Pub Date : 2018-12-01DOI: 10.1109/IRSEC.2018.8702280
Imane Hajjout, Manal Haddouch, El Mostapha Boudi
The domain of influence (doi) plays a very important role in the Element Free Galerkin (EFGM) method. It contributes to the calculation of the weight function and so influences the accuracy of the approximation. The radius of the (doi) determines the number of nodes contained in the support. The compromise is that the radius must not be large to not lose the local aspect of the moving least square method (MLS) used in (EFGM) and not small to have enough node so a regular moment matrix. This paper compares several theories for calculating the radius of (doi).
{"title":"An Optimal Radius of Influence Domain in Element-Free Galerkin Method","authors":"Imane Hajjout, Manal Haddouch, El Mostapha Boudi","doi":"10.1109/IRSEC.2018.8702280","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702280","url":null,"abstract":"The domain of influence (doi) plays a very important role in the Element Free Galerkin (EFGM) method. It contributes to the calculation of the weight function and so influences the accuracy of the approximation. The radius of the (doi) determines the number of nodes contained in the support. The compromise is that the radius must not be large to not lose the local aspect of the moving least square method (MLS) used in (EFGM) and not small to have enough node so a regular moment matrix. This paper compares several theories for calculating the radius of (doi).","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804749","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702969
Mohamed Ghazzali, M. Haloua
This paper proposes a novel secondary voltage and frequency control system for islanded AC microgrids. The main properties of the proposed controller are that: 1) It tracks the frequency and the voltage magnitude references in finite-time. 2) The control is insensitive to the communication network changes and to plug-and-play operations. 3) The control is effective regardless of the nature of the distributed generators (DGs) and the loads. 4) The distributed nature of the controller obviates the complex communication network needed for centralized control systems and the inherent communication delays, and boost the microgrid’s reliability as it no longer controlled by one centralized controller. A novel distributed sliding-mode technique was developed in this paper to design the proposed control system. A case study is carried to highlight the robustness of the distributed controller regarding voltage and frequency references tracking, communication network changes and plug-and-play operations.
{"title":"Distributed Voltage and Frequency Control of Islanded AC Microgrids","authors":"Mohamed Ghazzali, M. Haloua","doi":"10.1109/IRSEC.2018.8702969","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702969","url":null,"abstract":"This paper proposes a novel secondary voltage and frequency control system for islanded AC microgrids. The main properties of the proposed controller are that: 1) It tracks the frequency and the voltage magnitude references in finite-time. 2) The control is insensitive to the communication network changes and to plug-and-play operations. 3) The control is effective regardless of the nature of the distributed generators (DGs) and the loads. 4) The distributed nature of the controller obviates the complex communication network needed for centralized control systems and the inherent communication delays, and boost the microgrid’s reliability as it no longer controlled by one centralized controller. A novel distributed sliding-mode technique was developed in this paper to design the proposed control system. A case study is carried to highlight the robustness of the distributed controller regarding voltage and frequency references tracking, communication network changes and plug-and-play operations.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128457117","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702845
S. S. Martin, Ahmed Chebak, A. E. Ouafi, M. Mabrouki
This paper presents the simulation and the implementation of an efficient fuzzy logic (FL) based MPPT control strategy for multi-source renewable energy system. Wind energy conversion system (WECS), a solar photovoltaic system (SPV) and a biodiesel generator (BDG) as well as a storage battery are integrated in the same hybrid power system (HPS). In the proposed strategy, Fuzzy logic Maximum Power Point Tracking (FL MPPT) control systems are studied, analyzed and applied to the SPV and to the WECS to efficiently extract maximum power. The FL technique effectiveness is demonstrated through structured comparisons to Perturb and Observe (P&O) algorithm over the output power analysis and to the Tip Speed Ratio (TSR) technique respectively in the case of the SPV and the WECS. To evaluate the reliability of the proposed system to continuously providing sufficient power to the load, the integration of the three energy sources is implemented and analyzed using two typical scenarios. A hysteresis controller is used to trigger and stop the backup BDG and also to maintain the storage battery state of charge (SOC) variation between the desired values. The simulation results show that the FL MPPT controllers is able to track the maximum power point of SPV and WT more efficiently in comparison to traditional techniques such as P&O and TSR controllers. Moreover, the results suggest that the integration of the three energy sources helps significantly to increase power reliability despite the wind speed and solar irradiance variation.
{"title":"An Efficient Fuzzy Logic Based MPPT Control Strategy for Multi-Source Hybrid Power System","authors":"S. S. Martin, Ahmed Chebak, A. E. Ouafi, M. Mabrouki","doi":"10.1109/IRSEC.2018.8702845","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702845","url":null,"abstract":"This paper presents the simulation and the implementation of an efficient fuzzy logic (FL) based MPPT control strategy for multi-source renewable energy system. Wind energy conversion system (WECS), a solar photovoltaic system (SPV) and a biodiesel generator (BDG) as well as a storage battery are integrated in the same hybrid power system (HPS). In the proposed strategy, Fuzzy logic Maximum Power Point Tracking (FL MPPT) control systems are studied, analyzed and applied to the SPV and to the WECS to efficiently extract maximum power. The FL technique effectiveness is demonstrated through structured comparisons to Perturb and Observe (P&O) algorithm over the output power analysis and to the Tip Speed Ratio (TSR) technique respectively in the case of the SPV and the WECS. To evaluate the reliability of the proposed system to continuously providing sufficient power to the load, the integration of the three energy sources is implemented and analyzed using two typical scenarios. A hysteresis controller is used to trigger and stop the backup BDG and also to maintain the storage battery state of charge (SOC) variation between the desired values. The simulation results show that the FL MPPT controllers is able to track the maximum power point of SPV and WT more efficiently in comparison to traditional techniques such as P&O and TSR controllers. Moreover, the results suggest that the integration of the three energy sources helps significantly to increase power reliability despite the wind speed and solar irradiance variation.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039252","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702880
K. Benhmed, F. Touati, M. Al-Hitmi, N. A. Chowdhury, S. P. Antonio Gonzales, Yazan Qiblawey, M. Benammar
PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to conduct the PV performance evaluation and analysis in arid regions in terms of predicting the output power yield, proper acquisition, recording and investigation of relevant environmental parameters are considered to guarantee accuracy in the predictive models. In this paper, the authors analyze and predict the effects of these relevant environment parameters (e.g. ambient temperature, PV surface temperature, irradiance, relative humidity, dust settlement and wind speed) on the performance of PV cells in terms of output power. Different predictive models based on Machine Learning approach are trained and tested to estimate the actual PV output power in reference with an adequate time frame. Results show that the developed models could predict the PV output power accurately.
{"title":"PV Power Prediction in Qatar Based on Machine Learning Approach","authors":"K. Benhmed, F. Touati, M. Al-Hitmi, N. A. Chowdhury, S. P. Antonio Gonzales, Yazan Qiblawey, M. Benammar","doi":"10.1109/IRSEC.2018.8702880","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702880","url":null,"abstract":"PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to conduct the PV performance evaluation and analysis in arid regions in terms of predicting the output power yield, proper acquisition, recording and investigation of relevant environmental parameters are considered to guarantee accuracy in the predictive models. In this paper, the authors analyze and predict the effects of these relevant environment parameters (e.g. ambient temperature, PV surface temperature, irradiance, relative humidity, dust settlement and wind speed) on the performance of PV cells in terms of output power. Different predictive models based on Machine Learning approach are trained and tested to estimate the actual PV output power in reference with an adequate time frame. Results show that the developed models could predict the PV output power accurately.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"370 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115985683","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702977
A. Dahbi, R. Maouedj, B. Berbaoui, A. Reama, Mehdi Adel
This paper studies the modeling and the controls applied on a real wind turbine (V52) in different operation modes. According to the available wind power and the nominal power, the wind turbine produced power is optimized in a wide range wind speed thanks to the applied controls in all operation regions. When the power is lower than its nominal value, the maximum power point tracking (MPPT) strategies is applied. However, in high rotation speed and high power relatively, the rotation speed and the produced power are limited to their nominal values, all these is ensured by an intelligent neural network controller. The simulation results proved the validity of the model and the control strategies applied. They show that the proposed controls are efficient solutions to protect the Wind Energy Conversion System (WECS) and ensure the electric energy production in high wind speed relatively.
{"title":"Analysis and Control of the Wind Turbine in Different Operation Modes","authors":"A. Dahbi, R. Maouedj, B. Berbaoui, A. Reama, Mehdi Adel","doi":"10.1109/IRSEC.2018.8702977","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702977","url":null,"abstract":"This paper studies the modeling and the controls applied on a real wind turbine (V52) in different operation modes. According to the available wind power and the nominal power, the wind turbine produced power is optimized in a wide range wind speed thanks to the applied controls in all operation regions. When the power is lower than its nominal value, the maximum power point tracking (MPPT) strategies is applied. However, in high rotation speed and high power relatively, the rotation speed and the produced power are limited to their nominal values, all these is ensured by an intelligent neural network controller. The simulation results proved the validity of the model and the control strategies applied. They show that the proposed controls are efficient solutions to protect the Wind Energy Conversion System (WECS) and ensure the electric energy production in high wind speed relatively.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818358","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8703025
A. Elmouatamid, M. Bakhouya, R. Ouladsine, N. El Kamoun, K. Zine-dine, M. Khaidar, R. Abid
Renewable energy sources (RES) have been promoted to overcome environmental constraints as well as the scarcity of fossil energy sources. In fact, many initiatives have been deployed by integrating these sources (e.g. Photovoltaic panel, Wind, Fuel cell...) in order to increase energy efficiency (i.e., electricity production) in buildings while limiting CO2 emissions. In parallel to this development, micro-grids have emerged as decentralized systems to allow connecting different decentralized sources in which buildings become active electricity producers in addition to the main traditional electric grid. However, a smarter demand response management system is required to efficiently balancing the energy production, storage, and the electricity consumption. In this paper, a demand/response control approach is introduced by integrating into a holistic platform different RES together with storage devices for supplying electricity to buildings equipment (e.g. ventilation system, lighting…). A prototype was developed and deployed in our EEBLab for experiments and real-testing. Preliminary experimental results are reported and show the usefulness of the proposed holistic approach.
{"title":"Deployment and Experimental Evaluation of Micro-Grid Systems","authors":"A. Elmouatamid, M. Bakhouya, R. Ouladsine, N. El Kamoun, K. Zine-dine, M. Khaidar, R. Abid","doi":"10.1109/IRSEC.2018.8703025","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8703025","url":null,"abstract":"Renewable energy sources (RES) have been promoted to overcome environmental constraints as well as the scarcity of fossil energy sources. In fact, many initiatives have been deployed by integrating these sources (e.g. Photovoltaic panel, Wind, Fuel cell...) in order to increase energy efficiency (i.e., electricity production) in buildings while limiting CO2 emissions. In parallel to this development, micro-grids have emerged as decentralized systems to allow connecting different decentralized sources in which buildings become active electricity producers in addition to the main traditional electric grid. However, a smarter demand response management system is required to efficiently balancing the energy production, storage, and the electricity consumption. In this paper, a demand/response control approach is introduced by integrating into a holistic platform different RES together with storage devices for supplying electricity to buildings equipment (e.g. ventilation system, lighting…). A prototype was developed and deployed in our EEBLab for experiments and real-testing. Preliminary experimental results are reported and show the usefulness of the proposed holistic approach.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"46 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116649562","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702877
K. B. Alaoui, Saida Laalioui, B. Ikken, A. Outzourhit
Hydrogenated amorphous silicon (a-S:H) thin films were deposited by plasma enhanced chemical vapor deposition (PECVD) at 13.56 MHz plasma excitation frequency and DC sputtering PVD on 1x1 cm2 Asahi Glass substrate covered by SnO2:F TCO, using three different Mask configuration and the same recipe. The electrical properties were investigated. The “PIN-Simple Metal mask + Electrode Tin welding mask” configuration, which is prepared by deposing the P,I and N layers on an Asahi Glass coated with SnO2:F TCO, then placing the metal mask only for the PVD deposition of the Aluminum back contact, to use a special Tin welding prepared manually by an ultrasonic welding pen at the end, significantly improves the efficiency, the FF and the Isc, to find a best cell electrical parameters of Isc(mA) 14,36 mA for the Isc, 0,846 V for the VOC, 64.56 % for the FF and 7.84 % for the efficiency which allows us to find an attractive solution for reducing contact resistance without laser scribing.
采用等离子体增强化学气相沉积(PECVD)技术，在13.56 MHz等离子体激励频率下，在1x1 cm2的旭硝子玻璃衬底上，采用三种不同的掩膜结构和相同的工艺，制备了氢化非晶硅(a-S:H)薄膜。对其电性能进行了研究。“PIN-Simple金属掩膜+电极锡焊接面罩”配置,由废黜P,我和N层的旭硝子涂SnO2: F TCO,然后将金属屏蔽只的PVD沉积铝接触,使用特殊锡焊接准备手工超声波焊笔最后,大大提高了效率,FF Isc,找到一个最佳的细胞电参数Isc (mA) 14日,Isc马36,0846 V的挥发性有机化合物,FF为64.56%，效率为7.84%，这使我们能够找到一种有吸引力的解决方案，可以在没有激光划线的情况下降低接触电阻。
{"title":"Effect of Three Different Masks Configuration on the Electrical Characteristics of Amorphous Silicon Solar Cells using Plasma Enhanced Chemical Vapor Deposition","authors":"K. B. Alaoui, Saida Laalioui, B. Ikken, A. Outzourhit","doi":"10.1109/IRSEC.2018.8702877","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702877","url":null,"abstract":"Hydrogenated amorphous silicon (a-S:H) thin films were deposited by plasma enhanced chemical vapor deposition (PECVD) at 13.56 MHz plasma excitation frequency and DC sputtering PVD on 1x1 cm2 Asahi Glass substrate covered by SnO2:F TCO, using three different Mask configuration and the same recipe. The electrical properties were investigated. The “PIN-Simple Metal mask + Electrode Tin welding mask” configuration, which is prepared by deposing the P,I and N layers on an Asahi Glass coated with SnO2:F TCO, then placing the metal mask only for the PVD deposition of the Aluminum back contact, to use a special Tin welding prepared manually by an ultrasonic welding pen at the end, significantly improves the efficiency, the FF and the Isc, to find a best cell electrical parameters of Isc(mA) 14,36 mA for the Isc, 0,846 V for the VOC, 64.56 % for the FF and 7.84 % for the efficiency which allows us to find an attractive solution for reducing contact resistance without laser scribing.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247785","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702871
Kawtar Benabdelaziz, M. Maaroufi, B. Ikken
Electric vehicles are now a solution for the reduction of greenhouse gases and their battery lifetime is a fundamental aspect for its successful introduction. The batteries, mostly lithium ion, are subject to temperature-related degradation. In the southern region of Morocco in Benguerir, a pilot project of electric vehicles is aimed to test the introduction of this means of transport under specific climate conditions. The vehicles batteries were subjected to a test in real life conditions which allowed to establish a correlation between the degradation of the batteries and the high temperatures. This article presents the results of this study and shows how the high temperature of southern region may be hindering the development of this technology and the proposed solutions to guarantee the safety and extend the cycle life of batteries within electric vehicles.
{"title":"Degradation of Lithium-Ion Batteries in Electric Vehicles at High Temperatures: A Case Study","authors":"Kawtar Benabdelaziz, M. Maaroufi, B. Ikken","doi":"10.1109/IRSEC.2018.8702871","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702871","url":null,"abstract":"Electric vehicles are now a solution for the reduction of greenhouse gases and their battery lifetime is a fundamental aspect for its successful introduction. The batteries, mostly lithium ion, are subject to temperature-related degradation. In the southern region of Morocco in Benguerir, a pilot project of electric vehicles is aimed to test the introduction of this means of transport under specific climate conditions. The vehicles batteries were subjected to a test in real life conditions which allowed to establish a correlation between the degradation of the batteries and the high temperatures. This article presents the results of this study and shows how the high temperature of southern region may be hindering the development of this technology and the proposed solutions to guarantee the safety and extend the cycle life of batteries within electric vehicles.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470216","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702854
Waleed Obaid, A. Hamid, C. Ghenai
A design for solar and diesel hybrid power system is proposed for electric boat operating by solar PV array with optimization by Maximization Maximum Power Point Tracking (MPPT) system and diesel generator that uses diesel oil for the propulsion system while considering the changes of solar irradiance caused by weather factors such as humidity, temperature degree, and the speed of wind. The hybrid system output is a three-phase asynchronous machine for moving the electric boat. Solar power is a vital electricity source for supplying the required electrical needs to the boat since it is clean and renewable. Battery operation determines the choice between diesel and solar power for supplying the electrical loads for the boat. Solar irradiance forecasting was considered by using Neural Network for planning the operation of the hybrid power system that operates the electric boat. Simulation results for the hybrid system as well as the solar irradiance forecasting are presented using MATLAB and SIMULINK.
{"title":"Hybrid Power System Design for Electric Boat with Solar Irradiance Forcasting","authors":"Waleed Obaid, A. Hamid, C. Ghenai","doi":"10.1109/IRSEC.2018.8702854","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702854","url":null,"abstract":"A design for solar and diesel hybrid power system is proposed for electric boat operating by solar PV array with optimization by Maximization Maximum Power Point Tracking (MPPT) system and diesel generator that uses diesel oil for the propulsion system while considering the changes of solar irradiance caused by weather factors such as humidity, temperature degree, and the speed of wind. The hybrid system output is a three-phase asynchronous machine for moving the electric boat. Solar power is a vital electricity source for supplying the required electrical needs to the boat since it is clean and renewable. Battery operation determines the choice between diesel and solar power for supplying the electrical loads for the boat. Solar irradiance forecasting was considered by using Neural Network for planning the operation of the hybrid power system that operates the electric boat. Simulation results for the hybrid system as well as the solar irradiance forecasting are presented using MATLAB and SIMULINK.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115529630","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 : 2018-12-01DOI: 10.1109/IRSEC.2018.8702838
M. S. Davis, M. Madani
Electrical power generated by wind turbines is determined by the cube of the wind speed. With all other parameters being identical, wind turbines experiencing different wind profiles will generate varying amounts of electricity. Wind profiles change drastically across terrains, therefore not all locations are suitable for wind projects. As such, effective and efficient identification and geolocating of land parcels featuring proper wind resources suitable for wind turbine siting, known as an Aeola, is critical for a wind project’s success. The scope of this research is to identify terrain patterns conducive for the formation of high wind resource levels defined as average annual wind speeds in excess of ten meters per second, known as Aeolas. This research is intended to (1) formally define and discuss Aeolas, (2) locate Aeolas within the contiguous United States, (3) identify terrain patterns controlling formations of the previously located Aeolas, and (4) successfully geolocate an Aeola within Honduras’ Bay Islands using patterns developed based on conterminous United States Aeolas.
{"title":"Geolocating Aeola for Use in Wind Turbine Siting","authors":"M. S. Davis, M. Madani","doi":"10.1109/IRSEC.2018.8702838","DOIUrl":"https://doi.org/10.1109/IRSEC.2018.8702838","url":null,"abstract":"Electrical power generated by wind turbines is determined by the cube of the wind speed. With all other parameters being identical, wind turbines experiencing different wind profiles will generate varying amounts of electricity. Wind profiles change drastically across terrains, therefore not all locations are suitable for wind projects. As such, effective and efficient identification and geolocating of land parcels featuring proper wind resources suitable for wind turbine siting, known as an Aeola, is critical for a wind project’s success. The scope of this research is to identify terrain patterns conducive for the formation of high wind resource levels defined as average annual wind speeds in excess of ten meters per second, known as Aeolas. This research is intended to (1) formally define and discuss Aeolas, (2) locate Aeolas within the contiguous United States, (3) identify terrain patterns controlling formations of the previously located Aeolas, and (4) successfully geolocate an Aeola within Honduras’ Bay Islands using patterns developed based on conterminous United States Aeolas.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114341363","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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