جستجوی مقالات مرتبط با کلیدواژه « سیستم ارزیابی پایداری » در نشریات گروه « محیط زیست »

Many communities, mainly in the developed world, use neighborhood sustainability assessment programs and systems to measure their success near proximity to sustainable development goals. The characteristics and success of these systems in covering the various dimensions of sustainability is an issue that should be considered by urban planners and designers. In this research, to recognize and identify the limitations and capabilities of the neighborhood sustainability assessment systems; four known systems in this field, namely LEED-ND, BREEAM-Communities, CASBEE-UD, and DGNB-NSQ, have been critically reviewed.

In this research, with a broad review of texts and a comparative study of four neighborhood sustainability assessment systems, using content analysis method to issues such as comparing structure and classification, the weight of topics and criteria, the amount of sustainability coverage and so on have been addressed. After comparing the general comparison of neighborhood sustainability assessment systems, a comparative framework based on four dimensions of urban sustainable development has been created in the form of 8 issues.

Despite observing the treelike structure in the systems, differences in the importance of the subjects and the degree of sustainability coverage are noticeable. Studies have shown that more than 68% of the evaluation criteria emphasize the environmental dimension and the two issues of land use-urban context-building layout with more than 20% and resources (energy, water, materials) with more than 13%, were recognized as important and influential subjects in the process of evaluating neighborhoods. However, the approach of systems has been different on other issues.

The results showed that the systems under study, despite providing useful operational methods to assess sustainability due to excessive focus on the environmental dimension and the same neglect of other dimensions of sustainability, have not been effective in assessing the sustainability of neighborhoods as a whole And they need more maturity.

Energy consumption in buildings accounts for one third of the country's annual energy consumption, so it is important to provide solutions that can reduce energy consumption in this sector.

Using questionnaires and experts’ opinions, effective parameters in energy optimization in Construction Engineering Organization of Bandar Abbas were identified. Variables such as wall and ceiling material, area and type of windows, wall and ceiling insulation thickness were selected. Different modes were investigated with Design Builder software. By training two separate neural networks, how the inputs are connected to two important outputs, which is the amount of energy and carbon dioxide, was obtained. And optimization was performed using the PSO algorithm.

In the obtained model, brick wall with insulation thickness of 5cm, beam roof with insulation thickness of 5cm, triple glazing, ratio of north and east windows to wall in the same direction 70%, ratio of south window to south wall between 41 to 43 percent and the ratio of the west window to the west wall is between 65 to 67 percent, in which the amount of energy and carbon dioxide is the minimum.

If the energy is selected as target function, the results obtained from the PSO are closely consistent with the optimization results for when the target function is the amount of carbon dioxide. These two functions are in line with each other, and optimizing one will lead to optimizing the other.