Barriers to Adoption of Energy-Efficient HVAC Systems in Middle-Class Households in Pakistan

Authors

DOI:

https://doi.org/10.54536/ajee.v4i1.5433

Keywords:

Energy Systems, HVAC System, Middle Class Households, Buildings, Pakistan, Ventilated Dunkel Cycle

Abstract

Buildings and additional structures utilize a significant helping of the energy in the sphere. HVAC systems are mostly responsible for building energy use in middle class households in Pakistan. This study proposes a simulation-based optimization approach for efficiently measuring HVAC systems choices in the early design stages to get the optimal configuration in middle class households in Pakistan. This strategy is applied establishing HVAC systems in middle class households in Pakistan. The ventilated Dunkel cycle performs better than the other two designs for high COP systems in all three climate zones; nevertheless, ventilation is the superior choice in middle class households in Pakistan. Systematic simulations can help with the difficult process of optimizing HVAC systems designs in middle class households in Pakistan. This invention will assist HVAC systems design are selecting the optimal systems configuration and design parameters during the early design phase by accounting for various middle-class households in Pakistan.

Downloads

Download data is not yet available.

References

Beccali, M., Butera, F., Guanella, R. A. R. S., & Adhikari, R. S. (2003). Simplified models for the performance evaluation of desiccant wheel dehumidification. International Journal of Energy Research, 27(1), 17-29.

Bertagnolio, S., Masy, G., Lebrun, J., & André, P. (2008, July). Building and HVAC System simulation with the help of an engineering equation solver. In SimBuild Conference 2008 (Vol. 3, pp. 53-60). IBPSA-USA.

Buildings Performance Institute Europe (BPIE). (2011). Europe ‘s buildings under the microscope, a country-by-country review of the energy performance of buildings, 2011. Brussels.

Ellis, M. W., & Mathews, E. H. (2002). Needs and trends in building and HVAC system design tools. Building and environment, 37(5), 461-470.

Energy Information Administration (EIA). (2012). International Energy Outlook 2011. Washington.

Furlong, J. W., & Morrison, F. T. (2005). Optimization of water-cooled chiller-cooling tower combinations. CTI journal, 26(2), 14.

Galitsky, C. (2007). Cut energy use through HVAC improvements, California.

Haddad, K., Ouazia, B., & Barhoun, H. (2008, August). Simulation of a desiccant-evaporative cooling system for residential buildings. In Proceedings of the 3rd Canadian Solar Building Conference (pp. 1-8).

Huh, J. H., & Brandemuehl, M. J. (2008). Optimization of air-conditioning system operating strategies for hot and humid climates. Energy and Buildings, 40(7), 1202-1213.

Intentional Energy Agency (IEA). (2009). Electricity information. Paris.

Jin, G. Y., Cai, W. J., Lu, L., Lee, E. L., & Chiang, A. (2007). A simplified modeling of mechanical cooling tower for control and optimization of HVAC systems. Energy conversion and management, 48(2), 355-365.

Kusiak, A., & Xu, G. (2012). Modeling and optimization of HVAC systems using a dynamic neural network. Energy, 42(1), 241-250.

Kusiak, A., Li, M., & Tang, F. (2010). Modeling and optimization of HVAC energy consumption. Applied Energy, 87(10), 3092-3102.

Lu, L., Cai, W., Chai, Y. S., & Xie, L. (2005). Global optimization for overall HVAC systems––Part I problem formulation and analysis. Energy conversion and management, 46(7-8), 999-1014.

McQuiston, F. C., Parker, J. D., Spitler, J. D., & Taherian, H. (2000). Heating, ventilating, and air conditioning: analysis and design. John Wiley & Sons.

Nia, F. E., Van Paassen, D., & Saidi, M. H. (2006). Modeling and simulation of desiccant wheel for air conditioning. Energy and buildings, 38(10), 1230-1239.

Pérez-Lombard, L., Ortiz, J., & Pout, C. (2008). A review on buildings energy consumption information. Energy and buildings, 40(3), 394-398.

Trčka, M., & Hensen, J. L. (2010). Overview of HVAC system simulation. Automation in construction, 19(2), 93-99.

Wang, Y. W., Cai, W. J., Soh, Y. C., Li, S. J., Lu, L., & Xie, L. (2004). A simplified modeling of cooling coils for control and optimization of HVAC systems. Energy Conversion and Management, 45(18-19), 2915-2930.

Wu, Z., Melnik, R. V., & Borup, F. (2007). Model-based analysis and simulation of airflow control systems of ventilation units in building environments. Building and environment, 42(1), 203-217.

Zhang, Y. (2005). Synthesis of optimum HVAC system configurations by evolutionary algorithm (Doctoral dissertation, Loughborough University).

Zogou, O., & Stamatelos, A. (2007). Optimization of thermal performance of a building with ground source heat pump system. Energy conversion and management, 48(11), 2853-2863.

Downloads

Published

2025-08-25

How to Cite

Javed, M. A., Latif, U., & Sajjad, M. (2025). Barriers to Adoption of Energy-Efficient HVAC Systems in Middle-Class Households in Pakistan. American Journal of Environmental Economics, 4(1), 150–157. https://doi.org/10.54536/ajee.v4i1.5433