DSpace Collection:http://hdl.handle.net/10174/295242024-03-28T09:17:31Z2024-03-28T09:17:31ZParameters Extraction of Single and Double Diodes Photovoltaic Models using A Novel Cost FunctionMesbahi, OumaimaTlemçani, MouhaydineJaneiro, Fernando M.Hajjaji, AbdeloawahedKandoussi, Khalidhttp://hdl.handle.net/10174/362512024-02-06T09:40:30Z2023-04-30T23:00:00ZTitle: Parameters Extraction of Single and Double Diodes Photovoltaic Models using A Novel Cost Function
Authors: Mesbahi, Oumaima; Tlemçani, Mouhaydine; Janeiro, Fernando M.; Hajjaji, Abdeloawahed; Kandoussi, Khalid
Abstract: The main drawback that photovoltaic technologies experience is the state of deterioration of its internal components. This degradation may have an impact on the internal solar panel parameters as well as the total production. Measurement of the solar cell response (current and voltage), computation of differences between observed and estimated data, and application of an optimization method for minimization are the three stages of the optimization procedure for getting
these parameters. The vulnerability of IV tracers to additive noise is investigated, and a new optimization cost function is proposed and contrasted with the conventional function to justify its use. Additionally, eleven metaheuristic methods for obtaining photovoltaic parameters were applied, and their efficacy was evaluated. In order to obtain the optimum photovoltaic parameters and the proper instrument resolution, this study set out to identify the best electrical model, cost function, and optimization technique to use.2023-04-30T23:00:00ZA Bayesian approach to model velocity fields and mass flow ratesCardoso, RicardoCavaleiro Costa, SérgioCasaca, CláudiaCarvalho, AldaMalico, Isabelhttp://hdl.handle.net/10174/358642024-01-08T11:35:26Z2023-01-01T00:00:00ZTitle: A Bayesian approach to model velocity fields and mass flow rates
Authors: Cardoso, Ricardo; Cavaleiro Costa, Sérgio; Casaca, Cláudia; Carvalho, Alda; Malico, Isabel
Abstract: With the present work, one aims to study the effects of a jet impinging on an obstacle at a closed car park, which is described by a representative zone with an impulse jet fan and an obstacle. In this study, the flow velocity at two critical heights (1.2 m and 1.8 m) is considered a proxy for measuring the risk to car park occupants in case of fire. To capture the problematic conditions due to the obstacle, a mixture of two probabilistic models was used to simulate a set of jet fan to obstacle distances and jet fan outlet angles. This generated 34 conditions that were simulated using a computational fluid dynamics model. The isothermal incompressible turbulent velocity fields and mass flow rates in zones of interest were investigated. The statistical model was implemented using STAN and is a Bayesian multiple linear regression to estimate velocity fields and mass flow rates.2023-01-01T00:00:00ZSimulation of an offset wall turbulent jet flowZdanowski, FranciscoMalico, Isabelhttp://hdl.handle.net/10174/358602024-01-08T11:31:30Z2023-01-01T00:00:00ZTitle: Simulation of an offset wall turbulent jet flow
Authors: Zdanowski, Francisco; Malico, Isabel
Abstract: Jet flows are commonly observed in many real-world situations, such as in the exhaust plume from a rocket, the airflow from a jet engine or combustion equipment. The jet flow is a high-speed stream of fluid expelled from a relatively narrow orifice into a surrounding fluid with a lower velocity. Factors such as the jet velocity and pressure, size and shape of the orifice, and the properties of the surrounding fluid influence the behavior and characteristics of jet flows. The turbulent offset jet is a fundamental problem due to the development of an adverse pressure gradient that causes the jet stream to deviate from the jet centerline (recirculation zone) and get in direct contact with the wall (impingement zone), both leading to increased turbulence, mixing and potentially reduced efficiency, and source of significant heat transfer or fluid-wall interactions, respectively. This study aims to model the fluid flow phenomena of a jet flow offset from a wall using Computational Fluid Dynamics (CFD) and to validate the model with experimental data published in the literature. The jet model is a 2D, incompressible and turbulent flow in which the jet is discharged into still air. Due to the presence of a lateral wall, it deflects and impinges onto a flat surface. Several RANS (Reynolds-averaged Navier–Stokes equations) turbulence and wall treatment models are tested and compared with the experimental data. The validation process was verified, and the turbulence models agreed with the experimental data. The k-ε model shows a better agreement with the experimental model to the detriment of the k-ω model. Using the k-ε model to describe 2D turbulent incompressible jet flows has shown to be a good choice according to the experimental data.2023-01-01T00:00:00ZModelling and optimization of the thermal equipment network of an industrial automotive paint-shopAlvarez, FredericoCanhoto, PauloMalico, IsabelLima, Rui Pedrohttp://hdl.handle.net/10174/358582024-01-08T11:27:19Z2023-01-01T00:00:00ZTitle: Modelling and optimization of the thermal equipment network of an industrial automotive paint-shop
Authors: Alvarez, Frederico; Canhoto, Paulo; Malico, Isabel; Lima, Rui Pedro
Abstract: The energy-intensive industry is an important player in the quest to meet the ambitious plans of the European Union to reduce the consumption of fossil fuels and, consequently, the emission of greenhouse gases, mainly CO2. In that sense, energy efficiency in thermal processes in industry becomes a key point to achieve those goals. Another important measure to achieve CO2 reduction targets is the use of green hydrogen as part of the fuel burned in industrial furnaces. This work is part of the ongoing efforts under the MOSIPO project to analyse and optimize the network of thermal equipment and systems associated with an industrial automotive paint-shop greenhouse, which includes combustion, fluid flow and heat transfer processes. To that end, the thermal equipment (heat exchangers, air heaters, incinerator, fans, etc) are modelled based on integral mass, momentum and energy balances in transient regime, using up-to-date correlations for such processes. The network is constructed modelling also the conduits connecting the different equipment as well as the dampers that control the fluid flow in the different branches of the network. The model is implemented in the Modelica language, through the OpenModelica software, which enables easy and fast implementation and simulations for different working conditions. This constitutes a tool for the network optimization aiming the reduction of energy consumption, maintaining the optimal operation conditions of the paint-shop greenhouse, thus allowing the identification of the best energy efficiency measures.2023-01-01T00:00:00Z