Model predictive control of pH in tubular photobioreactors

Berenguel, Manuel; Rodríguez, Francisco; Acién, F.G.; García, José Luis Sánchez

doi:10.1016/j.jprocont.2003.07.001

Cited by 109 publications

(71 citation statements)

References 5 publications

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“…In the presented approach, it is considered that pH culture is the process output, the aperture of injection valve is the process input and solar irradiance is the measurable system disturbance. Such a relationship can be characterized by simplified linear models [14,30].…”

Section: Raceway Reactor Dynamics and Modelsmentioning

confidence: 99%

“…The model structure is developed considering distribution of the actuators and sensor, the reactor architecture and dominant dynamics in measured data. The developed model relates the carbon dioxide injections (input variable) with pH (output variable) and is given by following structure [14,30]:…”

Section: Raceway Reactor Dynamics and Modelsmentioning

confidence: 99%

“…Due to a low complexity of the model, there exist modelling errors, which makes the presented approach more realistic from a practical point of view [14,30]. Once the simplified models for pH control have been obtained, the corresponding control schemes are built.…”

Section: Raceway Reactor Dynamics and Modelsmentioning

confidence: 99%

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Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study

et al. 2018

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Abstract:In this work, the evaluation of a predictive feedforward compensator is provided in order to highlight its most important advantages and drawbacks. The analyzed technique has been applied to microalgae production process in a raceway photobioreactor. The evaluation of the analyzed disturbance rejection schemes were performed through simulation, considering a nonlinear process model, whereas all controllers were designed using linear model approximations resulting in a realistic evaluation scenario. The predictive feedforward disturbance compensator was coupled with two feedback control techniques, PID (Proportional-Integral-Derivative) and MPC (Model Predictive Control) that are widely used in industrial practice. Moreover, the classical feedforward approach has been used for the purpose of comparison. The performance of the tested technique is evaluated with different indexes that include control performance measurements as well as biomass production performance. The application of the analyzed compensator to microalgae production process allows us to improve the average photosynthesis rate about 6% simultaneously reducing the energy usage about 4%.

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Section: Raceway Reactor Dynamics and Modelsmentioning

confidence: 99%

Section: Raceway Reactor Dynamics and Modelsmentioning

confidence: 99%

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Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study

et al. 2018

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“…(1) (2) (3) (4) The distribution of these inorganic carbon species is pHdependent as shown in Fig.1 Media pH is an important factor that could identify availability of inorganic carbon species for an aquatic photosynthetic organism and is one of crucial parameters influencing growth of algae [4][5][6][7][8][9][10][11][12]. According to Bano and Siddiqui, cyanobacterial species preferred to grow near neutral to alkaline pH and have growth optimum at near neutral [13][14].…”

Section: Introductionmentioning

confidence: 99%

Saturated pH and Total Inorganic Carbon from CO2 Solubility Related to Algal Growth

Bayless¹,

Stuart²

2016

International Advanced Research Journal in Science, Engineering

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Solubility of CO 2 in media formed one-or-more of four forms of inorganic carbon species: carbonic acid, aqueous carbon dioxide, bicarbonate, and carbonate and generated hydrogen ion affecting the medium pH. The saturated TIC and pH were studied using RO water, RO+, GM and GM+ with air (0.038%), 0.5%, 1.0%, 1.5%, 2.0% and 10% CO 2 under atmospheric pressure at temperatures of 25, 35, 45, and 55˚C. Chemical species existing in the media formed additional inorganic carbon species functioning as a buffer, resulting in raising the medium pH. The NaOH boosted the TIC holding capacity of the media and improved the saturated pH. At a specific CO 2 -enriched air and medium, the saturated pH linearly increased with respect to increased temperature, which implied the decreasing of TIC. However, the saturated TIC concentration nonlinearly decreased with respect to temperature. At a specific medium and temperature, the saturated pH nonlinearly decreased with respect to increased CO 2 concentration whereas the TIC concentration linearly increased with respect to increased CO 2 -enriched air. At a specific CO 2 -enriched air, medium and temperature, increasing of TIC concentration decreased the medium pH. The saturated TIC and pH became stable at a same period of time; however, the correlation of the TIC and pH was invalid. The saturated pH can be used to specify the saturation condition of TIC.

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“…Em comparação com a produção de sementes oleaginosas que diz respeito à produção de biodiesel, algumas culturas de microalgas têm inúmeras vantagens devido a sua biodiversidade, tais como, podem dobrar sua biomassa em pequeno espaço de tempo, em fotobiorreatores bem estruturados podem absorver grande quantidade de energia solar, têm lipídeos de alta densidade, fornecem uma produtividade (litros de óleo produzido por hectare por ano) de até dez vezes maior do que as oleaginosas podendo ser cultivadas em áreas não apropriadas para a agricultura e geram menos resíduos [2,5,10]. 1 robertlarabr@gmail.com 2 andrebmariano@gmail.com 3 vargasjvcv@gmail.com Fatores como radiação solar incidente nos tubos, pH, nutrientes e temperatura do meio de cultivo comprometem fortemente o cultivo das microalgas, pois influenciam diretamente na composição celular do microorganismo. Ter um fotobiorreator que seja capaz de controlar estes fatores é de suma importância para obter maiores rendimentos de biomassa microalgal [3,7,9].…”

Section: Introductionunclassified

Software para Simulação de Crescimento de Microalgas em Fotobiorreatores Tubulares

Ribeiro¹,

Mariano²,

Vargas³

2016

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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Resumo. Microalgas são apresentadas como fonte de energia alterativa ao petróleo, sendo capaz de transformar a energia solar em biodiesel. Desta forma, o Núcleo de Pesquisa e Desenvolvimento em Energia Auto-Sustentável (NPDEAS/UFPR) está construindo fotobiorreatores tubulares para cultivar estes microorganismos, também elabora um software para simular o crescimento microalgal.Palavras-chave. Software, Simulação Computacional, Modelo Matemático, Fotobiorreatores, Crescimento de Microalgas. IntroduçãoAs microalgas são apresentadas como fonte de energia alternativa ao petróleo, com capacidade de produção de energia através da forma de biocombustível. Assim diversas Universidades e Institutos de pesquisa estão investindo cada vez mais tempo de pesquisa e recursos para que os pesquisadores possam extrair o máximo de biodiesel possível a partir destes microorganismos. Em comparação com a produção de sementes oleaginosas que diz respeito à produção de biodiesel, algumas culturas de microalgas têm inúmeras vantagens devido a sua biodiversidade, tais como, podem dobrar sua biomassa em pequeno espaço de tempo, em fotobiorreatores bem estruturados podem absorver grande quantidade de energia solar, têm lipídeos de alta densidade, fornecem uma produtividade (litros de óleo produzido por hectare por ano) de até dez vezes maior do que as oleaginosas podendo ser cultivadas em áreas não apropriadas para a agricultura e geram menos resíduos [2,5,10].

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Model predictive control of pH in tubular photobioreactors

Cited by 109 publications

References 5 publications

Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study

Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study

Saturated pH and Total Inorganic Carbon from CO2 Solubility Related to Algal Growth

Software para Simulação de Crescimento de Microalgas em Fotobiorreatores Tubulares

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