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A Modeling Study to Determine the Effectiveness of an Energy Recovery Ventilator (ERV)

A Modeling Study to Determine the Effectiveness of an Energy Recovery Ventilator (ERV). R. Pastor 1 , E. Gutierrez-Miravete 2 and N. Lemcoff 2 1 General Dynamics Electric Boat 2 Rensselaer Polytechnic Institute Hartford. Background. Energy Recovery Ventilator

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A Modeling Study to Determine the Effectiveness of an Energy Recovery Ventilator (ERV)

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  1. A Modeling Study to Determine the Effectiveness of an Energy Recovery Ventilator (ERV) R. Pastor1, E. Gutierrez-Miravete2 and N. Lemcoff2 1General Dynamics Electric Boat 2Rensselaer Polytechnic Institute Hartford

  2. Background • Energy Recovery Ventilator • A heat exchanger used in HVAC applications that allows heat and mass transfer between two airstreams separated by a membrane • Utilizes conditioned air to: • Heat or cool outside air • Humidify or dehumidify outside air

  3. Objective • To numerically evaluate the effectiveness of an energy recovery ventilator during the summer and winter seasons with both countercurrent and concurrent flow

  4. Governing Equations - Multiphysics • Fluid Equation • Momentum transport • Continuity • Heat Transfer • Mass Transfer

  5. Sensible and Latent Effectiveness

  6. Finite Element Model Inputs • Outside Air Properties (Summer and Winter Seasons) • Building Air Properties (Summer and Winter Seasons)

  7. Finite Element Model (2D) • Mesh • ERV Basic Dimensions • Membrane Properties

  8. Results - ERV Effectiveness • Sensible and Latent Effectiveness with Equal Velocities in both Channels (Summer Conditions)

  9. Results – ERV Temperature Profiles • Across the channel at several axial locations (Summer Conditions) Outside Air Outside Air Building Air Building Air

  10. Results – Velocity & Concentration Fields • Midsection of the channel (Summer Conditions)

  11. Results – ERV Effectiveness • Sensible and Latent Effectiveness with Equal Velocities in both Channels (Winter Conditions)

  12. Results – Temperature Profiles • Across the channel at the axial midpoint (x = 0.125 m) and at a speed of 1.25 m/s (Winter Conditions)

  13. Conclusions • Countercurrent flow ERV is more effective than concurrent flow • The performance of a countercurrent flow ERV has the potential to improve as the size increases. • The effectiveness of the ERV increases as the flow through the channel decreases, and an optimum size/velocity can be determined • 3D modeling of the crossflow ERV must be explored

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