ASME 2020 Power Conference最新文献_第4页

Thermo-Economic Analysis on Waste Heat and Water Recovery Systems of Boiler Exhaust in Coal-Fired Power Plants 燃煤电厂锅炉排烟余热及水回收系统的热经济性分析

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16269

Kaixuan Yang, Ming Liu, Junjie Yan

{"title":"Thermo-Economic Analysis on Waste Heat and Water Recovery Systems of Boiler Exhaust in Coal-Fired Power Plants","authors":"Kaixuan Yang, Ming Liu, Junjie Yan","doi":"10.1115/power2020-16269","DOIUrl":"https://doi.org/10.1115/power2020-16269","url":null,"abstract":"\u0000 Waste heat and water recovery from boiler exhaust fluegas is significant for reducing coal and water consumption of coal-fired power plants. In this study, waste heat and water recovery system No.1 (WHWR1) and No.2 (WHWR2) were proposed with a 330MW air-cooling coal-fired power plant as the reference power plant. In these systems, boiler exhaust fluegas is cooled to 95 °C in fluegas coolers before being fed to the electrostatic precipitator. Moreover, a fluegas condenser is installed after the desulfurizer to recover water from fluegas. The recovered waste heat is used to heat the condensation water of the regenerative system, boiler feeding air and the fluegas after fluegas condenser. Then, thermodynamic and economic analyses were carried out. Heat exchangers’ areas of WHWRs are affected by heat loads and heat transfer temperature differences. For the unit area cost of heat exchangers is different, the cost of WHWRs may be decreased by optimizing multiple thermodynamic parameters of WHWR. Therefore, the optimization models based on Genetic Algorithm were developed to obtain the optimal system parameters with best economic performance. Results show that the change in coal consumption rate (Δb) is ∼ 4.8 g kW−1 h−1 in WHWR2 and ∼ 2.9 g kW−1 h−1 in WHWR1. About 15.3 kg s−1 of water can be saved and recovered when the fluegas moisture content is reduced to 8.5%. The investment of WHWR2 is higher than WHWR1, while the static recovery period of WHWR2 is shorter than that of WHWR1 for the additional Δb of pre air pre-heater.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649237","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}

引用次数: 0

Technical Evaluation and Applications of Heat Recovery From Simple Cycle Gas Turbine Exhaust Systems 简单循环燃气轮机排气系统热回收技术评价与应用

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16286

Bouria Faqihi, F. Ghaith

{"title":"Technical Evaluation and Applications of Heat Recovery From Simple Cycle Gas Turbine Exhaust Systems","authors":"Bouria Faqihi, F. Ghaith","doi":"10.1115/power2020-16286","DOIUrl":"https://doi.org/10.1115/power2020-16286","url":null,"abstract":"\u0000 In the Gulf Cooperation Council region, approximately 70% of the thermal power plants are in a simple cycle configuration while only 30% are in combined cycle. This high simple to combined cycle ratio makes it of a particular interest for original equipment manufacturers to offer exhaust heat recovery upgrades to enhance the thermal efficiency of simple cycle power plants. This paper aims to evaluate the potential of incorporating costly-effective new developed heat recovery methods, rather than the complex products which are commonly available in the market, with relevant high cost such as heat recovery steam generators.\u0000 In this work, the utilization of extracted heat was categorized into three implementation zones: use within the gas turbine flange-to-flange section, auxiliary systems and outside the gas turbine system in the power plant. A new methodology was established to enable qualitative and comparative analyses of the system performance of two heat extraction inventions according to the criteria of effectiveness, safety and risk and the pressure drop in the exhaust. Based on the conducted analyses, an integrated heat recovery system was proposed. The new system incorporates a circular duct heat exchanger to extract the heat from the exhaust stack and deliver the intermediary heat transfer fluid to a separate fuel gas exchanger. This system showed superiority in improving the thermodynamic cycle efficiency, while mitigating safety risks and avoiding undesired exhaust system pressure drop.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127926507","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}

引用次数: 1

A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin 基于集成经验模态分解和BO-LSTM神经网络的数字孪生模型混合风速预测方法

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16500

Weifei Hu, Yihan He, Zhen-yu Liu, Jianrong Tan, Minglong Yang, Jiancheng Chen

{"title":"A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin","authors":"Weifei Hu, Yihan He, Zhen-yu Liu, Jianrong Tan, Minglong Yang, Jiancheng Chen","doi":"10.1115/power2020-16500","DOIUrl":"https://doi.org/10.1115/power2020-16500","url":null,"abstract":"\u0000 Precise time series prediction serves as an important role in constructing a Digital Twin (DT). The various internal and external interferences result in highly non-linear and stochastic time series data sampled from real situations. Although artificial Neural Networks (ANNs) are often used to forecast time series for their strong self-learning and nonlinear fitting capabilities, it is a challenging and time-consuming task to obtain the optimal ANN architecture. This paper proposes a hybrid time series prediction model based on ensemble empirical mode decomposition (EEMD), long short-term memory (LSTM) neural networks, and Bayesian optimization (BO). To improve the predictability of stochastic and nonstationary time series, the EEMD method is implemented to decompose the original time series into several components, each of which is composed of single-frequency and stationary signal, and a residual signal. The decomposed signals are used to train the BO-LSTM neural networks, in which the hyper-parameters of the LSTM neural networks are fine-tuned by the BO algorithm. The following time series data are predicted by summating all the predictions of the decomposed signals based on the trained neural networks. To evaluate the performance of the proposed hybrid method (EEMD-BO-LSTM), this paper conducts a case study of wind speed time series prediction and has a comprehensive comparison between the proposed method and other approaches including the persistence model, ARIMA, LSTM neural networks, B0-LSTM neural networks, and EEMD-LSTM neural networks. Results show an improved prediction accuracy using the EEMD-BO-LSTM method by multiple accuracy metrics.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156032","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}

引用次数: 1

Analysis of Current Hybrid-Electric Automobile Drivetrains and Proposal of an Alternative Powertrain 当前混合动力汽车动力系统的分析及替代动力系统的提出

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16997

Andrew Ahn, T. Welles, B. Akih-Kumgeh

{"title":"Analysis of Current Hybrid-Electric Automobile Drivetrains and Proposal of an Alternative Powertrain","authors":"Andrew Ahn, T. Welles, B. Akih-Kumgeh","doi":"10.1115/power2020-16997","DOIUrl":"https://doi.org/10.1115/power2020-16997","url":null,"abstract":"\u0000 Byproducts of fossil fuel combustion contribute to negative changes in the global climate. Specifically, emissions from automobiles are a major source of greenhouse gas pollution. Efforts to minimize these harmful emissions have led to the development and sustained improvement of hybrid drivetrains in automobiles. Despite many advancements, however, hybrid systems still face substantial challenges which bear on their practicality, performance, and competitive disadvantage in view of the low cost of today’s traditional internal combustion engines. These imperfections notwithstanding, hybrid electric vehicles have the potential to play significant roles in the future as cleaner transportation solutions. Actualization of this potential will depend on the ability of hybrid-electric vehicles to minimize their disadvantages while increasing their positive features relative to traditional combustion engines. This research investigates current hybrid electric architectures in automobiles with the aim of suggesting an alternative, more efficient hybrid configuration that utilizes current technology. This is completed by utilizing an iterative design process to compare how various components of existing hybrids can be combined and/or improved to develop a single, efficient and cohesive system that performs comparably to or surpasses existing ones in fuel efficiency and low emissions in all driving conditions. A critical and comparative analysis is provided based on current hybrid-electric vehicle architectures as well as a plausible alternative.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131695109","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}

引用次数: 0

The Effect of Generator Gas Purity on Heat Rate 发电机气体纯度对热速率的影响

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16881

John Mcphearson

引用次数: 0

Study on Formation, Deposition and Fouling Prediction of Ammonium Bisulfate (ABS) at Air Preheater in Utility Boiler 硫酸氢铵(ABS)在锅炉空气预热器中的形成、沉积及污染预测研究

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16708

L. Pang, Q. Liang, Liqiang Duan

{"title":"Study on Formation, Deposition and Fouling Prediction of Ammonium Bisulfate (ABS) at Air Preheater in Utility Boiler","authors":"L. Pang, Q. Liang, Liqiang Duan","doi":"10.1115/power2020-16708","DOIUrl":"https://doi.org/10.1115/power2020-16708","url":null,"abstract":"\u0000 The ammonium bisulfate (ABS) widely exists at air preheater. The ABS may deposit and foul at the heating elements of air preheater because of the chemical reaction between SO3 at flue gas side and ammonia slip from SCR excess injection. The heat transfer equation between flue gas side and air side is constructed and simplified using physical and mathematical models accordingly. The finite difference method is applied to solve numerically by means of iterative computation. Based on the NH3 and SO3 concentration data from the real time data in the actual operation and the discrete calculation of the temperature field, the Radian number (Ra) is used to evaluate the possibility of ABS fouling and the developing trend of heating elements at the air preheater. A 1000MW ultra supercritical boiler is selected as example. The ABS deposit area is simulated under different working conditions 100%BMCR, 75% BMCR and 50% BMCR. The possible ABS deposition and fouling is analyzed for operators to evaluate the risk of cold-end and hot-end heating elements plate at air preheater. As the working load decreases lower than 50%BMCR, the deposition and fouling position could extend to the hot-end area of heating elements at air preheater.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131463962","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}

引用次数: 0

Theoretical Analysis of Solar Thermal Desalination Performance Limitation 太阳能热脱盐性能限制的理论分析

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16577

Yanjie Zheng, K. Hatzell, Rodrigo A. Caceres Gonzalez, M. Hatzell

{"title":"Theoretical Analysis of Solar Thermal Desalination Performance Limitation","authors":"Yanjie Zheng, K. Hatzell, Rodrigo A. Caceres Gonzalez, M. Hatzell","doi":"10.1115/power2020-16577","DOIUrl":"https://doi.org/10.1115/power2020-16577","url":null,"abstract":"\u0000 Solar thermal desalination systems utilize concentrated or non-concentrated sunlight to produce heat to drive a phase change separation process and produce freshwater. It could be an effective solution for increasingly scarce freshwater resources and energy shortages across the globe. In order to explore the performance limits and operating parameters that affect specific water production (SWP), this paper proposes a thermodynamic model of the ideal solar-driven thermal desalination process. The model compares two different heating configurations of solar collector system and considers surface temperature of solar collector, concentration ratio, recovery ratio and inlet saline water salinity to find maximum specific water production. The results show that under reversible condition, a flat plate collector with inlet saline water salinity of 35 g/kg will experience an increase in SWP from 29.9 gs−1m−2 to 52.7 gs−1m−2 if the recovery ratio decrease from 70% to 10%. For a system with concentration ratio of 10, when the surface temperature of solar collector is 507K, the maximum specific water production can reach 166.3 gs−1m−2 as the recovery ratio approaches zero. Reduction in incoming fluid salinity can further increase these performance limitations. The work fundamentally demonstrates the thermodynamic process of solar thermal desalination, and proposes a method to evaluate the performance limitation.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132597571","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}

引用次数: 0

Thermo-Economic Optimization on the Waste Heat Recovery System of SCO2 Coal-Fired Power Plants SCO2燃煤电厂余热回收系统的热经济优化

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16271

Ruiqiang Sun, Kaixuan Yang, Ming Liu, Junjie Yan

{"title":"Thermo-Economic Optimization on the Waste Heat Recovery System of SCO2 Coal-Fired Power Plants","authors":"Ruiqiang Sun, Kaixuan Yang, Ming Liu, Junjie Yan","doi":"10.1115/power2020-16271","DOIUrl":"https://doi.org/10.1115/power2020-16271","url":null,"abstract":"\u0000 The temperature of SCO2 fed to the boiler in SCO2 coal-fired power plants is relatively high, ∼500 °C. It leads to high boiler exhaust temperature, which is ∼120 °C according to previous studies. Waste heat recovery from low temperature fluegas in SCO2 coal-fired power plants is a key issue to be addressed to enhance power plant efficiency and electrostatic precipitator performance. Therefore, systems of waste heat recovery from low-temperature fluegas were proposed in this study. To evaluate the economic performances of the proposed systems and obtain the best system configurations, economic and thermodynamic models were developed. Moreover, multi-parameter optimization model based on Genetic Algorithm was developed. The waste heat recovery system is proposed and optimized by considering coupling and matching of the air preheating process, heat regenerative process and fluegas cooling process. With a 1000MW SCO2 coal-fired power plant as the reference case, thermodynamic and economic analyses were carried out. Results show that when the low temperature economizer is integrated together with the main compressor intercooling and flue bypass ahead the air-preheater, the temperature of exhaust fluegas can be decreased to ∼95 °C and the power plant efficiency can be enhanced by 1.39%-pts compared with basic system. Through the economic model analysis, the system levelized cost of electricity is 0.04158 $ kW−1 h−1.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133208210","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}

引用次数: 2

Chemical Kinetic Model Reduction and Analysis of Tetrahydrofuran Combustion Using Stochastic Species Elimination 四氢呋喃燃烧的化学动力学模型还原及随机物种消去分析

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16583

Mazen A. Eldeeb, Malshana Wadugurunnehalage

{"title":"Chemical Kinetic Model Reduction and Analysis of Tetrahydrofuran Combustion Using Stochastic Species Elimination","authors":"Mazen A. Eldeeb, Malshana Wadugurunnehalage","doi":"10.1115/power2020-16583","DOIUrl":"https://doi.org/10.1115/power2020-16583","url":null,"abstract":"\u0000 In this work, a chemical kinetic modeling study of the high-temperature ignition and laminar flame behavior of Tetrahydrofuran (THF), a promising second-generation transportation biofuel, is presented. Stochastic Species Elimination (SSE) model reduction approach (Eldeeb and Akih-Kumgeh, Proceedings of ASME Power Conference 2018) is implemented to develop multiple skeletal versions of a detailed chemical kinetic model of THF (Fenard et al., Combustion and Flame, 2018) based on ignition delay time simulations at various pressures and temperature ranges. The detailed THF model contains 467 species and 2390 reactions. The developed skeletal versions are combined into an overall reduced model of THF, consisting of 193 species and 1151 reactions. Ignition delay time simulations are performed using detailed and reduced models, with varying levels of agreement observed at most conditions. Sensitivity analysis is then performed to identify the most important reactions responsible for the observed performance of the reduced model. Reaction rate parameter modification is performed for such reactions in order to improve the agreement of detailed and reduced model predictions with literature experimental ignition data. The work contributes toward improved understanding and modeling of the oxidation kinetics of potential transportation biofuels, especially cyclic ethers.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516625","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}

引用次数: 0

HERON As a Tool for Light Water Reactor Market Interaction in a Deregulated Market HERON作为放松管制市场中轻水反应堆市场互动的工具

ASME 2020 Power Conference Pub Date : 2020-08-04 DOI: 10.1115/power2020-16916

P. Talbot, A. Gairola, Konor L Frick, C. Rabiti

{"title":"HERON As a Tool for Light Water Reactor Market Interaction in a Deregulated Market","authors":"P. Talbot, A. Gairola, Konor L Frick, C. Rabiti","doi":"10.1115/power2020-16916","DOIUrl":"https://doi.org/10.1115/power2020-16916","url":null,"abstract":"\u0000 This paper reports the development of HERON (Holistic Energy Resource Optimization Network), a newly-developed RAVEN (Risk Analysis Virtual ENvironment) plugin for grid and capacity optimization, to technoeconomic analysis in a deregulated market. A short description of the HERON plugin is provided, and the release process is described. HERON as a plugin enables RAVEN to perform stochastic technoeconomic analysis of grid-energy systems in a generic approach. The primary function of HERON is to generate the complex RAVEN workflows necessary to optimize component capacities under stochastic systems. HERON is capable of analyzing systems with complex components transferring a variety of commodities, including production components and varied markets. HERON is capable of optimizing high-resolution dispatch for such systems and guiding stochastic optimization algorithms in RAVEN for finding optimal component capacities. In particular, this document demonstrates the application of HERON to systems with deregulated markets. A system including a hyrdogen market, an electricity market, hydrogen storage, a hydrogen producer, and a nuclear power plant is considered. Stochastic histories for electricity prices at the electricity market are employed to perform stochastic analysis for ideal sizing of the hydrogen production facility and hydrogen storage unit. The impact of hydrogen market price and volatility of electricity price are also shown.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772260","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}

引用次数: 0