| تعداد نشریات | 127 |
| تعداد شمارهها | 7,195 |
| تعداد مقالات | 77,225 |
| تعداد مشاهده مقاله | 157,166,384 |
| تعداد دریافت فایل اصل مقاله | 118,378,172 |
بهینهسازی چند هدفه عایقکاری داخلی و خارجی دیوارهای ساختمانهای مسکونی در اقلیم سرد (شهر تبریز) | ||
| نشریه هنرهای زیبا: معماری و شهرسازی | ||
| دوره 31، شماره 1، خرداد 1405، صفحه 107-121 اصل مقاله (803.39 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jfaup.2026.405458.673137 | ||
| نویسندگان | ||
| زهرا رحمانی خرم1؛ آیدا ملکی* 2 | ||
| 1کارشناسی ارشد معماری و انرژی، گروه فناوری معماری، دانشگاه هنر اسلامی تبریز، تبریز، ایران. | ||
| 2دانشیار گروه فناوری معماری، دانشکده معماری و شهرسازی، دانشگاه هنر اسلامی تبریز، تبریز، ایران. | ||
| چکیده | ||
| در سالهای اخیر، مصرف بالای انرژی در ساختمانهای مسکونی ایران به یکی از چالشهای اساسی در بخش انرژی کشور تبدیل شده است. این پژوهش با هدف ارزیابی اثر نوع و موقعیت عایق حرارتی بر عملکرد انرژی ساختمانهای مسکونی در اقلیم سرد تبریز انجام شد. بدین منظور، پنج نوع مصالح عایق شامل پشم سنگ، پشم معدنی، الیاف چوب، پلیاستایرن و الیاف سیسال، در ترکیب با پنج نوع نمای متداول (آجر رسی، آجر نسوز، سیمان، سنگ تراورتن و سنگ گرانیت) مورد بررسی قرار گرفتند. شبیهسازیهای انرژی با استفاده از نرمافزار DesignBuilder و موتور EnergyPlus انجام شد و تأثیر عایقکاری بر شاخصهایی نظیر مصرف انرژی گرمایشی و سرمایشی، هزینه، انتشار کربن و نارضایتی حرارتی ساکنان ارزیابی گردید. تحلیلهای چندهدفه با استفاده از الگوریتم جبهه پارتو (Pareto Front) و روش تصمیمگیری چندمعیاره تاپسیس (TOPSIS) برای شناسایی سناریوی بهینه انجام گرفت. نتایج نشان داد که استفاده از عایق پلیاستایرن در موقعیت خارجی دیوار با نمای آجری، بهترین عملکرد حرارتی را داشته و منجر به کاهش حدود 8/6 درصدی مصرف انرژی گرمایشی، ۱۷ درصدی مصرف کل انرژی و بهبود ۱۸ درصدی آسایش حرارتی گردید. یافتهها نشان میدهند که انتخاب نوع و محل قرارگیری عایق، متناسب با اقلیم و مصالح بومی، میتواند نقش مؤثری در بهبود کارایی انرژی و کاهش اثرات زیستمحیطی ساختمانها ایفا کند. | ||
| کلیدواژهها | ||
| پوسته خارجی ساختمان؛ تبریز؛ عایق کاری حرارتی؛ مصرفانرژی | ||
| مراجع | ||
|
Allahyari, S., Khorram, Z. R., Ahmadi, M., Ahmadi, J., & Aram, F. (2025). Optimization of energy use and thermal comfort in underserved hot-dry climate schools using a machine learning framework. Energy Reports, 14, 4737–4749. https://doi.org/10.1016/j.egyr.2025.11.058 Aktemur, C., Çakır, M. T., & Çakır, M. F. (2024). Optimising of thermal insulation thickness based on wall orientations and solar radiation using heating-degree hour method. Case Studies in Thermal Engineering, 60, 104725. https://doi.org/10.1016/j.csite.2024.104725 Alyami, M. (2024). The impact of the composition and location of thermal insulation in the building envelope on energy consumption in low-rise residential buildings in hot climate regions. Arabian Journal for Science and Engineering, 49(4), 5305–5351. https://doi.org/10.1007/s13369-023-08366-8 Amani, N. (2024). Simulation-based design: Minimizing energy consumption in residential buildings through optimal thermal insulation. World Journal of Engineering. https://doi.org/10.1108/WJE-04-2024-0188 ASHRAE, A. S. of H. R. and A.-C. E. (2014). Guideline 14-2014: Measurement of Energy, Demand, and Water Savings. Atashbar, H., & Noorzai, E. (2023). Optimization of exterior wall cladding materials for residential buildings using the non-dominated sorting genetic algorithm II (NSGA-II) based on the integration of building information modeling (BIM) and life cycle assessment (LCA) for energy consumption: A case study. Sustainability, 15(21), 15647. https://doi.org/10.3390/su152115647 Bastos Porsani, G., & Fernández Bandera, C. (2023). A case study of empirical validation of EnergyPlus infiltration models based on different wind data. Buildings, 13(2). https://doi.org/10.3390/buildings13020511 Bazoovarz, A., Abdolkhani, S., Khaki, R., & Malayeri, A. (2023). Determination of optimum energy-economic insulation thickness for building walls in climate zones of Iran. International Journal of Smart Energy Technology and Environmental Engineering, 2(2). http://globalpublisher.org/journals-1007/www.globalpublisher.org Bagheri, S., Moradinasab, H., & Yeganeh, M. (2024). The effect of window proportions in low-rise residential buildings on annual energy consumption in humid temperate climate (case study: Rasht city in Iran). Frontiers in Energy Research, 12, 1463678. https://doi.org/10.3389/fenrg.2024.1463678 Bouchark, A. (2024). Comparative analysis of the effect of thermal insulation on the energy requirements of a tertiary building in Meknes. In Selected Papers from the 8th International Conference on Smart City Applications (pp. 149–159). https://doi.org/10.21741/9781644903117-16 Cabeza, L. F., Rincón, L., Vilariño, V., Pérez, G., & Castell, A. (2014). Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: A review. Renewable and Sustainable Energy Reviews, 29, 394–416. https://doi.org/10.1016/j.rser.2013.08.037 Chen, Z., Hammad, A., Kamardeen, I., & Akbarnezhad, A. (2020). Optimising embodied energy and thermal performance of thermal insulation in building envelopes via an automated building information modelling (BIM) tool. Buildings, 10(12), 218. https://doi.org/10.3390/buildings10120218 Dhaif, M., & Stephan, A. (2021). A life cycle cost analysis of structural insulated panels for residential buildings in a hot and arid climate. Buildings, 11(6), 255. https://doi.org/10.3390/buildings11060255 Dombayci, O. A., Ulu, E. Y., Guven, S., Atalay, O., & Ozturk, H. K. (2020). Determination of optimum insulation thickness for building external walls with different insulation materials using environmental impact assessment. Thermal Science, 24(1 Part A), 303–311. https://doi.org/10.2298/TSCI180903010D Fang, M., Fang, T., Chen, J., & Yu, Z. (2012). Impact analysis of the thickness of wall insulation on indoor comfort in hot summer and cold winter area. Applied Mechanics and Materials, 193–194, 1069–1074. https://doi.org/10.4028/AMM193-194.1069 Heydari, H., & Movaghari, A. (2025). The change in weather types in two population centers in northwestern Iran (Urmia and Tabriz) around Lake Urmia with the Woś classification approach. Journal of Water and Climate Change. https://doi.org/10.2166/wcc.2025.356 Kakhki, M., & Sepehri, A. (2011). Climate change trends during two periods in Hamedan and Tabriz. Semantic Scholar. https://api.semanticscholar.org/CorpusID:128719813 Kallioğlu, M. A., Ercan, U., Avcı, A. S., Fidan, C., & Karakaya, H. (2020). Empirical modeling between degree days and optimum insulation thickness for external wall. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 42(11), 1314–1334. https://doi.org/10.1080/15567036.2019.1651797 Kaynakli, O. (2012). A review of the economical and optimum thermal insulation thickness for building applications. Renewable and Sustainable Energy Reviews, 16(1), 415–425. https://doi.org/10.1016/j.rser.2011.08.006 Luo, X., Xu, D., Bing, Y., He, Y., & Chen, Q. (2024). Thermal performance and building energy simulation of precast insulation walls in two climate zones. Buildings, 14(9), 2612. https://doi.org/10.3390/buildings14092612 Madahi, A. M., & Abbasi, S. M. (2020). Thermal behavior analysis of the external shell of buildings constructed with traditional and modern materials and execution technologies for energy consumption optimization: Case study of residential buildings in Mashhad city. Armanshahr Architecture & Urban Development, 12(29). https://doi.org/10.22034/AAUD.2020.102374 Ministry of Roads and Urban Development. (2020). National Building Regulations of Iran: Part 19 – Energy Conservation (in Persian) Building and Housing Research Center. Muhieldeen, M. W., Chong Lye, L., & Adam, N. M. (2020). Analysis of Optimum Thickness of Glass Wool Roof Thermal Insulation Performance. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 76(3), 1–11. https://doi.org/10.37934/arfmts.76.3.111 Ouhaibi, S., Mrajji, O., El Wazna, M., Gounni, A., Belouaggadia, N., Ezzine, M., Lbibb, R., El Bouari, A., & Cherkaoui, O. (2022). Sisal-fibre based thermal insulation for use in buildings. Advances in Building Energy Research, 16(4), 489–513. https://doi.org/10.1080/17512549.2021.1982768 Özel, G., Açıkkalp, E., Görgün, B., Yamık, H., & Caner, N. (2015). Optimum insulation thickness determination using the environmental and life cycle cost analyses based entransy approach. Sustainable Energy Technologies and Assessments, 11, 87–91. https://doi.org/10.1016/j.seta.2015.06.004 Ryder, P. (2009). Flood forecasting and warning. Meteorological Applications, 16(1), 1–2. https://doi.org/10.1002/met.133 Serino, R., Hickey, B., & Dale, K. H. (2006). An insulation and finish system for use with associated substrate layers of a building. https://api.semanticscholar.org/CorpusID:132603683 Sharston, R., & Murray, S. (2020). The combined effects of thermal mass and insulation on energy performance in concrete office buildings. Advances in Building Energy Research, 14(3), 322–337. https://doi.org/10.1080/17512549.2018.1547220 Shukla, A., Agarwal, P., Rana, R. S., & Purohit, R. (2017). Applications of TOPSIS algorithm on various manufacturing processes: A review. Materials Today: Proceedings, 4(4), 5320–5329. https://doi.org/10.1016/j.matpr.2017.05.042 Ulutaş, A., Balo, F., & Topal, A. (2023). Identifying the most efficient natural fibre for common commercial building insulation materials with an integrated PSI, MEREC, LOPCOW and MCRAT model. Polymers, 15(6), 1500. https://doi.org/10.3390/polym15061500 Ustaoğlu, A., Kurtoğlu, K., & Yaraş, A. (2018). Evaluation of energy performance of PMS added polyurethane in building heat insulation. https://api.semanticscholar.org/CorpusID:139993061 Veit, M., Johra, H., Jensen, R. L., Rask, N., & Roesgaard, S. (2023). Numerical sensitivity analysis of the energy performance of building envelope with dynamic conditions. Journal of Physics: Conference Series, 2654(1), 012109. https://doi.org/10.1088/1742-6596/2654/1/012109 Wang, J. J., Jing, Y. Y., Zhang, C. F., & Zhao, J. H. (2009). Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, 13(9), 2263–2278. https://doi.org/10.1016/j.rser.2009.06.021 Zabalza Bribián, I., Aranda Usón, A., & Scarpellini, S. (2011). Life cycle assessment of building materials: A review and classification of available databases. Resources, Conservation and Recycling, 55(12), 1014–1023. Zhou, J., Jiang, J., Deng, L., Huang, J., Yuan, J., & Cao, X. (2021). Influence of bond coat on thermal shock resistance and thermal ablation resistance for polymer matrix composites. Frontiers in Materials, 8, 672617. https://doi.org/10.3389/fmats.2021.672617 | ||
|
آمار تعداد مشاهده مقاله: 135 تعداد دریافت فایل اصل مقاله: 43 |
||