Energy Recovery Equipment and Control Strategies in Various Climate Regions

Energy Recovery Equipment and Control Strategies in Various Climate Regions

Volume 5, Issue 4, Page No 47-53, 2020

Author’s Name: Rand Talib, Alexander Rodrigues, Nabil Nassifa)

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Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH 45221, USA.

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Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH 45221, USA.

a)Author to whom correspondence should be addressed. E-mail: nassifnl@ucmail.uc.edu

Adv. Sci. Technol. Eng. Syst. J. 5(4), 47-53 (2020); a  DOI: 10.25046/aj050407

Keywords: Building energy consumption, Energy recovery systems, Physics-based simulation, Bin method energy model, Climate zone design optimizations

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Different types of air-to-air energy recovery technologies such as coil loops, heat pipes, sensible wheels, and total energy wheels are frequently incorporated in HVAC systems in an attempt to reduce energy consumption. This study examines the impact of various types of energy recovery technologies and capacity control strategies on a building’s cooling, heating, and fan energy consumption across different climate zones, including Fargo, ND; Cincinnati, OH; Miami, FL; San Francisco, CA; and Phoenix, AZ. A self-developed analysis model simulates a typical HVAC system and compares data that will aid in evaluating different energy recovery equipment and control strategies to achieve maximum energy conservation. Conversely, the results of the study show that the improper operation and incorrect selection of energy recovery technologies could lead to increased energy consumption, further emphasizing the need for proper implementation of controls in energy recovery technologies.

Received: 27 March 2020, Accepted: 26 May 2020, Published Online: 06 July 2020

  1. U.S. Energy Information Administration, “How Much Energy is Consumed in U.S. Residential and Commercial Buildings?”, 3 May, 2018. Available: https://www.eia.gov/tools/faqs/faq.php?id=86&t=1
  2. U.S. Department of Energy, “Chapter 5: An Assessment of Energy Technologies and Research Opportunities”, September, 2015. Available: https://www.energy.gov/sites/prod/files/2017/03/f34/qtr-2015-chapter5.pdf
  3. International Well Building Institute, “The WELL Building Standard”, 20 October, 2014.
  4. American Society of Heating Refrigerating and Air-conditioning Engineers, Inc. (ASHRAE), Standard 62.1-2016, “Ventilation for acceptable Indoor Air Quality”, 2016.
  5. R. Talib, N. Nassif, M. Arida, & T. Abu-Lebdeh, “Chilled water VAV system optimization and modeling using artificial neural networks”, American Journal of Engineering and Applied Sciences, 11(4), 1188-1198, 2018. doi:10.3844/ajeassp.2018.1188.1198
  6. W. Wu, X. Li, T. You, & Ohio Library and Information Network, “Absorption heating technologies: Efficient heating, heat recovery and renewable energy”, Singapore: Springer, 2018. doi:10.1007/978-981-15-0470-9
  7. Dieckmann, John, Kurt W. Roth, and James Brodrick. “Air-to-air energy recovery heat exchangers.” ASHRAE Journal 45(8), 57, 2003.
  8. Sauer Jr, H. J., and R. H. Howell. “Promise and potential of air-to-air energy recovery systems.” International Journal of Refrigeration 4.4: 182-194. 1981.
  9. American Society of Heating Refrigerating and Air-conditioning Engineers, Inc. (ASHRAE), Standard 90.1-2016, Energy Standard for Buildings Except Low-Rise Residential Buildings, Atlanta, GA, USA, 2016.
  10. Nasr, Mohammad Rafati, et al. “A review of frosting in air-to-air energy exchangers.” Renewable and Sustainable Energy Reviews 30: 538-554, 2014.
  11. N.T. Madineedi, J.M. Harrell, & J.A. Mathias, “Redesigning the HVAC system of a university laboratory building”, ASHRAE Transactions, 123(2), 217, 2017.
  12. Besant, Robert W., and Carey J. Simonson. Air-to-air energy recovery. ASHRAE journal 42(5), 31-43, 2000.
  13. M. Kanaan, “CFD optimization of return air ratio and use of upper room UVGI in combined HVAC and heat recovery system”, AMSTERDAM: Elsevier Ltd, 2019. doi:10.1016/j.csite.2019.100535.
  14. Trane Engineers Newsletter Live – Ronnie Moffitt, Dennis Stanke, John Murphy, Jeanne Harshaw, Air-to-Air Energy Recovery, 10 August 2012.
  15. Freund, Sebastian, “Simulation of Air-to-Air Energy Recovery Systems for HVAC Energy Conservation in an Animal Housing Facility,” Master of Science thesis, Solar Energy Laboratory University of Wisconsin-Madison, 2003.
  16. eQuest. Quick Energy Simulation Tool, eQuest Version 3.65. Available: http://doe2.com/equest/
  17. M.N. Hydeman, P. Sreedharan, and S. Blanc, “Development and Testing of a Reformulated Regression-Based Electric Chiller Model, ASHRAE Transactions 105(2), 1118-27, 2012.
  18. National Climatic Data Center – National Oceanic and Atmospheric Administration: Cincinnati, Ohio; Fargo North Dakota; Miami, Florida; San Francisco, California; Phoenix, Arizona. Available: http://www.ncdc.noaa.gov
  19. Ashrae handbook, “Fundamentals by American Society of Heating, Refrigerating and Air-Conditioning Engineers”, 2013. eBook: Full Text Online, TH7011.A4222 2013eb
  20. N. Nassif, S. Kajl, and R. Sabourin, “Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm”, HVAC&R Research. 11(3), 459-486, 2005. DOI: 10.1080/10789669.2005.10391148
  21. W. Wu, H.M. Skye, H. M., & P.A. Domanski, “Selecting HVAC systems to achieve comfortable and cost-effective residential net-zero energy buildings. Applied Energy, 212, 577-591, 2018. doi:10.1016/j.apenergy.2017.12.046.
  22. Ali, M. Tauha – MathWorks MATLAB, SI Psychrometric Chart, 2015. Available: https://www.mathworks.com/matlabcentral/fileexchange/49154-si-psychrometric-chart
  23. X. Pei, “Application of exhaust heat recovery in energy saving of HVAC”, IOP Conference Series: Earth and Environmental Science, 295, 52009, 2019. doi:10.1088/1755-1315/295/5/052009

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