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}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150517
F. J. Tan, F. A. Uy, F. Cruz, C. Monjardin, Marlou Ryan G. Ga, R. Gania, Rose Ann F. Amado, Mark Kevin V. Cachuela, Roy G. Gallardo
An important input in the hydrologic system that we translate into a hydrologic model is precipitation. In the Philippines, its tropical location and orientation being subjected to the Southwest Monsoon winds make it abundant with rainfall. It is one of the countries in the world with the greatest recorded rainfalls. Nevertheless, during the dry season, the country experiences water scarcity, compromising water supply for various uses. In impoundments such as the Magat Dam, water allocation to different stakeholders - irrigation and hydropower - has to be optimized for fair water distribution. Much needed in decision-making is to have an accurate information of what is to be measured. Rainfall in a watershed is a distributed phenomenon, hence, rain gauges in a large catchment has to be in distributed in the area to be able to get a more correct representation of the rainfall distribution.
{"title":"Smart Watershed Monitoring for near Real-time Hydrologic Modeling in a Tropical Environment: The Case of Magat River Basin in Luzon, Philippines","authors":"F. J. Tan, F. A. Uy, F. Cruz, C. Monjardin, Marlou Ryan G. Ga, R. Gania, Rose Ann F. Amado, Mark Kevin V. Cachuela, Roy G. Gallardo","doi":"10.1109/SusTech47890.2020.9150517","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150517","url":null,"abstract":"An important input in the hydrologic system that we translate into a hydrologic model is precipitation. In the Philippines, its tropical location and orientation being subjected to the Southwest Monsoon winds make it abundant with rainfall. It is one of the countries in the world with the greatest recorded rainfalls. Nevertheless, during the dry season, the country experiences water scarcity, compromising water supply for various uses. In impoundments such as the Magat Dam, water allocation to different stakeholders - irrigation and hydropower - has to be optimized for fair water distribution. Much needed in decision-making is to have an accurate information of what is to be measured. Rainfall in a watershed is a distributed phenomenon, hence, rain gauges in a large catchment has to be in distributed in the area to be able to get a more correct representation of the rainfall distribution.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1043 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":"128283918","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/SusTech47890.2020.9150508
James Olmsted, S. Mwangi, Korey Pecha, O. Baiocchi, Katalina Biondi, S. Teng, F. Baiocchi
In this paper, we describe the hybridization of Microsoft Azure and Ionic for the development of a platform to track air quality in the Azores Archipelago, Portugal. The Azores region has had a sharp increase in tourism, which has led to greater public investment in sustainable tourism practices. The platform under development will access data logs from a wireless network of thermoelectric sensors, and allow users to upload data from locations outside the wireless network. The uploads will be done using a cross-platform Ionic app that is in progressive development. The app will be easily customizable and scalable across all web browsers and platforms, including desktop and mobile. The data uploaded will be stored on Microsoft Azure's Cloud infrastructure and accessible via our application. This paper focuses on the experimental setup, the collection of data pertaining to air quality and the display of the data, based on a timeline that starts from the most recent data updates and continues into the past. Data from individual sensors can also be isolated for display based on the location of the sensors. This research has been undertaken by the University of Washington, Tacoma in collaboration with the University of the Azores and the Federal University of Paraíba, Brazil.
{"title":"Hybrid Environment IoT-Mapping of Over-Tourism and Air Pollution in the Azores Archipelago","authors":"James Olmsted, S. Mwangi, Korey Pecha, O. Baiocchi, Katalina Biondi, S. Teng, F. Baiocchi","doi":"10.1109/SusTech47890.2020.9150508","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150508","url":null,"abstract":"In this paper, we describe the hybridization of Microsoft Azure and Ionic for the development of a platform to track air quality in the Azores Archipelago, Portugal. The Azores region has had a sharp increase in tourism, which has led to greater public investment in sustainable tourism practices. The platform under development will access data logs from a wireless network of thermoelectric sensors, and allow users to upload data from locations outside the wireless network. The uploads will be done using a cross-platform Ionic app that is in progressive development. The app will be easily customizable and scalable across all web browsers and platforms, including desktop and mobile. The data uploaded will be stored on Microsoft Azure's Cloud infrastructure and accessible via our application. This paper focuses on the experimental setup, the collection of data pertaining to air quality and the display of the data, based on a timeline that starts from the most recent data updates and continues into the past. Data from individual sensors can also be isolated for display based on the location of the sensors. This research has been undertaken by the University of Washington, Tacoma in collaboration with the University of the Azores and the Federal University of Paraíba, Brazil.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"66 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":"132823707","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/SusTech47890.2020.9150511
L. G. Zadeh, D. Glennon, T. Brekken
In this paper, a reinforcement learning method is used to tune a non-linear reactive control model parameters of a two-body point absorber Ocean Wave Energy Converter (OWEC). In particular, an Actor-Critic algorithm, as a model-free method is adopted for the maximization of the energy extraction, adaptive to the sea state. Different values of Power Take-Off (PTO) control parameters are applied to the system to observe reward and penalty of the taken action. Reward is determined by the average power over a specific time horizon lasting several wave periods. A two-body point absorber, simulated in WEC-Sim, is developed as the agent in order to validate the control strategy for different wave conditions. Results for the analyzed sea states verifies that the proposed non-linear control law learns the optimal PTO control parameters in specified sea states.
{"title":"Non-Linear Control Strategy for a Two-Body Point Absorber Wave Energy Converter Using Q Actor-Critic Learning","authors":"L. G. Zadeh, D. Glennon, T. Brekken","doi":"10.1109/SusTech47890.2020.9150511","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150511","url":null,"abstract":"In this paper, a reinforcement learning method is used to tune a non-linear reactive control model parameters of a two-body point absorber Ocean Wave Energy Converter (OWEC). In particular, an Actor-Critic algorithm, as a model-free method is adopted for the maximization of the energy extraction, adaptive to the sea state. Different values of Power Take-Off (PTO) control parameters are applied to the system to observe reward and penalty of the taken action. Reward is determined by the average power over a specific time horizon lasting several wave periods. A two-body point absorber, simulated in WEC-Sim, is developed as the agent in order to validate the control strategy for different wave conditions. Results for the analyzed sea states verifies that the proposed non-linear control law learns the optimal PTO control parameters in specified sea states.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"43 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":"128988025","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 : 2020-01-18DOI: 10.1109/SusTech47890.2020.9150529
Sohini Roy, H. Chandrasekaran, A. Pal, Arunabha Sen
The reliable and resilient operation of the smart grid necessitates a clear understanding of the intra-and-inter dependencies of its power and communication systems. This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. The results indicate that the proposed model is more accurate than its predecessor, the implicative interdependency model (IIM) [1], in predicting the system state in case of failures in the power and/or communication systems.
{"title":"A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies","authors":"Sohini Roy, H. Chandrasekaran, A. Pal, Arunabha Sen","doi":"10.1109/SusTech47890.2020.9150529","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150529","url":null,"abstract":"The reliable and resilient operation of the smart grid necessitates a clear understanding of the intra-and-inter dependencies of its power and communication systems. This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. The results indicate that the proposed model is more accurate than its predecessor, the implicative interdependency model (IIM) [1], in predicting the system state in case of failures in the power and/or communication systems.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130650412","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：