Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150527
S. M. N. Ali, M. J. Hossain, V. Sharma, M. Kashif
The increase in operating as well as environmental temperature of an electric vehicle (EV) motor drive causes significant variations in its performance parameters such as rotor, stator resistance and mutual inductance. This variation results in the overall performance degradation of electrified powertrain in the form of excessive fuel (battery) consumption and inability to meet the desired terminal characteristics such as speed, torque and flux. To mitigate this issue, a robust linear parameter varying (LPV) control incorporated with linear matrix inequalities (LMIs) is presented in this work that ensures L2 gain bound and closed-loop control system stability. A comparison of sliding mode control (SMC) is made with the proposed controller to validate its robustness. In order to verify the efficacy of LPV controller, its performance is tested against a New European Driving Cycle (NEDC) in MATLAB Simulink environment. The nonlinear simulation results gurantee the excellence of LPV performance.
{"title":"Thermal Control Compensation of Induction Motor Drive in Electrified Powertrain","authors":"S. M. N. Ali, M. J. Hossain, V. Sharma, M. Kashif","doi":"10.1109/SusTech47890.2020.9150527","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150527","url":null,"abstract":"The increase in operating as well as environmental temperature of an electric vehicle (EV) motor drive causes significant variations in its performance parameters such as rotor, stator resistance and mutual inductance. This variation results in the overall performance degradation of electrified powertrain in the form of excessive fuel (battery) consumption and inability to meet the desired terminal characteristics such as speed, torque and flux. To mitigate this issue, a robust linear parameter varying (LPV) control incorporated with linear matrix inequalities (LMIs) is presented in this work that ensures L2 gain bound and closed-loop control system stability. A comparison of sliding mode control (SMC) is made with the proposed controller to validate its robustness. In order to verify the efficacy of LPV controller, its performance is tested against a New European Driving Cycle (NEDC) in MATLAB Simulink environment. The nonlinear simulation results gurantee the excellence of LPV performance.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117161007","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150524
Elpiniki Apostolaki-Iosifidou, M. Pruckner, Soomin Woo, T. Lipman
As the number of electric vehicles is increasing, there is a pervasive call for research and new strategies in the field of vehicle grid integration. Using electric vehicle real-time data, drivers' spatial behavior and patterns can be derived for their morning and evening commute. These patterns combined with dynamic electricity costs, wholesale and retail, and variable greenhouse gas (GHG) emissions, lead to significant outcomes on savings and environmental impact. In this study, electric vehicle charging management is analyzed for the case of north California, using real world data. The study provides insights about driving behaviors, charging decisions, electricity prices, and environmental impact, while the methodology can be applied in other areas. Results show a) north California regions that need special attention in terms of charging decisions in order to reduce wholesale electricity prices, b) temporal findings for utility electricity price reduction with PM hours the most important slots, and c) possibilities for environmental impact mitigation.
{"title":"Electric Vehicle Charge Management for Lowering Costs and Environmental Impact","authors":"Elpiniki Apostolaki-Iosifidou, M. Pruckner, Soomin Woo, T. Lipman","doi":"10.1109/SusTech47890.2020.9150524","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150524","url":null,"abstract":"As the number of electric vehicles is increasing, there is a pervasive call for research and new strategies in the field of vehicle grid integration. Using electric vehicle real-time data, drivers' spatial behavior and patterns can be derived for their morning and evening commute. These patterns combined with dynamic electricity costs, wholesale and retail, and variable greenhouse gas (GHG) emissions, lead to significant outcomes on savings and environmental impact. In this study, electric vehicle charging management is analyzed for the case of north California, using real world data. The study provides insights about driving behaviors, charging decisions, electricity prices, and environmental impact, while the methodology can be applied in other areas. Results show a) north California regions that need special attention in terms of charging decisions in order to reduce wholesale electricity prices, b) temporal findings for utility electricity price reduction with PM hours the most important slots, and c) possibilities for environmental impact mitigation.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503583","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150520
Ahmad Arsalan Pasdar, M. Mansouri
Norway is the third-largest consumer of electric vehicles in the world behind China and the USA. Norway is also holding the largest amount of electric vehicles per capita in the world. But not without reason, Norway is also the country where the incentives and tax deduction for buying and using electric vehicles and low-emission cars are the greatest. To reach the goals Norway has set for a reduction in greenhouse gas emissions by the year 2030, a big reduction in CO2 and NOX emission in the mobility sector is necessary. Norway's goals can only be partially reached by current policies for electric vehicles and plug-in hybrids. In this paper, we will investigate current policies by leveraging Systems Thinking. We will use a Systemigram to get a better understanding of the dynamic relationship of the mobility sector relative to current policies, climate, and people. After achieving a holistic view of the challenges and possible improvements, suggestions will be made to make a better and sustainable climate policy instrument.
{"title":"A Better Policy for Electric and Low-Emission Cars Using Systems Thinking","authors":"Ahmad Arsalan Pasdar, M. Mansouri","doi":"10.1109/SusTech47890.2020.9150520","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150520","url":null,"abstract":"Norway is the third-largest consumer of electric vehicles in the world behind China and the USA. Norway is also holding the largest amount of electric vehicles per capita in the world. But not without reason, Norway is also the country where the incentives and tax deduction for buying and using electric vehicles and low-emission cars are the greatest. To reach the goals Norway has set for a reduction in greenhouse gas emissions by the year 2030, a big reduction in CO2 and NOX emission in the mobility sector is necessary. Norway's goals can only be partially reached by current policies for electric vehicles and plug-in hybrids. In this paper, we will investigate current policies by leveraging Systems Thinking. We will use a Systemigram to get a better understanding of the dynamic relationship of the mobility sector relative to current policies, climate, and people. After achieving a holistic view of the challenges and possible improvements, suggestions will be made to make a better and sustainable climate policy instrument.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116787059","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150522
Alejandro Peraza, Andrew Freiha, Carlos Hernández, Kris Whaley, Thomas Barbarito, Tristan Sizik, Kristian Diaz, Y. Teh
A prototype of wireless sensor system is built using commercial-off-the-shelf (COTS) components to collect field sensor data in the Salton Sea, Imperial Valley region. The system is powered by a dual-CPU core system. The first CPU core, a low-power 8-bit microcontroller core which is running 24/7, overseeing the timing and power management of the entire system; the second CPU core, a high-power 64-bit Raspberry Pi which is connected to peripheral sensors and communication sub-systems based on the LoRa radio chip-set. The system is powered by a thin-film solar cell and Lithium rechargeable battery, housed in a water-proof casing. Power consumption profiles of different sub-systems are characterized to ensure sustainable operation of the sensor system.
{"title":"A LoRa-based Dual-CPU Core Salton Sea Environmental Monitoring Wireless Sensor System","authors":"Alejandro Peraza, Andrew Freiha, Carlos Hernández, Kris Whaley, Thomas Barbarito, Tristan Sizik, Kristian Diaz, Y. Teh","doi":"10.1109/SusTech47890.2020.9150522","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150522","url":null,"abstract":"A prototype of wireless sensor system is built using commercial-off-the-shelf (COTS) components to collect field sensor data in the Salton Sea, Imperial Valley region. The system is powered by a dual-CPU core system. The first CPU core, a low-power 8-bit microcontroller core which is running 24/7, overseeing the timing and power management of the entire system; the second CPU core, a high-power 64-bit Raspberry Pi which is connected to peripheral sensors and communication sub-systems based on the LoRa radio chip-set. The system is powered by a thin-film solar cell and Lithium rechargeable battery, housed in a water-proof casing. Power consumption profiles of different sub-systems are characterized to ensure sustainable operation of the sensor system.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128519133","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 : 2020-04-01DOI: 10.1109/sustech47890.2020.9150513
{"title":"Index","authors":"","doi":"10.1109/sustech47890.2020.9150513","DOIUrl":"https://doi.org/10.1109/sustech47890.2020.9150513","url":null,"abstract":"","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130133644","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150509
Theerapong Fongjun, J. Phontip, A. Jomtarax, K. Suksomboon
Traditional Remote Terminal Units (RTU) have fixed features and channels on each unit. We had the product, the RTU being used in dams in Thailand, when a user wants to add a feature or more channels to it, the user will have to buy a new RTU or an I/O expansion unit to expand it. In this paper, we show the method by which the Universal Remote Terminal Unit (uRTU) can adjust its channels and features without changing the software configuration with card modules that are auto configurable. Users can add more features or change features of the uRTU without buying a new unit by adding or changing the card module. In addition the users can change card modules between a uRTU with other uRTUs. It is convenient for the users to do it by themselves. The uRTU is a prototype that updates the RTU in dams to a more functional industrial version by adding more features and flexibility.
{"title":"Auto-Configurable Feature in Universal Remote Terminal Unit (uRTU)","authors":"Theerapong Fongjun, J. Phontip, A. Jomtarax, K. Suksomboon","doi":"10.1109/SusTech47890.2020.9150509","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150509","url":null,"abstract":"Traditional Remote Terminal Units (RTU) have fixed features and channels on each unit. We had the product, the RTU being used in dams in Thailand, when a user wants to add a feature or more channels to it, the user will have to buy a new RTU or an I/O expansion unit to expand it. In this paper, we show the method by which the Universal Remote Terminal Unit (uRTU) can adjust its channels and features without changing the software configuration with card modules that are auto configurable. Users can add more features or change features of the uRTU without buying a new unit by adding or changing the card module. In addition the users can change card modules between a uRTU with other uRTUs. It is convenient for the users to do it by themselves. The uRTU is a prototype that updates the RTU in dams to a more functional industrial version by adding more features and flexibility.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124720668","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150519
D. Espejel-Blanco, J. Hoyo-Montaño, J. M. Chávez, Fredy A. Hernandez-Aguirre
This paper presents the development of a Node Sensor for sensing environmental variables in a Building and control the lighting system and HVAC (Heating, Ventilation and Air Conditioning) with the objective of reducing the energy consumption in these two systems. A BEMS (Building Energy Management System) is a control system of the principal energy consumption sources for energy savings. The node sensor is capable of measuring temperature, humidity and lighting through an LM35 temperature sensor, a DHT11 humidity and temperature sensor and a BH1750FVI ambient light sensor. All sensors are connected to an Atmega328p microprocessor with a program for receive all the sensor signals, also the microprocessor are connected to an XBEE module for communication purpose with a Raspberry Pi. The main objective of this development is sensing environmental variables with digital and analogical sensors connected with a control system for turn on, turn off the lights, and control the set points of the HVAC equipments.
{"title":"Sensor Node Design for Energy Savings in Building Energy Management Systems","authors":"D. Espejel-Blanco, J. Hoyo-Montaño, J. M. Chávez, Fredy A. Hernandez-Aguirre","doi":"10.1109/SusTech47890.2020.9150519","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150519","url":null,"abstract":"This paper presents the development of a Node Sensor for sensing environmental variables in a Building and control the lighting system and HVAC (Heating, Ventilation and Air Conditioning) with the objective of reducing the energy consumption in these two systems. A BEMS (Building Energy Management System) is a control system of the principal energy consumption sources for energy savings. The node sensor is capable of measuring temperature, humidity and lighting through an LM35 temperature sensor, a DHT11 humidity and temperature sensor and a BH1750FVI ambient light sensor. All sensors are connected to an Atmega328p microprocessor with a program for receive all the sensor signals, also the microprocessor are connected to an XBEE module for communication purpose with a Raspberry Pi. The main objective of this development is sensing environmental variables with digital and analogical sensors connected with a control system for turn on, turn off the lights, and control the set points of the HVAC equipments.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898340","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150491
M. Basit, Mohsin Khalil, Majid Khan, Muhammad Ammar Murtaza
Electro-optic and thermal imaging cameras provide video output in various media formats. Since both these types differ in terms of operating principle, the electro-optic camera provides a sharp and coloured video output in good lighting conditions. However, this arrangement is rendered ineffective in dark areas with low lighting conditions and a thermal imaging camera is deemed suitable for said purpose. The raw video formats obtained by such cameras are not compliant for video streaming over the network in majority cases and are required to be IP encoded to facilitate remote access. In this work, we perform real-time data fusion of videos obtained by an electro-optic camera and a thermal imaging camera for enhanced surveillance. Furthermore, we develop an IP encoder for facilitation of remote access of the overlay video obtained from both the cameras. This system is pragmatic especially from a security-oriented viewpoint where the combined video of thermal and electro-optic cameras is streamed over an IP network in real-time so that no unnecessary movement goes unnoticed; thus enabling remote access along with an enhanced user experience.
{"title":"A Luminous-free Remote Surveillance System with Inherent Video Overlay and IP Encoder","authors":"M. Basit, Mohsin Khalil, Majid Khan, Muhammad Ammar Murtaza","doi":"10.1109/SusTech47890.2020.9150491","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150491","url":null,"abstract":"Electro-optic and thermal imaging cameras provide video output in various media formats. Since both these types differ in terms of operating principle, the electro-optic camera provides a sharp and coloured video output in good lighting conditions. However, this arrangement is rendered ineffective in dark areas with low lighting conditions and a thermal imaging camera is deemed suitable for said purpose. The raw video formats obtained by such cameras are not compliant for video streaming over the network in majority cases and are required to be IP encoded to facilitate remote access. In this work, we perform real-time data fusion of videos obtained by an electro-optic camera and a thermal imaging camera for enhanced surveillance. Furthermore, we develop an IP encoder for facilitation of remote access of the overlay video obtained from both the cameras. This system is pragmatic especially from a security-oriented viewpoint where the combined video of thermal and electro-optic cameras is streamed over an IP network in real-time so that no unnecessary movement goes unnoticed; thus enabling remote access along with an enhanced user experience.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132155984","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150518
C. Monjardin, F. J. Tan, F. A. Uy, Franz Jayson P. Bale, Emmanuel O. Voluntad, Ria Mae N. Batac
The residents of Infanta, Quezon Province has been dealing with flood and calamities for several years. With that, this research focused on the radical assessment of existing drainage system in the municipality. Lidar DEM was used to determine the elevation and slopes in the area which is a very important input drainage system analysis. The researchers did vulnerability assessment in the area considering relevant factors about the existing drainage system. These factors were elevation, population, soil permeability, rainfall intensity, flow discharge of drainage, distance from river basin to drainage line, and land cover. The importance of each factor was determined based on the survey made from the researchers of the FRAMER project of Mapua-DOST PCIEERD. Weights of each factor were identified with the aid of Analytical Hierarchy Process. Weights of each factors are as follows Flow discharge capacity with 22.3%, Elevation 17.1%, Soil permeability 14.6%, Distance to river 14.5%, Rainfall intensity 12.4%, Population 11.8% and Land Use 7.2%. Validity of the survey made from the experts were checked by calculating the consistency of their answers. Consistency index was calculated to be 0.11 which is in the range of acceptable value. A risk map was then created using geographical information system to determine spatially which drainage line is most vulnerable to flooding. It was found out that there are seven zones that are at risk to flooding due to the inadequacy of the drainage and other factors mentioned in the vulnerability assessment but Poblacion area is the one that needed the rehabilitation the most.
{"title":"Assessment of the Existing Drainage System in Infanta, Quezon Province for Flood Hazard Management using Analytical Hierarchy Process","authors":"C. Monjardin, F. J. Tan, F. A. Uy, Franz Jayson P. Bale, Emmanuel O. Voluntad, Ria Mae N. Batac","doi":"10.1109/SusTech47890.2020.9150518","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150518","url":null,"abstract":"The residents of Infanta, Quezon Province has been dealing with flood and calamities for several years. With that, this research focused on the radical assessment of existing drainage system in the municipality. Lidar DEM was used to determine the elevation and slopes in the area which is a very important input drainage system analysis. The researchers did vulnerability assessment in the area considering relevant factors about the existing drainage system. These factors were elevation, population, soil permeability, rainfall intensity, flow discharge of drainage, distance from river basin to drainage line, and land cover. The importance of each factor was determined based on the survey made from the researchers of the FRAMER project of Mapua-DOST PCIEERD. Weights of each factor were identified with the aid of Analytical Hierarchy Process. Weights of each factors are as follows Flow discharge capacity with 22.3%, Elevation 17.1%, Soil permeability 14.6%, Distance to river 14.5%, Rainfall intensity 12.4%, Population 11.8% and Land Use 7.2%. Validity of the survey made from the experts were checked by calculating the consistency of their answers. Consistency index was calculated to be 0.11 which is in the range of acceptable value. A risk map was then created using geographical information system to determine spatially which drainage line is most vulnerable to flooding. It was found out that there are seven zones that are at risk to flooding due to the inadequacy of the drainage and other factors mentioned in the vulnerability assessment but Poblacion area is the one that needed the rehabilitation the most.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124528742","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 : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150521
Raquel Vidorreta-López, Juan Manuel Silva-Campos, Jorge Alberto Medina-Ruiz, José Manuel Olais-Govea
The present work shows the design of a mesoscopic low-power hydrokinetic turbine (160 cm in diameter). We analyze the relationship between the density of the fluid and the speed of the California Current with respect to the energy that is captured by the turbine due to the design. A critical factor in the implementation of the turbine on this scale is the design of the blades, which must withstand the loads generated by the force of the tides and the conditions of the marine environment (salinity, cavitation phenomena along the body of the blades, among others). A free code program based on a Matlab environment was used for the optimization of the blade and in ANSYS Fluent the drag and lift coefficient values were analyzed for a selected profile. The turbine elements were designed in SolidWorks. When the current speed is maximum, we achieve a final electrical power of 4.5kW, approximately.
{"title":"Extracting Clean Energy Through the Design of a Mesoscopic Low-Power Hydrokinetic Turbine","authors":"Raquel Vidorreta-López, Juan Manuel Silva-Campos, Jorge Alberto Medina-Ruiz, José Manuel Olais-Govea","doi":"10.1109/SusTech47890.2020.9150521","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150521","url":null,"abstract":"The present work shows the design of a mesoscopic low-power hydrokinetic turbine (160 cm in diameter). We analyze the relationship between the density of the fluid and the speed of the California Current with respect to the energy that is captured by the turbine due to the design. A critical factor in the implementation of the turbine on this scale is the design of the blades, which must withstand the loads generated by the force of the tides and the conditions of the marine environment (salinity, cavitation phenomena along the body of the blades, among others). A free code program based on a Matlab environment was used for the optimization of the blade and in ANSYS Fluent the drag and lift coefficient values were analyzed for a selected profile. The turbine elements were designed in SolidWorks. When the current speed is maximum, we achieve a final electrical power of 4.5kW, approximately.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129391553","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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