The Experts below are selected from a list of 15180 Experts worldwide ranked by ideXlab platform

J J Heijnen - One of the best experts on this subject based on the ideXlab platform.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, M C M Van Loosdrecht, F Paletta, J J Heijnen
    Abstract:

    This paper discusses the poly-beta-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth-order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludge models.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, F Paletta, M C M Van Loosdrecht, J J Heijnen
    Abstract:

    This paper discusses the poly-{beta}-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludgemore » models.« less

J J Beun - One of the best experts on this subject based on the ideXlab platform.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, M C M Van Loosdrecht, F Paletta, J J Heijnen
    Abstract:

    This paper discusses the poly-beta-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth-order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludge models.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, F Paletta, M C M Van Loosdrecht, J J Heijnen
    Abstract:

    This paper discusses the poly-{beta}-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludgemore » models.« less

F Paletta - One of the best experts on this subject based on the ideXlab platform.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, M C M Van Loosdrecht, F Paletta, J J Heijnen
    Abstract:

    This paper discusses the poly-beta-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth-order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludge models.

  • stoichiometry and kinetics of poly β hydroxybutyrate metabolism in aerobic slow growing activated sludge cultures
    Biotechnology and Bioengineering, 2000
    Co-Authors: J J Beun, F Paletta, M C M Van Loosdrecht, J J Heijnen
    Abstract:

    This paper discusses the poly-{beta}-hydroxybutyrate (PHB) metabolism in aerobic, slow growing, activated sludge cultures, based on experimental data and on a metabolic model. The dynamic conditions which occur in activated sludge processes were simulated in a 2-L sequencing batch reactor (SBR) by subjecting a mixed microbial population to successive periods of external substrate availability (feast period) and no external substrate availability (famine period). Under these conditions intracellular storage and consumption of PHB was observed. It appeared that in the feast period, 66% to almost 100% of the substrate consumed is used for storage of PHB, the remainder is used for growth and maintenance processes. Furthermore, it appeared that at high sludge retention time (SRT) the growth rate in the feast and famine periods was the same. With decreasing SRT the growth rate in the feast period increased relative to the growth rate in the famine period. Acetate consumption and PHB production in the feast period both proceeded with a zero-order rate in acetate and PHB concentration respectively. PHB consumption in the famine period could best be described kinetically with a nth order Degradation Equation in PHB concentration. The obtained results are discussed in the context of the general activated sludgemore » models.« less

Lin Guo - One of the best experts on this subject based on the ideXlab platform.

  • adaptive state of charge estimation of lithium ion battery based on battery capacity Degradation model
    Energy Procedia, 2018
    Co-Authors: Guodong Yang, Junqiu Li, Zijian Fu, Lin Guo
    Abstract:

    Abstract For electric vehicles (EVs), accurate State of Charge (SoC) estimation of battery contributes to ensure battery safety and improve driving mileage. Therefore, its research has essential application value. However, accurate SoC estimation of the battery relies on precise battery model parameters and capacity. This paper mainly carries out three aspects of work. (1) A battery equivalent circuit model is established, and the Forgetting Factor Recursive Least Squares (FFRLS) method is used to realize online identification of model parameters. (2) Based on the Arrhenius Equation, the inverse power law Equation and the battery capacity Degradation Equation, the battery capacity Degradation model under dynamic stress is established to achieve the online prediction of battery capacity. (3) Based on equivalent circuit model, battery capacity Degradation model and Adaptive Extended Kalman Filtering (AEKF) algorithm, an adaptive SoC estimation method is proposed. Simulation results show that the maximum estimation error of battery capacity and SoC is less than 2.5% and 1.5% respectively.

Guodong Yang - One of the best experts on this subject based on the ideXlab platform.

  • adaptive state of charge estimation of lithium ion battery based on battery capacity Degradation model
    Energy Procedia, 2018
    Co-Authors: Guodong Yang, Junqiu Li, Zijian Fu, Lin Guo
    Abstract:

    Abstract For electric vehicles (EVs), accurate State of Charge (SoC) estimation of battery contributes to ensure battery safety and improve driving mileage. Therefore, its research has essential application value. However, accurate SoC estimation of the battery relies on precise battery model parameters and capacity. This paper mainly carries out three aspects of work. (1) A battery equivalent circuit model is established, and the Forgetting Factor Recursive Least Squares (FFRLS) method is used to realize online identification of model parameters. (2) Based on the Arrhenius Equation, the inverse power law Equation and the battery capacity Degradation Equation, the battery capacity Degradation model under dynamic stress is established to achieve the online prediction of battery capacity. (3) Based on equivalent circuit model, battery capacity Degradation model and Adaptive Extended Kalman Filtering (AEKF) algorithm, an adaptive SoC estimation method is proposed. Simulation results show that the maximum estimation error of battery capacity and SoC is less than 2.5% and 1.5% respectively.