BS2025 / Program / Applicability analysis of compressors in subway stations based on load characteristics

Applicability analysis of compressors in subway stations based on load characteristics

Location
Room 3
Time
August 27, 2:45 pm-3:00 pm

With the rapid expansion of urban subway networks, the imperative for effective energy management and optimization at subway stations has become increasingly prominent. The distinct cooling load characteristics of underground stations necessitate specialized air conditioning solutions, making the selection of compressors critical. This study aims to analyze the load characteristics of subway stations and evaluate the suitability of various compressor types based on these characteristics, thereby providing a scientific foundation for energy optimization and equipment selection at subway stations.

This research initiates with a comprehensive examination of the specific load characteristics prevalent in subway stations, taking into account factors such as passenger flow, train deparature density, piston effect and so on. The objective is to delineate the unique load characteristic of subway environments. Subsequently, the study conducts comparative analyses of commonly utilized compressors, including scroll, screw, and centrifugal types. These analyses will assess the compressors’ performance in actual subway station settings, focusing on metrics such as energy efficiency, reliability, and adaptability to actual environmental conditions.

The methodology combines empirical evaluations and simulation models to assess subway station load characteristics and measure the performance of different compressors under simulated conditions. This approach provides a thorough understanding of each compressor type’s operational effectiveness.

Preliminary findings suggest that certain compressors perform better, offering greater efficiency and stability under subway stations’ unique load conditions. These results will inform compressor selection in both design and operational phases, leading to substantial energy and operational improvements. Additionally, the findings are expected to serve as a reference for other public facilities with similar load characteristics, such as airport terminals and major rail hubs, offering significant practical value and broad potential for application.

Ultimately, this study provides a rigorous scientific framework for selecting optimal compressors in subway stations, enhancing energy efficiency and supporting sustainable urban transit development.

Presenters

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