Research on Controlling Dewatering Ratio Based on Fuzzy PID in Sludge Process

Luo, Fei; Liu, Shuang; Liao, Weihao

doi:10.12783/dtcse/icmsie2017/18657

Cited by 1 publication

(1 citation statement)

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“…When moisture reduction is carried out by drying mechanical or thermal drives, the CCS improves. This decision depends on the demand for power and the correlation between the possible energy gains and the necessary investment, in addition to the fact that, in sludge production, one must verify the financial economy in the disposition of this matter, as all these aspects follow the objectives of the world climate [83].…”

Section: Combustionmentioning

confidence: 99%

A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation

Buratto,

Muniz,

Nied

et al. 2024

Sensors

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This review delves into the critical role of automation and sensor technologies in optimizing parameters for thermal treatments within electrical power generation. The demand for efficient and sustainable power generation has led to a significant reliance on thermal treatments in power plants. However, ensuring precise control over these treatments remains challenging, necessitating the integration of advanced automation and sensor systems. This paper evaluates the pivotal aspects of automation, emphasizing its capacity to streamline operations, enhance safety, and optimize energy efficiency in thermal treatment processes. Additionally, it highlights the indispensable role of sensors in monitoring and regulating crucial parameters, such as temperature, pressure, and flow rates. These sensors enable real-time data acquisition, facilitating immediate adjustments to maintain optimal operating conditions and prevent system failures. It explores the recent technological advancements, including machine learning algorithms and IoT integration, which have revolutionized automation and sensor capabilities in thermal treatment control. Incorporating these innovations has significantly improved the precision and adaptability of control systems, resulting in heightened performance and reduced environmental impact. This review underscores the imperative nature of automation and sensor technologies in thermal treatments for electrical power generation, emphasizing their pivotal role in enhancing operational efficiency, ensuring reliability, and advancing sustainability in power generation processes.

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Section: Combustionmentioning

confidence: 99%