TW201215823A - Water-side facility energy-saving control method of air conditioner system - Google Patents
Water-side facility energy-saving control method of air conditioner system Download PDFInfo
- Publication number
- TW201215823A TW201215823A TW99133855A TW99133855A TW201215823A TW 201215823 A TW201215823 A TW 201215823A TW 99133855 A TW99133855 A TW 99133855A TW 99133855 A TW99133855 A TW 99133855A TW 201215823 A TW201215823 A TW 201215823A
- Authority
- TW
- Taiwan
- Prior art keywords
- water
- power consumption
- temperature
- ice water
- value
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 88
- 238000001816 cooling Methods 0.000 claims abstract description 29
- 238000012937 correction Methods 0.000 claims abstract description 7
- 239000005457 ice water Substances 0.000 claims description 87
- 238000004378 air conditioning Methods 0.000 claims description 69
- 239000000498 cooling water Substances 0.000 claims description 45
- 238000000611 regression analysis Methods 0.000 claims description 23
- 238000012546 transfer Methods 0.000 claims description 22
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000013461 design Methods 0.000 claims description 13
- 230000005611 electricity Effects 0.000 claims description 10
- 238000005057 refrigeration Methods 0.000 claims description 7
- 230000006978 adaptation Effects 0.000 claims description 5
- 235000013399 edible fruits Nutrition 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 5
- 230000003068 static effect Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 241000196324 Embryophyta Species 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 235000003283 Pachira macrocarpa Nutrition 0.000 claims description 2
- 241001083492 Trapa Species 0.000 claims description 2
- 235000014364 Trapa natans Nutrition 0.000 claims description 2
- 238000009826 distribution Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 235000009165 saligot Nutrition 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 238000003860 storage Methods 0.000 claims description 2
- 101100243972 Arabidopsis thaliana PRR2 gene Proteins 0.000 claims 1
- 101100450138 Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) hat-2 gene Proteins 0.000 claims 1
- 230000005494 condensation Effects 0.000 claims 1
- 238000009833 condensation Methods 0.000 claims 1
- 238000010276 construction Methods 0.000 claims 1
- 238000001704 evaporation Methods 0.000 claims 1
- 230000008020 evaporation Effects 0.000 claims 1
- 238000003801 milling Methods 0.000 claims 1
- 235000013311 vegetables Nutrition 0.000 claims 1
- 238000005265 energy consumption Methods 0.000 abstract description 8
- 238000011161 development Methods 0.000 abstract description 2
- 230000001373 regressive effect Effects 0.000 abstract 4
- 238000012795 verification Methods 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 5
- 239000000463 material Substances 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000007710 freezing Methods 0.000 description 2
- 230000008014 freezing Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 101150023977 Baat gene Proteins 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 1
- 101150034459 Parpbp gene Proteins 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 229910052804 chromium Inorganic materials 0.000 description 1
- 239000011651 chromium Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001595 flow curve Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
Description
201215823 六、發明說明: 【發明所屬之技術領域】 本發明係關於-種空調系統水側設備節能控制方法, 特別係關於一種針對冰水主機、冷卻水塔、水泵等水側設 備,以最佳化演算法計算各設備在整體空調系統最佳耗= 狀態下的運轉參數,進而調控各設備運轉狀態,以獲 佳化整體節能效果之控制方法。 又于 【先前技術】 3就目前辦公大樓、百貨公司、工廠、賣場、車站、機 場、飯店等公共場所而言,其办^ 以冰水主機彳统4Μ ’工調糸 '統幾乎都是 機系、.充為主,根據統計,在Μ 空調系統的用電量約佔—楝辦八士播_ m $用電時奴 棟辦A大樓總用電量的百 十,而以一套新台幣一千 刀之八 .百萬兀的冰水空調系統為例, 在適虽的維護下使用年限可達二十年, 間 用電費用估計約新台幣—偉 / —十年間的總 統投資額的十倍。 & ’,々為該冰水空調系 由於大型工_ &備系統的電力用量相 環境的用電比例也最高, 龐大,佔辦公 ?可產生顯著的省電效果,並為用戶省;;=控 支出,此舉亦符合節能減碳之環保趨勢。 的電費 根據台灣能源統計年郝 的空調冰水主機超過三‘、不’政府部門各單位所裝設 設的空調冰水主機數量,_^間企業和公共場所所裝 據業界統計,至少超過 ^有明確的統計資料,但根 卩以上,故不論是官方或者業 201215823 界的統計資料均顯示,公利與私部門的空調主機數量為 數不;,加上用電量極為可觀,因此,倘若能夠對此進行 節能控制’將可獲得卓越的成效。 根據研究,大型冷;東空調系統的耗電量分析,空氣側 或負載側設備約佔百分之二十,冰水輸送設備約佔百分之 二十’冰水主機設備約佔百分之六十,因Λ,在空調系統 水側設備的用電量約佔了整體系統的百分之八十,因此若 針對該等水側設備進行節能㈣,即可直接針對重點 控制而獲得顯著的效果。 又έ,冰水機空調系統水側端設備主要包括: 冷部水塔、水泵,目前相關業界的的現況是該$ 各自投入且專業的製造廠商,廠商們為了節能g 投入其設備效率之改良作業,然而, 個別料效率提升,並不代表整體空調_的”最佳化 中二二調系統在使用上以及節能控制的進层 岸廠芮°題’尤其因為各個設備係來自不同的伊 在實務上確實存在著Γ 設計,故冰水機空調系絲 問題: 纟雜的問題,經初步分析’計有下列 月1J國内空調系統不論是 以人工操作調節 進仃卽此工程,大 變化並不是人工T 動態的空調負載及外 不疋人工可以隨時跟得上的; 二、冰水主機群無針對系統實 載分配,或是僅以平均分 广來進行正確的 十鼻來開關冰水主機;或是 201215823 以系統負載做耗電力(户^)最小化數值分析來分配η個 主機之卸載量(户H·)’且由於各個廠牌之卸載量控制之複雜 情況而未見自動化之實踐,如 η minPsys=^Pchi /=1 st- p:h.i = a〇.i + au X PLR. + a2i X PLR^201215823 VI. Description of the Invention: [Technical Field] The present invention relates to an energy-saving control method for a water-side device of an air-conditioning system, and particularly relates to a water-side device such as an ice water main engine, a cooling water tower, and a water pump, which is optimized The algorithm calculates the operating parameters of each device in the optimal consumption state of the overall air conditioning system, and then controls the operating state of each device to obtain a control method for improving the overall energy saving effect. Also in [prior art] 3 in the current office buildings, department stores, factories, stores, stations, airports, restaurants and other public places, the operation of the ice water host system 4 Μ '工调糸' almost all machines According to statistics, in the air conditioning system, the electricity consumption is about _ _ _ _ _ _ _ m $ electricity when the slave building A building total electricity consumption of 100, and a new set For example, the tens of millions of Taiwanese ice water air-conditioning systems can be used for up to 20 years under appropriate maintenance. The estimated electricity consumption is about NT$-Wei/------- Ten times. & ', the ice water air conditioning system due to the large-scale work _ & standby system power consumption phase of the environment is also the highest proportion of electricity, large, accounting for office? Can produce significant power-saving effect, and save the user; = Control expenditure, this move is also in line with the environmental protection trend of energy saving and carbon reduction. According to the statistics of Taiwan's energy statistics, Hao's air-conditioning chillers have more than three ', no' government departments, and the number of air-conditioning chillers installed in the government departments, _^ enterprises and public places according to industry statistics, at least more than ^ There are clear statistics, but based on the above, the statistics of the official or industry 201215823 sector show that the number of air-conditioning hosts in the public and private sectors is not significant; plus the electricity consumption is extremely impressive, so if it can This energy-saving control will yield excellent results. According to research, large-scale cold; East air-conditioning system power consumption analysis, air side or load side equipment accounted for about 20%, ice water transport equipment accounted for about 20% 'ice water host equipment accounted for about 20% Sixty, because the electricity consumption of water-side equipment in air-conditioning systems accounts for about 80% of the total system. Therefore, if energy-saving equipment is used for these water-side equipments (4), it can be directly targeted for key control. effect. In addition, the water side equipment of the chiller air-conditioning system mainly includes: cold water towers and water pumps. The current situation in the relevant industry is that the respective invested and professional manufacturers, the manufacturers have invested in the improvement of equipment efficiency for energy saving g. However, the efficiency improvement of individual materials does not mean that the overall air conditioning _ "optimization of the second two-tone system in use and energy-saving control of the in-situ factory 芮 °" especially because the various equipment from different Iraqi practice There is indeed a design on the ,, so the chiller air conditioning system silk problem: noisy problems, after preliminary analysis 'counted the following month 1J domestic air conditioning system, whether it is manually adjusted to enter this project, the big change is not Manual T dynamic air conditioning load and external force can be kept at any time; Second, the ice water host group does not have a real load distribution for the system, or only the average ten-nose to switch the ice water host; Or 201215823 to use the system load to do power consumption (household) minimization numerical analysis to allocate the unloading amount of η hosts (household H·)' and control due to the unloading amount of each brand Complex situations without the practice of automation, such as η minPsys=^Pchi /=1 st- p:h.i = a〇.i + au X PLR. + a2i X PLR^
Qsys ~ Σ i x Qch j /=1 其中aO、al、a2為迴歸適配係數;或是,以事先計算機 • 群負載組合表做對照來切換主機運轉。然而,負載動態變 化並無法使用人工方式嚴謹實踐操作,再者,此模式也僅 只於主冰水機電能需求部份; 四、 冰水主機是用電力最大的裝置,而冷卻水塔是左 右其性能的配備’且受外氣條件之動態變化有重大的耗能 影響。目前有以固定冷卻水塔風扇轉速運轉者,此法只可 消除過度设st (Over specified design)產生的耗電;或有以濕 球溫度試圖取得最低可能之趨近溫度,此法造成主機用電 ® 減少但冷卻水塔用電卻高升造成合成用電並不減少的情 況;或有以冰水主機性能曲線、配合外氣濕球溫度條件做 迴歸適配(Regression fitting)以計算最低耗電者,但此法並 無各個不同廠牌設備性能特性之群體運轉分析控制,用以 取得真正整體運轉最低耗電力; 五、 冰水泵用電次於冰水主機,現今屢見以差壓計裝 。又於最运空!周設備如空調機(Air Handling Unit ,AHU)、外 氣處理機(Make_up Air Unit,MAU)等處,試圖以固定的設定 201215823 壓差配合變頻器來使水泵降載,往往設定值太小而無法符 合實際動態負載需求而產生抱怨,為避免此種問題而提高 設定值而產生節能成果打折扣; 六、冷卻水泵用電力視系統管線佈置有甚大的影響, 不亞於冰水泵電力,使用變頻機搭配企圖減少耗電力,惟 系統淨水頭的存在未經仔細扣抵而無法有實質的節能,也 許可消除過度設計(〇ver specified design)產生的耗電; 七卽此無整體系統觀,如個別使用高效率設備,儘 管個別設備達到最低耗能,但在其他設備的運轉下,未必 能達到整體耗能最低之狀態; v缺乏1合性此源管理系統,僅獨立地在個別設備 上進行耗電分析及管理控制◊如設備維護不佳的性能變化 或老化(Aging)也不見於管理系統上,例如各別主機之c〇p 可見到,但整體冰水廠(ChiUer plant) c〇p趨勢應更是管理 之先期指標(performance Index in leading)。 故倘若相關研究人員能夠研發出一種空調系統水側設 備節能控制方法,藉以解決上述空調系統在運作上所產生 的問題’因&可更進一步地符合節能減碳趨勢並且獲得空 調系統整體性的節能控制效果,亦即以整體c〇p的發想才 導出節能的本發明。 【發明内容】 為解決上述目前空調系統水側端設備在節能控制上所 f生的缺失’本發明人特潜心致力於空調系統水側設備節 能控制方法的開發,終於開發出本發明。 201215823 本發明之主要目的在於提供一種空調系統水侧設備節 能控制方法,特別係關於一種針對冰水主機、冷卻水塔' 水泵等水側設備,以最佳化演算法計算各設備在整體空調 系統最佳耗能狀態下的運轉參數,進而調控各設備運轉狀 態’以獲得最佳化整體節能效果之空調系統水側設備節能 控制方法。 為達上述之目的,本發明之空調系統水側設備節能控 制方法,係針對空調系統水側設備進行即時自動化的節能 控制以及冰水主機之卸載與開關(Staging),該空調系統水 側設備包括至少一冰水主機、至少一冷卻水塔以及複數水 泵’該節能控制方法係包括有: 步驟A:冰水主機耗電性能迴歸分析,冰水主機耗電 卸載率、冷卻水溫度及冰水出水溫度三變數之函數,以福 稱參數作為耗電計算基礎,擷取及㈣資料絲據或冰^ ,機製造商提供的相關參數,建立迴歸方程式,並修正及 計算出言亥冰水主機於實際非標稱運轉狀態下之耗電值; 步驟B:冷卻水塔性能迴歸分析,建立冷卻水血外氣 :熱傳及質傳之麥克爾方程式(Μ_—〇η),藉由該; 爾方程式建立熱傳遞單位數(NTU)以及水氣比⑹G)之商 品設計資料,進而計算方程式中的係數與指數; 〇 步驟C ··水泵運轉性能迴歸^ ^ ^ ^ ^ ^ ^ 立迪輮士你斗-* τ刀斫取付水泵運轉數據案 、知方程式,再依該迴歸方式 曲線作為水^ 1 ώ ^ (Q-H)性葡 读,以 ^線並由迴歸計算求得各係數,且 透過系統運轉線以及相似定律 心评仕既疋之流置需求下求得新 201215823 轉速,進而下達變頻器運轉指令; 步驟D:系統建立及數值最佳化計算,擷取冰水主機耗 電性此迴歸分析、冷卻水塔性能迴歸分析、水泵運轉性能 迴歸分析之數據代入系統最小總耗電力函數,以分析、取 得系統在總耗電力為最小的情況之各項操作參數; 步驟E:依各項操作參數進行控制,並且將控制後的運 轉數據進行數據回饋及儲存運轉資料庫。 透過上述之方法,在空調系統水側設備之節能控制方 面’可獲得下列優勢: 一、將本發明之方法結合節能控制之裝置及軟體,可 達到自動化操作之效能,減少操作人力的投入及管理; 一、可針對實際負載,以最佳化模式分析並分配各冰 水主機之卸載量,使其進行高效率運轉; 三、 建立系統之性能數學模式,包含冰水主機、冷卻 水塔、水泵之性能分析,並依設備冷凍負載、外氣條件及 焓值平衡控制’以計算出各個設備之運轉參數,來達到系 統總耗電最小; 四、 以整合性之觀點開發能源管理系統,除了個別設 備耗電之監控、紀錄及分析外,亦可統整總設備之性能係 數及總耗能之趨勢等,可應用於先期管理指標。 故本發明之空調系統水側設備節能控制方法,結合目 前市面上進行節能控制作業的相關設備,即可解決目前空 調系統在節能控制方面的不足與缺陷,不僅無須另行開發 201215823 硬體a備而可提升實務操作上的便利性與可行性,透過該 即能控制方法更能夠提升對於空調系統的節能效率,實具 備新穎性與進步性無疑。 【實施方式】 為使熟悉該項技藝人士瞭解本發明之目的,兹配合圖 式將本發明之較佳實施例詳細說明如下。Qsys ~ Σ i x Qch j /=1 where aO, a, and a2 are regression adaptation coefficients; or, the host computer/group load combination table is used as a comparison to switch the host operation. However, the load dynamics cannot be manually manipulated and rigorously practiced. Moreover, this mode is only used for the main ice water energy demand component. 4. The ice water main unit is the largest power device, and the cooling water tower is the performance. The equipment is 'have a significant energy impact due to dynamic changes in external air conditions. At present, there is a fixed cooling tower fan speed running, this method can only eliminate the power consumption caused by over specified design (over specified design); or try to get the lowest possible approach temperature with the wet bulb temperature, this method causes the host to use electricity ® reduces but the cooling tower power is increased, resulting in no reduction in synthetic electricity consumption; or the regression power fitting with the ice water host performance curve and the external gas wet bulb temperature condition to calculate the minimum power consumption, However, this method does not have the group operation analysis control of the performance characteristics of different brand equipments, in order to obtain the minimum power consumption of the real overall operation; Fifth, the ice water pump is used in the ice water mainframe, and it is often installed on the differential pressure meter. Also at the most empty! Weekly equipment such as Air Handling Unit (AHU), Make-up Air Unit (MAU), etc., try to use the fixed setting 201215823 differential pressure to match the inverter to reduce the load of the pump, often the setting value is too small. Can not meet the actual dynamic load demand and complain, in order to avoid such problems and increase the set value and generate energy-saving results discount; 6, cooling water pump power line system layout has a big impact, as much as ice pump power, use frequency converter In combination with attempts to reduce power consumption, the existence of the system's clean water head cannot be substantially energy-saving without careful deduction, and may eliminate the power consumption caused by excessive design (seven specified design); Individual use of high-efficiency equipment, although individual equipment achieves minimum energy consumption, but under the operation of other equipment, it may not be able to achieve the lowest overall energy consumption; v lack of compatibility, this source management system, only independently on individual equipment Power consumption analysis and management control, such as poorly maintained performance changes or aging (Aging) are also not found on management systems, such as c〇p do not host it can be seen, but the overall ice water (ChiUer plant) should c〇p trend is an early indicator of management (performance Index in leading). Therefore, if the relevant researchers can develop an energy-saving control method for the water-side equipment of the air-conditioning system, the problem caused by the operation of the above-mentioned air-conditioning system can be solved, and the energy-saving and carbon-reduction trend can be further improved and the integrity of the air-conditioning system can be obtained. The energy-saving control effect, that is, the invention of the overall c〇p, leads to the energy-saving invention. SUMMARY OF THE INVENTION In order to solve the above-mentioned problem of the energy-saving control of the water-side device of the present air-conditioning system, the present inventors have devoted themselves to the development of a water-side device energy-saving control method for an air-conditioning system, and finally developed the present invention. 201215823 The main purpose of the present invention is to provide an energy-saving control method for a water-side device of an air-conditioning system, in particular to a water-side device such as an ice water host, a cooling water tower, a water pump, etc., and an optimal algorithm for calculating each device in the overall air-conditioning system. The operating parameters in the state of energy consumption, and then control the operating state of each device to obtain an energy-saving control method for the water-side equipment of the air-conditioning system that optimizes the overall energy-saving effect. For the purpose of the above, the water-side equipment energy-saving control method of the air-conditioning system of the present invention is an instant automatic power-saving control for the water-side equipment of the air-conditioning system, and an unloading and switching (Staging) of the ice water host, the water-side equipment of the air-conditioning system includes At least one ice water host, at least one cooling water tower and a plurality of water pumps' the energy saving control method includes: Step A: regression analysis of the power consumption performance of the ice water host, power consumption unloading rate of the ice water host, cooling water temperature, and ice water outlet temperature The function of the three variables, using the parameter of the blessing as the basis of the power consumption calculation, drawing and (4) the data line or the relevant parameters provided by the machine manufacturer, establishing the regression equation, and correcting and calculating the Yanhai ice water host in the actual non- The power consumption value under nominal operating conditions; Step B: Regression analysis of cooling water tower performance, establish the cooling water outside air: heat transfer and mass transfer of the Michael equation (Μ_-〇η), by which; Transfer the unit number (NTU) and the water-gas ratio (6)G) of the commodity design data, and then calculate the coefficient and index in the equation; 〇Step C ··Water pump running performance Regression ^ ^ ^ ^ ^ ^ ^ Lidi gentleman you fight - * τ knife to take the pump operation data case, know the equation, and then according to the regression curve as water ^ 1 ώ ^ (QH) Portuguese reading, to ^ line The coefficients are obtained by regression calculation, and the new 201215823 speed is obtained through the system operation line and the similar law, and the inverter operation command is issued. Step D: System establishment and numerical optimization Calculation, draw the power consumption of the ice water host, regression analysis, cooling tower performance regression analysis, pump run performance regression analysis data into the system minimum total power consumption function, to analyze and obtain the system in the case of the minimum power consumption Item operation parameters; Step E: Control according to each operation parameter, and perform data feedback and store operation data database after the control operation data. Through the above method, the following advantages can be obtained in the energy-saving control of the water-side equipment of the air-conditioning system: 1. The method of the invention can be combined with the energy-saving control device and the software to achieve the efficiency of the automatic operation and reduce the input and management of the operation manpower. First, according to the actual load, the optimal unloading mode can be used to analyze and distribute the unloading amount of each ice water host to perform high-efficiency operation. 3. Establish the performance mathematical mode of the system, including the ice water main unit, cooling water tower and water pump. Performance analysis, and according to the equipment refrigeration load, external gas conditions and depreciation balance control 'to calculate the operating parameters of each device to achieve the minimum total system power consumption; Fourth, develop energy management system from the perspective of integration, in addition to individual equipment In addition to monitoring, recording and analysis of power consumption, it is also possible to integrate the performance coefficient of the total equipment and the trend of total energy consumption, which can be applied to the early management indicators. Therefore, the energy-saving control method for the water-side equipment of the air-conditioning system of the present invention, combined with the related equipment currently performing energy-saving control operations on the market, can solve the shortcomings and defects of the current air-conditioning system in energy-saving control, and it is not necessary to separately develop the 201215823 hardware preparation. The convenience and feasibility of the practical operation can be improved, and the energy-saving efficiency of the air-conditioning system can be improved by the control method, and the novelty and the progress are undoubted. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In order to make the person skilled in the art understand the object of the present invention, the preferred embodiments of the present invention will be described in detail below with reference to the drawings.
請參考第-圖所示,本發明之空㈣統水側設備節能 控制方法,係針對空調系統水側設備進行即時自動化的節 能控制以及冰水主機之卸載與開關(Staging),該空調系統 水側設備包括至少一冰水主機、至少 水泵,該節能控制方法係包括有: 一冷卻水塔以及複數 步驟A(11):冰水主機耗電性能迴歸分析,冰水主機耗 電為卸載率、冷卻水溫度及冰水出水溫度三變數之函數, 以標稱參數作為耗電計算基礎,#貞取及篩選資料庫數據或 冰水主機製造商提供的相關參數,建立迴歸適配(咖㈣方 程式’並修正及計算出該冰水主機於實際非標稱運轉狀態 下之耗電值; " 步驟B(12):冷卻水塔性能迴歸分析建立冷卻水與外 氣進行熱傳及質傳之麥克爾方程式⑽相Equat叫,藉由 該麥克爾方程式建立熱傳遞單位數(Ντυ)以及水氣比^) 之商品設計適配資料’ it而計算方程式中㈣數與指數; 據 性 4 qumii轉性能迴歸分析,取得水果運 建立迴歸方程式,再依該迴歸方程式建立流[揚程“ 能曲線作為水栗之性能曲線,並由迴歸計算求得各係 201215823 數,且透過系統運轉線以及相似定律在既定之流量需求下 求得新轉速,進而下達變頻器運轉指令; 步驟D (1 4):系統建立及數值最佳化計算,擷取冰水主 機耗電性能迴歸分析、冷卻水塔性能迴歸分析、水泵運轉 性能迴歸分析之數據代入空調系統最小總耗電函數,以分 析、取得系統在總耗電為最小的情況下之各項操作參數; 步驟E (15):依各項操作參數進行控制,並且將控制後 的運轉數據進行數據回饋及儲存運轉資料庫。 請參考第一及二圖所示,以下係針對步驟A (11)進一步 說明之,該步驟A(ll)更包括: 步驟Al (111).以標稱參數作為耗電計算基礎,擷取及 g条選資料庫數據相關參數’其中,該參數包括標稱的及實 際運轉的蒸發器出水溫度、冷凝器入水溫度 '負載率以及 耗電量; 步驟A2 (11 2):冰水主機的全載能力以及動力需求隨運 轉冰水出水溫度、冷卻水入水溫度與卸載量而變,沒有冰 水主機能在設計標稱的參數條件下運轉,因此須有相關之 校正系數做修正;藉由建立迴歸方程式並計算各迴歸方程 式之係數貫踐之,其中,該迴歸方程式包括:Please refer to the figure-picture, the air-saving (four) water-side equipment energy-saving control method of the present invention is an instant automatic power-saving control for the water-side equipment of the air-conditioning system, and the unloading and switching (Staging) of the ice water host, the air-conditioning system water The side device comprises at least one ice water host and at least a water pump. The energy saving control method comprises: a cooling water tower and a plurality of steps A (11): regression analysis of the power consumption performance of the ice water host, and the power consumption of the ice water host is an unloading rate and cooling The function of water temperature and ice water temperature three variables, using the nominal parameters as the basis for power consumption calculation, #取取 and screening database data or relevant parameters provided by the ice water host manufacturer to establish regression adaptation (Caf (four) equation' And correct and calculate the power consumption value of the ice water host in the actual non-nominal operating state; " Step B (12): regression analysis of the cooling water tower performance to establish the heat transfer and mass transfer of the cooling water and the external gas Equation (10) is called Equat, and the equation of the heat transfer unit (Ντυ) and the water-gas ratio ^) are calculated by the Michael equation to calculate the equation (4). According to the regression analysis of sex 4 qumii performance, the regression equation of fruit transport was established, and then the flow curve [head] energy curve was used as the performance curve of water chestnut, and the number of 201215823 was obtained by regression calculation. Through the system operation line and similar law, the new speed is obtained under the established flow demand, and then the inverter running command is issued; Step D (1 4): system establishment and numerical optimization calculation, taking the regression of the power consumption performance of the ice water host Analysis, cooling tower performance regression analysis, pump running performance regression analysis data into the air conditioning system minimum total power consumption function to analyze and obtain the operating parameters of the system in the case of minimum power consumption; Step E (15): Control according to various operating parameters, and carry out data feedback and storage operation database of the controlled operation data. Please refer to the first and second figures, the following is further explained for step A (11), the step A ( Ll) further includes: Step Al (111). Using the nominal parameters as the basis for power consumption calculation, and extracting and selecting data related parameters of the database data 'where The number includes the nominal and actual operating evaporator water temperature, the condenser inlet water temperature 'load rate and power consumption; Step A2 (11 2): the full capacity of the ice water main engine and the power demand with the running ice water outlet temperature, The temperature of the cooling water entering the water and the amount of unloading change. No ice water main unit can operate under the condition of designing the nominal parameters. Therefore, the relevant correction coefficient must be used for correction; by establishing the regression equation and calculating the coefficient of each regression equation. , wherein the regression equation includes:
Ecap=QF,0^QFn 五"Μ為冰水出水溫度及冷卻水溫度偏離標稱溫度值之 函數,以雙二次方程式計算如下: /(ΔΤ,,ΔΤ2) = α〇 +αχΔΆ +〇2Δτ2 +α^ +α^ +α^ΔΤΔΤ^ +α()ΔΤ2ΔΤ2 10 201215823 其中’五cap為全載冷凍能力修正係數; 込。為實際運轉溫度下之全載冷凍能力; β/·-+"為標稱冷;東能力; 為標稱之蒸發器出口水溫與冰水主機實際蒸 發器出口水溫之差值; △I為標稱之冷凝器入口水溫與冰水主機實際冷 凝器入口水溫之差值;Ecap=QF,0^QFn Five"Μ is a function of the ice water outlet temperature and the cooling water temperature deviating from the nominal temperature value, calculated as a quadratic equation as follows: /(ΔΤ,,ΔΤ2) = α〇+αχΔΆ +〇 2Δτ2 +α^ +α^ +α^ΔΤΔΤ^ +α()ΔΤ2ΔΤ2 10 201215823 where 'five cap is the correction coefficient of full-load refrigeration capacity; 込. The full-load refrigeration capacity at the actual operating temperature; β/·-+" is the nominal cold; East capacity; the difference between the nominal evaporator outlet water temperature and the actual evaporator outlet water temperature of the ice water host; I is the difference between the nominal condenser inlet water temperature and the actual condenser inlet water temperature of the ice water host;
Ep〇w - Pf ·〇 ’ Pp·η 五為冰水出水溫度及冷卻水溫度偏離標稱溫度值之 函數,以雙二次方程式計算如下:Ep〇w - Pf ·〇 ′ Pp·η Five is the function of the ice water outlet temperature and the cooling water temperature deviating from the nominal temperature value, calculated as a quadratic equation as follows:
Epow = f(ATx ,ΔΤ2 )^b〇+ b[AT, + b2ATx2 + b3AT2 + bAAT} + b5ATxAT2 + 其中,五為非標稱全載冷凍能力下之電力係數; 4。為實際運轉溫度下之全載耗電力; 為標稱全載耗電力; 為標稱之蒸發器出口水溫與冰水主機實際蒸 發器出口水溫之差值; … 叫為標稱之冷凝器入口水溫與冰水主機實際冷 凝器入口水溫之差值; E-partial = Ppartial. PF 〇 fiparnd為卸載率之函數,以二次方程式計算如下. Epartial = f(PLR) =Ctf+ c,xPiR-\- c 2 x P L R2 其中’ Eparna/為部分負载之耗電力比率; 201215823 尸pari/fl/.o為貫際部分負載耗電力; 尸F.。為非仏稱實際全載耗電力; ΡΛΛ為卸載率; PLR=Qch^QF〇= Qch^(QF.nxEcap); 2d為冰機實際運轉冷凍量; 忍為標稱狀態下的全載耗電量; 步驟A3 (113):依照實際運轉數據,以下式修正及計算 出運轉狀態下之耗電值 ^*ch ~ E c ap^· E poyv^· E part iaiX P p. n 其中,A為運轉狀態下之冰水主機耗電值; 步驟A4(114):驗證各個迴歸適配係數經統計學之t檢 定以確認其有效性,否則回到步驟A丨(丨丨丨); 其中’該步驟A⑴)係可於預定時間π,依據各項參數 的實際量測值存人運轉資料庫,依據此資料庫對各迴歸方 程式之係數進行自我修正係數之動作,即時更新各迴歸方 程式,以提升該步驟Α⑼之冰水主機耗電性能迴歸分 可信度; 請參考第一及三圖所示,以下係針對步驟B (12)進一步 說明之’該步驟B (12)更包括: , 步驟B1 (121):建立冷卻水與外氣進行熱傳及f傳之麥 克爾方程式(Merkel Equation)Epow = f(ATx , ΔΤ2 )^b〇+ b[AT, + b2ATx2 + b3AT2 + bAAT} + b5ATxAT2 + where five is the power factor under the non-nominal full-load freezing capacity; The total load power consumption at the actual operating temperature; the nominal full load power consumption; the difference between the nominal evaporator outlet water temperature and the actual evaporator outlet water temperature of the ice water host; ... is called the nominal condenser The difference between the inlet water temperature and the actual condenser inlet water temperature of the ice water host; E-partial = Ppartial. PF 〇fiparnd is a function of the unloading rate and is calculated as a quadratic equation as follows. Epartial = f(PLR) = Ctf+ c, xPiR -\- c 2 x PL R2 where 'Eparna/ is the power consumption ratio of the partial load; 201215823 corpse pari/fl/.o is the power consumption of the partial load; corpse F. For non-nickname actual full-load power consumption; ΡΛΛ is the unloading rate; PLR=Qch^QF〇= Qch^(QF.nxEcap); 2d is the actual running refrigeration capacity of the ice machine; endurance is the full-load power consumption under the nominal state Step; Step A3 (113): According to the actual operation data, the following formula corrects and calculates the power consumption value in the operating state ^*ch ~ E c ap^· E poyv^· E part iaiX P p. n where A is The consumption value of the ice water host in the running state; Step A4 (114): verify that each regression adaptation coefficient is statistically verified to confirm its validity, otherwise return to step A丨(丨丨丨); Step A(1)) can save the operation data base according to the actual measurement value of each parameter at a predetermined time π, and perform self-correction coefficient action on the coefficients of each regression equation according to the data base, and instantly update each regression equation to improve The power consumption performance of the ice water host in this step Α(9) is returned to the reliability; please refer to the first and third figures, the following is further explained in step B (12). The step B (12) further includes: , step B1 (121): Establishing the Michael equation for the heat transfer and f transfer of cooling water and external air Merkel Equation)
KVLKVL
NTU f2 C〇 Γ ~^-dt h hf-ha 12 201215823 其中,NTU為熱傳遞單位數; 為冷卻水塔特性值; 為冷卻水比熱值; Y為水滴境面空氣膜焓(Enthalpy)值; \為濕空氣熱烚值; ί為水塔内水溫; 步驟Β2 (122):由資料庫擷取相關參數,代入 方程式,其中’該參數包括冷卻水塔之進出口水/麥克爾 乾濕球溫度、冷卻水塔之循環水量以及空氣流量.外氣 步驟Β3(123):以數值積分法求得各組數據之執值 位數值,在本實施例中,係使用梯形數 :傳遞單 之; ^似積分法進行 建立下列運轉特 步驟B4 (124):在熱值平衡的前提下 性關係式NTU f2 C〇Γ ~^-dt h hf-ha 12 201215823 where NTU is the number of heat transfer units; is the characteristic value of the cooling tower; is the specific heat value of the cooling water; Y is the Enthalpy value of the water surface of the water droplet;烚 is the water temperature in the wet air; ί is the water temperature in the water tower; Step Β 2 (122): The relevant parameters are taken from the database and substituted into the equation, where 'this parameter includes the inlet and outlet water of the cooling tower / the temperature of the Michael dry wet bulb, cooling The circulating water volume of the water tower and the air flow rate. External gas step Β 3 (123): The numerical value of the value of each set of data is obtained by numerical integration method. In this embodiment, the trapezoidal number is used: the transfer order is used; Perform the following operational steps B4 (124): Sexual relations under the premise of calorific value balance
KvL-cmn 其中,必%為冷卻水塔特性值; %為水氣比; C、-«為試驗求得之係數與相 步驟B5 (125):建立 數; wn/與%之適配資料表; 步驟B6(126):迴歸求解c及值。 ’ C (13)進一步 請參考第一及四圖所示,以下係針對步月 說明之,該步驟C (13)更包括: 13 201215823 流二==::=::=KvL-cmn where, must be the cooling tower characteristic value; % is the water-gas ratio; C, -« is the coefficient obtained by the test and the phase step B5 (125): the establishment number; the matching data table of wn/%; Step B6 (126): Regression solves c and the value. ‘C (13) Further Please refer to the first and fourth figures. The following is for the step month. The step C (13) further includes: 13 201215823 Stream 2 ==::=::=
Hd =αιΩ〇 +aiQ〇+a〇 ..........⑴ 其中’ /f〇為設計揚程; 么為設計流量; 步驟c2(u2).m^之設特程與設計流量 構水泵及配合系統之設計運轉峻 存在,設靜水頭為::聲如果有靜Μ 數值、; 、…他+凡’並且求得係 步驟C3 (133):取得規 令mM相^ /見%回饋即時差壓數據(」P)及水 ’ ’ Ί)’運轉頻率⑷與標稱頻率之比即轉速 比㈣,且水果壓差㈣即等於水系輪出水頭⑻; 步驟C4 (134):以相似定律 + /7-^式(1)即得水泵流量 g = :fll 〜土 2a2 ' 其中’ 2為即時流量亦即系統需求水量; 步驟C5(U5):將” C1 (131)所求得 α。及步驟C3(133)所求得 值°2、〇'、 之水及方以,^ 、數據Η、%代人步驟C4 (134) 之X泵方転式求传即時流量0 ; 步驟C6⑽^以㈣…叫切之 叫35)求得之⑽,代入步驟 / ^驟 义’求得//,值; 步驟C7 (137):以相似定律建構另—水装方程式 201215823 並且將步驟C 1 ( 1 3 1)所求得之α。、〇|、&,步驟匚5 (1 35) 所求得之0,步驟C6 (136)所求得之孖,,代入該水泵方程式, 以求得新轉速比,進而求取新的馬達運轉頻率; 步驟C8 (138).以新的馬達運轉頻率下達水泉驅動馬達 變頻器運轉指令。 請參考第一及五圖所示,以下係針對步驟D (14)進一步 說明之,該步驟D (14)更包括: 步驟D1 (141):擷取冰水主機耗電性能迴歸分析、冷卻 水塔性能迴歸分析 '水泵運轉性能迴歸分析之數據,代入 空調系統最小總耗電函數 mitl' Pkw +Ppj +PcLl) /=1 /、中,4為空調冰水廠系統最小化總耗電值函數; A為冰水主機耗電值; 弋為水果耗電值; 〜π々π不冷耗電值; ζ·下標,為各個冰水機、泵、冷卻水塔 限制鉻驟D2 042).依空調系統架構建立總耗電函數的相 限制條件,該限制條件包括: 入二=主機冷束負載吸收之熱量及輸入功及冷㈣ 產生之熱量必須等於冷卻水塔所帶走之熱量; 15 201215823 2 ·…傳遞單位數值與冷卻水塔運轉特性值相等; 3. 王。卩冰水主機所提供之冷凍能量總和必須等於空調 系統負荷需求之冷;;東量; 4. 冰水主機負載卸載率、冰水與冷卻水流量以及冰水與 :卻水溫度必須於正常操作範圍内,此範圍遵守商品規 I巳各個負載卸載率超出允許範圍將促使加減機(String); 5 _水泵運轉於正常設計操作範圍内,此範圍遵守商品規 φ 範,超出範圍促使加減機; 6:冷郃水塔風車運轉於正常操作範圍内,此範圍遵守商 品規範,超出範圍促使加減機; 7. 冷部水塔出水溫高於外氣濕球溫度之臨界值攝氏3 度’亦即趨近溫度要大於3度; 8. 冷卻水量等於冰水主機冷^載、輪人功及冷卻水泉 輸^功之總合除以水比熱及最大水溫差之乘積;冷卻水量 藝不得小於最小冰水主機允許最小流量。 步驟D3(143): 取冰水出、人水溫度及流量,透過冷 凍噸熱®之換算計算空調負荷冷凍噸,冷凍噸熱量=冰水 流量Q X冰水密度ρχ冰水人出水溫差χ冰水平均比孰Hd =αιΩ〇+aiQ〇+a〇..........(1) where ' /f〇 is the design head; what is the design flow; step c2(u2).m^ set the special course and design flow The design and operation of the water pump and the matching system are superb. The static head is:: If there is a static value,;,...He +fan' and the step C3 (133) is obtained: Get the mM phase ^ / see % Feedback of the instantaneous differential pressure data ("P) and water ' ' Ί) 'the operating frequency (4) and the nominal frequency ratio is the speed ratio (four), and the fruit pressure difference (four) is equal to the water system water head (8); Step C4 (134): The law of similarity + / 7 - ^ (1) is the pump flow g = : fll ~ soil 2a2 ' where ' 2 is the instantaneous flow, that is, the system demand water; Step C5 (U5): will be "C1 (131) α and the value obtained in step C3 (133) °2, 〇 ', water and square, ^, data Η, % generation step C4 (134) X pump square 求 instant flow 0; C6(10)^(4)...called cut 35)) (10), substituting step / ^ sudden meaning 'required //, value; step C7 (137): construct another water-filled equation 201215823 with similar law and step C 1 ( 1 3 1) , 〇|, &, step (5 (1 35), 0, step C6 (136), then, enter the pump equation to find the new speed ratio, and then seek a new Motor running frequency; Step C8 (138). The water spring drive motor inverter running command is issued at the new motor running frequency. Please refer to the first and fifth figures. The following is further explained for step D (14), step D (14) Further includes: Step D1 (141): Retrieval analysis of power consumption performance of ice water host, regression analysis of cooling tower performance, regression analysis of pump operation performance, and minimum total power consumption function of air conditioning system mitl' Pkw + Ppj +PcLl) /=1 /, medium, 4 is the function of minimizing the total power consumption value of the air-conditioning chilled water plant system; A is the power consumption value of the ice water main unit; 弋 is the energy consumption value of the fruit; 々π々π is the cold power consumption value ; ζ · subscript, for each chiller, pump, cooling tower limit chromium D2 042). According to the air conditioning system architecture to establish the total power consumption of the phase limit conditions, the constraints include: into the second = host cold beam load absorption The heat and input work and the heat (4) must generate heat equal to the cooling tower The heat taken away; 15 201215823 2 ·...The value of the transfer unit is equal to the running characteristic value of the cooling tower; 3. The sum of the freezing energy provided by the host of the ice water must be equal to the cold demand of the air conditioning system; The ice water main engine load unloading rate, ice water and cooling water flow, and ice water and water temperature must be within the normal operating range. This range complies with the commodity regulations. 巳 Each load unloading rate exceeds the allowable range will promote the addition and subtraction (string); 5 _The pump runs within the normal design operation range. This range complies with the commodity specification φ, and the range is out of range to promote the addition and subtraction. 6: The cold water tower windmill runs within the normal operating range, this range complies with the commodity specification, and the range is extended to promote the addition and subtraction; 7. The outlet water temperature of the cold water tower is higher than the critical value of the external wet bulb temperature by 3 degrees Celsius', that is, the approaching temperature is greater than 3 degrees; 8. The cooling water volume is equal to the ice water main engine cold load, the wheel manpower and the cooling water spring loss The sum of the work is divided by the product of the specific heat of the water and the maximum water temperature; the cooling water quantity must not be less than the minimum flow allowed by the minimum ice water host. Step D3 (143): Take ice water, human water temperature and flow rate, calculate the air conditioning load by the conversion of the frozen tonnage®, freeze the tons of heat = ice water flow QX ice water density ρ χ ice water effluent temperature difference χ ice level Comparison
Cp ; 步驟D4 (144)··假設冷卻料風扇料,讀值分析最 小化計算法將步驟m之函數及步驟D2及步驟D3之限制 條件計算空調系統最小總耗電函數,並得到各冰水主機分 配之卸載值、冷卻水進出溫度、水果轉速以及總耗電值; 16 201215823 步驟D5 (145):將不同之冷卻水塔風扇轉速下之相對冷 卻水溫度計算結果建立成資料表,使電力量為冷卻水溫度7 之二次項函數’微分此函數可取得最低總系統粍電值之冷 卻水溫度操作參數,並轉而為溫度控制之重置指令。 、綜合以上所述,本發明之空調系統水側設備節能控制 方法係可搭目&電錶、溫度計、壓力計、流量計以及外氣溫 渥度計等外部量測裝置,取得各設備之運轉相關數據,藉 以進行各項設備之耗電性能迴歸分析與計算,求得各項迴 歸適配係數以及建構系統模型所需要之各項數值,接著進 行整體空調系統總耗電量最小化之計算後,獲得各項設備 之操作參數,並且依據各操作參數下達控制指令,使得整 體空調系統在本發明之空調系統水側設備節能控制方法的 調控下,能夠獲得整體耗電力極小化之效能。 除此之外,在本發明之空調系統水側設備節能控制方 法的控制過程令,各項設備耗電性能迴歸分析之各項係 數,係於既定週期依據各項設備實際運作狀態自動進行係 數修正動作,以將各項設備之迴歸模型依據設備實際運作 狀態進行更新,並且依據更新後之迴歸模型進一步推算而 取得各項操作參數,藉此,將可使得所下達的控制指令更 貼近於貫際運作狀況,進而提升節能控制之效率。 故藉由本發明之空調系統水側設備節能控制方法,可 透過控制冰水主機、冷卻水塔、水泵等設備,以全系統耗 此考$的方式,採用最佳化演算法計算各項設備在整體空 調系統最佳耗能狀態下的運轉參數,亦即,計算出整體空 17 201215823 調^耗能極小化之運轉參t 卿為控制 才曰令’自動控制各項設備在符合空調系統負载需求下,以 最節能料m切行運作,惟^料者,料本發明 之較佳實施例’當不能以此限定本發明實施之範圍;故, 凡依本發明中_專利n圍及發明說明書内$所作之簡單的 等效變化與修飾,皆應仍屬本發明專利涵蓋之範圍内。 【圖式簡單說明】 第一圖為本發明空調系統水側設備節能控制方法之方 法流程圖。 第二圖為本發明空調系統水側設備節能控制方法之步 驟A的細部方法流程圖。 第二圖為本發明空調系統水側設備節能控制方法之步 驟B的細部方法流程圖。 第四圖為本發明空調系統水側設備節能控制方法之步 驟C的細部方法流程圖。 第五圖為本發明空調系統水側s又備郎也控制方法之步 驟D的細部方法流程圖。 【主要元件符號說明】 (11) 步驟A (11丨)步驟A1 (112) 步驟 A2 (113) 步驟 A3 (114) 步驟 A4Cp ; Step D4 (144)·· Assume the cooling fan material, the reading value analysis minimization calculation method calculates the minimum total power consumption function of the air conditioning system by the function of step m and the limiting conditions of step D2 and step D3, and obtains each ice water The unloading value of the main unit, the cooling water inlet and outlet temperature, the fruit speed and the total power consumption value; 16 201215823 Step D5 (145): The calculation results of the relative cooling water temperature under different cooling tower fan speeds are established as data sheets to make the electric quantity For the secondary function of the cooling water temperature 7 'differentiate this function, the cooling water temperature operating parameter of the lowest total system braking value can be obtained and converted to the temperature control reset command. According to the above, the water-side equipment energy-saving control method of the air-conditioning system of the present invention can be used for external operation measuring devices such as an electric meter, a thermometer, a pressure gauge, a flow meter, and an external temperature meter. Data, by which the regression analysis and calculation of the power consumption performance of each device are performed, and various regression adaptation coefficients and various values required for constructing the system model are obtained, and then the calculation of the total power consumption of the overall air conditioning system is minimized. The operating parameters of each device are obtained, and the control commands are issued according to the respective operating parameters, so that the overall air conditioning system can obtain the performance of minimizing the overall power consumption under the control of the water-saving energy-saving control method of the air-conditioning system of the present invention. In addition, in the control process of the water-side equipment energy-saving control method of the air-conditioning system of the present invention, the coefficients of the regression analysis of the power consumption performance of each equipment are automatically corrected according to the actual operation state of each equipment in a predetermined period. Action, in order to update the regression model of each device according to the actual operating state of the device, and further calculate the operating parameters according to the updated regression model, thereby making the issued control command closer to the continuous Operational conditions, thereby improving the efficiency of energy conservation control. Therefore, by the energy-saving control method for the water-side equipment of the air-conditioning system of the present invention, the equipment such as the ice water main engine, the cooling water tower, the water pump, and the like can be controlled, and the entire system consumes the cost of the test, and the optimized algorithm is used to calculate the overall equipment. The operating parameters of the air-conditioning system under the optimal energy consumption state, that is, the calculation of the overall air 17 201215823 adjustment of the energy consumption of the operation of the minimization of the control of the Qing dynasty to control the equipment automatically control the air conditioning system load requirements The operation of the most energy-saving material m is carried out, but the preferred embodiment of the present invention is not limited to the scope of the present invention; therefore, according to the invention, the patent and the invention specification are The simple equivalent changes and modifications made by $ shall remain within the scope of the patent of the present invention. [Simple description of the drawings] The first figure is a flow chart of the method for controlling the energy saving of the water side equipment of the air conditioning system of the present invention. The second figure is a flow chart of the detailed method of the step A of the water-side equipment energy-saving control method of the air-conditioning system of the present invention. The second figure is a flow chart of the detailed method of the step B of the water-side equipment energy-saving control method of the air-conditioning system of the present invention. The fourth figure is a flow chart of the detailed method of the step C of the water-side equipment energy-saving control method of the air-conditioning system of the present invention. The fifth figure is a flow chart of the detailed method of the step D of the water side s and the control method of the air conditioning system of the present invention. [Explanation of main component symbols] (11) Step A (11丨) Step A1 (112) Step A2 (113) Step A3 (114) Step A4
(12) 步驟B 18 201215823 (121) 步驟 B1 (122) 步驟 B2 (123) 步驟 B3 (124) 步驟 B4 (125) 步驟 B5 (126) 步驟 B6(12) Step B 18 201215823 (121) Step B1 (122) Step B2 (123) Step B3 (124) Step B4 (125) Step B5 (126) Step B6
(13) 步驟C (1 3 1)步驟 C 1 # (132)步驟 C2 (133) 步驟 C3 (134) 步驟 C4 (135) 步驟 C5 (136) 步驟 C6 (137) 步驟 C7 (138) 步驟 C8(13) Step C (1 3 1) Step C 1 # (132)Step C2 (133) Step C3 (134) Step C4 (135) Step C5 (136) Step C6 (137) Step C7 (138) Step C8
(14) 步驟D • ( 1 4 1)步驟 D 1 (142) 步驟 D2 (143) 步驟 D3 (144) 步驟 D4 (145) 步驟 D5(14) Step D • ( 1 4 1) Step D 1 (142) Step D2 (143) Step D3 (144) Step D4 (145) Step D5
(15) 步驟E(15) Step E
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW99133855A TW201215823A (en) | 2010-10-05 | 2010-10-05 | Water-side facility energy-saving control method of air conditioner system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW99133855A TW201215823A (en) | 2010-10-05 | 2010-10-05 | Water-side facility energy-saving control method of air conditioner system |
Publications (2)
Publication Number | Publication Date |
---|---|
TW201215823A true TW201215823A (en) | 2012-04-16 |
TWI421455B TWI421455B (en) | 2014-01-01 |
Family
ID=46786962
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW99133855A TW201215823A (en) | 2010-10-05 | 2010-10-05 | Water-side facility energy-saving control method of air conditioner system |
Country Status (1)
Country | Link |
---|---|
TW (1) | TW201215823A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI499996B (en) * | 2013-04-03 | 2015-09-11 | ||
TWI551836B (en) * | 2013-04-03 | 2016-10-01 | 友達光電股份有限公司 | Control method for flow balance |
US11486597B2 (en) | 2019-04-03 | 2022-11-01 | Chicony Power Technology Co., Ltd. | Control method for air conditioning system |
US11573026B2 (en) | 2019-04-03 | 2023-02-07 | Chicony Power Technology Co., Ltd. | Air handling unit control system |
CN117450630A (en) * | 2023-12-21 | 2024-01-26 | 上海安巢在线控制技术股份有限公司 | Air conditioner energy consumption control method and system based on cold water pump flow |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI565916B (en) * | 2014-08-06 | 2017-01-11 | 魏榮宗 | Air conditioners policy optimization control system, control device and method thereof |
TWI619910B (en) * | 2017-01-23 | 2018-04-01 | 神達電腦股份有限公司 | Ice water host control method |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1796884A (en) * | 2004-12-30 | 2006-07-05 | 杭州华碧能源科技有限公司 | On site control device for cold water main unit in energy saving control system of central air conditioner |
CN100578106C (en) * | 2007-07-06 | 2010-01-06 | 北京时代嘉华环境控制科技有限公司 | Central air-conditioning refrigeration station quality control method and system |
TWI364519B (en) * | 2009-07-30 | 2012-05-21 | Chunghwa Telecom Co Ltd | Function detection method |
CN101761992B (en) * | 2010-01-20 | 2012-06-27 | 重庆汉宾光电节能技术有限公司 | Central air-conditioner energy-saving system |
-
2010
- 2010-10-05 TW TW99133855A patent/TW201215823A/en unknown
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI499996B (en) * | 2013-04-03 | 2015-09-11 | ||
TWI551836B (en) * | 2013-04-03 | 2016-10-01 | 友達光電股份有限公司 | Control method for flow balance |
US11486597B2 (en) | 2019-04-03 | 2022-11-01 | Chicony Power Technology Co., Ltd. | Control method for air conditioning system |
US11573026B2 (en) | 2019-04-03 | 2023-02-07 | Chicony Power Technology Co., Ltd. | Air handling unit control system |
CN117450630A (en) * | 2023-12-21 | 2024-01-26 | 上海安巢在线控制技术股份有限公司 | Air conditioner energy consumption control method and system based on cold water pump flow |
CN117450630B (en) * | 2023-12-21 | 2024-02-27 | 上海安巢在线控制技术股份有限公司 | Air conditioner energy consumption control method and system based on cold water pump flow |
Also Published As
Publication number | Publication date |
---|---|
TWI421455B (en) | 2014-01-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101975436B (en) | Energy-saving control method for water-side equipment of air-conditioning system | |
TW201215823A (en) | Water-side facility energy-saving control method of air conditioner system | |
Shan et al. | Development and validation of an effective and robust chiller sequence control strategy using data-driven models | |
CN105004002B (en) | Energy-saving control system and method for central air conditioning cooling water system | |
Hughes et al. | A review of sustainable cooling technologies in buildings | |
CN100443814C (en) | Adjustment method of regional central cooling cooling capacity adjustment system | |
CN107314498A (en) | The efficiency on-line monitoring method and device of a kind of central air conditioner system | |
CN102305451B (en) | Mixed ground source heat pump monitoring system and method based on health assessment technology | |
CN105973626A (en) | Evaluation and prediction method and apparatus for operation energy efficiency of host of central air-conditioning system | |
CN111027181B (en) | A method for evaluating energy consumption of central air-conditioning chillers based on dynamic energy efficiency parameters | |
CN104197446A (en) | Dynamic double-cold-source pre-cooling energy-saving air conditioning system | |
CN104121666A (en) | Hourly frequency conversion air supplying system and control method for central air conditioning ventilation system | |
CN104048390A (en) | Method for diagnosing energy efficiency of air-cooled heat-pump central air-conditioning unit | |
CN103234256A (en) | Dynamic load tracking central air conditioner cold source global optimum energy-saving control method | |
CN106951630A (en) | A kind of refrigeration host computer device selection method being applied in air-conditioning system | |
CN205717751U (en) | A kind of efficient control system of central air-conditioning Cooling and Heat Source machine room | |
CN106931600B (en) | A method of for determining building air-conditioning pump energy saving operating scheme | |
CN104089379A (en) | Method for assessing efficiency of underground powerhouse ventilating and air conditioning system | |
CN105299846B (en) | A kind of computer room group control device optimized based on global association and its control method | |
CN202511544U (en) | Cooling water pump energy-saving frequency conversion starting device of water-cooled refrigeration system | |
CN114110939B (en) | Comprehensive performance and health assessment device for portable central air conditioning system | |
Dai et al. | Energy-saving control strategy for the joint operation of multiple ground source heat pumps system based on TRNSYS: A research study | |
TWM397498U (en) | Energy saving control system for air conditioning equipment | |
Bai et al. | Performance assessment and improvement of district cooling system: A case study of enhancing energy efficiency of hospital buildings | |
CN201764636U (en) | Air Conditioning Equipment Energy Saving Control System |