نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دوره دکتری معماری، دانشگاه آزاد اسلامی واحد نجف‌آباد، اصفهان، ایران
2 استادیار گروه معماری، دانشکده معماری و شهرسازی، دانشگاه بین‌المللی امام خمینی، قزوین، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Sustainable development of coastal tourism in the coral islands requires environmental considerations, cost reductions in energy supplies, and comfort for tourists. Regarding the fact that in the physical development of tourist beaches buildings are the prime energy consumer as well as waste, sewage and environmental pollutants producers, it is therefore necessary to provide appropriate policies aimed at correcting the pattern of consumption pattern and as well as reducing the pollution. In this research, by analyzing the ecosystem of the coral island of Honduran and considering its climatic and environmental parameters, an optimal model for designing residential and public buildings with the prime objective of reducing energy consumption and pollutants has been presented. The research methodology is based on bioclimatic and energy analysis as well as the relationship between building and the environment through field studies and simulation. By using the Design Builder software under the conditions of non-dynamic, the amount of energy needed is evaluated internally and externally. The results show that passive methods can reduce a significant portion of the required energy by interacting with the environment, hence reducing the energy consumption. Moreover, by using a combination of vertical and horizontal shades, creating ventilation shutters, continuously made porches, lightweight building material, homogeneous and polymer insulators, utilizing the atrium and rotation towards coastal wind would reduce the cost of generating energy by up to 75 Kwh/m2 yearly while reducing the cooling load significantly. We have also demonstrated that the implementation of the proposed strategies would indirectly lead to a reduction of greenhouse gas emissions of up to 126 tons per year for the simulated sample.
کلیدواژه‌ها [English]
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