Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model. With the recent developments in miniaturiz...
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Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model. With the recent developments in miniaturization and parallelization of cultivation platforms for high-throughput screening of optimal growth conditions massive amounts of informative data can be generated with few experiments. Increasing the quantity of the data means to increase the number of parameters and experimental design variables which might deteriorate the identifiability and hamper the online computation of optimal inputs. To reduce the problem complexity, in this work, we introduce an auxiliary controller at a lower level that tracks the optimal feeding strategy computed by a high-level optimizer in an online fashion. The hierarchical framework is especially interesting for the operation under constraints. The key aspect of this method are discussed together with an in silico study considering parallel glucose limited bacterial fed batch cultivations. Copyright (C) 2022 Thy Authors.
In this paper, a novel model-based cascade control strategy has been developed for an energy-integrated batch reactor-feed effluent heat exchanger system. The presence of two time scales facilitates implementation of ...
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In this paper, a novel model-based cascade control strategy has been developed for an energy-integrated batch reactor-feed effluent heat exchanger system. The presence of two time scales facilitates implementation of such a cascade strategy. An input-output model is developed for the slow dynamics of the system and is used for the design of a model-based controller to achieve desired product purity. The effectiveness of the proposed control strategy for disturbance rejection and operating point transitions is demonstrated with the help of simulation studies. The proposed strategy promises direct saving of energy, material and time.
Energy integration in batch reactors offers significant savings but at the cost of additional operational constraints. In this paper, optimal operation of a batch reactor-feed effluent heat, exchanger system is pursue...
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Energy integration in batch reactors offers significant savings but at the cost of additional operational constraints. In this paper, optimal operation of a batch reactor-feed effluent heat, exchanger system is pursued for a production campaign. The coupling between Subsequent batches due to energy integration is exploited to predict and thus plan future batches to achieve desired product purity at the end of the production campaign in the presence of disturbances and time-dependent energy prices. The proposed solution leads to better operation compared to a controller with disturbance rejection. (c) 2015, IFAC (International Federation or Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Energy integration in batch reactors offers significant savings but at the cost of additional operational constraints. In this paper, optimal operation of a batch reactor-feed effluent heat exchanger system is pursued...
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Energy integration in batch reactors offers significant savings but at the cost of additional operational constraints. In this paper, optimal operation of a batch reactor-feed effluent heat exchanger system is pursued for a production campaign. The coupling between subsequent batches due to energy integration is exploited to predict and thus plan future batches to achieve desired product purity at the end of the production campaign in the presence of disturbances and time-dependent energy prices. The proposed solution leads to better operation compared to a controller with disturbance rejection.
In this paper, a novel model-based cascade control strategy has been developed for an energy-integrated batch reactor-feed effluent heat exchanger system. The presence of two time scales facilitates implementation of ...
详细信息
In this paper, a novel model-based cascade control strategy has been developed for an energy-integrated batch reactor-feed effluent heat exchanger system. The presence of two time scales facilitates implementation of such a cascade strategy. An input-output model is developed for the slow dynamics of the system and is used for the design of a model-based controller to achieve desired product purity. The effectiveness of the proposed control strategy for disturbance rejection and operating point transitions is demonstrated with the help of simulation studies. The proposed strategy promises direct saving of energy, material and time.
Lake Victoria is one of the largest freshwater bodies in the world. The lake is bordered by Kenya, Tanzania, and Uganda, and has streams and rivers stretching as far as Burundi and Rwanda feeding into it. A number of ...
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Lake Victoria is one of the largest freshwater bodies in the world. The lake is bordered by Kenya, Tanzania, and Uganda, and has streams and rivers stretching as far as Burundi and Rwanda feeding into it. A number of studies have reported deteriorating water quality due to pollution. In this study Non Point Source Pollution was the focus and such as 68 samples and 64 samples were collected over two rain seasons and dry season, respectively. All samples were analyzed for nutrients, namely, Ammonia, Nitrite, Nitrate, and Phosphate. Portable meters were used to measure pH, EC, Total Dissolved Solids, Temperature and Dissolved Oxygen instantaneously at point of sample collection while Wagtech methods used to measure nutrients. TSS was measured using gravimetric method. Within the lake, samples were taken at for horizontal transects of 10 metres (m) interval over a distance of 50 m from the shore where surface runoff was released. At each 10 m sampling point, three samples were drawn at vertical distances of 0.5 m, 1.0 m and 1.5 m from water surface using a hand pump with graduated delivery pipe. The aim of this research is to characterize non point pollutants and their dispersion in Lake Victoria. The criterion to be maximized is the R-squared ( R 2 ) value, which is expressed in percent. The results generally show runoff during wet season increases the concentrations of Ammonia, Phosphorus, Nitrites and Nitrates and the associated dispersion is influenced by wind speed and direction, wave speed and direction. Furthermore, it was also noted that nutrient concentrations decrease as one moves deeper from the shores into the lake due to dilution.
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