Pub Date : 2019-07-23DOI: 10.1109/ICCSRE.2019.8807480
Badr Chegari, M. Tabaa, F. Moutaouakkil, E. Simeu, H. Medroumi
In this work, we present the effect of the thermos-physical parameters of different thermal insulators on the energy performance of a typical Moroccan R+1 building in three different climates: Marrakech, Casablanca and Tangier. This has been achieved through dynamic thermal simulation (DTS) using TRNSYS software. The results show the positive impact of thermal insulation on the building's energy performance, allowing the building to comply with the RTCM and to reduce heating and cooling needs by up to 21.01%, 22.86% and 26.53% respectively in Casablanca, Marrakech and Tangier.
{"title":"The impact of the thermos-physical parameters of insulation on the energy performance of a building in Morocco","authors":"Badr Chegari, M. Tabaa, F. Moutaouakkil, E. Simeu, H. Medroumi","doi":"10.1109/ICCSRE.2019.8807480","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807480","url":null,"abstract":"In this work, we present the effect of the thermos-physical parameters of different thermal insulators on the energy performance of a typical Moroccan R+1 building in three different climates: Marrakech, Casablanca and Tangier. This has been achieved through dynamic thermal simulation (DTS) using TRNSYS software. The results show the positive impact of thermal insulation on the building's energy performance, allowing the building to comply with the RTCM and to reduce heating and cooling needs by up to 21.01%, 22.86% and 26.53% respectively in Casablanca, Marrakech and Tangier.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134268919","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807458
S. Diouani, H. Medromi
Energy efficiency has turned into an undeniably essential worry in data centers as a result of issues related to energy consumption, including capital costs, working costs, and natural effect. While energy wastage, because of imperfect utilization of facilities and IT hardware, has to a great extent been decreased using best-practice advances, tending to energy loss in IT equipment, still requires the plan and usage of energy-aware resource management frameworks. Various methods aimed to enhance the energy efficiency in data centers have been developed in the field related to the development of resource allocation. In fact, researchers and scientists utilize numerous ways to improve effectiveness for optimized power and performance: scaling virtual machine and server preparing abilities to minimize energy consumption, enhancing resource use through exploiting its heterogeneity and consolidating the workload. To accomplish these objectives, there is multiple proposes models, calculations, algorithms, techniques, and procedures that diminish energy use using virtual machine scaling, virtual machine sizing for CPU and memory, CPU frequency adjustment, and also equipment power control for resource allocation in the server-level. In this context, we present different formulas for calculating energy consumption in cloud data centers and we propose a simplified and completed deduced formula for energy consumption estimation.
{"title":"How energy consumption in the cloud data center is calculated","authors":"S. Diouani, H. Medromi","doi":"10.1109/ICCSRE.2019.8807458","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807458","url":null,"abstract":"Energy efficiency has turned into an undeniably essential worry in data centers as a result of issues related to energy consumption, including capital costs, working costs, and natural effect. While energy wastage, because of imperfect utilization of facilities and IT hardware, has to a great extent been decreased using best-practice advances, tending to energy loss in IT equipment, still requires the plan and usage of energy-aware resource management frameworks. Various methods aimed to enhance the energy efficiency in data centers have been developed in the field related to the development of resource allocation. In fact, researchers and scientists utilize numerous ways to improve effectiveness for optimized power and performance: scaling virtual machine and server preparing abilities to minimize energy consumption, enhancing resource use through exploiting its heterogeneity and consolidating the workload. To accomplish these objectives, there is multiple proposes models, calculations, algorithms, techniques, and procedures that diminish energy use using virtual machine scaling, virtual machine sizing for CPU and memory, CPU frequency adjustment, and also equipment power control for resource allocation in the server-level. In this context, we present different formulas for calculating energy consumption in cloud data centers and we propose a simplified and completed deduced formula for energy consumption estimation.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115859589","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807472
Turzo Ahsan Sami, S. Momen
This paper presents an agent based computational model in which swarms of autonomous mobile robots have the task to clean the environment. The robots collect debris from the environment and dump them in a designated arena. The energy of each robot decreases as it works and when the energy becomes lower than a fixed threshold, it switches to the charging mode. Under this mode, a robot goes to a destined area to charge itself up. Besides just gaining energy from the designated charging area, they can also share energy with each other when required. The way the robots share energy is inspired by the trophallactic behavior displayed by ant colonies. The model proposed in this paper is inspired by the behavior and group interaction of social insects, particularly by that of the ants. Genetic Algorithm (GA) has been applied on the model to search the model0s parameter space to obtain the particular set of parameter values for which the model consumes the least energy. Experimental results show that incorporating GA to tune the parameter values improve the performance of the swarm in terms of the energy consumption over earlier strategies.
{"title":"Optimization of Energy Consumption in Swarms of Robots","authors":"Turzo Ahsan Sami, S. Momen","doi":"10.1109/ICCSRE.2019.8807472","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807472","url":null,"abstract":"This paper presents an agent based computational model in which swarms of autonomous mobile robots have the task to clean the environment. The robots collect debris from the environment and dump them in a designated arena. The energy of each robot decreases as it works and when the energy becomes lower than a fixed threshold, it switches to the charging mode. Under this mode, a robot goes to a destined area to charge itself up. Besides just gaining energy from the designated charging area, they can also share energy with each other when required. The way the robots share energy is inspired by the trophallactic behavior displayed by ant colonies. The model proposed in this paper is inspired by the behavior and group interaction of social insects, particularly by that of the ants. Genetic Algorithm (GA) has been applied on the model to search the model0s parameter space to obtain the particular set of parameter values for which the model consumes the least energy. Experimental results show that incorporating GA to tune the parameter values improve the performance of the swarm in terms of the energy consumption over earlier strategies.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683811","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807535
M. Mohamed, Zazi Malika, Zazi Khalida, Chorfi Jawad
The electrical characteristics of photovoltaic generators are nonlinear, they are depend on the climatic conditions and the load, and they admitted one only optimum operating point. Therefore, to maximize the energy produced by the PV system, it is necessary to track the maximum power point. Nevertheless to inject this maximum energy produced in the grid, it must be converted in an alternative by ensuring a reliable transfer with a unit power factor and a currents form purely sinusoidal. In this paper, a nonlinear method based on sliding mode (SMC) is applied to control and optimization of a grid connected photovoltaic energy conversion system. In this method, it is essential to define a sliding surface that presents the desired state, then we calculate the appropriate control law to achieve this desired state. To validate the theory results obtained by the proposed control strategy, the simulations has been affected on the Simulink/Matlab software for a 100Kw PV system. The simulation results are shown the effectiveness of the proposed technique to achieve the optimal operation of grid connected photovoltaic energy conversion system.
{"title":"Modeling and Optimization of a Grid Connected Photovoltaic Energy Conversion System Based on Advanced Nonlinear Control","authors":"M. Mohamed, Zazi Malika, Zazi Khalida, Chorfi Jawad","doi":"10.1109/ICCSRE.2019.8807535","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807535","url":null,"abstract":"The electrical characteristics of photovoltaic generators are nonlinear, they are depend on the climatic conditions and the load, and they admitted one only optimum operating point. Therefore, to maximize the energy produced by the PV system, it is necessary to track the maximum power point. Nevertheless to inject this maximum energy produced in the grid, it must be converted in an alternative by ensuring a reliable transfer with a unit power factor and a currents form purely sinusoidal. In this paper, a nonlinear method based on sliding mode (SMC) is applied to control and optimization of a grid connected photovoltaic energy conversion system. In this method, it is essential to define a sliding surface that presents the desired state, then we calculate the appropriate control law to achieve this desired state. To validate the theory results obtained by the proposed control strategy, the simulations has been affected on the Simulink/Matlab software for a 100Kw PV system. The simulation results are shown the effectiveness of the proposed technique to achieve the optimal operation of grid connected photovoltaic energy conversion system.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133888967","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807579
M. Aabid, S. Semghouli, B. Amaoui, M. Fahssi, Oum Keltoum Hakam, A. Choukri
Computed Tomography (CT) of Brain is a diagnostic device used to create detailed pictures of the skull, brain, paranasal sinuses, and eye sockets; however, patients are exposed to great radiation doses and the likelihood of a cancer occurrence and other biological effects is increased. The objectives of this study were to measure the patient radiation dose during a brain CT procedure and to assess the radiation dose and biological effects.The study was conducted in six radiology departments equipped with various CT machines calibrated according to international protocols. A total of 180 patients underwent brain examinations. The effective radiation dose, cancer and biological risks were estimated using the International Commission on Radiological Protection (ICRP) conversion factors.The effective dose for Brain CT procedure in Moroccan hospital varied between (0,80± 0,12) and (5,47± 1,51) mSv with an average value of (2,96± 0,67) mSv. The cancer risk per Brain procedure ranged between 44 and 301 with an average value of 163 per 1 million procedures. The hereditary risk per Brain procedure ranged between 2 and 11 with an average value of 6 per 1 million procedures. The effective dose and risk factors for brain CT scan examination are higher than the national averages for one third of our hospitals.The cancer and hereditary risks are significant during multiple image acquisition. The study revealed that 66% of the procedures with normal findings. However, staff should optimize the radiation dose during Brain procedures.
{"title":"Patient Radiation Risks during CT Brain procedure in Moroccan hospitals","authors":"M. Aabid, S. Semghouli, B. Amaoui, M. Fahssi, Oum Keltoum Hakam, A. Choukri","doi":"10.1109/ICCSRE.2019.8807579","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807579","url":null,"abstract":"Computed Tomography (CT) of Brain is a diagnostic device used to create detailed pictures of the skull, brain, paranasal sinuses, and eye sockets; however, patients are exposed to great radiation doses and the likelihood of a cancer occurrence and other biological effects is increased. The objectives of this study were to measure the patient radiation dose during a brain CT procedure and to assess the radiation dose and biological effects.The study was conducted in six radiology departments equipped with various CT machines calibrated according to international protocols. A total of 180 patients underwent brain examinations. The effective radiation dose, cancer and biological risks were estimated using the International Commission on Radiological Protection (ICRP) conversion factors.The effective dose for Brain CT procedure in Moroccan hospital varied between (0,80± 0,12) and (5,47± 1,51) mSv with an average value of (2,96± 0,67) mSv. The cancer risk per Brain procedure ranged between 44 and 301 with an average value of 163 per 1 million procedures. The hereditary risk per Brain procedure ranged between 2 and 11 with an average value of 6 per 1 million procedures. The effective dose and risk factors for brain CT scan examination are higher than the national averages for one third of our hospitals.The cancer and hereditary risks are significant during multiple image acquisition. The study revealed that 66% of the procedures with normal findings. However, staff should optimize the radiation dose during Brain procedures.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115518288","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807446
Taskin Fatema, Alif Elahi Khan, Mithi Shams, Md. Golam Saklain Hossain, S. Momen
Bangladesh is one of the most densely populated countries in the world. With vast amount of people joining the workforce and huge traffic jam in the capital, it becomes very difficult for city dwellers to manage family life. In this paper, we present a simple shopping assistant that keeps track of the items needs to be purchased by the user. It also searches in the background for the desired items and reports to the user on close by shops where the items would be available. The general acceptance of this app is found to be quite high. The novelty of this paper is twofold: (1) designing a shopping assistant, and (2) analysing the user acceptability. In future, we plan to incorporate a recommendation system.
{"title":"Bazaar Mind: A Virtual Shopping Assistant","authors":"Taskin Fatema, Alif Elahi Khan, Mithi Shams, Md. Golam Saklain Hossain, S. Momen","doi":"10.1109/ICCSRE.2019.8807446","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807446","url":null,"abstract":"Bangladesh is one of the most densely populated countries in the world. With vast amount of people joining the workforce and huge traffic jam in the capital, it becomes very difficult for city dwellers to manage family life. In this paper, we present a simple shopping assistant that keeps track of the items needs to be purchased by the user. It also searches in the background for the desired items and reports to the user on close by shops where the items would be available. The general acceptance of this app is found to be quite high. The novelty of this paper is twofold: (1) designing a shopping assistant, and (2) analysing the user acceptability. In future, we plan to incorporate a recommendation system.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130252246","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807726
Haji Zakaria, Mounir Hamid, E. Abdellatif, Amarir Imane
Increasing the use of electric vehicles (EVs) has been offered as a double option to decrease fuel energy consumption and greenhouse gas emissions (GHG), in a wide effort to mitigate the bad environmental impact and climate change. Recently, the EV industry has been known as a huge development. This paper covers a broad array of subjects linked to EV technology, such as the main categories of these vehicles and their technical characteristics: fuel energy economy, environmental impact and market evolution. Particularly, three principal categories of EV, mainly hybrid electric vehicles (HEVs), plug-in electric vehicles (PHEVs) and battery electric vehicles (BEVs) are presented in detailed. Moreover, the present paper analyzes and compares these types of vehicles and both summarizes and discusses the recent advancements and challenges of EV technology. We can conclude that HEVs can play an important part in preparing for the transition to fully EVs. The progress at the battery level will accelerate this transition as long as issues of autonomy, durability, and cost are resolved.
{"title":"Recent Advancements and Developments for Electric Vehicle Technology","authors":"Haji Zakaria, Mounir Hamid, E. Abdellatif, Amarir Imane","doi":"10.1109/ICCSRE.2019.8807726","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807726","url":null,"abstract":"Increasing the use of electric vehicles (EVs) has been offered as a double option to decrease fuel energy consumption and greenhouse gas emissions (GHG), in a wide effort to mitigate the bad environmental impact and climate change. Recently, the EV industry has been known as a huge development. This paper covers a broad array of subjects linked to EV technology, such as the main categories of these vehicles and their technical characteristics: fuel energy economy, environmental impact and market evolution. Particularly, three principal categories of EV, mainly hybrid electric vehicles (HEVs), plug-in electric vehicles (PHEVs) and battery electric vehicles (BEVs) are presented in detailed. Moreover, the present paper analyzes and compares these types of vehicles and both summarizes and discusses the recent advancements and challenges of EV technology. We can conclude that HEVs can play an important part in preparing for the transition to fully EVs. The progress at the battery level will accelerate this transition as long as issues of autonomy, durability, and cost are resolved.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171808","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807773
El Mahfoud Boulaoutaq, M. Kourchi, Azeddine Rachdy
This paper deals the modeling and synthesis of nonlinear control laws for the control of a wind turbine based on the DFIG (Fig. 1). In a first step, the objective is to build a model of a wind energy conversion system WECS, such as the combination of the aerodynamic and mechanical part integrating the turbine - the multiplier - the MPPT technique, and the electrical part DFIG associated with an active and reactive power control, based on a stator flux oriented control according to a dq-axis frame. After that, three laws of nonlinear control by ADRC Strategy (Active Disturbance Rejection Control) are applied to the MPPT method, and then to the converter RSC (Rotor Side Converter) both in hypo and in hyper synchronous mode of operation. Finally, the results obtained for each approach will be discussed and compared with the linear control technique. The system under study and the proposed controls are simulated using Matlab-Simulink.
{"title":"Nonlinear ADRC Applied on Wind Turbine Based on DFIG Operating at its Partial Load","authors":"El Mahfoud Boulaoutaq, M. Kourchi, Azeddine Rachdy","doi":"10.1109/ICCSRE.2019.8807773","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807773","url":null,"abstract":"This paper deals the modeling and synthesis of nonlinear control laws for the control of a wind turbine based on the DFIG (Fig. 1). In a first step, the objective is to build a model of a wind energy conversion system WECS, such as the combination of the aerodynamic and mechanical part integrating the turbine - the multiplier - the MPPT technique, and the electrical part DFIG associated with an active and reactive power control, based on a stator flux oriented control according to a dq-axis frame. After that, three laws of nonlinear control by ADRC Strategy (Active Disturbance Rejection Control) are applied to the MPPT method, and then to the converter RSC (Rotor Side Converter) both in hypo and in hyper synchronous mode of operation. Finally, the results obtained for each approach will be discussed and compared with the linear control technique. The system under study and the proposed controls are simulated using Matlab-Simulink.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134235218","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807753
Abdelaaziz Benahmida, N. Maouhoub, H. Sahsah, Hamza Mokhliss, K. Rais
In this paper, a technique based on analytical formulation and iterative method is presented to estimate the five PV generator parameters from their experimental I-V curve and using the single diode model. This method calculates analytically the series resistance using three remarkable points of the I-V characteristics. The parallel resistance, the saturation current and the photo-current are calculated using a linear least squares method and solving a linear system of three equations. The ideality factor is extracted by an iterative procedure that optimizes the NRMSE value. The method is validated using experimental set of two PV generator cases: RTC commercial solar cell and KC200GT PV module. The results have shown best agreement with those published previously in the literature.
{"title":"Parameter Identification of Photovoltaic Generators Using an Analytical Approach and Iterative Method","authors":"Abdelaaziz Benahmida, N. Maouhoub, H. Sahsah, Hamza Mokhliss, K. Rais","doi":"10.1109/ICCSRE.2019.8807753","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807753","url":null,"abstract":"In this paper, a technique based on analytical formulation and iterative method is presented to estimate the five PV generator parameters from their experimental I-V curve and using the single diode model. This method calculates analytically the series resistance using three remarkable points of the I-V characteristics. The parallel resistance, the saturation current and the photo-current are calculated using a linear least squares method and solving a linear system of three equations. The ideality factor is extracted by an iterative procedure that optimizes the NRMSE value. The method is validated using experimental set of two PV generator cases: RTC commercial solar cell and KC200GT PV module. The results have shown best agreement with those published previously in the literature.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122662840","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 : 2019-07-22DOI: 10.1109/ICCSRE.2019.8807673
Mouna Abarkan, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan
Buildings are the highest energy consumers, ahead of transport and industry. It the also represents 25% of carbon dioxide emissions at the national state, it consumes a lot of energy for the production of domestic hot water (DHW) and the heat and cold production. For this situation the house is estimated to be a major source of potential energy conservation, which is why there are so many research projects on this topic. So to reduce this consumption we thought to integrate renewable sources of energy (RES) using a control strategy of DC building. The aim of this article is to show a model of a house using RES energy, various electrical loads and the behaviour of a house's energy consumption in real time using the Simscape multi-physical description software. and we propose also a 230V DC microgrid, consisting of a 20 KWp photovoltaic panel, batteries and DC loads as also a hierarchical control strategy to maintain the capacity of the DC microgrid and the voltage of the common DC bus, is presented.
{"title":"The behavior of a building using RES energy and A control strategy of DC microgrid","authors":"Mouna Abarkan, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan","doi":"10.1109/ICCSRE.2019.8807673","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807673","url":null,"abstract":"Buildings are the highest energy consumers, ahead of transport and industry. It the also represents 25% of carbon dioxide emissions at the national state, it consumes a lot of energy for the production of domestic hot water (DHW) and the heat and cold production. For this situation the house is estimated to be a major source of potential energy conservation, which is why there are so many research projects on this topic. So to reduce this consumption we thought to integrate renewable sources of energy (RES) using a control strategy of DC building. The aim of this article is to show a model of a house using RES energy, various electrical loads and the behaviour of a house's energy consumption in real time using the Simscape multi-physical description software. and we propose also a 230V DC microgrid, consisting of a 20 KWp photovoltaic panel, batteries and DC loads as also a hierarchical control strategy to maintain the capacity of the DC microgrid and the voltage of the common DC bus, is presented.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131887157","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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