本文選題：風(fēng)道結(jié)構(gòu) + 地板下送風(fēng)�。� 參考：《南京師范大學(xué)》2017年碩士論文

【摘要】：數(shù)據(jù)中心建設(shè)的蓬勃發(fā)展與其高能耗的特點(diǎn)已經(jīng)引起了社會(huì)及國內(nèi)外專家學(xué)者的廣泛關(guān)注,節(jié)能改造或建造高能效的數(shù)據(jù)中心對(duì)于節(jié)能降耗研究具有重大意義。在數(shù)據(jù)中心的能耗組成中,空調(diào)系統(tǒng)能耗約占45%左右,成為主要的能耗來源。隨著電子產(chǎn)品集成化程度的不斷提高,單位面積散熱量每年大幅增長,高熱流密度設(shè)備的巨大發(fā)熱量給空調(diào)系統(tǒng)供冷提出嚴(yán)峻考驗(yàn)。同時(shí)由于氣流組織不合理、設(shè)備不匹配等因素造成的冷量浪費(fèi)和局部過熱現(xiàn)象亟待解決。為了保證設(shè)備安全穩(wěn)定的運(yùn)行,創(chuàng)造良好的數(shù)據(jù)中心熱環(huán)境顯得尤為重要。目前在數(shù)據(jù)中心節(jié)能探索研究中,國內(nèi)外專家學(xué)者更多集中在熱環(huán)境改善、氣流組織優(yōu)化的研究中。數(shù)據(jù)中心內(nèi)氣流組織的運(yùn)行效果是通過熱環(huán)境來呈現(xiàn),優(yōu)化出合適的氣流組織形式,不僅有利于減少數(shù)據(jù)中心局部熱點(diǎn)產(chǎn)生,改善熱環(huán)境,還能提高冷量的利用率,降低數(shù)據(jù)中心的空調(diào)系統(tǒng)能耗。冷/熱通道布置、架空地板下送風(fēng)上回風(fēng)方式作為行之有效的數(shù)據(jù)中心氣流組織形式被廣泛采用。對(duì)于地板下送風(fēng)型數(shù)據(jù)中心,地板下靜壓層內(nèi)的氣流組織在數(shù)據(jù)中心有效運(yùn)作上起關(guān)鍵作用。因此改善地板下送風(fēng)型數(shù)據(jù)中心氣流組織分布的關(guān)鍵就是要優(yōu)化地板下靜壓層內(nèi)的流場(chǎng)。而影響地板下靜壓層內(nèi)流場(chǎng)的因素主要包括:機(jī)房空調(diào)的位置及送風(fēng)速度、靜壓層的高度、穿孔地板的穿孔率和地板下障礙物的位置,如地板支架、電纜和管道等。為了改善地板下送風(fēng)型數(shù)據(jù)中心熱環(huán)境品質(zhì),優(yōu)化氣流組織分布,提高冷量利用率,國內(nèi)外的研究主流主要是以下兩方面:一、冷通道封閉、熱通道封閉;二、優(yōu)化地板下送風(fēng)風(fēng)道結(jié)構(gòu)。研究手段也大多是數(shù)值模擬的方法。大型數(shù)據(jù)中心往往都是以排布奇數(shù)列或偶數(shù)列機(jī)柜的數(shù)據(jù)中心子模塊為基礎(chǔ)擴(kuò)展而成。本文以改善數(shù)據(jù)中心熱環(huán)境,降低空調(diào)系統(tǒng)能耗為根本目標(biāo),以排列偶數(shù)列機(jī)柜的數(shù)據(jù)中心子模塊為基礎(chǔ),選取某大型數(shù)據(jù)中心排布4列機(jī)柜冷通道封閉的數(shù)據(jù)中心子模塊作為研究對(duì)象,對(duì)開孔地板下送風(fēng)形式下子模塊的速度場(chǎng)與溫度場(chǎng)展開全面的分析,總結(jié)存在的熱環(huán)境問題。進(jìn)一步地,數(shù)值模擬研究了靜壓層高度、穿孔地板穿孔率和地板下?lián)醢褰嵌葘?duì)氣流組織的影響,推薦靜壓層高度的范圍為700mm～800mm,穿孔地板穿孔率的范圍為20%～30%,并逐步優(yōu)化出數(shù)據(jù)中心子模塊的最佳靜壓層高度和穿孔地板穿孔率。在此基礎(chǔ)上,為了得到最佳冷卻效果,在靜壓層內(nèi)架設(shè)擋板,并在-15°～45°的擋板角度中選擇最佳角度位置。最終得到數(shù)據(jù)中心子模塊的最佳氣流組織模型并試驗(yàn)驗(yàn)證,有效改善數(shù)據(jù)中心熱環(huán)境品質(zhì)的同時(shí),也為大型數(shù)據(jù)中心熱環(huán)境的優(yōu)化設(shè)計(jì)提供參考。
[Abstract]:The vigorous development of data center construction and its characteristics of high energy consumption have attracted the widespread attention of the society and domestic and foreign experts and scholars. It is of great significance to study energy saving and consumption reduction by transforming or constructing the data center with high energy efficiency.In the data center, the energy consumption of air conditioning system is about 45%, which is the main energy consumption source.With the continuous improvement of the integration of electronic products, the heat loss per unit area increases greatly every year. The huge heat emission of high heat flux equipment presents a severe test for the cooling of air conditioning system.At the same time, the waste of cooling quantity and local overheating caused by unreasonable airflow organization and equipment mismatch are urgently needed to be solved.In order to ensure the safe and stable operation of the equipment, it is particularly important to create a good data center thermal environment.At present, experts and scholars at home and abroad focus more on the improvement of thermal environment and the optimization of airflow organization in the research of energy conservation in data centers.The operation effect of airflow organization in the data center is presented by thermal environment, and the suitable airflow organization form is optimized. It is not only helpful to reduce the local hot spots in the data center and improve the thermal environment, but also to increase the utilization rate of the cooling amount.Reduce the energy consumption of the air conditioning system in the data center.The cold / hot channel arrangement and the upper air return under the overhead floor are widely used as effective data center airflow organization.For the underfloor air supply type data center, the airflow organization in the static layer under the floor plays a key role in the effective operation of the data center.Therefore, the key to improve the distribution of airflow in the underfloor air supply data center is to optimize the flow field in the static layer under the floor.The main factors affecting the flow field of the static pressure layer under the floor include: the air conditioning position and the velocity of air supply, the height of the static pressure layer, the perforation rate of the perforated floor and the position of obstacles under the floor, such as floor support, cable and pipe, etc.In order to improve the quality of thermal environment, optimize the distribution of airflow, and increase the utilization rate of cooling rate, the main research trends at home and abroad are as follows: first, the cold channel is closed, the hot channel is closed;Optimize the air duct structure under the floor.Most of the research methods are numerical simulation methods.Large-scale data centers are often extended on the basis of the data center submodules of odd-numbered or even-numbered cabinets.The basic goal of this paper is to improve the thermal environment of the data center, to reduce the energy consumption of the air conditioning system, and to arrange the sub-modules of the data center of the even row cabinet as the foundation.In this paper, a data center sub-module which is arranged in a large data center is selected as the research object. The velocity field and temperature field of the submodule are analyzed comprehensively, and the existing thermal environment problems are summarized.Furthermore, the effects of static layer height, perforation rate and angle of underfloor baffles on airflow are studied numerically.The recommended height of static pressure layer is 700mm / 800mm, and the perforation rate of perforated floor is 20 / 30mm, and the optimum static layer height and perforated floor perforation rate of data center submodule are optimized step by step.On this basis, in order to obtain the best cooling effect, the baffle is set up in the static pressure layer, and the optimum angle position is chosen among the baffle angles of -15 擄and 45 擄.Finally, the optimal airflow organization model of the data center sub-module is obtained and verified by experiments, which effectively improves the thermal environment quality of the data center and provides a reference for the optimization design of the large data center thermal environment.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU83

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