Net zero energy buildings in semi-arid climates: An analysis on 3 case studies in Tehran, Iran

Document Type: Research Paper

Authors

1 Department of Industrial & Systems Engineering, Rutgers University, Piscataway, NJ 08854, USA

2 School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada

3 School of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

This paper analyzes utilization of renewable energy systems and efficient building envelopes in the semi-arid climate. The proposed model evaluates renewable energy systems solutions as well as economic- and energy-efficient construction materials for the net zero-energy buildings (NZEB) in semi-arid climates. The objective of this paper is to optimize total energy cost and environmental impacts in NZEB. Three real case studies in Tehran, Iran, are used for this analysis. Different potential renewable energy systems, including PV panels, solar thermosiphon systems, geothermal heat pumps, and their combinations, are investigated in two residential buildings and a commercial building. Moreover, analyzing building envelopes using thermodynamic characteristics of building surfaces is done. The results show that the implementation of the proposed model in the buildings in semi-arid climates significantly reduces the negative environmental impacts for both residential and commercial buildings, and also increasing their energy efficiency up to 63% and 38%, respectively.

Keywords


[1] S.D. Nazemi, M. Boroushaki, Design, Analysis and Optimization of a Solar Dish/Stirling System, International Journal of Renewable Energy Development 5 (2016). doi:10.14710/ijred.5.1.33-42.
[2] I. Sartori, A. Napolitano, K. Voss, Net zero energy buildings: A consistent definition framework, Energy Build. 48 (2012) 220–232. doi:10.1016/j.enbuild.2012.01.032.
[3] R. Charron, A review of design process for low energy solar homes, Open House Int. (2008).
[4] P. Torcellini, D.B. Crawley, Understanding Zero-Energy Buildings, ASHRAE J. (2006).
[5] A. Ghofrani, S.D. Nazemi, M.A. Jafari, HVAC load synchronization in smart building communities, Sustainable Cities and Society 51 (2019). doi:10.1016/j.scs.2019.101741.
[6] A. Baniassadi, B. Sajadi, M. Amidpour, N. Noori, Economic optimization of PCM and insulation layer thickness in residential buildings, Sustain. Energy Technol. Assessments. 14 (2016) 92–99. doi:10.1016/j.seta.2016.01.008.
[7] A. Ghofrani, M.A. Jafari, Distributed air conditioning control in commercial buildings based on a physical-statistical approach, Energy Build. 148 (2017) 106–118. doi:10.1016/j.enbuild.2017.05.014.
[8] D.L. Loveday, K.C. Parsons, A.H. Taki, S.G. Hodder, Displacement ventilation environments with chilled ceilings: Thermal comfort design within the context of the BS EN ISO7730 versus adaptive debate, Energy Build. 34 (2002) 573–579. Doi: 10.1016/S0378-7788(02)00007-5.
[9] D. Ürge-Vorsatz, L.F. Cabeza, S. Serrano, C. Barreneche, K. Petrichenko, Heating and cooling energy trends and drivers in buildings, Renew. Sustain. Energy Rev. 41 (2015) 85–98. doi:10.1016/j.rser.2014.08.039.
[10] L. De Boeck, S. Verbeke, A. Audenaert, L. De Mesmaeker, Improving the energy performance of residential buildings: A literature review, Renew. Sustain. Energy Rev. 52 (2015) 960–975. doi:10.1016/j.rser.2015.07.037.
[11] B. Rezaie, E. Esmailzadeh, I. Dincer, Renewable energy options for buildings: Case studies, Energy Build. 43 (2011) 56–65. doi:10.1016/j.enbuild.2010.08.013.
[12] G. Hanna, Building Energy Code for New Residential Buildings in Egypt, 2011.
[13] D. Bansal, R. Singh, R.L. Sawhney, and Effect of construction materials on embodied energy and cost of buildings - A case study of residential houses in India up to 60 m2 of plinth area, Energy Build. 69 (2014) 260–266. doi:10.1016/j.enbuild.2013.11.006.
[14] P. Hanafizadeh, J. Eshraghi, E. Kosari, W.H. Ahmed, The effect of gas properties on bubble formation, growth, and detachment, Part. Sci. Technol. 33 (2015) 645–651. doi:10.1080/02726351.2015.1017033.
[15] M. Momen, M. Shirinbakhsh, A. Baniassadi, A. Behbahani-Nia, Application of Monte Carlo method in economic optimization of cogeneration systems - A case study of the CGAM system, Appl. Therm. Eng. 104 (2016) 34–41. doi:10.1016/j.applthermaleng.2016.04.149.
[16] S.D. Nazemi, K. Mahani, A. Ghofrani, B.E. Kose, M.A. Jafari, Techno-economic analysis and optimization of a microgrid considering demand-side management, Proceedings of 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019. http://arxiv.org/abs/1908.06352.