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  • Volume 2018

    Reducing Energy Consumption of Light Rail Train by using CO2-Controlled Ventilation for Air Condition
    (International Journal of Engineering Works)

    Vol. 5, Issue 12, PP. 248-251, December 2018
    DOI
    Keywords: CO2, HAP, CAV, Air-Condition

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    Abstract

    This paper present reducing the energy consumption of light rail train by using co2-operated ventilation for air-conditioning. To achieve this precious goal, this paper proposes the use of co2-operated ventilation in order to reduce the energy used for air-conditioning purpose. The energy of co2-operated air-conditions and CAV (convention system) was simulated and analyzed by HAP software. The result of train simulation report has shown clearly that co2-operated air condition consume less energy and is cost energy effective  as compared to CAV( conventional system).

    Author

    1. Radwan Ahmed Bouh: Djibouti-Ethiopia Railway Company
    2. Kader Ali Ibrahim: Control Science and Engineering, School of Internet Things, Jiangnan University

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    Cite

    Radwan Ahmed Bouh and Kader Ali Ibrahim, "Reducing Energy Consumption of Light Rail Train by using CO2-Controlled Ventilation for Air Condition", International Journal of Engineering Works, Vol. 5 Issue 12 PP. 248-251 December 2018.

    References

    1. [1]     Guidance on U-Values from Domestic Heating Design Guide, Retrieved from www.heattrain.ltd.uk
    2. [2]     Panagiotis Gkortzas, “Study on optimal train movement for minimum energy consumption” The research paper of  Malardalen University of Sweden.
    3. [3]      Kitae Kim, M.ASCE; and M.ASCE, Steven I-Jy Chien (2011) “Optimal Train Operation for Minimum Energy Consumption Considering Track Alignment, Speed Limit, and Schedule Adherence” Journal of Transportation Engineering © ASCE / 665 American Society of Civil Engineers
    4. [4]     Farrington, R., Cuddy, M., Keyser, M., and Rugh, J., “Opportunities to Reduce Air-Conditioning Loads Through Lower Cabin Soak Temperatures,” Presented at the 16th Electric Vehicle Symposium, China, October 13-16, 1999.
    5. [5]     Johnson, V., “Fuel Used for Vehicle Air Conditioning: A State-by-State Thermal Comfort-Based Approach,” SAE Technical Paper 2002-01-1957, 2002, doi:10.4271/2002-01- 1957.
    6. [6]     CISBAT 2015 - September 9-11, 2015 - Lausanne, Switzerland
    7. [7]     ASHRAE 2003 HVAC Applications, Chapter 9 Surface Transportation
    8. [8]     Chan, G.Y., C.Y. Chao, D.C. Lee, S.W. Chan, and H. Lau. 1999. Development of a Demand Control Strategy in Buildings using Radon and Carbon Dioxide Levels. Proceedings of Indoor Air 99 1:48-53.
    9. [9]     Davidge, B. 1991. Demand Controlled Ventilation Systems in Office Buildings. Proceedings of the 12th AIVC Conference Air Movement & Ventilation Control within Buildings: 157-171. Coventry, Great Britain: Air Infiltration and Ventilation Centre.
    10. [10] Elovitz, D.M. 1995. Minimum Outside Air Control Methods for VAV Systems. ASHRAE[10]  Transactions 101 (2): 613-618.
    11. [11]  Emmerich, S.J., J.W. Mitchell, and W.A. Beckman. 1994. Demand-Controlled Ventilation in a Multi-Zone Office Building. Indoor Environment 3: 331-340.
    12. [12]  Emmerich, S.J. and A.K. Persily. 1997. Literature Review on CO2-Based Demand-Controlled Ventilation. ASHRAE Transactions 103 (2): 229-243
    13. [13]  Donnini, G., F. Haghighat, and V.H. Hguyen. 1991. Ventilation Control of Indoor Air Quality. Thermal Comfort, and Energy Conservation by CO2 Measurement. Proceedings of the 12th
    14. [14]  AIVC Conference Air Movement & Ventilation Control within Building: 311-331
    15. [15]  Gabel, S. D., J.E. Janssen, J. O. Christoffel, and S. E. Scarborough. 1986. Carbon Dioxide-Based Ventilation Control System Demonstration. U. S. Department of Energy, DE-AC79-84BP15102.
    16. [16]  Haghighat, F. and G. Donnini. 1992. IAQ and Energy-Management by Demand Controlled Ventilation. Environmental Technology. 13: 351-359.
    17. [17]  Knoespel P, J. Mitchell, and W. Beckman. 1991. Macroscopic Model of Indoor Air Quality and Automatic Control of Ventilation Airflow. ASHRAE Transactions 97 (2): 1020-1030