Document Type : Original Article

Authors

Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran

Abstract

More than 40% of energy sources in the world are consumed in buildings; hence, greening all the activities in this sector, from design to operations and also retrofit, is challenging and necessary. This research aims to identify, evaluate and select various eco-friendly construction strategies and heating-cooling systems in the early stages of designing greenhouses. A decision support tool based on a two-phase framework is developed to make the corresponding decisions. As the first phase, an efficient bi-objective optimization model is formulated to optimize the envelope establishing a reasonable trade-off between construction costs and energy consumption. Accordingly, the heating and cooling loads are calculated considering all forms of heat exchange. In the second phase, the alternative heating-cooling systems are evaluated using an energy-cost criterion over a 10-year life cycle. The developed tool is implemented for a typical house in a desert region. As the results of the first phase, the total heat exchange of selected construction strategies for the house’s envelope is significantly less than the values of well-known standards, so the resulting energy consumption is only 0.22 times Iran’s standard. In the second phase, the required annual electricity of the house’s selected heating-cooling systems is approximately 21% lower than the reported values for the same place in that region.

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Main Subjects

Allouhi, A., El Fouih, Y., Kousksou, T., Jamil, A., Zeraouli, Y. and Mourad, Y. (2015). Energy consumption and efficiency in buildings: Current status and future trends. Journal of Cleaner Production, 109, 118-130.
Araújo, C., Almeida, M., Bragança, L. and Barbosa, J. A. (2016). Cost-benefit analysis method for building solutions. Applied Energy, 173, 124-133.
ASHRAE, (2017). 2017 ASHRAE Handbook -- Fundamentals (SI). Cdr edition, ASHRAE.
Carrier Air Conditioning Company, (1966). Handbook of Air Conditioning System Design. McGraw-Hill.
Chen, X., Yang, H. and Wang, T. (2017). Developing a robust assessment system for the passive design approach in the green building rating scheme of Hong Kong. Journal of Cleaner Production, 153, 176-194.
Concerted Action, E. P. B. D. (2016). Implementing the Energy Performance of Buildings Directive (EPBD)-Part A. ADENE: Lisbon, Portugal, 110.
Dan, D., Tanasa, C., Stoian, V., Brata, S., Stoian, D., Nagy Gyorgy, T. and Florut, S. C. (2016). Passive house design-An efficient solution for residential buildings in Romania. Energy for Sustainable Development. 32, 99-109.
Delgarm, N., Sajadi, B., Kowsary, F. and Delgarm, S. (2016). Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO). Applied Energy, 170, 293-303.
Diakaki, C., Grigoroudis, E., Kabelis, N., Kolokotsa, D., Kalaitzakis, K. and Stavrakakis, G. (2010). A multi-objective decision model for the improvement of energy efficiency in buildings. Energy, 35, 5483-5496.
Echenagucia, T. M., Capozzoli, A., Cascone, Y. and Sassone, M. (2015). The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis. Applied Energy, 154, 577-591.
Gugul, G. N., Koskal, M. A. and Ugursa, V. I. (2018). Techno-economical analysis of building envelope and renewable energy technology retrofits to single family homes. Energy for Sustainable Development, 45, 159-170
Hamdy, M., Hasan, A. and Siren, K. (2013). A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010. Energy & Buildings, 56, 189-203.
Ho, Y. F., Chang, C. C., Wei, C. C. and Wang, H. L. (2014). Multi-objective programming model for energy conservation and renewable energy structure of a low carbon campus. Energy & Buildings, 80, 461-468.
Holman, J. P. (1986). Heat Transfer. Sixth edition, New York: McGraw-Hill.
Hong, J., Zhang, X., Shen, Q., Zhang, W. and Feng, Y. (2017). A multi-regional based hybrid method for assessing life cycle energy use of buildings: A case study. Journal of Cleaner Production, 148, 760-772.
IECC, A. (2012). International energy conservation code 2012. C403, 2.
Incropera, F. P. and DeWitt, D. P. (2002). Fundamentals Of Heat and Mass Transfer. New York: John Wiley.
Karmellos, M., Kiprakis, A. and Mavrotas, G. (2015). A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies. Applied Energy, 139, 131-150.
Laustsen, J. (2008). Energy Efficiency Requirements in Building Codes: Energy Efficiency Policies for New Buildings. International Energy Agency, OECD/IEA Publications.
Lienhard IV, J. H. and Lienhard V, J. H. (2000). A Heat Transfer Textbook. Third edition, Cambridge: Phlogiston Press.
Pal, S. K., Takano, A., Alanne, K., Palonen, M. and Siren, K. (2017). A multi-objective life cycle approach for optimal building design: A case study in Finnish context. Journal of Cleaner Production, 143, 1021-1035.
Ren, H., Zhou, W., Nakagami, K., Gao, W. and Wuc, Q. (2010). Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects. Applied Energy, 87, 3642-3651.
Roaf, S., Fuentes, M. and Thomas, S. (2007). Ecohouse 3: A Design Guide. Oxford: Architectural Press.
Saki Pour, M., Kaabi Nejadian, A., Sekhavat Jou, M. S. and Jafary Mosavy, S. A. (2011). Potential of solar energy use and reducing greenhouse gases emissions in Ahvaz. Jundishapur Journal of Health Science, 3(4), 1-10.
Shen, L., He, B., Jiao, L., Song, X. and Zhang, X. (2015). Research on the development of main policy instruments for improving building energy-efficiency. Journal of Cleaner Production, 112(2), 1789-1803.
Spiegel, R. and Meadows, D. (2012). Green Building Materials: A Guide to Product Selection and Specification. 3rd ed, John Wiley & Sons.
Tan, B., Yavuz, Y., Otay, E. N. and Çamlıbel, E. (2016). Optimal selection of energy efficiency measures for energy sustainability of existing buildings. Computers & Operations Research, 66, 258-271.
Wang, W., Zmeureanu, R. and Rivard, H. (2005). Applying multi-objective genetic algorithms in green building design optimization. Building & Environment, 40, 1512-1525.
Wu, M. H., Ng, T. S. and Skitmore, M. R. (2016). Sustainable building envelope design by considering energy cost and occupant satisfaction, Energy for Sustainable Development, 31, 118-129.
Yang, M. D., Lin, M. D., Lin, Y. H. and Tsai, K. T. (2017). Multi objective optimization design of green building envelope material using a non-dominated sorting genetic algorithm. Applied Thermal Engineering, 111, 1255-1264.