The Influencing Factors of Energy Saving in Residential Buildings Based on Energy Consumption and Emission Reduction

DOI:

https://doi.org/10.21152/1750-9548.17.4.371

Abstract

The continuous growth of residential buildings has led to increasing attention on energy consumption and emission reduction. Taking an old residential building in Zhengzhou as an example, this article used Dest-h to simulate and calculate its energy-savings. A nine-factor, three-level orthogonal table was designed to analyze factors such as external wall heat transfer coefficient and building orientation, to understand the impact of different factors on energy savings. The results showed that among the 27 orthogonal experiments, the cooling consumption of experiment 23 was the lowest (21,236 kwh); the heating consumption of experiment 20 was the lowest (11,376 kwh); experiment 25 had the lowest total energy consumption (37,416 kwh). The comprehensive energy-saving rate was 36.12%, 43.29%, and 49.02%, respectively, in experiments 23, 20, and 25 as compared to the existing building. The annual energy-saving benefits were 6.57 yuan/m2, 7.87 yuan/m2, and 8.91 yuan/m2, respectively. Among the nine factors studied, the heat transfer coefficients of the external wall and window had the greatest impact on the energy savings of this building. The results prove the reliability of Dest-h in building energy conservation research, and it can be applied to practical research on energy consumption and emission reduction.

References

Bazazzadeh, H., A. Nadolny, and S. Safaei, Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings. European Journal of Sustainable Development, 2021. 10(2): p. 1-12. https://doi.org/10.14207/ejsd.2021.v10n2p1

Castillo, J.N., V.F. Resabala, L.O. Freire, and B.P. Corrales, Modeling and sensitivity analysis of the building energy consumption using the Monte Carlo method. Energy Reports, 2022. 8(16): p. 518-524. https://doi.org/10.1016/j.egyr.2022.10.198

Amasyali, K. and N.M. El-Gohary, A review of data-driven building energy consumption prediction studies. Renewable & Sustainable Energy Reviews, 2018. 81(pt.1): p. 1192-1205. https://doi.org/10.1016/j.rser.2017.04.095

Guo, Y.Y., Revisiting the building energy consumption in China: Insights from a large-scale national survey - ScienceDirect. Energy for Sustainable Development, 2022. 68: p. 76-93. https://doi.org/10.1016/j.esd.2022.03.005

Wenninger, S., C. Kaymakci, and C. Wiethe, Explainable long-term building energy consumption prediction using QLattice. Applied Energy, 2022. 308: p. 1-13. https://doi.org/10.1016/j.apenergy.2021.118300

Al, R., The Correlation between Floor Area and Design of Opening for Refurbishment Projects in Affecting Building Energy Consumption. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021. 12(3): p. 2969-2977. https://doi.org/10.17762/turcomat.v12i3.1328

Ermilova, M. and N. Gryzunova, Instruments for financing housing construction in the United States in the context of globalization. SHS Web of Conferences, 2021. 92(1): p. 1-10. https://doi.org/10.1051/shsconf/20219203008

Bevilacqua, P., The effectiveness of green roofs in reducing building energy consumptions across different climates. A summary of literature results. Renewable and Sustainable Energy Reviews, 2021. 151: p. 1-23. https://doi.org/10.1016/j.rser.2021.111523

Gounni, A., S. Ouhaibi, N. Belouaggadia, and M. El Alami, Impact of COVID-19 restrictions on building energy consumption using Phase Change Materials (PCM) and insulation: A case study in six climatic zones of Morocco. Journal of Energy Storage, 2022. 55: p. 1-12. https://doi.org/10.1016/j.est.2022.105374

Bazazzadeh, H., P. Pilechiha, A. Nadolny, M. Mahdavinejad, and S.S.H. Safaei, The Impact Assessment of Climate Change on Building Energy Consumption in Poland. Energies, 2021. 14(14): p. 4084. https://doi.org/10.3390/en14144084

Pujani, V., F. Akbar, and R. Nazir, Management Review of Energy Consumption: The Energy Saving Opportunity in University Buildings. ICIBE '19: Proceedings of the 5th International Conference on Industrial and Business Engineering, 2019: p. 110-116. https://doi.org/10.1145/3364335.3364390

Odineca, T., A. Borodinecs, A. Korjakins, and D. Zajecs, The Impacts of the Exterior Glazed Structures and Orientation on the Energy Consumption of the Building. IOP Conference Series: Earth and Environmental Science, 2019. 290: p. 012105. https://doi.org/10.1088/1755-1315/290/1/012105

Zhang, Z. and J. Ren, Analysis on the Influence of Building Envelope on Building Energy Efficiency in Severe Cold Area. The International Journal of Multiphysics, 2022. 16(1): p. 53-65. https://doi.org/10.21152/1750-9548.16.1.53

Sotehi, O., L. Maifi, H. Belili, and I. Djebaili, Nano technology building insulation effect on the thermal behavior of building under different Algerian weather. The International Journal of Multiphysics, 2022. 16(3): p. 273-286. https://doi.org/10.21152/1750-9548.16.3.273

Missoum, A., M. Elmir, M. Bouanini, and B. Draoui, Numerical simulation of heat transfer through the building facades of buildings located in the city of Bechar. The International Journal of Multiphysics, 2016. 10(4); pp. 441-450. https://doi.org/10.21152/1750-9548.10.4.441

Feng, R., Q. Gao, X. Guan, P. Du, H. Jiang, L. Zhang, and X. Wang, Analysis of Building Energy Saving Potential in High-speed Service Area Based on DeST Energy Consumption Simulation. IOP Conference Series: Earth and Environmental Science, 2021, 766(1): p. 1-6. https://doi.org/10.1088/1755-1315/766/1/012090

Song, J., X. Zhang, and X. Meng, Simulation and Analysis of a University Library Energy Consumption based on EQUEST. Procedia Engineering, 2015: p. 1382-1388. https://doi.org/10.1016/j.proeng.2015.09.028

Yu, N., C. Chen, K. Mahkamov, I. Makhkamova, Q. Li, and J. Ma, Selection and testing of phase change materials in the physical models of buildings for heating and curing of construction elements made of precast concrete. Solar Energy, 2021. 226(1-2): p. 309-318. https://doi.org/10.1016/j.solener.2021.08.036

Chen, B., Q. Liu, H. Chen, L. Wang, T. Deng, L. Zhang, and X. Wu, Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II. Journal of Cleaner Production, 2021. 294(5-6): p. 126153. https://doi.org/10.1016/j.jclepro.2021.126153

Sheng, Y., Z. Miao, J. Zhang, X. Lin, and H. Ma, Energy consumption model and energy benchmarks of Five-star hotels in China. Energy & Buildings, 2018. 165(apr.): p. 286-292. https://doi.org/10.1016/j.enbuild.2018.01.031

Overen, O. K., E. L. Meyer, and G. Makaka, Indoor Daylighting and Thermal Response of a Passive Solar Building to Selective Components of Solar Radiation. Buildings, 2021. 11(1): p. 1-18. https://doi.org/10.3390/buildings11010034

Helal, W., W. Zhang, X. Li, G. Wang, and Y. Su, Wear Analysis of a Low-Speed Diesel Engine Connecting Rod Based on Orthogonal Simulation Test. Journal of Physics: Conference Series, 2021. 2093(1): p. 1-5. https://doi.org/10.1088/1742-6596/2093/1/012014

Published

2023-12-02

How to Cite

The Influencing Factors of Energy Saving in Residential Buildings Based on Energy Consumption and Emission Reduction. (2023). The International Journal of Multiphysics, 17(4), 371-382. https://doi.org/10.21152/1750-9548.17.4.371

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Section

Articles