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ENERGY EFFICIENCY OF A RAILWAY CARRIAGE AIR CONDITIONING SYSTEM: PARAMETRIC ANALYSIS AND OPTIMIZATION THROUGH DoE TECHNIQUES

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NOVEMBER 2020   -  Volume: 95 -  Pages: 640-645

DOI:

https://doi.org/10.6036/9876

Authors:

JUAN CARLOS RAMOS GONZALEZ
- RAÚL ANTÓN REMIREZ - JORGE ARAMBURU - GORKA SANCHEZ LARRAONA - ALEJANDRO RIVAS NIETO - JORGE FERNANDEZ FERNANDEZ

Disciplines:

  • Mechanical Engineering and technology (EQUIPO DE REFRIGERACION )

Downloads:   257

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Received Date :   28 July 2020

Reviewing Date :   29 July 2020

Accepted Date :   28 September 2020


Key words:
eficiencia energética, sistema de climatización, análisis paramétrico, optimización, diseño de experimentos, volumen adimensional, potencia de refrigeración adimensional, energy efficiency, air conditioning system, parametric analysis, optimization, design of experiments, dimensionless volume, dimensionless refrigeration power.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

The air conditioning systems used in transport vehicles (railway passenger cars) are constrained by two issues: the consumed energy and the occupied space. In order to assess how both restrictions can be fulfilled a parametric analysis and an optimization have been carried out by means of Design of Experiments (DoE) techniques applied to a mathematical model of a real AC system. To evaluate the energy efficiency of the system four parameters have been used: the COP (Coefficient of Performance), the refrigeration power of the system and its dimensionless expression and the effectiveness of the evaporator. The occupied space of the AC system has been characterized through the dimensionless volume of the evaporator. The same compressor has been used in the analysis and the input parameters varied have been the dimensionless evaporator volume and four operating conditions: the evaporator inlet air temperature and mass flow rate, the condenser inlet air temperature and the air temperature increment in the condenser. Through a Central Composite Surface Response design, the regression equations of the four output energy efficiency parameters have been obtained in a wide range of operating conditions. Results show that the dimensionless refrigeration power is the best parameter because is independent of the operating conditions and only depends on the dimensionless volume of the evaporator: the lower the latter, the higher the former. An optimal dimensionless volume has been identified for the simultaneous optimization of the four output variables of the system that provides an increase of 26% in the dimensionless refrigeration power with respect to the baseline system.

Keywords: energy efficiency, air conditioning system, parametric analysis, optimization, design of experiments, dimensionless volume, dimensionless refrigeration power.

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