TY - GEN A1 - Gehring, Nicole A1 - Dorneanu, Bogdan A1 - Manrique-Silupú, José A1 - Ipanaqué, William A1 - Arellano-García, Harvey T1 - Circular Economy in Banana Cultivation T2 - Computer Aided Chemical Engineering N2 - This paper examines the most important approaches that could be applied for the introduction of circular economy strategies for the banana production process in the region of Piura (Peru). Based on this, a framework for an optimized economic cycle that is able to conserve resources and minimize the capital investments of farmers, while simultaneously increasing their production, can be created. Challenges and potential solutions are discussed for the production stages. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771502627?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50262-7 SN - 1570-7946 VL - 48 SP - 1567 EP - 1572 ER - TY - GEN A1 - Hamdan, Mustapha A1 - Sebastia-Saez, Daniel A1 - Hamdan, Malak A1 - Arellano-García, Harvey T1 - CFD Analysis of the Use of Desert Sand as Thermal Energy Storage Medium in a Solar Powered Fluidised Bed Harvesting Unit T2 - Computer Aided Chemical Engineering N2 - This work presents an Euler-Euler hydrodynamic and heat transfer numerical analysis of the multiphase flow involving desert sand and a continuous gas phase in a compact-size fluidised bed. The latter is part of a novel conceptual solar power design intended for domestic use. Desert sand is a highly available and unused resource with suitable thermal properties to be employed as thermal energy storage medium. It also allows for high working temperatures owing to its high resistance to agglomeration. Computational Fluid Dynamics simulations are used here to assess the heat transfer between desert sand and several proposed working fluids (including air, argon, nitrogen and carbon dioxide) to justify the design in terms of equipment dimensions and suitability of the materials used. The results show that the device can provide up to 1,031 kW when using carbon dioxide as the heat transfer fluid. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771500598?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50059-8 SN - 1570-7946 VL - 48 SP - 349 EP - 354 ER - TY - GEN A1 - Menzhausen, Robert A1 - Merino, Manuel A1 - Dorneanu, Bogdan A1 - Arellano-García, Harvey T1 - A Fuzzy Control Approach for an Industrial Refrigeration System T2 - Computer Aided Chemical Engineering N2 - This contribution presents the development of a model for the refrigeration plant used for mangos, which is able to simulate both the chamber and the fruit temperatures. The model is developed from energy balances for each section of the refrigeration system and the fruits, and is the basis for the setup of a fuzzy controller, capable of regulating continuously the compressor’s frequency to achieve the desired temperature. The model is able to accurately predict the chamber temperature profiles, but is more sensitive when simulating the fruit temperature. The fuzzy controller is able to achieve the set-point more accurately and in a shorter time than the on/off control, achieving a decrease in energy consumption as well. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012823377150210X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50210-X SN - 1570-7946 VL - 48 SP - 1255 EP - 1260 ER - TY - GEN A1 - Arellano-García, Harvey A1 - Barz, Tilman A1 - Dorneanu, Bogdan A1 - Vassiliadis, Vassilios S. T1 - Real-time feasibility of nonlinear model predictive control for semi-batch reactors subject to uncertainty and disturbances T2 - Computers & Chemical Engineering N2 - This paper presents two nonlinear model predictive control based methods for solving closed-loop stochastic dynamic optimisation problems, ensuring both robustness and feasibility with respect to state output constraints. The first one is a new deterministic approach, using the wait-and-see strategy. The key idea is to specifically anticipate violation of output hard-constraints, which are strongly affected by instantaneous disturbances, by backing off of their bounds along the moving horizon. The second method is a stochastic approach to solve nonlinear chance-constrained dynamic optimisation problems under uncertainties. The key aspect is the explicit consideration of the stochastic properties of both exogenous and endogenous uncertainties in the problem formulation (here-and-now strategy). The approach considers a nonlinear relation between uncertain inputs and the constrained state outputs. The performance of the proposed methodologies is assessed via an application to a semi-batch reactor under safety constraints, involving strongly exothermic reactions. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/pii/S0098135419303333?via%3Dihub U6 - https://doi.org/10.1016/j.compchemeng.2019.106529 SN - 1873-4375 SN - 0098-1354 VL - 133 ER -