Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807498
Sara Mensou, A. Essadki, I. Minka, T. Nasser, B. B. Idrissi
In this work we study the modeling and control of a Doubly-Fed Induction Generator (DFIG) using in a wind energy system whit a power of 1.5 kW, the objectives of this control is to optimize the captured wind and extract the maximum of the electrical power produced from the aerogenerator against wind speed changes, the Nonlinear Backstepping approach with Lyapunov function was used to control the system studied, the robustness and performance of the proposed method is tested in terms of reference tracking under voltage dips. The whole system was simulated under dSPACE Controller Card DS1104 Real-Time Interface, which runs in Simulink/MATLAB environment and ControlDesk 4.2 graphical interface.
{"title":"Control and Hardware Simulation of a Doubly Fed Induction Aero-Generator Using dSPACE Card","authors":"Sara Mensou, A. Essadki, I. Minka, T. Nasser, B. B. Idrissi","doi":"10.1109/ICCSRE.2019.8807498","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807498","url":null,"abstract":"In this work we study the modeling and control of a Doubly-Fed Induction Generator (DFIG) using in a wind energy system whit a power of 1.5 kW, the objectives of this control is to optimize the captured wind and extract the maximum of the electrical power produced from the aerogenerator against wind speed changes, the Nonlinear Backstepping approach with Lyapunov function was used to control the system studied, the robustness and performance of the proposed method is tested in terms of reference tracking under voltage dips. The whole system was simulated under dSPACE Controller Card DS1104 Real-Time Interface, which runs in Simulink/MATLAB environment and ControlDesk 4.2 graphical interface.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129177360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807547
Samah Naciri, Naima Nafiri, S. Saidi, B. Benhamou, S. B. Jabrallah
A numerical study of a solar desalination system based on the humidification-dehumidification thermal process was carried out. Air humidification is carried out in the evaporator by evaporating saline water. Air dehumidification takes place in a condenser where the distilled water is recovered by cooling the moist air coming from the humidifier. To achieve proper dehumidification the countercurrent configuration is considered. Energy needed to evaporate water is provided by solar energy. This study was conducted using a one-dimensional mathematical model to simulate heat and mass transfers that occur in the evaporator and the condenser. The proposed model is based on energy and mass balances of moist air, cooling water and saline water film. The resulting differential equations of ordinary derivatives are solved using the finite difference method in an iterative scheme. The mathematical model is validated against experimental and numerical results. The effect of feed saline water and air temperature at the solar evaporator entrances as well as its insulation thickness on the distillated water production of the desalination unit is studied.
{"title":"Numerical study of small-scale solar humidification-dehumidification desalination unit","authors":"Samah Naciri, Naima Nafiri, S. Saidi, B. Benhamou, S. B. Jabrallah","doi":"10.1109/ICCSRE.2019.8807547","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807547","url":null,"abstract":"A numerical study of a solar desalination system based on the humidification-dehumidification thermal process was carried out. Air humidification is carried out in the evaporator by evaporating saline water. Air dehumidification takes place in a condenser where the distilled water is recovered by cooling the moist air coming from the humidifier. To achieve proper dehumidification the countercurrent configuration is considered. Energy needed to evaporate water is provided by solar energy. This study was conducted using a one-dimensional mathematical model to simulate heat and mass transfers that occur in the evaporator and the condenser. The proposed model is based on energy and mass balances of moist air, cooling water and saline water film. The resulting differential equations of ordinary derivatives are solved using the finite difference method in an iterative scheme. The mathematical model is validated against experimental and numerical results. The effect of feed saline water and air temperature at the solar evaporator entrances as well as its insulation thickness on the distillated water production of the desalination unit is studied.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807548
M. AMROUCH, M. Rabi, A. E. Mezouary
Published works recently indicate that the generic features extracted from the convolutional neural networks are very powerful. This paper shows that CNN feature can be used with a HMM system [1] for Arabic handwritten word recognition, to yield classification results that outperform the handcrafted features. These features are usually based on heuristic approaches that describe either basic geometric properties or statistical distributions of raw pixel values. The CNN features based HMM is shown satisfactory recognition accuracy on the well-known IFN/ENIT database and outperformed some other prominent existing methods.
{"title":"An Efficient Arabic HMM System Based on Convolutional Features Learning","authors":"M. AMROUCH, M. Rabi, A. E. Mezouary","doi":"10.1109/ICCSRE.2019.8807548","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807548","url":null,"abstract":"Published works recently indicate that the generic features extracted from the convolutional neural networks are very powerful. This paper shows that CNN feature can be used with a HMM system [1] for Arabic handwritten word recognition, to yield classification results that outperform the handcrafted features. These features are usually based on heuristic approaches that describe either basic geometric properties or statistical distributions of raw pixel values. The CNN features based HMM is shown satisfactory recognition accuracy on the well-known IFN/ENIT database and outperformed some other prominent existing methods.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131002555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807469
Khalid Bahani, Mohammed Moujabbir, M. Ramdani
Solar energy is subject to large temporal and spatial fluctuations. These fluctuations require predicting the share of solar energy and its requirements in energy supply systems for optimal use. These predictions form the basis for various solar management options such as storage and control. However, before predicting the production of solar systems, it is necessary to focus on predicting solar radiation. The global prediction of solar radiation is divided into two broad categories of prediction methods: cloud images associated with physical models and automated learning models. In this paper we present a new leaning MAMDANI fuzzy rules based system FRLC (Fuzzy Rule Learning through Clustering) for solar radiation prediction with meteorological data. FRLC based on linguistic modifiers and fuzzy clustering is compared to the most accurate machine learning algorithms such as multilayer feed-forward neural network, radial basis function neural network, support vector regression, and adaptive neuro-fuzzy inference system. FRLC outperforms all algorithms at interpretability level by offering a linguistic knowledge base to the experts of the domain.
太阳能受时间和空间波动的影响很大。这些波动需要预测太阳能的份额及其在能源供应系统中的需求，以实现最佳利用。这些预测形成了各种太阳能管理选择的基础，如存储和控制。然而，在预测太阳系的产生之前，有必要重点预测太阳辐射。太阳辐射的全球预测分为两大类预测方法:与物理模型相关联的云图和自动学习模型。本文提出了一种新的基于MAMDANI模糊规则的学习系统FRLC (fuzzy Rule Learning through Clustering)，用于基于气象数据的太阳辐射预测。将基于语言修饰词和模糊聚类的FRLC与最精确的机器学习算法如多层前馈神经网络、径向基函数神经网络、支持向量回归和自适应神经模糊推理系统进行了比较。FRLC通过为该领域的专家提供语言知识库，在可解释性层面上优于所有算法。
{"title":"Prediction of hourly solar radiation using fuzzy clustering and linguistic modifiers","authors":"Khalid Bahani, Mohammed Moujabbir, M. Ramdani","doi":"10.1109/ICCSRE.2019.8807469","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807469","url":null,"abstract":"Solar energy is subject to large temporal and spatial fluctuations. These fluctuations require predicting the share of solar energy and its requirements in energy supply systems for optimal use. These predictions form the basis for various solar management options such as storage and control. However, before predicting the production of solar systems, it is necessary to focus on predicting solar radiation. The global prediction of solar radiation is divided into two broad categories of prediction methods: cloud images associated with physical models and automated learning models. In this paper we present a new leaning MAMDANI fuzzy rules based system FRLC (Fuzzy Rule Learning through Clustering) for solar radiation prediction with meteorological data. FRLC based on linguistic modifiers and fuzzy clustering is compared to the most accurate machine learning algorithms such as multilayer feed-forward neural network, radial basis function neural network, support vector regression, and adaptive neuro-fuzzy inference system. FRLC outperforms all algorithms at interpretability level by offering a linguistic knowledge base to the experts of the domain.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"613 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126893403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807652
Hamza Zemrane, Youssef Baddi, A. Hasbi
The goal of Internet of Things is to facilitate human life, by collecting information from the physical environment using sensing objects, process this information locally and transmit it to the Internet for decision making respecting an IoT architecture. IoT can be applied in different sectors of activity, in our work we focus on the Smart Home ecosystem, which use a lot of sensors and actuators inside the home to make life more secure and enjoyable for its occupant and to hold the user aware of any changes inside the home.
{"title":"IoT Smart Home Ecosystem: Architecture and Communication Protocols","authors":"Hamza Zemrane, Youssef Baddi, A. Hasbi","doi":"10.1109/ICCSRE.2019.8807652","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807652","url":null,"abstract":"The goal of Internet of Things is to facilitate human life, by collecting information from the physical environment using sensing objects, process this information locally and transmit it to the Internet for decision making respecting an IoT architecture. IoT can be applied in different sectors of activity, in our work we focus on the Smart Home ecosystem, which use a lot of sensors and actuators inside the home to make life more secure and enjoyable for its occupant and to hold the user aware of any changes inside the home.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122315097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The series multicellular converter is among the solutions that is currently being used in many applications, e.g.: renewable energy applications, industrial applications and active filters. Because of its unique ability to generate multiple voltage levels, this converter minimizes voltage constraints in all cells. This results in a lower loss of commutations and high switching frequency, which in turn results in a better harmonic content. However, it is necessary to choose a good control to reach all these advantages. To ensure optimum operation of this converter; the capacitor’s voltages must be maintained at their operating values. This paper proposes a fuzzy logic -nonlinear feedback linearization control for a three-cell inverter. This control maintains the capacitors voltages and the output current at their optimum. Simulations carried out using Matlab / Simulink software verify the robustness of the control law during load fluctuation. To highlight its good performances, the proposed control is compared to the natural-balanced control based on PWM (pulse width modulation).
{"title":"Control of Three-Cell Inverter with a Fuzzy Logic-Feedback Linearization Strategy to Reduce the Harmonic Content of the Output Current","authors":"Hamida Mohamed Lamine, Denoun Hakim, Fekik Arezki, Kais dyhia, Benamrouche Nacereddine, Babkrani Youssef","doi":"10.1109/ICCSRE.2019.8807768","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807768","url":null,"abstract":"The series multicellular converter is among the solutions that is currently being used in many applications, e.g.: renewable energy applications, industrial applications and active filters. Because of its unique ability to generate multiple voltage levels, this converter minimizes voltage constraints in all cells. This results in a lower loss of commutations and high switching frequency, which in turn results in a better harmonic content. However, it is necessary to choose a good control to reach all these advantages. To ensure optimum operation of this converter; the capacitor’s voltages must be maintained at their operating values. This paper proposes a fuzzy logic -nonlinear feedback linearization control for a three-cell inverter. This control maintains the capacitors voltages and the output current at their optimum. Simulations carried out using Matlab / Simulink software verify the robustness of the control law during load fluctuation. To highlight its good performances, the proposed control is compared to the natural-balanced control based on PWM (pulse width modulation).","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126652115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807677
Ghayda Alsheikh Qasem, A. Qusef
Recently business owners are raising the importance of working with virtual teams using predefined telecommunication technologies and encourage the idea of investing in innovative team building activities in order to enhance internal relationships between individuals despite their different geographical locations and cultures, which eventually it will affect project completion results. Therefore this paper study team building activities for virtual teams especially in Jordanian companies through conducted systematic mapping study for previous researches. Also, we aim to find out the correlation between the application of virtual teams structure in Jordanian companies with its impact on efficiency scale and cost-effectiveness by building a model from our questionnaire survey results. The outcomes of this study should provide useful information to Jordanian companies regarding the impact of team building activities for virtual teams and their correlation with efficiency scale and cost-effectiveness in projects.
{"title":"Team Building Activities for Virtual Teams in Jordanian Companies: Vision and Survey","authors":"Ghayda Alsheikh Qasem, A. Qusef","doi":"10.1109/ICCSRE.2019.8807677","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807677","url":null,"abstract":"Recently business owners are raising the importance of working with virtual teams using predefined telecommunication technologies and encourage the idea of investing in innovative team building activities in order to enhance internal relationships between individuals despite their different geographical locations and cultures, which eventually it will affect project completion results. Therefore this paper study team building activities for virtual teams especially in Jordanian companies through conducted systematic mapping study for previous researches. Also, we aim to find out the correlation between the application of virtual teams structure in Jordanian companies with its impact on efficiency scale and cost-effectiveness by building a model from our questionnaire survey results. The outcomes of this study should provide useful information to Jordanian companies regarding the impact of team building activities for virtual teams and their correlation with efficiency scale and cost-effectiveness in projects.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114146681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807561
Chbirik Ghizlane, Abounada Abdelouahed, M. Zakaria
Irrigation based on photovoltaic power is competitively priced compared to fossil fuel. Thus, a lot of articles present and study different photovoltaic pumping systems structures. In fact, this paper revolves around sizing and simulating a three phase photovoltaic pumping system based on photovoltaic array, DC-DC step up converter, three phase inverter, filter, induction motor and a submersible pump of 1.1KW. Solar array power is sized to 1.2KW includes the losses of the system. The system productivity is optimized by disturb and observe maximum power point tracking control programmed in Matlab software. It tracks the maximum power generated by a photovoltaic array at different irradiance and temperature value and controls the boost to work at the optimum point. The boost converter is designed to boost the photovoltaic voltage at the output. The DC-AC inverter is controlled by sinusoidal pulse width modulation. It drives the output voltage harmonics to higher frequencies and facilitates filtering. The LC filter produces a sinusoidal signal of reduced ripples. The performances of the sized system are evaluated by simulation under Simulink software. Simulation results prove that the system seeks and reaches the maximum power that can be supplied by a photovoltaic array. Furthermore the motor speed gets to the nominal value under optimal climatic conditions. A change of climatic conditions affects the motor speed and torque to move from the nominal values.
{"title":"Contribution to the improvement of a solar pumping system based on asynchronous machine","authors":"Chbirik Ghizlane, Abounada Abdelouahed, M. Zakaria","doi":"10.1109/ICCSRE.2019.8807561","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807561","url":null,"abstract":"Irrigation based on photovoltaic power is competitively priced compared to fossil fuel. Thus, a lot of articles present and study different photovoltaic pumping systems structures. In fact, this paper revolves around sizing and simulating a three phase photovoltaic pumping system based on photovoltaic array, DC-DC step up converter, three phase inverter, filter, induction motor and a submersible pump of 1.1KW. Solar array power is sized to 1.2KW includes the losses of the system. The system productivity is optimized by disturb and observe maximum power point tracking control programmed in Matlab software. It tracks the maximum power generated by a photovoltaic array at different irradiance and temperature value and controls the boost to work at the optimum point. The boost converter is designed to boost the photovoltaic voltage at the output. The DC-AC inverter is controlled by sinusoidal pulse width modulation. It drives the output voltage harmonics to higher frequencies and facilitates filtering. The LC filter produces a sinusoidal signal of reduced ripples. The performances of the sized system are evaluated by simulation under Simulink software. Simulation results prove that the system seeks and reaches the maximum power that can be supplied by a photovoltaic array. Furthermore the motor speed gets to the nominal value under optimal climatic conditions. A change of climatic conditions affects the motor speed and torque to move from the nominal values.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115952487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807593
F. Lamzouri, El-mahjoub Boufounas, A. El Amrani
In the present paper, we report a robust and efficient controller based on terminal sliding mode controller (TSMC) for maximum power tracking (MPPT) of photovoltaic (PV) system. The studied PV system consists of a PV module, a DC-DC converter, MPPT control circuit and load. First, the power slope method based on PV power characteristic curve is used for maximum power point voltage seeking. The proposed TSMC is designed in order to make the PV system performs at the desired reference maximum power voltage (MPV), by regulating the control duty cycle. Despite the atmospheric conditions variations, the designed approach assures a robust and fast tracking response convergence in finite with a very low tracking error. In order to demonstrate the designed controller effectiveness and robustness, a comparative study, includes the proposed approach and the conventional sliding mode control (SMC), is presented through various simulations.
{"title":"Robust Nonlinear Control of a PV system for MPPT under Variable Atmospheric Conditions","authors":"F. Lamzouri, El-mahjoub Boufounas, A. El Amrani","doi":"10.1109/ICCSRE.2019.8807593","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807593","url":null,"abstract":"In the present paper, we report a robust and efficient controller based on terminal sliding mode controller (TSMC) for maximum power tracking (MPPT) of photovoltaic (PV) system. The studied PV system consists of a PV module, a DC-DC converter, MPPT control circuit and load. First, the power slope method based on PV power characteristic curve is used for maximum power point voltage seeking. The proposed TSMC is designed in order to make the PV system performs at the desired reference maximum power voltage (MPV), by regulating the control duty cycle. Despite the atmospheric conditions variations, the designed approach assures a robust and fast tracking response convergence in finite with a very low tracking error. In order to demonstrate the designed controller effectiveness and robustness, a comparative study, includes the proposed approach and the conventional sliding mode control (SMC), is presented through various simulations.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"2123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130115538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807758
Mohamed El Habib Amagour, A. Rachek, M. Bennajah, M. Touhami
The use of phase change materials (PCMs) in latent heat storage (LHS) devices presents great benefits to solar thermal energy systems. Indeed, in contrast to sensible heat storage, PCMs provide high energy density and energy retrieval at constant temperature. Nevertheless, the limitation of LHS application is the low conductivity of PCMs, hence, the need to develop heat transfer enhancement techniques. In this context, a LHS unit consisting of a compact finned-tube heat exchanger filled with an organic Moroccan PCM was studied numerically. A mathematical model was developed and validated using an experimental set-up of the storage unit. The three-dimensional computational fluid dynamics (CFD) model was used to study the effect of varying the heat transfer fluid (HTF) inlet temperature and flow rate of the system performance. Temporal variation of the PCM temperature inside the tank was observed during charging and discharging, as well as the time required by both processes and their mean powers. Some noteworthy results have been found which can be useful in design and operation of the solar energy LHS system.
{"title":"Numerical investigation and performance analysis of a compact finned-tube heat exchanger uniformly filled with a phase change material for solar hot water production","authors":"Mohamed El Habib Amagour, A. Rachek, M. Bennajah, M. Touhami","doi":"10.1109/ICCSRE.2019.8807758","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807758","url":null,"abstract":"The use of phase change materials (PCMs) in latent heat storage (LHS) devices presents great benefits to solar thermal energy systems. Indeed, in contrast to sensible heat storage, PCMs provide high energy density and energy retrieval at constant temperature. Nevertheless, the limitation of LHS application is the low conductivity of PCMs, hence, the need to develop heat transfer enhancement techniques. In this context, a LHS unit consisting of a compact finned-tube heat exchanger filled with an organic Moroccan PCM was studied numerically. A mathematical model was developed and validated using an experimental set-up of the storage unit. The three-dimensional computational fluid dynamics (CFD) model was used to study the effect of varying the heat transfer fluid (HTF) inlet temperature and flow rate of the system performance. Temporal variation of the PCM temperature inside the tank was observed during charging and discharging, as well as the time required by both processes and their mean powers. Some noteworthy results have been found which can be useful in design and operation of the solar energy LHS system.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131744148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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