Performance optimization of generator in steam turbine power plants using computational intelligence techniques

Kumar, Ashish; Sinwar, Deepak; Kumar, Naveen; Saini, Monika

doi:10.1007/s10665-024-10342-6

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Kushwaha D K, Panchal D and Sachdeva A (12) reviewed the analysis of power generation in a sugar mill by the steam turbine and the reasons for its failure. Kumar A, Sinwar D, Kumar N, and Saini M (13) studied the generator of a steam turbine power plant and investigated the availability, profit, and decision variables of the generator. Maan V S, Kumar A, Saini M, and Saini D K (14) developed a mathematical model for renewable energy sources like hydroelectric power plant (HPP) using Adaptive Neuro Fuzzy Inference System (ANFIS).…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Feeding System in Sugar Mill with Consideration of Bagasse Jamming

Kumari,

Bhatia

2024

IJST

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Objectives: The sugar industry comprises various units, including feeding, crushing, evaporation, refining, and crystallization. The feeding system is the most crucial aspect of the sugar mill as the sugar-making process starts from here. So faults which occur here are divided into four categories minor, major, cease faults and walkout faults. This paper sets out to showcase a comprehensive analysis of the system's performance, availability, and profit. The study takes into account how minor, major, and cease faults can potentially impact the system's overall effectiveness. The findings of this research hold significant importance for sugar mills that prioritize optimal performance and profit. Methods: Primary data regarding various failures is collected from Ch. Devilal Co-Operative Sugar Mills Limited, Ahulana, Gohana. To find MTSF, Reliability, Availability, Profit etc., a mathematical model has been created. This model is based on the Semi-Markov process and Regenerative Point Technique and equations are drawn using exponential distribution and solved with Cremer’s rule and Laplace - Stieltjes transformation. Findings: A fault, Bagasse Jamming is considered a cease fault which occurs very frequently in the feeding system. Therefore, it is found that cease faults and major faults have more adverse impacts on the system's performance and availability than minor faults. MTSF, Availability and Profit are inversely proportional to these faults. When a major fault is 0.0035 and the cease fault is 0.0042, MTSF is nearly 100. So, to gain more profit we have to pay more attention to these faults. Novelty: The paper's results will aid in fault removal, increase availability, and optimize maintenance tactics in the sugar industry. Keywords: MTSF, Performance Analysis, Availability, Reliability, Minor, Major, Cease Faults

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Feeding System in Sugar Mill with Consideration of Bagasse Jamming

Kumari,

Bhatia

2024

IJST

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Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training

Li,

Xiao,

Wang

et al. 2024

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The steam turbine and its digital electro-hydraulic (DEH) control system constitute vital elements within thermal power generation. However, the complexity of the on-site environment and the high production costs of the equipment hinder users, especially novices, from fully understanding and mastering the operation mechanisms and production processes. In the realm of emerging technologies, the digital twin stands out as a powerful tool for enhancing industrial training and learning for students and operators in this field. This paper details the design and implementation of a web-based digital twin steam turbine system. Initially, a pioneering web-based digital twin architecture is proposed, featuring high-fidelity equipment modeling, web-based immersive 3D displays, algorithm design and networked implementation, and data-driven model synchronization. Subsequently, the functionalities and benefits of the digital twin system in facilitating industrial training are explained, covering aspects such as steam turbine cognitive learning, DEH system simulation learning, and condition monitoring. Finally, a case study in a real thermal power plant is presented to demonstrate the practicability and effectiveness of this web-based digital twin system. This research endeavors to contribute valuable insights and potential solutions to the growing field of web-based digital twin applications in industry.

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Performance optimization of generator in steam turbine power plants using computational intelligence techniques

Cited by 2 publications

References 22 publications

Performance Analysis of Feeding System in Sugar Mill with Consideration of Bagasse Jamming

Performance Analysis of Feeding System in Sugar Mill with Consideration of Bagasse Jamming

Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training

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