Simulation and Optimization Analysis of Summer Indoor Thermal Environment for School Buildings in Hot Summer and Cold Winter Zone

Zhang, Lili; Hou, Yuyao; Wei, Dong; Liu, Zu’an; Hou, Jiayun; Du, Junfei; Shen, Qiong

doi:10.1007/978-981-13-9520-8_110

Cited by 1 publication

(1 citation statement)

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“…Liu J utilized PHOENICS software to simulate the thermal environment in an air-conditioned office in summer [25]. Zhang L took a teaching building in Chengdu city as the research object, combined it with PHOENICS software to simulate the current situation of the indoor thermal environment in summer, and analyzed the impact of different optimization strategies on the indoor thermal environment of buildings in summer in hot summer and cold winter areas [26]. Chinglin M used CFD software PHOENICS to simulate the potential of natural ventilation and mechanical fan air conditioning for different scenarios under typical summer meteorological conditions in Sanya City and concluded that under the same indoor thermal comfort conditions, the wide application of mechanical fans in the tropics can reduce energy consumption [27].…”

Section: Cfd Simulation Detailsmentioning

confidence: 99%

Simulation and Optimization Study on the Ventilation Performance of High-Rise Buildings Inspired by the White Termite Mound Chamber Structure

Wei,

Lin,

Wang

et al. 2023

Biomimetics

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High-rise buildings often use mechanical systems to assist ventilation to maintain the stability of their internal environments, and the energy consumption of mechanical ventilation poses a great challenge to urban environments and energy systems. The ventilation system of termite mounds with a combination of internal main and attached chambers is one of the classic examples of nature’s bionic approach to maintaining a stable internal ventilation environment for large-volume structures. In this study, based on the inspiration of the internal ventilation chamber structure of bionic termite mounds, we constructed seven high-rise building chamber ventilation models based on the chamber structure of termite mounds with main chambers, main chambers plus single-attached chambers (three types), and main chambers plus double-attached chambers (three types) under natural ventilation conditions, aiming at obtaining the optimal low-energy and high-efficiency chamber ventilation model for bionic termite mounds in high-rise buildings. (1) The wind speed and wind pressure of the high-rise building with the addition of the bionic termite mound chamber structure is higher than that of the traditional chamber-free high-rise building in the sample floors, the maximal difference of the wind speed between the two models is 0.05 m/s, and the maximal difference of the wind speed of the single building is 0.14 m/s, with the maximal difference of the wind speed of the single building being 0.14 m/s; and the natural ventilation environment can be satisfied by a high-rise building with a chamber. (2) After increasing the single-attached chamber structure of the bionic termite mound, the difference in wind speed of different floors is 0.15 m/s, which is 0.10 m/s higher than that of the high-rise building model with the main chamber only. (3) Under the bionic termite mound chamber high-rise building double-attached chamber model, the maximum difference in wind speed of each floor sampling point can reach 0.19 m/s, while the wind pressure cloud map shows a stable wind environment system. (4) Two attached chambers are added at A and B of the high-rise building to form the a4 model of the chamber of the high-rise building with a double-chamber bionic termite mound. According to the results, it can be seen that the model of the nine floor sampling points of the maximum wind speed difference has six places for the highest value, and the single building wind speed difference for the minimum value of 0.10 m/s. The study aims to optimize the connectivity and ventilation performance of high-rise buildings under natural ventilation conditions and to promote the green and sustainable design of high-rise buildings.

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Section: Cfd Simulation Detailsmentioning

confidence: 99%