Pub Date : 1900-01-01DOI: 10.1109/CTPP.2016.7482925
M. Rahmati, S. Alavi, A. Sedaghat
Natural draft wet cooling towers are one of the most widely-used types of wet cooling towers in the large-scale power plants. In the present research, the experimental data are employed in order to investigate the heat transfer performance of natural draft counter flow wet cooling towers under cross-wind and windless conditions. In addition, influences of cross-wind velocity, inlet water temperature and water flow rate on the water temperature difference and cooling efficiency are found out. Furthermore, to have a more applicable study, regression analysis of the experimental data is utilized for the sake of developing general mathematical equations. Finally, two common parameters including root mean square error and correlation coefficient are considered to examine accuracy of the fit between experimental data and regression outputs.
{"title":"Thermal performance of natural draft wet cooling towers under cross-wind conditions based on experimental data and regression analysis","authors":"M. Rahmati, S. Alavi, A. Sedaghat","doi":"10.1109/CTPP.2016.7482925","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482925","url":null,"abstract":"Natural draft wet cooling towers are one of the most widely-used types of wet cooling towers in the large-scale power plants. In the present research, the experimental data are employed in order to investigate the heat transfer performance of natural draft counter flow wet cooling towers under cross-wind and windless conditions. In addition, influences of cross-wind velocity, inlet water temperature and water flow rate on the water temperature difference and cooling efficiency are found out. Furthermore, to have a more applicable study, regression analysis of the experimental data is utilized for the sake of developing general mathematical equations. Finally, two common parameters including root mean square error and correlation coefficient are considered to examine accuracy of the fit between experimental data and regression outputs.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133245799","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483061
Amin Hejazi, H. R. Mashhadi
Due to economic, environmental and technological changes, consumption of Natural Gas (NG) for electricity generation has burgeoned over the last two decades. This has led to strong interdependency between NG and electricity systems. Studies indicate a great reduction in total operating cost after considering NG transmission in power system operation. As Fuel consumption of compressor stations plays a major role in the NG transmission cost which constitutes of up to 75% of the overall expenses. In this paper a novel approach to integrated operation of two systems with consideration of 2nd-fuel is introduced. Static load flow equation of NG and electricity system is modeled as an optimization problem with focusing on compressor station roles. The aim is to Minimized total operating cost of both systems. Simulation result of Khorasan Province NG and electricity Network show success in power plant fuel management and great reduction in total cost of two systems especially in peak condition.
{"title":"Effects of Natural Gas network on optimal operation of gas-fired power plants","authors":"Amin Hejazi, H. R. Mashhadi","doi":"10.1109/CTPP.2016.7483061","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483061","url":null,"abstract":"Due to economic, environmental and technological changes, consumption of Natural Gas (NG) for electricity generation has burgeoned over the last two decades. This has led to strong interdependency between NG and electricity systems. Studies indicate a great reduction in total operating cost after considering NG transmission in power system operation. As Fuel consumption of compressor stations plays a major role in the NG transmission cost which constitutes of up to 75% of the overall expenses. In this paper a novel approach to integrated operation of two systems with consideration of 2nd-fuel is introduced. Static load flow equation of NG and electricity system is modeled as an optimization problem with focusing on compressor station roles. The aim is to Minimized total operating cost of both systems. Simulation result of Khorasan Province NG and electricity Network show success in power plant fuel management and great reduction in total cost of two systems especially in peak condition.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127834251","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482928
S. Javan, Asadollah Arab Haghighi, M. Biglari
Waste heat recovery using desalination system is one of the current techniques particularly in the power plants where located in coastal regions. This paper is mainly about analysis and optimization of a multi effect desalination (MED) system. An energy and exergy analysis is conducted and effect of different operating parameters such as number of return effect, number of effects, motive steam temperature, and motive steam pressure are studied. Two different criteria are under evaluation: Gain output ratio (GOR) and exergy efficiency. Finally, an optimization is performed and exergy analysis considered to be maximized.
{"title":"Exergy based optimization and performance assessment of a multi effect desalination system","authors":"S. Javan, Asadollah Arab Haghighi, M. Biglari","doi":"10.1109/CTPP.2016.7482928","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482928","url":null,"abstract":"Waste heat recovery using desalination system is one of the current techniques particularly in the power plants where located in coastal regions. This paper is mainly about analysis and optimization of a multi effect desalination (MED) system. An energy and exergy analysis is conducted and effect of different operating parameters such as number of return effect, number of effects, motive steam temperature, and motive steam pressure are studied. Two different criteria are under evaluation: Gain output ratio (GOR) and exergy efficiency. Finally, an optimization is performed and exergy analysis considered to be maximized.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134232230","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483053
Hesam Parvaneh, Sh. Moradinejad Dizgah, M. Sedighizadeh, Soheib Takht Ardeshir
In this paper, an optimum load frequency control (LFC) of a multi-area power system is developed based on a powerful optimization technique called seeker optimization algorithm (SOA). SOA capabilities for solving difficult practical optimization problems has proven and therefore it has gained a massive consideration by researchers. This paper presents a SOA-based load frequency controller for elimination of the power system oscillations. A two-area power system based on thermal power plants (TPPs) is considered, in which every area is equipped with PID controllers. SOA is used for meeting the optimum parameters of the PID controller, which are acquired by time domain minimization of the objective function. Performance of the proposed controller is compared with genetic algorithm (GA) based PID controller and particle swarm optimization (PSO) based PID controller to indicate the excellence of the proposed algorithm for PID parameters regulation. Simulation results has shown that optimized PID with proposed algorithm has better performance in comparison with previous methods.
{"title":"Load frequency control of a multi-area power system by optimum designing of frequency-based PID controller using seeker optimization algorithm","authors":"Hesam Parvaneh, Sh. Moradinejad Dizgah, M. Sedighizadeh, Soheib Takht Ardeshir","doi":"10.1109/CTPP.2016.7483053","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483053","url":null,"abstract":"In this paper, an optimum load frequency control (LFC) of a multi-area power system is developed based on a powerful optimization technique called seeker optimization algorithm (SOA). SOA capabilities for solving difficult practical optimization problems has proven and therefore it has gained a massive consideration by researchers. This paper presents a SOA-based load frequency controller for elimination of the power system oscillations. A two-area power system based on thermal power plants (TPPs) is considered, in which every area is equipped with PID controllers. SOA is used for meeting the optimum parameters of the PID controller, which are acquired by time domain minimization of the objective function. Performance of the proposed controller is compared with genetic algorithm (GA) based PID controller and particle swarm optimization (PSO) based PID controller to indicate the excellence of the proposed algorithm for PID parameters regulation. Simulation results has shown that optimized PID with proposed algorithm has better performance in comparison with previous methods.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763601","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483056
N. Nayebpashaee, H. Vafaeenezhad, S. H. Seyedein, M. Aboutalebi, S. Hadavi, H. Sarpoolaky
In this research, actual microstructures of the TBC taken by scanning electron microscope (SEM) were utilized as the representative volume elements (RVEs) in the computational model. Failure mode of the representative volume was simulated as thermal stress localization during thermal cycle. Computations were done to quantitatively assess the effects of thermal and mechanical properties of the TBC constituents as well as the presence of TGO on the macroscopic mechanical response of the TBC. Comparisons of computed results with experiments verified that, the computational method can successfully predict residual stress and crack initiation mode of the studied thermal barrier coatings.
{"title":"Micromechanical modeling of crack propagation in TBC systems","authors":"N. Nayebpashaee, H. Vafaeenezhad, S. H. Seyedein, M. Aboutalebi, S. Hadavi, H. Sarpoolaky","doi":"10.1109/CTPP.2016.7483056","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483056","url":null,"abstract":"In this research, actual microstructures of the TBC taken by scanning electron microscope (SEM) were utilized as the representative volume elements (RVEs) in the computational model. Failure mode of the representative volume was simulated as thermal stress localization during thermal cycle. Computations were done to quantitatively assess the effects of thermal and mechanical properties of the TBC constituents as well as the presence of TGO on the macroscopic mechanical response of the TBC. Comparisons of computed results with experiments verified that, the computational method can successfully predict residual stress and crack initiation mode of the studied thermal barrier coatings.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342598","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482930
Mehdi Samanazari, S. Rajabi, A. Ramezani, Ali Chaibakhsh
Nowadays, the increasing request to have more electric power and the growing complexity of advanced thermal power systems, make it ever more important to improve the performance and reliability of the systems. Hence, an attention is concentrated on fault diagnosis systems to compensate the adverse effects automatically, under conditions of noisy measurement. In order to improve the proficiency of process monitoring and increase accuracy of fault diagnosis (FD) for the once-through Benson type boiler, this article proposed a data driven method based on the configuration of six adaptive neuro fuzzy inference systems (ANFIS). In the proposed structure, due to strong interaction between measurements each ANFIS classifier has been developed to diagnose one particular fault. Finally to evaluate the effectiveness and performance of the proposed FD system against 6 major faults of once-through Benson type boiler under conditions of noisy measurement, different set of test scenarios have been performed.
{"title":"Fault diagnosis of an industrial once-through benson boiler by utilizing adaptive neuro-fuzzy inference system","authors":"Mehdi Samanazari, S. Rajabi, A. Ramezani, Ali Chaibakhsh","doi":"10.1109/CTPP.2016.7482930","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482930","url":null,"abstract":"Nowadays, the increasing request to have more electric power and the growing complexity of advanced thermal power systems, make it ever more important to improve the performance and reliability of the systems. Hence, an attention is concentrated on fault diagnosis systems to compensate the adverse effects automatically, under conditions of noisy measurement. In order to improve the proficiency of process monitoring and increase accuracy of fault diagnosis (FD) for the once-through Benson type boiler, this article proposed a data driven method based on the configuration of six adaptive neuro fuzzy inference systems (ANFIS). In the proposed structure, due to strong interaction between measurements each ANFIS classifier has been developed to diagnose one particular fault. Finally to evaluate the effectiveness and performance of the proposed FD system against 6 major faults of once-through Benson type boiler under conditions of noisy measurement, different set of test scenarios have been performed.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116242401","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483057
M. Heidarizadeh, M. Shivaie, M. Ahmadian, M. Ameli
In this paper, the authors propose a new method for optimal self-scheduling of cascaded hydro power plants in energy and reserve electricity markets. In the proposed methodology, risk-based self-scheduling is applied with regard to volume of reservoirs impresses on both energy price and probability of presence in spinning reserve electricity market, whiles energy price influences on only probability of presence in spinning reserve market. In order to model optimal self-scheduling of cascaded hydro power plants in the energy and reserve electricity markets, daily operation in hourly interval is taken into account. The proposed method is one of Mixed-Integer, Non-Linear Programming (MINLP) problem with non-convex nature. Since, to solve the proposed MINLP problem, GAMS platform has been utilized. The newly developed method has been applied to a cascaded system with three hydro power plants over a time horizon of 24-hours. The obtained results demonstrate the feasibility and profitableness of the newly developed method in the optimal self-scheduling of cascaded hydro power plants in electricity markets, when compared with other methods.
{"title":"A risk-based optimal self-scheduling of cascaded hydro power plants in joint energy and reserve electricity markets","authors":"M. Heidarizadeh, M. Shivaie, M. Ahmadian, M. Ameli","doi":"10.1109/CTPP.2016.7483057","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483057","url":null,"abstract":"In this paper, the authors propose a new method for optimal self-scheduling of cascaded hydro power plants in energy and reserve electricity markets. In the proposed methodology, risk-based self-scheduling is applied with regard to volume of reservoirs impresses on both energy price and probability of presence in spinning reserve electricity market, whiles energy price influences on only probability of presence in spinning reserve market. In order to model optimal self-scheduling of cascaded hydro power plants in the energy and reserve electricity markets, daily operation in hourly interval is taken into account. The proposed method is one of Mixed-Integer, Non-Linear Programming (MINLP) problem with non-convex nature. Since, to solve the proposed MINLP problem, GAMS platform has been utilized. The newly developed method has been applied to a cascaded system with three hydro power plants over a time horizon of 24-hours. The obtained results demonstrate the feasibility and profitableness of the newly developed method in the optimal self-scheduling of cascaded hydro power plants in electricity markets, when compared with other methods.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123033879","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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