Heat transfer characteristics and energy-consumption benchmark state with varying operation boundaries for coal-fired power units: An exergy analytics approach

Wang, Ningling; Fu, Peng; Han, Xu; Wu, Dianfa; Yang, Zhiping; Yang, Yongping

doi:10.1016/j.applthermaleng.2014.12.020

Cited by 11 publications

(2 citation statements)

References 24 publications

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“…There exist multiple methods of establishing the benchmark of variables in order to assess the degradation of unit performance. In their study, Wang et al [5] utilized exergy-based methodologies to establish the benchmark state for energy consumption, taking into account different operational boundaries. Fan et al [6] employed sophisticated exergy-based methods to effectively identify the modules that exhibited performance Processes 2023, 11, 2845 2 of 12 degradation.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency State Identification for Cogeneration Units Based on Benchmark Value

Li,

Gu,

Wang

2023

Processes

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In China, cogeneration units predominantly employ a flexible operation mechanism. However, it is possible that this could lead to a decline in performance and an increase in energy consumption. This paper introduces a methodology that utilizes the data mining technique to ascertain the benchmark value section of the energy efficiency status index for cogeneration units. The equal interval division method is utilized for the purpose of categorizing the operating conditions. The Gaussian mixture model is utilized to ascertain the benchmark value section in relation to the fluctuating operating conditions by estimating the probability of historical data. The methodology is verified by utilizing historical data from a functioning cogeneration unit. The findings suggest that the unit’s total heat consumption can be decreased by 32.5–50 kJ·(kW·h)−1 when compared to the design-based approach.

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Section: Introductionmentioning

confidence: 99%

Energy Efficiency State Identification for Cogeneration Units Based on Benchmark Value

Li,

Gu,

Wang

2023

Processes

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“…N.L. Wang [3] proposed energy-consumption benchmark state concept under the varying operation conditions and determine it with data mining method, such as fuzzy rough set (FRS)-based decision table reduction and fuzzy C mean(FCM)-based clustering. P. Fu [4] further improved the energy-consumption benchmark state concept, he explained it in parameters, equipment and system levels using mechanism modelling method; H.J.…”

Section: Introductionmentioning

confidence: 99%

Method for Determining Energy-Consumption Benchmark State in the Thermal System of Coal-Fired Units Based on Hybrid Model

Zhu

Wang

et al. 2014

AMM

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Considering the varying operation conditions and ambient constraints, the in-depth energy conservation of thermal power units is confronting new challenges. Based on the already made ‘energy-consumption benchmark state’ concept, the description of energy-consumption benchmark state was obtained in this paper to describe the economic performance of coal-fired power thermal system with the varying operation boundary, operation conditions and equipment performance. Breaking the limitations of traditional modelling which always make statistic analysis and mechanism analysis isolate, hybrid modeling method synthesizing the merit of the mechanism analysis and statistical method was proposed. Considering the heat transfer characteristics of thermal system, this model make the energy-consumption of unit correspondence with parameter sets of thermal system. Optimized parameter sets were gained with the fuel specific consumption setting as the optimization objective, thus obtain the energy-consumption benchmark state in thermal system of coal-fired units. The results show that the method for determining energy-consumption benchmark state in the thermal system of coal-fired units based on hybrid model makes significant reference for the energy-saving diagnosis and operation optimization of thermal power units under overall working conditions.

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Benchmark value determination of energy efficiency indexes for coal-fired power units based on data mining methods

Chen

Cao

2020

Advanced Engineering Informatics

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Heat transfer characteristics and energy-consumption benchmark state with varying operation boundaries for coal-fired power units: An exergy analytics approach

Cited by 11 publications

References 24 publications

Energy Efficiency State Identification for Cogeneration Units Based on Benchmark Value

Energy Efficiency State Identification for Cogeneration Units Based on Benchmark Value

Method for Determining Energy-Consumption Benchmark State in the Thermal System of Coal-Fired Units Based on Hybrid Model

Benchmark value determination of energy efficiency indexes for coal-fired power units based on data mining methods

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