Showing 3 results for Thermal Performance
M. Farhadian, S. Razzaghi Asl, H. Ghamari,
Volume 29, Issue 2 (12-2019)
Abstract
The green hydroponics walls are among new kinds of building facades, which receive more attention from architects lately. In addition to the positive effect these walls have in maintaining humidity in arid regions, they also have positive thermal performance in both cold and hot weather conditions. Therefore, they are in the center of designers’ focus for public spaces such as schools. In terms of soil-free cultures, these walls are of three general types: wide, horizontal, and vertical. The use of different types of green walls in each zone allows for different thermal performance. This paper aims to investigate the thermal performance of hydroponic green walls in different facades of green school in term of thermal performance. Moreover, the present study only addresses green schools in cold climates. We conducted a simulation by using Energy Plus software with three different types of hydroponic green walls in Shahrekord city of Iran, which were monitored in 20 years" from2000 until2019".The thermal performance of each type was analyzed and compared with other samples. Finally, the best kind of green- hydroponics wall with the best thermal performance was identified for each wall.
Ali Izadi, Shahram Minooee Sabery, Forough Farazjou, Haniyeh Sanaieian,
Volume 33, Issue 3 (8-2023)
Abstract
In recent years, increasing attention has been given to improving the energy efficiency of buildings in order to reduce their environmental impact and operational costs. As a result, multi-objective optimization methods have become an important tool for optimizing building energy performance. This research reviews building performance analysis approaches in a comparative method and results in a systematic overview of the existing multi-objective optimization methods used in the field of building energy performance. This review covers a wide range of optimization techniques, including genetic algorithms (NSGA-II), evolutionary algorithms, particle swarm intelligence algorithms, and other metaheuristic approaches. Furthermore, the review provides a comprehensive analysis of the strengths and weaknesses of each method in different fields such as daylight, ventilation, and thermal performance analysis. In order to achieve the aims of the research alongside reviewing the Scopus scientific database, various relevant studies were investigated. Eventually, this study provides. Eventually, this review identifies gaps in the literature potential in research directions and proposes multiple ways for future research.
Ashkan Khatibi, Pari Alavi,
Volume 34, Issue 1 (1-2024)
Abstract
In contemporary contexts, optimizing energy consumption and ensuring thermal comfort for occupants in hot and arid climates necessitates prioritizing the shielding of buildings from solar radiation and heat. This study employed simulation techniques utilizing Rhino software, Grasshopper plugin, and Climate Studio plugin to determine the most suitable facade design in terms of energy efficiency, considering the thermal performance of office building facades in Tehran. The investigation evaluated the thermal performance of four facade systems: three variations of double-skin facade (Buffer system, Extract-air system, Twin-face system), and a kinetic facade. Detailed calculations were conducted for heating, cooling, and electrical energy consumption, with results compared using monthly and annual charts. Simulation outcomes indicate that, under constant conditions, the kinetic facade exhibits superior energy efficiency by dynamically adjusting its components, including rotation direction and opening/closing mechanisms, resulting in a 42.3% reduction in energy consumption compared to conventional double-skin facades. Furthermore, the analysis suggests that annual energy consumption, encompassing cooling, heating, and electric lighting, is lower on the southern facade than on the northern facade. Notably, the kinetic facade, with its adaptable design, demonstrates significant performance in energy reduction compared to other facade types, establishing it as the preferred option in this study. Employing intelligent self-adaptive systems, a portion of the facade is configured as a canopy, effectively mitigating building cooling and heating loads by regulating solar radiation, thus enhancing environmental comfort for occupants while minimizing energy loss.
