發(fā)布時(shí)間：2018-05-03 22:42

  本文選題：數(shù)據(jù)機(jī)房 + 氣流組織CFD數(shù)值模擬��； 參考：《西安電子科技大學(xué)》2013年碩士論文

【摘要】：隨著3G時(shí)代的來臨，通信行業(yè)的服務(wù)器發(fā)展迅速，刀片式服務(wù)器的應(yīng)用也使機(jī)房內(nèi)部的發(fā)熱量越來越大，增加了機(jī)房的總能耗。由于數(shù)據(jù)機(jī)房的環(huán)境要求較高造成了空調(diào)系統(tǒng)每年消耗大量的電能，，約占總電費(fèi)的54％左右。除了高昂的電費(fèi)成本支出之外，機(jī)房內(nèi)部環(huán)境溫度不均一，同一時(shí)間測定的不同區(qū)域溫差有時(shí)可達(dá)5℃以上，也造成了機(jī)房空調(diào)高能耗、低效率的現(xiàn)狀。因此，如何合理地設(shè)計(jì)室內(nèi)氣流組織來充分有效地利用空調(diào)設(shè)備冷卻服務(wù)器，從而提高其使用壽命也是值得關(guān)注的一個(gè)問題。 本文以某一數(shù)據(jù)機(jī)房熱管理實(shí)驗(yàn)平臺為研究對象，主要開展了三方面的研究工作： 首先，進(jìn)行數(shù)據(jù)機(jī)房熱管理實(shí)驗(yàn)平臺的建模，根據(jù)實(shí)際機(jī)房布局尺寸，采用CFD數(shù)值模擬方法，建立熱仿真模型，分析在擺放一臺服務(wù)器和十臺服務(wù)器的極值工況下的機(jī)房的速度場、溫度場分布，根據(jù)計(jì)算結(jié)果校驗(yàn)兩種極值工況是否符合實(shí)驗(yàn)機(jī)房熱管理設(shè)計(jì)要求，使得CFD數(shù)值模擬在數(shù)據(jù)機(jī)房實(shí)驗(yàn)平臺的建設(shè)中起到輔助設(shè)計(jì)的作用。并且通過熱仿真分析與實(shí)際測試的對比分析，驗(yàn)證CFD所建模型的合理性以及求解設(shè)置的正確性。 其次，考慮到空調(diào)的參數(shù)性能，機(jī)房布局形式對空調(diào)系統(tǒng)的利用效率和氣流組織分布均有重大影響。本文通過CFD數(shù)值模擬分析空調(diào)性能參數(shù)的改變以及機(jī)房布局形式改變對氣流組織分布的影響，重點(diǎn)對不同工況下的速度場以及溫度場進(jìn)行分析，分析得出單一因素改變對速度場和溫度場產(chǎn)生的變化規(guī)律，以及針對典型機(jī)房的合理的機(jī)房布局參數(shù)，為實(shí)際機(jī)房實(shí)驗(yàn)平臺的搭建和數(shù)據(jù)機(jī)房的節(jié)能改造提供參考。 最后，針對內(nèi)置兩臺機(jī)柜的典型機(jī)房，采用響應(yīng)曲面法進(jìn)行數(shù)據(jù)機(jī)房熱管理的優(yōu)化設(shè)計(jì)，選擇空調(diào)送風(fēng)溫度、空調(diào)送風(fēng)量、環(huán)境溫度以及機(jī)柜間距為四個(gè)設(shè)計(jì)變量，兩機(jī)柜出風(fēng)口溫度的平均值為響應(yīng)值，利用響應(yīng)曲面法中的中心復(fù)合實(shí)驗(yàn)設(shè)計(jì)來得到最優(yōu)工況和兩機(jī)柜出風(fēng)口平均值的經(jīng)驗(yàn)公式，來預(yù)測實(shí)際工況中的機(jī)柜出風(fēng)口的溫度，達(dá)到指導(dǎo)工程實(shí)踐的作用，為多機(jī)柜的研究奠定基礎(chǔ)。
[Abstract]:With the advent of the 3G era, the server of the communications industry has developed rapidly. The application of the blade server also makes the heating of the engine room more and more large, increasing the total energy consumption of the machine room. Because of the high requirements of the environment of the data room, the air conditioning system consumes a large amount of electricity every year, accounting for about 54% of the total electricity bill. In addition to the cost, the internal temperature of the machine room is not uniform, and the temperature difference measured at the same time can be up to 5 degrees centigrade at the same time. It also causes the high energy consumption and low efficiency of air conditioning in the machine room. Therefore, how to rationally design the air flow organization to fully and effectively use the cooling server of the air conditioning equipment so as to improve its service life is also to be improved. A matter of concern.
In this paper, a thermal management experimental platform of a data room is taken as the research object. Three main research works are carried out:
First, the thermal management experiment platform of the data room is modeled. According to the actual machine room layout and size, the CFD numerical simulation method is used to establish the thermal simulation model. The velocity field and temperature field distribution of the machine room under the extreme working conditions of a server and ten servers are analyzed, and the two extreme value conditions are verified according to the calculation results. The thermal management design requirements of the laboratory room make the CFD numerical simulation play an auxiliary role in the construction of the experimental platform for the data room. And through the comparison and analysis of the thermal simulation analysis and the actual test, the rationality of the model built by CFD and the correctness of the solution setting are verified.
Secondly, considering the parameter performance of the air conditioning, the layout of the machine room has a great influence on the efficiency of the air conditioning system and the distribution of air distribution. In this paper, the influence of the change of air conditioning performance parameters and the change of the layout form of the machine room to the distribution of air distribution is analyzed by CFD numerical simulation, and the speed field and temperature field under different working conditions are focused on. The analysis shows that the change of the single factor changes the velocity field and the temperature field, as well as the reasonable layout parameters of the machine room for the typical machine room, provides a reference for the construction of the experimental platform of the actual machine room and the energy saving transformation of the data room.
Finally, the response surface method is used to optimize the heat management of the data room with the response surface method. The response surface method is used to optimize the heat management of the data room. Four design variables are selected for air conditioning air supply temperature, air conditioning air supply volume, environment temperature and cabinet spacing, and the average value of the outlet temperature of the two cabinet is the response value, and the central compound experiment in the response surface method is used. The experiential formula of the optimal working condition and the average value of the outlet of the two cabinet is designed to predict the temperature of the outlet of the cabinet in the actual working condition, to guide the role of the engineering practice, and to lay the foundation for the research of the multi cabinet.

【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TU831

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