ 11 ]. Many researchers have tried to address this inherent drawback [ 12 , 13 , 14 , 15 , 16 , 17 ]. Although water removal from algae biomass is yet to achieve an economically reasonable cost, studying the high-quality and valuable fuels generated from microalgae species is still beneficial.…”

Section: Introductionmentioning

confidence: 99%

Thermogravimetric analysis of the combustion of marine microalgae Spirulina platensis and its blend with synthetic waste

Sukarni

2020

Heliyon

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The thermal decomposition of the microalgae Spirulina platensis, synthetic wastes, and their blends under an oxidative atmosphere and their kinetic parameters were investigated using a thermogravimetric analyzer. Three stages were observed during the combustion of the blended fuels, and two distinct peaks occurred in the second stage. A kinetic analysis during combustion was studied according to the fitting method proposed by Coats-Redfern and Horowitz-Metzger. The addition of the microalgae to the synthetic waste led to an increase in the apparent activation energies in Zone I in the second stage, whereas an increasing proportion of the microalgae in the blends resulted in decreasing apparent activation energies in Zone II in the second stage.

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Section: Introductionmentioning

confidence: 99%

Thermogravimetric analysis of the combustion of marine microalgae Spirulina platensis and its blend with synthetic waste

Sukarni

2020

Heliyon

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“…3 During the drying process, the wet solid exposed to air at a given temperature and humidity will lose water until an equilibrium condition is established with the environment. 4 These changes of heat and water content can be modeled through theoretical or empirical approaches, [5][6][7] or by applying the principles of energy and mass transfer, and by a set of empirical and constitutive equations, which must be established to complete the mathematical model. Based on such principles, several mathematical models have been proposed to describe the drying process, [8][9][10][11][12][13][14][15][16][17] among which the so-called multiphase model has been shown to be accurate and effective.…”

Section: Introductionmentioning

confidence: 99%

Modeling, simulation, and optimization of a microalgae biomass drying process

et al. 2019

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Summary The aim of the present work was to develop a transient mathematical model focused on microalgae biomass drying, considering two phases: solid (wet biomass) and gas (drying air). Mass and thermal energy balances were written for each phase producing a system of ordinary differential equations (ODE). The solution of the ODE set delivers the temperature and air humidity ratio and biomass profiles with respect to time. The numerical results were directly compared with temperature experimental measurements—for both phases—and with the biomass humidity content. Data from experiment 1 were used to carry out the mathematical model adjustment, whereas data from experiment 2 were used for the experimental validation of the model. The model was adjusted by proposing a new correlation for the mass transfer coefficient and by calibrating the heat transfer coefficient. The transient numerical results were in good quantitative and qualitative agreement with the experimental results, ie, within the experimental error bars. Then the experimentally validated mathematical model was utilized to optimize the following parameters: (i) the electric heater power ( Q̇res) and the dry air mass flow rate ( ṁda) and (ii) the convection oven length to width ratio (L/W). The goal was to minimize system energy consumption (objective function). The optimization procedure was subject to the following physical constraints: (i) fixed convection oven total volume and (ii) fixed biomass and drying air contact surface area. For the oven original geometry, Q̇italicres,italicopt = 3.0 kW and ṁitalicda,italicopt = 9 g s−1 were numerically found for minimum energy consumption, so that 36.9% and 43.5% energy consumption decreases were obtained, respectively, in comparison with the measurements of experiment 1. Next, the numerical geometric optimization found (L/W)opt = 9, with Q̇italicres,italicopt and ṁitalicda,italicopt, which was capable to reach a 51.6% energy consumption reduction in comparison with the original system tested in experiment 1. The novelty of this work consists of the development and experimental validation of a physically based microalgae biomass drying mathematical model, ie, instead of using empirical correlations to predict the drying time and temperature profiles and then minimize system energy consumption. Therefore, the results show that it is reasonable to state that the model could be used to design, control, and optimize drying systems with configurations similar to the one analyzed in this study.

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Microalgae cultivation in sugarcane vinasse: Selection, growth and biochemical characterization

Santana

Cereijo

Teles

et al. 2017

Bioresource Technology

130

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Sugarcane ethanol is produced at large scale generating wastes that could be used for microalgae biomass production in a biorefinery strategy. In this study, forty microalgae strains were screened for growth in sugarcane vinasse at different concentrations. Two microalgae strains, Micractinium sp. Embrapa|LBA32 and C. biconvexa Embrapa|LBA40, presented vigorous growth in a light-dependent manner even in undiluted vinasse under non-axenic conditions. Microalgae strains presented higher biomass productivity in vinasse-based media compared to standard Bold's Basal Medium in cultures performed using 15L airlift flat plate photobioreactors. Chemical composition analyses showed that proteins and carbohydrates comprise the major fractions of algal biomass. Glucose was the main monosaccharide detected, ranging from 46% to 76% of the total carbohydrates content according to the strain and culture media used. This research highlights the potential of using residues derived from ethanol plants to cultivate microalgae for the production of energy and bioproducts.

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Modeling and Optimization of Microalgae Drying for Power Generation

Cited by 4 publications

References 3 publications

Thermogravimetric analysis of the combustion of marine microalgae Spirulina platensis and its blend with synthetic waste

Thermogravimetric analysis of the combustion of marine microalgae Spirulina platensis and its blend with synthetic waste

Modeling, simulation, and optimization of a microalgae biomass drying process

Microalgae cultivation in sugarcane vinasse: Selection, growth and biochemical characterization

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