Pub Date : 2018-03-24DOI: 10.1109/ICGEA.2018.8356287
Kaushik Tirumala Lakshmi Narayanan, P. Vaijayanthi, K. A. Shreenivasan
Renewable energy sources are expected to play a significant role in resolving India’s increasing energy demand. With increasing concerns over climate change and the concepts of sustainability, the need for renewable energy sources that also promise higher incentives for customers become vital. This research work determines the profitability of residential on-grid solar systems in India by conducting a cost benefit analysis using Net present value (NPV) and Payback Period (PBP) as the primary indicators. The impacts of Maintenance costs, Net metering incentives (NMI) and Subsidies on NPV and PBP are studied later in this paper. Annual income generation using feed-in-tariffs (FiT’s) have also been discussed. Conclusions along with Policy recommendations for improving profitability thereby making on-grid residential solar energy more lucrative have been put up in the last sections of this research paper.
{"title":"Financial Viability of Residential On-grid Solar PV Systems in India","authors":"Kaushik Tirumala Lakshmi Narayanan, P. Vaijayanthi, K. A. Shreenivasan","doi":"10.1109/ICGEA.2018.8356287","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356287","url":null,"abstract":"Renewable energy sources are expected to play a significant role in resolving India’s increasing energy demand. With increasing concerns over climate change and the concepts of sustainability, the need for renewable energy sources that also promise higher incentives for customers become vital. This research work determines the profitability of residential on-grid solar systems in India by conducting a cost benefit analysis using Net present value (NPV) and Payback Period (PBP) as the primary indicators. The impacts of Maintenance costs, Net metering incentives (NMI) and Subsidies on NPV and PBP are studied later in this paper. Annual income generation using feed-in-tariffs (FiT’s) have also been discussed. Conclusions along with Policy recommendations for improving profitability thereby making on-grid residential solar energy more lucrative have been put up in the last sections of this research paper.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"25 1","pages":"93-97"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85096326","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356292
K. Sivalingam, M. Sepulveda, M. Spring, P. Davies
The growing number of Offshore wind farms demands highly reliable wind turbines to curtail the maintenance cost and to shorten the downtime. Power converter is one of the critical components that undergoes high rate of medium and short term thermal cycles especially in Offshore floating wind turbines compared to fixed bottom turbines. The current study proposes a novel methodology to predict the remaining useful life of an offshore wind turbine power converter in digital twin frame work as a means of predictive maintenance strategy. The remaining useful life is estimated for both diagnostic and prognostic health monitoring specific for offshore operating environment.
{"title":"A Review and Methodology Development for Remaining Useful Life Prediction of Offshore Fixed and Floating Wind turbine Power Converter with Digital Twin Technology Perspective","authors":"K. Sivalingam, M. Sepulveda, M. Spring, P. Davies","doi":"10.1109/ICGEA.2018.8356292","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356292","url":null,"abstract":"The growing number of Offshore wind farms demands highly reliable wind turbines to curtail the maintenance cost and to shorten the downtime. Power converter is one of the critical components that undergoes high rate of medium and short term thermal cycles especially in Offshore floating wind turbines compared to fixed bottom turbines. The current study proposes a novel methodology to predict the remaining useful life of an offshore wind turbine power converter in digital twin frame work as a means of predictive maintenance strategy. The remaining useful life is estimated for both diagnostic and prognostic health monitoring specific for offshore operating environment.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"9 1","pages":"197-204"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88908016","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356303
B. Gupta, Anil Kumar, R. Kushwaha, A. Shukla
Solar air heater (SAH) is an important device to convert solar energy into heat energy economically. This experimental work has been carried out to improve the thermal performance of solar air heater with hollow rectangular shaped (turbulators) placed on the absorber plate. Experimental results have been compared with the performance of conventional solar air heater without projecting bodies (turbulators). An improvement of 11.44% in thermal efficiency of SAH has been recorded with air mass flow rate of 0.012 kg/s. The maximum raise in air temperature was obtained 16.2°C with rectangular bodies as compared to 10.2°C without turbulators. Therefore, the improvement in the performance of modified solar air heater has been recorded. CFD simulation using ANSYS has also been carried out and validate with experimental results.
{"title":"Experimental and CFD Analysis of Solar Air Heater with Rectangular Shaped Hollow Bodies","authors":"B. Gupta, Anil Kumar, R. Kushwaha, A. Shukla","doi":"10.1109/ICGEA.2018.8356303","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356303","url":null,"abstract":"Solar air heater (SAH) is an important device to convert solar energy into heat energy economically. This experimental work has been carried out to improve the thermal performance of solar air heater with hollow rectangular shaped (turbulators) placed on the absorber plate. Experimental results have been compared with the performance of conventional solar air heater without projecting bodies (turbulators). An improvement of 11.44% in thermal efficiency of SAH has been recorded with air mass flow rate of 0.012 kg/s. The maximum raise in air temperature was obtained 16.2°C with rectangular bodies as compared to 10.2°C without turbulators. Therefore, the improvement in the performance of modified solar air heater has been recorded. CFD simulation using ANSYS has also been carried out and validate with experimental results.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"7 4","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72564239","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356302
Jiang Fan
An electric golf cart powered by deep cycle, rechargeable lead-acid battery bank is commonly used to carry the golfers and their golf clubs around a golf course at speed not higher than 25km/h. In operation, the cart batteries need to be charged regularly by the mains, which does not only waste energy but also results in short battery lifespan of 1.5 to 3 years. To prolong the lifetime of cart battery, conserve energy and mitigate CO2 emission, a golf cart can be equipped with solar PV system to harvest solar energy to drive the cart. This paper presents the on-site tests on a 2-seater solar golf cart powered by 420Wp solar PV system and running under tropic weather conditions. Analyses on the testing results show that a solar powered golf cart can not only improve the lifespan of cart battery but also conserve energy and reduce CO2 emission.
{"title":"Solar Powered Golf Cart: Testing and Performance Analyses","authors":"Jiang Fan","doi":"10.1109/ICGEA.2018.8356302","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356302","url":null,"abstract":"An electric golf cart powered by deep cycle, rechargeable lead-acid battery bank is commonly used to carry the golfers and their golf clubs around a golf course at speed not higher than 25km/h. In operation, the cart batteries need to be charged regularly by the mains, which does not only waste energy but also results in short battery lifespan of 1.5 to 3 years. To prolong the lifetime of cart battery, conserve energy and mitigate CO2 emission, a golf cart can be equipped with solar PV system to harvest solar energy to drive the cart. This paper presents the on-site tests on a 2-seater solar golf cart powered by 420Wp solar PV system and running under tropic weather conditions. Analyses on the testing results show that a solar powered golf cart can not only improve the lifespan of cart battery but also conserve energy and reduce CO2 emission.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"50 2 1","pages":"74-78"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90926382","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356274
Z. Ge, Qiang Liu, Zhen Yang, Jian Li, Y. Duan
Organic Rankine cycle (ORC) is a promising technology for medium and low temperature geothermal water power generation due to its simple structure, good applicability, and user-friendliness. The evaporator absorbs heat from heat source and facilitates the evaporation of working fluid, the performance of it has an important influence on ORC system. The working fluid mass velocity is the important parameter for evaporator, the increment of mass velocity can enhance heat transfer coefficient and decrease heat transfer temperature, but it also increases pressure drop and heat transfer area, the selection of working fluid mass velocity is important for ORC system. There has been few studies on the working fluid mass velocity for ORC evaporator. The thermodynamic and economic performance of geothermal water ORC system using R1234ze(E) are analyzed, the working fluid mass velocity influences of evaporator on geothermal water outlet temperature, net power output, thermal efficiency, exergy efficiency and electricity generation cost (EGC) are studied, the optimal mass velocities for maximizing net power output and minimizing EGC are obtained for 373.15–423.15 K geothermal water respectively. The results show increasing mass velocity can increase net power output and exergy efficiency, EGC initially decreases and then increases with increasing mass velocity; optimal mass velocities increase with increasing geothermal water inlet temperature; when geothermal water inlet temperature is 418.15K, the EGC of case 2 can decreases by 22.73% compared with case 1.
{"title":"Optimized Mass Velocity for Evaporator of Organic Rankine Cycle Using R1234ze(E) for 373.15–423.15 K Geothermal Water","authors":"Z. Ge, Qiang Liu, Zhen Yang, Jian Li, Y. Duan","doi":"10.1109/ICGEA.2018.8356274","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356274","url":null,"abstract":"Organic Rankine cycle (ORC) is a promising technology for medium and low temperature geothermal water power generation due to its simple structure, good applicability, and user-friendliness. The evaporator absorbs heat from heat source and facilitates the evaporation of working fluid, the performance of it has an important influence on ORC system. The working fluid mass velocity is the important parameter for evaporator, the increment of mass velocity can enhance heat transfer coefficient and decrease heat transfer temperature, but it also increases pressure drop and heat transfer area, the selection of working fluid mass velocity is important for ORC system. There has been few studies on the working fluid mass velocity for ORC evaporator. The thermodynamic and economic performance of geothermal water ORC system using R1234ze(E) are analyzed, the working fluid mass velocity influences of evaporator on geothermal water outlet temperature, net power output, thermal efficiency, exergy efficiency and electricity generation cost (EGC) are studied, the optimal mass velocities for maximizing net power output and minimizing EGC are obtained for 373.15–423.15 K geothermal water respectively. The results show increasing mass velocity can increase net power output and exergy efficiency, EGC initially decreases and then increases with increasing mass velocity; optimal mass velocities increase with increasing geothermal water inlet temperature; when geothermal water inlet temperature is 418.15K, the EGC of case 2 can decreases by 22.73% compared with case 1.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"26 1","pages":"28-35"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81278574","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356311
H. Lim, Weonjae Kim, Jinhong Jung
Increases in population coupled with urban development have resulted in the exacerbation of problems found in urban environments, such as the destruction of aquatic ecosystems, water pollution, air pollution, and global warming. In addition, the soundness of the water cycle has been threatened by artificial factors associated with changes in land coverage areas during urban development that result in increases of impermeable layers as well as natural factors associated with changes in the characteristics of rainfall due to abnormal climate; this has been accompanied by the formation of urban heat islands, shortages in the water supply, lowered groundwater levels, and damages from floods. To resolve this issue, it is necessary to develop technologies to build a water cycling system capable of improving the soundness of an urban water cycle based on the systematic use of information technology infrastructure and environmental sensor technologies. As a means of evaluating the soundness of urban water cycles, this study proposed an evaluation equation that can be used to evaluate the water cycle soundness levels of natural and artificial water cycles, undertook quantitative analyses to evaluate the degree to which water cycles have become affected by urbanization and industrialization, and proposed a methodology for ensuring the soundness of the water cycle following urban development.
{"title":"Integrated Water Cycle Management System for Smart Cities","authors":"H. Lim, Weonjae Kim, Jinhong Jung","doi":"10.1109/ICGEA.2018.8356311","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356311","url":null,"abstract":"Increases in population coupled with urban development have resulted in the exacerbation of problems found in urban environments, such as the destruction of aquatic ecosystems, water pollution, air pollution, and global warming. In addition, the soundness of the water cycle has been threatened by artificial factors associated with changes in land coverage areas during urban development that result in increases of impermeable layers as well as natural factors associated with changes in the characteristics of rainfall due to abnormal climate; this has been accompanied by the formation of urban heat islands, shortages in the water supply, lowered groundwater levels, and damages from floods. To resolve this issue, it is necessary to develop technologies to build a water cycling system capable of improving the soundness of an urban water cycle based on the systematic use of information technology infrastructure and environmental sensor technologies. As a means of evaluating the soundness of urban water cycles, this study proposed an evaluation equation that can be used to evaluate the water cycle soundness levels of natural and artificial water cycles, undertook quantitative analyses to evaluate the degree to which water cycles have become affected by urbanization and industrialization, and proposed a methodology for ensuring the soundness of the water cycle following urban development.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"120 1","pages":"55-58"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77438304","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356275
W. Wibowo, Yulita Dyah Retno Widhi Astuti, C. Hudaya
The electrification ratio in Indonesia has not yet achieved 100%, meaning there are still many areas without electricity access. As a key driven country development, electricity has a significant impact to the growth of telecommunication industries. In such situations, it is therefore difficult to guarantee the reliability of the telecommunication network, in particular, the electricity supply for the base transceiver station (BTS). To overcome this shortage, locally available renewable energy sources can be a solution as a power supply for a BTS. This study proposes the use of the integrated photovoltaic (PV) system as a power sources for BTS in the remote and isolated areas where the electricity from the grid is unavailable. The results show that the use of PV system is capable of supplying the electrical load requirement of BTS and is very feasible in financial analysis. The designed PV system output can produce 1.16 kW, while BTS load is 1.15 kW. We found that the integrated PV system is capable of handling BTS load. In economic perspective, the investment cost to deploy PV system is affordable due to the advantage of PV system, which is easy to maintain and operate.
{"title":"Solar-Powered Base Transceiver Station","authors":"W. Wibowo, Yulita Dyah Retno Widhi Astuti, C. Hudaya","doi":"10.1109/ICGEA.2018.8356275","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356275","url":null,"abstract":"The electrification ratio in Indonesia has not yet achieved 100%, meaning there are still many areas without electricity access. As a key driven country development, electricity has a significant impact to the growth of telecommunication industries. In such situations, it is therefore difficult to guarantee the reliability of the telecommunication network, in particular, the electricity supply for the base transceiver station (BTS). To overcome this shortage, locally available renewable energy sources can be a solution as a power supply for a BTS. This study proposes the use of the integrated photovoltaic (PV) system as a power sources for BTS in the remote and isolated areas where the electricity from the grid is unavailable. The results show that the use of PV system is capable of supplying the electrical load requirement of BTS and is very feasible in financial analysis. The designed PV system output can produce 1.16 kW, while BTS load is 1.15 kW. We found that the integrated PV system is capable of handling BTS load. In economic perspective, the investment cost to deploy PV system is affordable due to the advantage of PV system, which is easy to maintain and operate.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"12 1","pages":"108-112"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87932901","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 : 2018-03-24DOI: 10.1109/ICGEA.2018.8356321
Khalid Anwar, S. Deshmukh
Prediction and assessment of solar radiation is necessary prerequisite in the setting up and sizing of solar power applications. In this study, an artificial neural network (ANN) model was developed for prediction of solar energy potential in Andhra Pradesh (AP) and Telangana state (TS), India (lies between 12°41' and 22°N latitude and 77° and 84°40'E longitude). Standard multilayered, feed-forward, back-propagation neural networks with different architecture were designed using MATLAB. Geographical and meteorological data of 28 locations in AP & TS for period of recent 22 years from the NASA geo-satellite database were used for the training and testing the network. Geographical parameters (latitude, longitude and altitude), meteorological data (mean sunshine duration, mean temperature, mean wind speed, mean relative humidity and mean precipitation) and the month of the year were used as input data, while the monthly mean solar radiation was used as the output of the network. Statistical error analysis in terms of mean absolute percentage error (MAPE) was conducted for testing data to evaluate the performance of ANN model. The results show that the correlation coefficients between the ANN predictions and actual mean monthly global solar radiation intensities for training and testing datasets were higher than 95%, thus suggesting a high reliability of the model for evaluation of solar radiation in locations where solar radiation data are not available.
{"title":"Use of Artificial Neural Networks for Prediction of Solar Energy Potential in Southern States of India","authors":"Khalid Anwar, S. Deshmukh","doi":"10.1109/ICGEA.2018.8356321","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356321","url":null,"abstract":"Prediction and assessment of solar radiation is necessary prerequisite in the setting up and sizing of solar power applications. In this study, an artificial neural network (ANN) model was developed for prediction of solar energy potential in Andhra Pradesh (AP) and Telangana state (TS), India (lies between 12°41' and 22°N latitude and 77° and 84°40'E longitude). Standard multilayered, feed-forward, back-propagation neural networks with different architecture were designed using MATLAB. Geographical and meteorological data of 28 locations in AP & TS for period of recent 22 years from the NASA geo-satellite database were used for the training and testing the network. Geographical parameters (latitude, longitude and altitude), meteorological data (mean sunshine duration, mean temperature, mean wind speed, mean relative humidity and mean precipitation) and the month of the year were used as input data, while the monthly mean solar radiation was used as the output of the network. Statistical error analysis in terms of mean absolute percentage error (MAPE) was conducted for testing data to evaluate the performance of ANN model. The results show that the correlation coefficients between the ANN predictions and actual mean monthly global solar radiation intensities for training and testing datasets were higher than 95%, thus suggesting a high reliability of the model for evaluation of solar radiation in locations where solar radiation data are not available.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"29 1","pages":"63-68"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85714186","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 : 2018-03-01DOI: 10.1109/ICGEA.2018.8356276
T. H. Nazifa, Rashidul Islam, Salmiati, A. Uddin, T. Hadibarata, A. Aris
An efficient magnetized nanocomposite material adsorbent is made from agricultural waste like banana stem based activated carbon and combined with iron oxide nanoparticles. The composite adsorbents show excellent lubrication oil absorption capacity with rapid kinetics. Banana stem based activated carbon and composite materials is compared with commercial activated carbon and its magnetic composite to remove oil from aqueous environment. The banana stem based activated carbon was capable to adsorb oil up to 2.99 times of its weight and composite from commercial activated carbon could adsorb 5 times of its weight within 30 min and interestingly both composite could be removed from water body by applying external permanent magnet. The kinetic data were best fitted to the pseudo second order model and thermodynamic parameter was also estimated.
{"title":"Fast and Efficient Removal of Oil from Water Surface Through Activated Carbon and Iron Oxide-Magnetic Nanocomposite","authors":"T. H. Nazifa, Rashidul Islam, Salmiati, A. Uddin, T. Hadibarata, A. Aris","doi":"10.1109/ICGEA.2018.8356276","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356276","url":null,"abstract":"An efficient magnetized nanocomposite material adsorbent is made from agricultural waste like banana stem based activated carbon and combined with iron oxide nanoparticles. The composite adsorbents show excellent lubrication oil absorption capacity with rapid kinetics. Banana stem based activated carbon and composite materials is compared with commercial activated carbon and its magnetic composite to remove oil from aqueous environment. The banana stem based activated carbon was capable to adsorb oil up to 2.99 times of its weight and composite from commercial activated carbon could adsorb 5 times of its weight within 30 min and interestingly both composite could be removed from water body by applying external permanent magnet. The kinetic data were best fitted to the pseudo second order model and thermodynamic parameter was also estimated.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"12 1","pages":"263-267"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72780619","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 : 2018-03-01DOI: 10.1109/ICGEA.2018.8356284
K. Sivalingam, P. Davies, Abdulqadir Aziz Singapore Wala, S. Day
Offshore wind turbines are lucrative than land based turbines for its high and consistent wind speed. Since the floating wind turbines are economical than gravity based or fixed bottom type wind turbines, offshore wind industry is exploring all possible ways to adopt well established oil and gas floating platform technologies. Unlike fixed bottom wind turbines, floating platform is subjected to complex motions in all 6 degrees of freedom that introduces new challenges in predicting the aerodynamic forces on the rotor. The conventional approach to determine the aerodynamic forces is not applicable for offshore floating turbines that is subjected to hydrodynamic and all other forces. The current study is focused on computationally validating the scaled model of NREL 5MW wind turbine that is experimentally investigated for various frequencies of platform surge motions at University of Strathclyde. The thrust forces and rotor torque are computed by numerically simulation and compared with experimental outcome showing a good agreement in the trend. The minor deviation in the aerodynamic forces is attributed to the higher prediction of lift and drag forces by XFOIL.
{"title":"CFD Validation of Scaled Floating Offshore Wind Turbine Rotor","authors":"K. Sivalingam, P. Davies, Abdulqadir Aziz Singapore Wala, S. Day","doi":"10.1109/ICGEA.2018.8356284","DOIUrl":"https://doi.org/10.1109/ICGEA.2018.8356284","url":null,"abstract":"Offshore wind turbines are lucrative than land based turbines for its high and consistent wind speed. Since the floating wind turbines are economical than gravity based or fixed bottom type wind turbines, offshore wind industry is exploring all possible ways to adopt well established oil and gas floating platform technologies. Unlike fixed bottom wind turbines, floating platform is subjected to complex motions in all 6 degrees of freedom that introduces new challenges in predicting the aerodynamic forces on the rotor. The conventional approach to determine the aerodynamic forces is not applicable for offshore floating turbines that is subjected to hydrodynamic and all other forces. The current study is focused on computationally validating the scaled model of NREL 5MW wind turbine that is experimentally investigated for various frequencies of platform surge motions at University of Strathclyde. The thrust forces and rotor torque are computed by numerically simulation and compared with experimental outcome showing a good agreement in the trend. The minor deviation in the aerodynamic forces is attributed to the higher prediction of lift and drag forces by XFOIL.","PeriodicalId":6536,"journal":{"name":"2018 2nd International Conference on Green Energy and Applications (ICGEA)","volume":"130 1","pages":"176-182"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91530347","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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