Pub Date : 2013-04-04DOI: 10.1109/GREENTECH.2013.40
Andrew Dodson, R. McCann
The increasing deployment of renewable energy sources has raised concerns about the ramp-rate limitations of conventional steam and combustion turbines in providing load following during solar photovoltaic transients. As one of the promising Generation IV reactor technologies, thorium molten salt reactors (TMSR) have a number of advantages in terms of their fuel cycle. In addition, recent advancements in reactor thermal hydraulics have increased the thermal feedback potential for TMSR. This paper examines the transient power characteristics of a TMSR with improved reactivity feedback performance by analyzing the neutronics and temperature interactions with reactor power feedback. Detailed simulations are given that include the nonlinear and transport delay effects of TMSR circulating-fuel reactor dynamics.
{"title":"Investigation of Thermal Feedback Design for Improved Load-Following Capability of Thorium Molten Salt Reactors","authors":"Andrew Dodson, R. McCann","doi":"10.1109/GREENTECH.2013.40","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.40","url":null,"abstract":"The increasing deployment of renewable energy sources has raised concerns about the ramp-rate limitations of conventional steam and combustion turbines in providing load following during solar photovoltaic transients. As one of the promising Generation IV reactor technologies, thorium molten salt reactors (TMSR) have a number of advantages in terms of their fuel cycle. In addition, recent advancements in reactor thermal hydraulics have increased the thermal feedback potential for TMSR. This paper examines the transient power characteristics of a TMSR with improved reactivity feedback performance by analyzing the neutronics and temperature interactions with reactor power feedback. Detailed simulations are given that include the nonlinear and transport delay effects of TMSR circulating-fuel reactor dynamics.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132967867","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.86
Luoyang Fang, R. Griffin, Dongliang Duan, Liuqing Yang
Frequency and phasor are two important parameters for power system monitoring and operation. While most frequency and phasor estimation algorithms are developed separately and only work for complex-valued signals, we propose an iterative joint frequency and phasor estimation method for real-valued signals in power systems. Our proposed method is tested alongside existing algorithms using both numerically by simulations and the experimentally by OpenPMU system, an open source platform for synchronized PMU and smart grid research. The comparisons show that our proposed method not only beats existing single-task algorithms for steady-state signals but also tracks the transient signals with time-varying frequency very well.
{"title":"A Joint Frequency and Phasor Estimation Algorithm Using DFT Samples for Power Systems","authors":"Luoyang Fang, R. Griffin, Dongliang Duan, Liuqing Yang","doi":"10.1109/GREENTECH.2013.86","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.86","url":null,"abstract":"Frequency and phasor are two important parameters for power system monitoring and operation. While most frequency and phasor estimation algorithms are developed separately and only work for complex-valued signals, we propose an iterative joint frequency and phasor estimation method for real-valued signals in power systems. Our proposed method is tested alongside existing algorithms using both numerically by simulations and the experimentally by OpenPMU system, an open source platform for synchronized PMU and smart grid research. The comparisons show that our proposed method not only beats existing single-task algorithms for steady-state signals but also tracks the transient signals with time-varying frequency very well.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125936177","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.19
P. Noonan, M. Wahby
A novel use case will be explored showing how modern graphical system design tools used together with SPICE in a co-simulation environment can be used to represent accurate simulations of practical real world digitally-controlled power inverters with a high level of accuracy while at the same time taking high level power measurements that would otherwise not be practical using separate design environments. This concept allows power design engineers to quickly explore various software and hardware methodologies while evaluating key performance metrics within the simulation. The benefit of using the graphical system design approach with SPICE is two-fold in that the control algorithms for the inverter design can be rapidly adjusted while key metrics of the design can be evaluated in an effort to optimize the design over a wide range of operating conditions. The graphical system design tool methodology of LabVIEW will be used in a collaborative fashion within a SPICE environment (Multisim) to explore the technique of extracting advance power metrics while performing circuit simulation. Using these techniques and co-simulation for implementing the digital control, the analog plant of an inverter scheme will be discussed to accurately evaluate loss, overall system efficiency and loss due to temperature effects and explore system behavior over various startup and load conditions. Simulation results for the digital inverter design with the presented methodology are given. To show the quality of the generated simulation data, simulation data is compared directly with data from a prototype implementation of the same design.
{"title":"Novel Use of Graphical System Design Tools and SPICE to Exploring Efficiency in Power Simulation","authors":"P. Noonan, M. Wahby","doi":"10.1109/GREENTECH.2013.19","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.19","url":null,"abstract":"A novel use case will be explored showing how modern graphical system design tools used together with SPICE in a co-simulation environment can be used to represent accurate simulations of practical real world digitally-controlled power inverters with a high level of accuracy while at the same time taking high level power measurements that would otherwise not be practical using separate design environments. This concept allows power design engineers to quickly explore various software and hardware methodologies while evaluating key performance metrics within the simulation. The benefit of using the graphical system design approach with SPICE is two-fold in that the control algorithms for the inverter design can be rapidly adjusted while key metrics of the design can be evaluated in an effort to optimize the design over a wide range of operating conditions. The graphical system design tool methodology of LabVIEW will be used in a collaborative fashion within a SPICE environment (Multisim) to explore the technique of extracting advance power metrics while performing circuit simulation. Using these techniques and co-simulation for implementing the digital control, the analog plant of an inverter scheme will be discussed to accurately evaluate loss, overall system efficiency and loss due to temperature effects and explore system behavior over various startup and load conditions. Simulation results for the digital inverter design with the presented methodology are given. To show the quality of the generated simulation data, simulation data is compared directly with data from a prototype implementation of the same design.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132668672","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.36
Sou Koyano, S. Ata, H. Iwamoto, Yuji Yano, Y. Kuroda, K. Inoue, I. Oka
For green networking, Sliced Router Architecture was proposed, which controls the power consumption of routers by adjusting the routers' performance on the basis of the volume of traffic. In this architecture, any packet losses can be eliminated, but this leads to a significant increase in processing latency in some cases, which also seriously degrades the performance of routers. In this paper, we propose two extensions to Sliced Router Architecture to achieve both zero packet loss and low latency, which satisfies the requirement in current common routers. We first propose parallelized prediction counters for improving accuracy in prediction. Moreover, we extend the prediction circuit to support multiple prediction functions that derive the number of active slices continuously or flexibly to reduce traffic latency without any packet losses. We then perform a simulation to evaluate improvements in prediction accuracy and the trade-off between power saving and worst traffic latency. Our results show that the power efficiency increased up to 3.4% by introducing parallelized counters and achieved 156μs of the processing latency by accepting a 21.1% increase in power consumption.
{"title":"Improving Latency in Traffic Prediction Based Energy-Aware Routers","authors":"Sou Koyano, S. Ata, H. Iwamoto, Yuji Yano, Y. Kuroda, K. Inoue, I. Oka","doi":"10.1109/GREENTECH.2013.36","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.36","url":null,"abstract":"For green networking, Sliced Router Architecture was proposed, which controls the power consumption of routers by adjusting the routers' performance on the basis of the volume of traffic. In this architecture, any packet losses can be eliminated, but this leads to a significant increase in processing latency in some cases, which also seriously degrades the performance of routers. In this paper, we propose two extensions to Sliced Router Architecture to achieve both zero packet loss and low latency, which satisfies the requirement in current common routers. We first propose parallelized prediction counters for improving accuracy in prediction. Moreover, we extend the prediction circuit to support multiple prediction functions that derive the number of active slices continuously or flexibly to reduce traffic latency without any packet losses. We then perform a simulation to evaluate improvements in prediction accuracy and the trade-off between power saving and worst traffic latency. Our results show that the power efficiency increased up to 3.4% by introducing parallelized counters and achieved 156μs of the processing latency by accepting a 21.1% increase in power consumption.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116895796","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.70
Conor Kelly, A. Ruzzelli, E. Mangina
In recent years, energy consumption has become a major issue in terms of cost, infrastructure requirements and emissions. In deregulated markets electricity prices, renewable energy contribution and emissions can vary substantially from hour to hour. These temporal variations introduce significant opportunities for any flexible energy consumer. A granular analysis of the Irish electricity market for the first four months of 2012 showed the large variations characteristic of deregulated electricity markets - the spot price spiked up to 985% of the average price, marginal emissions varied by up to 55% and renewable energy generation had a standard deviation of 11.78%. Strong correlations are observed between renewable generation and market prices - market prices reduced significantly with increased wind generation. Utilising intelligence and awareness of these market and grid fluctuations allows the delivery of products/services at much more favorable conditions - reducing costs, reducing emissions and increasing renewable energy content are all possible. The aim of the research described in this paper is the development of algorithms which take advantage of variability observed in electricity markets to reduce the costs and emissions of services, and provide a way for service operators to insulate themselves against turbulent market conditions.
{"title":"Using Electricity Market Analytics to Reduce Cost and Environmental Impact","authors":"Conor Kelly, A. Ruzzelli, E. Mangina","doi":"10.1109/GREENTECH.2013.70","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.70","url":null,"abstract":"In recent years, energy consumption has become a major issue in terms of cost, infrastructure requirements and emissions. In deregulated markets electricity prices, renewable energy contribution and emissions can vary substantially from hour to hour. These temporal variations introduce significant opportunities for any flexible energy consumer. A granular analysis of the Irish electricity market for the first four months of 2012 showed the large variations characteristic of deregulated electricity markets - the spot price spiked up to 985% of the average price, marginal emissions varied by up to 55% and renewable energy generation had a standard deviation of 11.78%. Strong correlations are observed between renewable generation and market prices - market prices reduced significantly with increased wind generation. Utilising intelligence and awareness of these market and grid fluctuations allows the delivery of products/services at much more favorable conditions - reducing costs, reducing emissions and increasing renewable energy content are all possible. The aim of the research described in this paper is the development of algorithms which take advantage of variability observed in electricity markets to reduce the costs and emissions of services, and provide a way for service operators to insulate themselves against turbulent market conditions.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114032499","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.87
Yining Qin, G. Jim, L. Min, Yiming Yao
Along with rapid economic growth, urban traffic has become a complicated worldwide issue, which synthesizes out-of-order jam, energy consumption and GHG emission. An autonomic traffic and energy model is proposed based on the micro behavior simulation, in which an information decision factor is introduced. Thus the travel patterns and choice of the road trip have been controlled and optimized dynamically. Simulation with NetLogo verifies that the model can realize the optimization among traffic, energy and greenhouse gas emission and some practical use for solving the existing traffic problems.
{"title":"Micro Behavior Information Decision Research in An ABM Traffic and Energy Model","authors":"Yining Qin, G. Jim, L. Min, Yiming Yao","doi":"10.1109/GREENTECH.2013.87","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.87","url":null,"abstract":"Along with rapid economic growth, urban traffic has become a complicated worldwide issue, which synthesizes out-of-order jam, energy consumption and GHG emission. An autonomic traffic and energy model is proposed based on the micro behavior simulation, in which an information decision factor is introduced. Thus the travel patterns and choice of the road trip have been controlled and optimized dynamically. Simulation with NetLogo verifies that the model can realize the optimization among traffic, energy and greenhouse gas emission and some practical use for solving the existing traffic problems.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"11 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980020","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.65
Junji Usami, Hironori Shigeta, T. Mashita, H. Takemura
Most educational institutes have initiated various efforts to reduce energy consumption. In the case of big universities, the reduction of energy consumption is especially difficult because of the complexity of university systems. To tackle this problem, we constructed a visualization platform encouraging people to reduce electricity consumption. We implemented a website called the "energy consumption visualization portal site" as a pull-based visual presentation and developed a desktop gadget and a digital signage system as push-based visual presentations. This article describes the implementation and evaluation of the pull- and push-based visual presentations. In the evaluation, we focused on increasing the user's motivation. We distributed questionnaires to survey the relationships between the user's motivation and the presentations used. One of the results we obtained is that push-based methods were effective to increase the user's motivation to save electricity, and digital signage was the best of the tested methods.
{"title":"A Visualization System to Raise Awareness of Electricity Conservation in a University Building","authors":"Junji Usami, Hironori Shigeta, T. Mashita, H. Takemura","doi":"10.1109/GREENTECH.2013.65","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.65","url":null,"abstract":"Most educational institutes have initiated various efforts to reduce energy consumption. In the case of big universities, the reduction of energy consumption is especially difficult because of the complexity of university systems. To tackle this problem, we constructed a visualization platform encouraging people to reduce electricity consumption. We implemented a website called the \"energy consumption visualization portal site\" as a pull-based visual presentation and developed a desktop gadget and a digital signage system as push-based visual presentations. This article describes the implementation and evaluation of the pull- and push-based visual presentations. In the evaluation, we focused on increasing the user's motivation. We distributed questionnaires to survey the relationships between the user's motivation and the presentations used. One of the results we obtained is that push-based methods were effective to increase the user's motivation to save electricity, and digital signage was the best of the tested methods.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122830258","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.39
Darick W. LaSelle, R. Liechty, Hassan Alzamzam, R. Foster, Jasmin Dzabic
Green power generation needs to include the manufacturing process as well as the generation itself. For a system to be truly environmentally responsible it should be a renewable system which requires no caustic chemicals or similarly damaging processes while being built. For the proposed system, solar energy can be converted into usable energy without the use of ecologically harmful silicon based manufacturing. To accomplish this, a Stirling cycle-based heat engine with concentrated solar power is proposed. Thermal conversion of power from solar energy creates no harmful emissions. The proposed system will additionally be efficient when compared to a photovoltaic (PV) system with an equal footprint. It will also show a significant improvement in energy return on investment (EROI) when compared to other solar solutions. While solar powered heat engines exist, the proposed system is significantly different from existing systems due to the location of the heat absorber of the Stirling engine.
{"title":"Stirling Dish Generator Using a Focal Point Internal to the Dish","authors":"Darick W. LaSelle, R. Liechty, Hassan Alzamzam, R. Foster, Jasmin Dzabic","doi":"10.1109/GREENTECH.2013.39","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.39","url":null,"abstract":"Green power generation needs to include the manufacturing process as well as the generation itself. For a system to be truly environmentally responsible it should be a renewable system which requires no caustic chemicals or similarly damaging processes while being built. For the proposed system, solar energy can be converted into usable energy without the use of ecologically harmful silicon based manufacturing. To accomplish this, a Stirling cycle-based heat engine with concentrated solar power is proposed. Thermal conversion of power from solar energy creates no harmful emissions. The proposed system will additionally be efficient when compared to a photovoltaic (PV) system with an equal footprint. It will also show a significant improvement in energy return on investment (EROI) when compared to other solar solutions. While solar powered heat engines exist, the proposed system is significantly different from existing systems due to the location of the heat absorber of the Stirling engine.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123292963","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.48
M. Singh, E. Muljadi, J. Jonkman
Wind turbine generators (WTGs) consist of many different components to convert kinetic energy of the wind into electrical energy for end users. Wind energy is accessed to provide mechanical torque for driving the shaft of the electrical generator. The conversion from wind power to mechanical power is governed by the aerodynamic conversion. The aerodynamic-electrical-conversion efficiency of a WTG is influenced by the efficiency of the blades, the gearbox, the generator, and the power converter. This paper describes the use of MATLAB/Simulink to simulate the electrical and grid-related aspects of a WTG coupled with the FAST aero-elastic wind turbine computer-aided engineering tool to simulate the aerodynamic and mechanical aspects of a WTG. The combination of the two enables studies involving both electrical and mechanical aspects of a WTG. For example, mechanical engineers can formulate generator control that may preserve the life of the gearbox or mitigate the impact of transient events occurring on the transmission lines (faults, voltage and frequency dips, unbalanced voltages, etc.). Similarly, electrical engineers can study the impact of high-ramping wind speeds on power systems, as well as the impact of turbulence on the voltage and frequency of a small balancing area.
{"title":"Hybrid Electro-mechanical Simulation Tool for Wind Turbine Generators","authors":"M. Singh, E. Muljadi, J. Jonkman","doi":"10.1109/GREENTECH.2013.48","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.48","url":null,"abstract":"Wind turbine generators (WTGs) consist of many different components to convert kinetic energy of the wind into electrical energy for end users. Wind energy is accessed to provide mechanical torque for driving the shaft of the electrical generator. The conversion from wind power to mechanical power is governed by the aerodynamic conversion. The aerodynamic-electrical-conversion efficiency of a WTG is influenced by the efficiency of the blades, the gearbox, the generator, and the power converter. This paper describes the use of MATLAB/Simulink to simulate the electrical and grid-related aspects of a WTG coupled with the FAST aero-elastic wind turbine computer-aided engineering tool to simulate the aerodynamic and mechanical aspects of a WTG. The combination of the two enables studies involving both electrical and mechanical aspects of a WTG. For example, mechanical engineers can formulate generator control that may preserve the life of the gearbox or mitigate the impact of transient events occurring on the transmission lines (faults, voltage and frequency dips, unbalanced voltages, etc.). Similarly, electrical engineers can study the impact of high-ramping wind speeds on power systems, as well as the impact of turbulence on the voltage and frequency of a small balancing area.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129443784","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 : 2013-04-04DOI: 10.1109/GREENTECH.2013.28
Nailu Li, M. Balas
A study of vibration suppression of a rotating wind turbine blade with unsteady aerodynamic loads and trailing-edge Microtabs was made. The focus is on the aeroelastic dynamics of the spinning blade with dynamic loads, the closed-loop experiments with Adaptive Controller using small-size, energy-efficient, fast-response actuation, Microtabs, and stability analysis. The experimental results reveal good performance of Adaptive Controller as well as confirming the usefulness of Microtabs as an effective tool for active flow control of a wind turbine blade. The stability of the designed controller is also proved by Adaptive Stability Theorem, which is also demonstrated via each wind velocity case.
{"title":"Adaptive Flow Control of Wind Turbine Blade Using Microtabs with Unsteady Aerodynamic Loads","authors":"Nailu Li, M. Balas","doi":"10.1109/GREENTECH.2013.28","DOIUrl":"https://doi.org/10.1109/GREENTECH.2013.28","url":null,"abstract":"A study of vibration suppression of a rotating wind turbine blade with unsteady aerodynamic loads and trailing-edge Microtabs was made. The focus is on the aeroelastic dynamics of the spinning blade with dynamic loads, the closed-loop experiments with Adaptive Controller using small-size, energy-efficient, fast-response actuation, Microtabs, and stability analysis. The experimental results reveal good performance of Adaptive Controller as well as confirming the usefulness of Microtabs as an effective tool for active flow control of a wind turbine blade. The stability of the designed controller is also proved by Adaptive Stability Theorem, which is also demonstrated via each wind velocity case.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087909","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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