某项目下沉式布置冷却塔通风散热CFD模拟及优化
摘要:对某已建工程下沉空间冷却塔现有布置方案和采取优化措施后的通风散热进行了CFD模拟。结果表明:现有布置方案结构梁、钢梁、篦子的遮挡对冷却塔通风的影响比较大,冷却塔的返混率为41.45%,远大于正常运行时10.00%返混率的要求;采取拆除钢梁、篦子和加装导风筒、异型导风筒的组合优化措施后,下沉空间设备返混率接近于零,实测冷却塔平均返混率为3.83%,较好地验证了CFD模拟结果。优化改造后的下沉空间设备运行良好,达到了预期的工程效果。对某已建工程下沉空间冷却塔现有布置方案和采取优化措施后的通风散热进行了CFD模拟。结果表明:现有布置方案结构梁、钢梁、篦子的遮挡对冷却塔通风的影响比较大,冷却塔的返混率为41.45%,远大于正常运行时10.00%返混率的要求;采取拆除钢梁、篦子和加装导风筒、异型导风筒的组合优化措施后,下沉空间设备返混率接近于零,实测冷却塔平均返混率为3.83%,较好地验证了CFD模拟结果。优化改造后的下沉空间设备运行良好,达到了预期的工程效果。
关键词:冷却塔通风散热下沉空间优化返混率CFD模拟现场检测
尊敬的用户,本篇文章需要2元,点击支付交费后阅读
限时优惠福利:领取VIP会员
全年期刊、VIP视频免费!
全年期刊、VIP视频免费!
参考文献[1] 宁太刚,朱思睿,申屠慧玲.建筑半封闭空间冷却塔风热环境数值模拟分析[J].暖通空调,2022,52(增刊2):269- 273.
[2] 中国建筑科学研究院有限公司.民用建筑供暖通风与空气调节设计规范:GB 50736—2012[S].北京:中国建筑工业出版社,2012:102.
[3] 张志勤,李晓锋,朱颖心.冷却塔下陷布置返混率的实验研究[C]//全国暖通空调制冷2002年学术年会论文集,2002:786- 789.
[4] 沙沛浩,陈盟.冷却塔如何进行性能评价[J].民营科技,2008,14(12):21- 22.
[5] 王福军.计算流体动力学分析:CFD软件原理与应用[M].北京:清华大学出版社,2004:43- 48.
[6] 吴兆林,高涛,孙稚囡.高层建筑分层设置多联机室外机吸排风气流模拟及优化[J].暖通空调,2008,38(1):7- 10.
[7] 马旭升,刘建华,刘小芳.冷却塔设计热力性能的确定及 CFD 模拟软件在冷却塔设计中的工程实践[J].建筑节能,2017,45(12):8- 11.
[8] 赵福云,汤广发,刘娣.CFD 数值模拟的系统误差反馈及其实现[J].暖通空调,2004,34(6):1- 8.
[2] 中国建筑科学研究院有限公司.民用建筑供暖通风与空气调节设计规范:GB 50736—2012[S].北京:中国建筑工业出版社,2012:102.
[3] 张志勤,李晓锋,朱颖心.冷却塔下陷布置返混率的实验研究[C]//全国暖通空调制冷2002年学术年会论文集,2002:786- 789.
[4] 沙沛浩,陈盟.冷却塔如何进行性能评价[J].民营科技,2008,14(12):21- 22.
[5] 王福军.计算流体动力学分析:CFD软件原理与应用[M].北京:清华大学出版社,2004:43- 48.
[6] 吴兆林,高涛,孙稚囡.高层建筑分层设置多联机室外机吸排风气流模拟及优化[J].暖通空调,2008,38(1):7- 10.
[7] 马旭升,刘建华,刘小芳.冷却塔设计热力性能的确定及 CFD 模拟软件在冷却塔设计中的工程实践[J].建筑节能,2017,45(12):8- 11.
[8] 赵福云,汤广发,刘娣.CFD 数值模拟的系统误差反馈及其实现[J].暖通空调,2004,34(6):1- 8.
CFD simulation and optimization of ventilation and heat dissipation for cooling towers in underground space of a project
Abstract: In this paper, the ventilation and heat dissipation for cooling towers of the existing layout scheme and after taking optimization measures in underground space of a built project are simulated using CFD. The results show that the occlusion of structural beams, steel beams and grates in the existing layout scheme has a great impact on the ventilation of the cooling towers. The return mixing rate of the cooling towers is 41.45%, which is much higher than the requirement of 10.00% return mixing rate in normal operation. After taking the combined optimization measures of removing the steel beams and grates, and installing air deflectors and special-shaped air deflectors, the return mixing rate of underground space equipment is close to zero. The measured average return mixing rate of the cooling towers is 3.83%, which well verifies the CFD simulation. After optimization, the underground space equipment operates well and achieves the expected engineering requirements.
Keywords: cooling tower; ventilation and heat dissipation; underground space; optimization; return mixing rate; CFD simulation; field testing;
930
0
0