201027014 „六、發明說明： 【發明所屬之技術領域】 本發明係關於一種空調耗能管理方法，更詳而言之， • 係關於一種應用智慧型演算法估算優化之空調裝置攤分比 - 例之空調耗能管理方法。 【先前技術】 隨著科技進步與文化發展，大多數的產業開發及經濟 活動均需要消耗大量的能源。然而，能源並非取之不盡用 之不竭，自從工業革命開始進行能源大規模開採後，地球 能源的儲量到底還剩多少，科學家至今也沒有確切答案。 再者，任何形式的能源消耗皆會帶來環境污染，由於近年 來環保意識抬頭，在國際能源環境多變狀況之下，在面對 溫室效應、能源高價格趨勢以及傳統能源的耗竭等種種問 題時，對於如何節能及提昇能源效率，遂成為全球最關心 的議題。 ❹ 依據台電資料顯示，我國住宅與商業兩部門之耗電量 與曰倶增，已達到總耗電量的三成，其中空調與照明耗電 又佔了一半以上，顯見空調系統是電力消耗的最主要來 源。目前習知技術中針對空調系統的節能方法主要可從兩 個方面著手，分別為硬體設備改善以及軟體方面改進。 硬體設備的改善例如加裝變頻器、高效率馬達及/或進 相補償電容器以進行節能。以變頻器為例，於硬體部分加 裝變頻器所開發之變頻式空調設備，係利用改.善壓縮機之 運作方法以維持人體舒適的溫度，避免了以往非變頻式空 4 111112 201027014 =縮機於以開啟與_的方式調空溫度’造成能源浪 、另外，軟體方面的改進例如加強軟體對έ '、 管理調控的效能以大幅降低能源費==，與 .改善較偏重於抑制耗能例如行為=、=二’軟體的 .值（Threshold)監控，或偏重於降低 -般而言’硬體設備的改善 時：太：需量。 軟體方式節能所投資的成本較:氏的^與成本較肉，而以 c為管理及/或排程設; =空間以及使用特性來調整空調线運作之時間、溫产 二或風量，例如會議室與辦公室所設定之空調排程不盡： 赫’或例如控制用電量’超過某特定值空調系統便不再運 早寻0 然而，上述習知技術存在以下問題： ⑴事後才能得知空調系統所耗費的電量及所節省的 電費，無法事先預期與控制節約費用比例或金額。 ❿ （2)未具備回職制，因此無法㈣修正空調系統的運 作效率，需待收到電費賬單後才能進一步設定與調整空調 排程或行為。 縱上所述，如何提供一種空調耗能管理方法，以達到 事前預估耗能額度或金額'建立系統回饋機制、管理監控 工凋系統以防止能源過度浪費，俾使空調系統進行有效率 地運作之目的，遂成為目前亟待解決的課題。 【發明内容】 鑑於上述習知技術之缺點，本發明之目的在於提供一 5 111112 201027014 :應：：空調系統的電能管理監控裳置之空調耗能管理方 型、1!=先估計的耗能額度設定節能目才票，並透過智慧 二：=攤分比例，最後，建立系統回饋機制動態地 凋正攤刀比例，以防止能源過度浪費， 有效率地運作。 H调糸統進订 上述目的或其他目的’本發明槌供-種空調耗 應用於空調系統之電能管理•裝置，該空 ❹ ❹ Γ贫二Γ法係包括以下步驟：⑴令該電能管理監控裝 運作資料計算耗能估算值；（2)_該耗能估算 «又^即此目標值；⑶依據該節能目標值計算攤分比例； (4)令該空調系統依據該攤分比例進行運作.f ^ 〜丁運作，(5)令該電能管 及;^ ^ 統進行^以祕實際耗能值；以 及⑹胸该貫際耗能值是否符合該節能目標值，， 則返回步驟(4)柄钱依據該攤分一進行運作° ’ 右不符合’則返回步驟⑶重新計算另—組攤分比例。 於一較佳態樣包括中，步驟（1)復包括：（Μ)κ計算該 耗能估算值之前，取得該空調系統之設備參數及該環^參 數，以及（1 -2)依據該設備參數以及該環境參數決定該設備 運作資料，且步驟(3)復包括（3-1)今該電能管理監控裝置選 擇推論規則；以及(3-2)依據該推論規則以智慧型演算法叶 算該攤分比例。 相較於習知技術，本發明所提供之空調耗能管理方 法’先計异耗能估算值以設定節能目標值’利用攤分比例 對空調系統進行監控及優化控制，並修正攤分比例以使空 111112 6 201027014 調系統之運作達到節能目標值，因此解決習知技術中無法 事前預期控制節約費用比例或金額、無法即時修正空調系 統之節能方法以及無法有效管理監控空調系統之缺點。 *【實施方式】 - 以下係藉由特定的具體實施例說明本發明之實施方 式，熟悉此技術之人士可由本說明書所揭示之内容輕易地 了解本發明之其他優點與功效。本發明亦可藉由其他不同 的具體實施例加以施行或應用，本說明書中的各項細節亦 可基於不同觀點與應用，在不悖離本發明之精神下進行各 種修飾與變更。 請參閱第1圖，其係本發明之空調耗能管理方法之基 本流程圖，如第1圖所示，本發明之空調耗能管理方法包 括以下步驟。 於步驟S11中，令電能管理監控裝置依據設備運作資 料計算耗能估算值，其中，設備運作資料之決定係依據設 ❹備參數以及環境參數。接著進至步驟S12。 於步驟S12中，依據耗能估算值設定節能目標值，其 中，該節能目標值依據空調系統之使用者所能接受之舒適 範圍所設定。接著進至步驟S13。 於步驟S13中，依據該節能目標值計算攤分比例。電 能管理監控裝置會採用至少一組推論規則進行演算以獲得 空調系統中各個裝置的攤分比例。接著進至步驟S14。 於步驟S14中，令空調系統依據該攤分比例進行運 作。接著進至步驟S15。 201027014 於步’驟S15 ^ ’令電能管理監控裝置對空調系統進行 &控以獲彳于貫際耗能值。透過實際耗能值與節能目標值的 比較可了解該攤分比例是否可對該空調系統進行優化控 *制。接著進至步驟S16。 於步驟S16中，判斷該實際耗能值是否符合該節能目 標值，若該實際耗能值符合該節能目標值，則返回步驟(4) 令空調系統依據該攤分比例持續進行運作，若該實際耗能 值不符合該節能目標值，則返回步驟（3)重新計算另一組攤 分比例，其中，對於實際耗能值是否符合節能目標值的判 斷，可設定一誤差範圍，若實際耗能值落入節能目標值之 特定誤差範圍内，即判斷該實際耗能值符合該節能目標值。 "具體實施時，空調系統可先運作一段時間以記錄環境 蒼數與設備參數i依據該環境參數與該設備參數計算耗能 估算值，接著由使用者自行設定節能目標值，例如將7〇% 的耗能估算值定為節能目標值，此時空調系統需決定如何 ❹減少此30%的耗電量，因此電能管理監控裝置利用預設之 推論規則來計算攤分比例，並依據該嫌分比例對空調系統 進行優化控制。本發明之空調管 ♦ ns理耗能方法亦具有回饋機 制，當空調系統運作時，電能管g 里i控装置會監控空調系 統以即時得到實際耗能值，若該實際耗能值落入該節能目 標值之特定誤差範圍内（例如設定誤i 5%為可接收之範201027014 „6. Description of the invention: [Technical field to which the invention pertains] The present invention relates to a method for managing energy consumption of an air conditioner, and more particularly, relates to an air conditioner distribution ratio that is estimated and optimized by applying an intelligent algorithm - Air conditioning energy management method [Prior technology] With the advancement of science and technology and cultural development, most industrial development and economic activities require a large amount of energy. However, energy is not inexhaustible, since the industrial revolution After the start of large-scale energy mining, there is still a lot of reserves of the earth's energy. Scientists have no exact answer so far. Moreover, any form of energy consumption will bring environmental pollution, due to the rising awareness of environmental protection in recent years, in the international energy environment. Under the changing conditions, in the face of the greenhouse effect, high energy price trends and the exhaustion of traditional energy sources, how to save energy and improve energy efficiency has become the world's most concerned issue. ❹ According to Taipower data, China's residential The power consumption and the increase in the two sectors have reached the total power consumption. 30%, of which air conditioning and lighting power consumption accounted for more than half, it is obvious that air conditioning system is the main source of power consumption. At present, the energy saving methods for air conditioning systems in the prior art can be started from two aspects, respectively, to improve hardware equipment. And improvements in software. Improvements in hardware equipment such as the installation of inverters, high-efficiency motors and/or phase-compensation capacitors for energy saving. In the case of inverters, inverter-type air conditioners developed by inverters are added to the hardware. The equipment is used to change the operating mode of the compressor to maintain the comfortable temperature of the human body, avoiding the previous non-inverted air type 4 111112 201027014 = shrinking the air in the way of opening and _ to make the energy wave, in addition, the software Improvements such as strengthening software confrontation ', managing regulation effectiveness to significantly reduce energy costs ==, and improving are more focused on suppressing energy consumption such as behavior =, = two 'software's Threshold monitoring, or biased towards Reduce - generally speaking - when the improvement of hardware equipment: too: demand. The cost of investment in software-based energy saving is better than the cost of ^ and the cost of meat, and c Management and / or scheduling; = space and use characteristics to adjust the operation time of the air-conditioning line, temperature production or air volume, such as the air-conditioning schedule set by the conference room and office: He's or for example, control power consumption' If the air conditioning system exceeds a certain value, it will not be searched for early. However, the above-mentioned conventional technologies have the following problems: (1) Afterwards, the amount of electricity consumed by the air-conditioning system and the electricity cost saved can be known, and the ratio or amount of cost savings cannot be expected and controlled in advance. ❿ (2) There is no system of return to work, so it is impossible to (4) correct the operational efficiency of the air-conditioning system, and the air-conditioning schedule or behavior can be further set and adjusted after receiving the electricity bill. In the above, how to provide an air-conditioning energy management In order to achieve the pre-estimated energy consumption amount or amount 'to establish a system feedback mechanism, to manage the monitoring system, to prevent excessive energy waste, and to enable the air-conditioning system to operate efficiently, it has become an urgent problem to be solved. SUMMARY OF THE INVENTION In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a 5 111112 201027014: should:: the power management of the air conditioning system monitors the air conditioning energy management mode of the skirt, 1! = first estimated energy consumption The quota is set to save energy, and through the wisdom 2: = share ratio, finally, establish a system feedback mechanism to dynamically slash the proportion of the knife to prevent excessive energy waste and operate efficiently. H 糸 进 进 进 进 进 ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' 空调 空调 空调 电能 电能 电能 电能 电能 电能 电能 电能Calculate the energy consumption estimate by installing the operational data; (2) _ the energy consumption estimate «also ^ the target value; (3) calculate the share ratio according to the energy-saving target value; (4) make the air-conditioning system operate according to the share ratio .f ^ ~ Ding operation, (5) to make the electric energy pipe and ^ ^ system to control the actual energy consumption value; and (6) whether the cross-sectional energy consumption value of the chest meets the energy saving target value, then return to the step (4) The handle money is operated according to the score one. 'Right non-conformity' then return to step (3) to recalculate the other-group share ratio. In a preferred aspect, the step (1) includes: (Μ) κ calculating the energy consumption estimation value, obtaining the equipment parameter of the air conditioning system and the ring parameter, and (1 - 2) according to the device The parameter and the environment parameter determine the operation data of the device, and the step (3) includes (3-1) the current power management monitoring device selects an inference rule; and (3-2) the intelligent algorithm based on the inference rule The share ratio. Compared with the prior art, the air conditioning energy management method provided by the present invention 'predicts the energy consumption target value to set the energy saving target value', uses the sharing ratio to monitor and optimize the air conditioning system, and corrects the sharing ratio. The operation of the air conditioner 111112 6 201027014 adjusts the energy-saving target value, so it solves the shortcomings of the conventional technology that cannot predict the cost-saving ratio or amount of the current control, can not immediately correct the energy-saving method of the air-conditioning system, and cannot effectively manage the air-conditioning system. *[Embodiment] - The embodiments of the present invention are described below by way of specific embodiments, and those skilled in the art can readily appreciate other advantages and effects of the present invention from the disclosure. The present invention may be embodied or applied in various other specific embodiments, and various modifications and changes may be made without departing from the spirit and scope of the invention. Referring to Fig. 1, which is a basic flowchart of the air conditioning energy management method of the present invention, as shown in Fig. 1, the air conditioning energy management method of the present invention comprises the following steps. In step S11, the power management monitoring device calculates the energy consumption estimated value according to the equipment operation data, wherein the determination of the equipment operation data is based on the setting parameter and the environmental parameter. Then it proceeds to step S12. In step S12, the energy saving target value is set according to the energy consumption estimated value, wherein the energy saving target value is set according to the comfort range acceptable to the user of the air conditioning system. Then it proceeds to step S13. In step S13, the sharing ratio is calculated according to the energy saving target value. The power management monitoring device uses at least one set of inference rules to calculate the proportion of each device in the air conditioning system. Then it proceeds to step S14. In step S14, the air conditioning system is operated in accordance with the sharing ratio. Then it proceeds to step S15. 201027014 In step 'S15 ^ ', the power management monitoring device performs & control on the air conditioning system to obtain a continuous energy consumption value. By comparing the actual energy consumption value with the energy saving target value, it can be understood whether the sharing ratio can optimize the air conditioning system. Then it proceeds to step S16. In step S16, it is determined whether the actual energy consumption value meets the energy saving target value, and if the actual energy consumption value meets the energy saving target value, returning to step (4), the air conditioning system continues to operate according to the sharing ratio, if If the actual energy consumption value does not meet the energy saving target value, return to step (3) to recalculate another group of sharing proportions, wherein, for the judgment of whether the actual energy consumption value meets the energy saving target value, an error range may be set, if the actual consumption The energy value falls within a specific error range of the energy saving target value, that is, the actual energy consumption value is judged to be in accordance with the energy saving target value. "In the specific implementation, the air conditioning system can be operated for a period of time to record the environmental number and equipment parameters i calculate the energy consumption estimated value according to the environmental parameter and the equipment parameter, and then the user sets the energy saving target value, for example, 7〇 The estimated energy consumption of % is set as the energy saving target value. At this time, the air conditioning system needs to decide how to reduce the power consumption by 30%. Therefore, the power management monitoring device uses the preset inference rules to calculate the sharing ratio, and based on the suspicion The air conditioning system is optimally controlled in proportion. The air conditioning tube of the present invention also has a feedback mechanism. When the air conditioning system is in operation, the power control unit g monitors the air conditioning system to obtain the actual energy consumption value in real time, and if the actual energy consumption value falls into the Within the specified error range of the energy-saving target value (for example, setting the error ith to 5% is acceptable)
圍）’即判斷該實際耗能值符合兮P 了口。玄即能目標值，若該實際耗 能值不符合該節能目標值，則必句$ 土 、 』义須再重新計算攤分比例， 由空調系統依據該重新計算之攤八 雜刀比例進行運作，直到達 11Π12 8 201027014 成節能目標為止。 請參閱第2圖，其係本發明之空調耗能管理方法之耗 能估算值的計算方法流程圖，如第2圖所示，耗能估算值 •的詳細計算方法包括以下步驟。 - 於步驟S110中，於計算該耗能估算值之前，取得該 空調系統之設備參數及該環境參數。接著進至步驟S111。 於步驟S111中，依據該設備參數以及環境參數決定 該設備運作資料。接著進至步驟S112。It is judged that the actual energy consumption value is consistent with 兮P. Xuan is able to target value. If the actual energy consumption value does not meet the energy saving target value, then the necessary sentence must be recalculated according to the recalculated ratio of the eight knives. Until the 11Π12 8 201027014 becomes the energy saving target. Referring to Fig. 2, which is a flow chart of a method for calculating the estimated energy consumption of the air conditioning energy management method of the present invention, as shown in Fig. 2, the detailed calculation method of the energy consumption estimation value includes the following steps. - In step S110, before calculating the energy consumption estimation value, the equipment parameters of the air conditioning system and the environmental parameters are obtained. Then it proceeds to step S111. In step S111, the device operation data is determined according to the device parameter and the environment parameter. Then it proceeds to step S112.
A v 於步驟S112中，令電能管理監控裝置依據設備運作 資料計算耗能估算值。 於一較佳實施例中，上述之設備參數可為設備運轉時 數統計、設備耗能比例紀錄、該空調糸統之設備規格及/ 或該空調系統之熱負荷需求資料。 另外，環境參數可為歷史溫度資料、歷史濕度資料、 目前溫度資料、目前濕度資料、氣象預報資料、該空調系 ❿統所在之環境室内與室外之相對溫度資料及/或相對濕度 資料。當電能管理監控裝置計算耗能估算值時，必須透過 大量的參考數據進行評估，因此，本實施例整合多種設備 參數與環境參數，使所計算的耗能估算值較能符合實施狀 況。 以下透過例示詳細列出本發明之空調耗能管理方法 所需之各種參數。 設備規格包括空調系統配置如冰水主機、冷卻水塔、 空調箱、泵浦、風機、外氣空調箱及/或壓縮機、設備之型 9 111112 201027014 號、冷凍噸數、功率因數及/或電壓以及設備之效率比值 (EER)及/或性能係數(COP)。 熱負荷需求如構造體之熱負荷（例如外牆、屋簷等）、 •產生於室内之熱負荷（例如照明、人體等）及/或滲透風之熱 ‘負荷（例如接觸外界空氣的門），亦即冷房負荷等於外部發 熱源加上室内發熱源。 上述之設備規格參數及熱負荷需求參數通常於空調 @系統裝設於建築物前已經透過實驗的方式取得，至於其他 參數，可由空調系統運作一段時間進行記錄。 設備運轉時.數統計為設備依據季節、氣候、室内外環 境溫度差及/或相對濕度以統計各設備每日運轉時數、運轉 曰數、總運轉時數及/或總運轉度數。 設備耗能比例紀錄為設備依據節、氣候、室内外環境 溫度差及/或.相對濕度以記錄各設備耗電比例，例如冰水主 機佔了 60%、冰水泵佔了 11%。 G 以上所有參數（包括其他參數）之紀錄均為了決定設備 運作資料。 具體實施時，電能管理監控裝置可依據上述參數得知 紀錄中類似的氣候狀況所應進行的空調運作，而依據所應 進行的空調運作以計算耗能估算值。 其中，電能管理監控裝置可依據耗能估算值設定最低 限值、有段節能降載及/或無段節能降載模式提供使用者作 為節能目標的選擇，舉例而言，因為空調主機運載有一定 的最低耗能（如40%的耗能估算值），過低的節能會導致主 111112 201027014 機無法開啟，因此當使用者選擇最低限值作為節能目標 時，電能管理監控裝置會將40%的耗能估算值定為節能目 標值。 • 因此，由上述實施例得以暸解本發明之空調耗能管理 • 方法具有事前預估耗能值之效果。 請參閱第3圖，其係本發明之空調耗能管理方法之攤 分比例的估算方法流程圖，如第3圖所示，本發明之設定 攤分比例之方法包括以下步驟。 於步驟S131中，令電能管理監控裝置選擇推論規則。 接著進至步驟S132。 於步驟S132中，依據該推論規則以智慧型演算法計 算攤分比例。 具體實施時，於設定節能目標值之後，電能管理監控 裝置須依據節能目標值來決定如何節能，因此選擇至少一 項推論規則以智慧型演算法計算攤分比例，以得知空調系 ©統各設備或單位時間所需減少的耗能，接著比對依據該攤 分比例進行運作所獲得之實際耗能值與原先估計之耗能估 算值，若兩者誤差超過預設值，則重新計算攤分比例。 請參閱第4A圖，其係本發明之空調耗能管理方法之 估算攤分比例的具體實施例之示意圖，如第4圖所示，攤 分的方式可為時間均攤法、時間比例攤分法、設備比例攤 分法，或採用不同的組合方式組合以上多種攤分法以進行 設計攤分的比例。 時間均攤法為依據該節能目標值以等比例縮減單位 ]]]]]2 201027014 時間之各設備之耗能，例如節能目標值為耗能估算值的 70%，則空調系統之所有設備均於單位時間内減少30%之 耗電量。 . 時間比例攤分法為依據該節能目標值利用推論規則 - 決定分配各單位時間之各設備之耗能比例，因為計價電費 有分尖峰、半尖峰、離峰費率，可計算各時段最佳攤分比 例進行能源抑制。 設備比例攤分法為依據該節能目標值利用推論規則 決定分配各設備之耗能比例’例如冰水主機最耗電’則設 定冰水主機減少較多單位時間耗電量，而風機較不粍電， 則風機運轉設定不變，空調系統之溫度可能較高但因為風 機運轉不變而使空調環境仍維持在人體感覺舒適的範圍。 因此，由上述之攤分比例可讓各設備依據該攤分比例 進行設定與動態調整以有效管理空調系統並防止能源過度 浪費。 Q 請參閱第4B圖，其係本發明之空調耗能管理方法之 推論規則的具體實施例之示意圖，如第4B圖所示，推論 規則可為外氣空調負荷計算、冷卻水塔負載計算、主機負 載計算、群組運作最佳化計算、最佳耗能平衡點計算、最 佳室内舒適度計算、室内空氣品質計算及/或需量控制計 算。 以外氣空調負荷計算為例，係透過外氣與室内的給值 差，可估算目前可能的空調負荷，例如當空調系統啟動之 後，若室外氣溫低於室内溫度時，開啟外氣風門以引進低 12 111112 201027014 T之外氣，預先冷卻室内較熱之溫度，、約3()分鐘後再 水供給室内之空調，如此可減少室内空調負荷。又例如最 佳耗能平衡點計算係參考冰水主機與冷 •卻水、@ 4 ’、 σ在不同的冷 二度广耗電率變化’低的冷卻水溫度可降低冰水主 —個最佳點㈣的“里會提^因此整體的耗電量會有 魯 質及^ί，由上述之推論規射讓空調系統在維持空气。 貝，竟舒適度之下，電能管理監控裝置 夂乳品 仃優化控制。 二10周糸统進 請參閱第4CSI’其係本㈣之空調減 曰慧型演算法的具體實施例之示意圖，其中，知彗万法之 法可為模糊控制演算&及/或類神經網路演算法=型演算 麥數或訓練(training)樣本越多、越έ ”系统之 慧型演算法的能力就越強。（正確“性越大，智 因此，由上述之智慧型演算法In step S112, the power management monitoring device calculates the energy consumption estimate based on the device operation data. In a preferred embodiment, the device parameters described above may be a device operating hours count, a device energy consumption ratio record, a device specification of the air conditioning system, and/or a heat load demand data of the air conditioning system. In addition, the environmental parameters may be historical temperature data, historical humidity data, current temperature data, current humidity data, weather forecast data, relative temperature data and/or relative humidity data of the indoor and outdoor environments in which the air conditioning system is located. When the power management monitoring device calculates the energy consumption estimate, it must be evaluated through a large amount of reference data. Therefore, the present embodiment integrates various device parameters and environmental parameters, so that the calculated energy consumption estimate is more consistent with the implementation state. The various parameters required for the air conditioning energy management method of the present invention are exemplified in detail below. Equipment specifications include air conditioning system configuration such as ice water mainframe, cooling water tower, air conditioning box, pump, fan, external air conditioning box and / or compressor, equipment type 9 111112 201027014, refrigeration tonnage, power factor and / or voltage And equipment efficiency ratio (EER) and / or coefficient of performance (COP). Thermal load requirements such as the thermal load of the structure (such as exterior walls, eaves, etc.), the thermal load generated in the room (such as lighting, human body, etc.) and/or the heat of the infiltrated wind (such as the door that contacts the outside air), That is, the cold room load is equal to the external heat source plus the indoor heat source. The above-mentioned equipment specification parameters and heat load demand parameters are usually obtained through experiments before the air conditioner @ system is installed in the building. As for other parameters, the air conditioning system can be operated for a period of time to record. When the equipment is running, the statistics are based on the season, climate, indoor and outdoor environmental temperature difference and / or relative humidity to count the daily running hours of each equipment, the number of operating hours, the total number of operating hours and / or the total operating degree. The energy consumption ratio of the equipment is recorded as the equipment according to the section, climate, indoor and outdoor environmental temperature difference and / or relative humidity to record the proportion of power consumption of each equipment, such as ice water main machine accounted for 60%, ice water pump accounted for 11%. The records of all the above parameters (including other parameters) are the equipment for determining the operation of the equipment. In the specific implementation, the power management monitoring device can learn the air conditioning operation that should be performed in the similar climatic conditions in the record according to the above parameters, and calculate the energy consumption estimate according to the air conditioning operation that should be performed. Among them, the power management monitoring device can set the minimum limit according to the energy consumption estimation value, the segment energy saving load reduction and/or the no-segment energy saving load mode to provide the user with the choice of energy saving target, for example, because the air conditioning host carries a certain amount of The minimum energy consumption (such as 40% energy consumption estimate), too low energy saving will cause the main 111112 201027014 machine can not be turned on, so when the user selects the minimum limit as the energy saving target, the power management monitoring device will be 40% The energy consumption estimate is set as the energy saving target value. • Therefore, it is understood from the above embodiments that the air conditioning energy management method of the present invention has the effect of estimating the energy consumption value in advance. Referring to Fig. 3, which is a flow chart for estimating the proportion of the air-conditioning energy management method of the present invention, as shown in Fig. 3, the method for setting the scale of the present invention includes the following steps. In step S131, the power management monitoring device is caused to select an inference rule. Then it proceeds to step S132. In step S132, the sharing ratio is calculated by the intelligent algorithm according to the inference rule. In the specific implementation, after setting the energy saving target value, the power management monitoring device must decide how to save energy according to the energy saving target value, so select at least one inference rule to calculate the sharing ratio by the intelligent algorithm to learn that the air conditioning system is The energy consumption required for the equipment or unit time, and then compare the actual energy consumption value obtained by operating according to the sharing ratio with the estimated energy consumption estimate. If the two errors exceed the preset value, recalculate the distribution. Proportionate. Please refer to FIG. 4A , which is a schematic diagram of a specific embodiment of estimating the proportion of the air conditioning energy management method of the present invention. As shown in FIG. 4 , the method of sharing may be time equalization method and time proportion sharing method. , equipment proportions, or a combination of the above multiple methods to achieve the proportion of design sharing. The time sharing method is based on the energy saving target value to reduce the unit in equal proportions]]]]]2 201027014 The energy consumption of each device in time, for example, the energy saving target value is 70% of the estimated energy consumption, then all the equipment of the air conditioning system is Reduce power consumption by 30% per unit time. The time-proportioning method uses the inference rule based on the energy-saving target value--determining the energy consumption ratio of each device allocated for each unit time, because the metering electricity fee has a peak, a half-peak, and a peak rate, and the best time can be calculated. Amortization ratio is used for energy suppression. The equipment proportional sharing method is based on the energy saving target value, and the inference coefficient is used to determine the energy consumption ratio of each device. For example, the ice water main unit consumes the most power, and the ice water host is set to reduce the power consumption per unit time, and the fan is less expensive. Electric, the fan operation setting is unchanged, the temperature of the air conditioning system may be higher, but the air conditioning environment is still maintained in the comfortable range of the human body because the fan operates unchanged. Therefore, the above-mentioned sharing ratio allows each device to set and dynamically adjust according to the sharing ratio to effectively manage the air conditioning system and prevent excessive energy waste. Q Please refer to FIG. 4B , which is a schematic diagram of a specific embodiment of the inference rule of the air conditioning energy management method of the present invention. As shown in FIG. 4B , the inference rule can be an external air conditioning load calculation, a cooling tower load calculation, and a host. Load calculation, group operation optimization calculation, optimal energy balance point calculation, optimal indoor comfort calculation, indoor air quality calculation and/or demand control calculation. For example, the external air-conditioning load calculation can estimate the current possible air-conditioning load by the difference between the external air and the indoor value. For example, when the air-conditioning system is started, if the outdoor air temperature is lower than the indoor temperature, the external air damper is opened to introduce low. 12 111112 201027014 T outside the gas, pre-cooling the hotter temperature in the room, about 3 () minutes after the water is supplied to the indoor air conditioner, thus reducing the indoor air conditioning load. For example, the calculation of the best energy balance point is based on the ice water host and the cold water, @ 4 ', σ in different cold second degree power consumption rate change 'low cooling water temperature can reduce the ice water main - the most The best point (four) of the "Li will raise ^ so the overall power consumption will have Lu quality and ^ί, from the above-mentioned inference to let the air conditioning system maintain the air. Bei, actually comfortable, power management monitoring device 夂 dairy仃Optimization control. For the 12th week of the 10th CSI, please refer to the 4CSI's (4) air conditioning smashing type algorithm for a specific embodiment of the algorithm, in which the method of knowing the law can be fuzzy control calculus & / or neural network algorithm = type calculus Maid or training (training) the more samples, the more ” "the ability of the system's genius algorithm is stronger. (The correct "sexuality, wisdom, therefore, by the above-mentioned intelligent algorithm
•每-次的運作都會增進耗能預:W ^«5圖，其絲發明之空調減管理 二施例之流程圖。如第5圖所示，於步 : ::監《置紀_境參數與設傷參數，並_ Μ 人設備參料定設_作_。接著進至㈣Ζ兄參 於步驟S2I中，命此总：w J 〇 以及合曰的rw免 控裝置依攄設傷運作資料 “的峨況計算空調系統之耗能估算值，其;科• Every time the operation will increase the energy consumption pre-: W ^ « 5 map, the flow chart of the invention of the air conditioning reduction management. As shown in Figure 5, in the step: :: supervision of the "set of the _ environment parameters and set the damage parameters, and _ Μ human equipment reference set _ _. Then, the (4) Ζ brother participates in step S2I, and the total: w J 〇 and the combined rw control device calculate the energy consumption estimate of the air conditioning system according to the condition of the injury operation data.
Ullio 13 201027014 決定設備運作資料的參數愈多其所計算之耗能估算值越準 確。接著進至步驟S22。 於步驟S22中，由使用者自行設定節能目標值。於本 .實施例中尚可依據節能目標值進行步驟S221的耗能移 -評估，利用該設備運作資料估算尖峰時間耗能成本與:蜂 時間耗能成本，並透過特定空調運作方式將部分 = =耗能移制離峰時間，俾達成節能目標值。接著進至二 S23 n Φ 於々驟S23中’依據該節能目標值計算攤分比例，也 就是決定各設備或各設躲單位時_職攤分的耗能比 例。電能管理監控裝置❹項推論規則中選擇所需要的推 論㈣f利用t慧型演算法（模糊控制演算法及/或類神經 網路凟异法）計算攤分比例。接著進至步驟。 於步驟S24中，空調系統依據該攤分比例以進行優化 節能運作。接著進至步驟S25。 Φ y 中，電能管理監控裴置監控空調系統，並 紀錄，調系統依據該攤分比例運作時所產生之設備運作資 料與實際耗能值，以作為日後回饋修正參數 著 進至步驟S26。 像按者 f步驟S26中’若實際耗能值落人節能目標值特定誤 至辄_ ’即判_實祕能值料該節能目標值，回到 步驟S24 ’空調系統依據該攤分比例繼續進行節能運作； 若該^際耗能值不符合該節能目標值，回到步驟S23,重 新計算攤分比例。本發_用回饋機制持續對空調系統進 11Π12 14 201027014 行監控，每隔一段時間獲得實際耗能值並判斷該實際耗能 值是否符合該節能目標值以決定是否重新計算攤分比例。 實際應用時，請參閱第6圖，其係應用本發明之空調 . 耗能管理方法的空調系統之架構示意圖。如第6圖所示， - 該空調系統包括電能管理監控裝置3、中央控制單元30、 軟體301、監測元件31、冰水主機32、冷卻水塔33、水泵 34以及風機35,該空調耗能管理系統為閉迴路（close-loop) 系統。 ❹ 具體實施時，在軟體程式中建立一組資料庫，該資料 庫中有多個參數(如設備規格、熱負荷需求、設備運轉時數 統計、設備耗能比例、溫度差、相對濕度、氣流及/或氣象 預報紀錄），依據該參數決定各設備的運作資料，例如依據 歷年的氣象預報、室内外溫差以及相對濕度來決定冰水主 機32之運轉度數、耗電量與耗電比例，'風機35之耗電比 例與運轉時數以及冷卻水塔33與水泵34之耗電比例。 ❿ 另外，可事先設定一整年的行事層，例如上班日、休 假曰及/或會議室啟用時段。 空調系統開始運作後，舉例說明：2008年11月26 曰星期三（上班日），冬季，相對濕度50%，室内外溫度差3 度，電能管理監控裝置搜尋軟體資料庫得知歷史資料中的 類似天氣狀況之設備運作資料，依據該設備運作資料計算 耗能估算值，該號預估值可為耗電量（KW)或電費，我們可 設定其預計的電費目標值，軟體301將換算為耗電量並得 知節能目標值，例如節能目標值為7 0 %的耗能估算值，此 15 111112 201027014 時内建於中央控制單元3 0之軟體3 〇丨透過多項推論規則來 計算30%耗能的攤分比例。 除此之外，當室外溫度比室内溫度低，還可引進部份 .外氣來冷卻室内溫度，以降低冰水主機32之負載，或透過 .分區域、分時段空調供應來降低風機35之能源消耗，亦或 關閉部份設備或部份設備進行降载操作，以使總耗電量低 於或僅略高於原本預計的耗能預計值以及以降低水泵34 流量來降低水泵34耗電量。 上述推論規則考量多元環境因素，可採用模糊控制 (fuzzy)演异法以評估攤分比例，因此，中央控制單元3〇 使空調系統依據該攤分比例進行運作，同時監測元件32 瓜測各叹備運作情況以後得各設備耗能值以及整體實際耗 能值，I依據該攤分比例所獲得之實際耗能值為 7889KW，而原本設定的節能目標值為，因為誤差 超過5%(可另設定其它值），則軟體3〇1选過多項推論規則 參來重新計算攤分比例，若實際耗能值為7〇51 ’其誤差小於 5%，則中央控制單元31紀錄依據該攤分比例運作之設備 運作資料而空調系統依此攤分比例進行優牝運作。 此空調耗能管理系統為智慧型空碉爹理系統，讀取相 關參數進行後續分析，以控制運作狀熊，逸過愈多參數以 及愈多訓練(training)，其預估之耗能估算值愈精準，且依 據攤分比例進行運作所獲得之實際耗能值愈接近耗能估异 值。若尚未達到節能目標，則以回饋:剎修正攤分比例或 修正決定耗能估算值的參數，重新進行#牝運作。 16 201027014 本發明之空調耗能管理方法，可達到以下功效： (1)事前預估耗電量。依據耗能估算值而設定節能目 標值以提供可節約電量的比例，可事前設限空調系統的耗 • 電量進而抑制能源的消耗，解決了習知技術中無法事先預 * 期、控制節約費用比例或金額的問題。 建立系統回饋機制。本發明採用的回饋機制可立即修 正攤分比例或修正決定耗能估算值的參數以進行優化運 作，並紀錄用電資料並回饋至軟體之資料庫，使空調系統 在經過每一次的運作後可以增加軟體資料庫參數，俾使依 據攤分比例進行運作之實際耗能值符合節能目標值。 上述實施例僅例示性說明本發明之原理及功效，而非 用於限制本發明。任何熟習此項技術之人士均可在不違背 本發明之精神及範疇下，對上述實施例進行修飾與改變。 因此，本發明之權利保護範圍，應如後述之申請專利範圍 所列。 ©【圖式簡單說明】 第1圖係本發明之空調耗能管理方法之基本流程圖； 第2圖係本發明之空調耗能管理方法之耗能估算值的 計算方法流程圖； 第3圖係本發明之空調耗能管理方法之攤分比例的估 算方法流程圖； 第4Α圖係本發明之空調耗能管理方法之估算攤分比 例的具體實施例之示意圖； 第4Β圖係本發明之空調耗能管理方法之推論規則的 17 111112 201027014 具體實施例之示意圖； 第4C圖係本發明之空調耗能管理方法之智慧型演算 法的具體實施例之示意圖； ，第5圖係本發明之空調耗能管理方法一具體實施例之 - 流程圖；以及 第6圖係應用本發明之空調耗能管理方法的空調系統 之架構示意圖。 【主要元件符號說明】 3 電能管理監測裝置 30 中央控制單元 301 軟體 31 監測元件 32 冰水主機 33 冷卻水塔 34 水泵 ® 35 風機 S10〜S16 步驟 S101〜S102 步驟 S131-S132 步驟 S20-S26 步驟 ]8 111112Ullio 13 201027014 The more parameters that determine the equipment's operational data, the more accurate the estimated energy estimates are. Then it proceeds to step S22. In step S22, the energy saving target value is set by the user. In the embodiment, the energy consumption shift-evaluation of step S221 can be performed according to the energy saving target value, and the energy consumption cost of the peak time and the cost of the bee time energy are estimated by using the operating data of the device, and the specific air conditioning operation mode is partially= = Energy consumption shifts from the peak time, and the energy saving target value is reached. Then, the process proceeds to step S23 n Φ. In step S23, the sharing ratio is calculated according to the energy saving target value, that is, the energy consumption ratio of each device or each of the hidden units is determined. The power management monitoring device selects the required inference from the inference rule. (4) f uses the t-shaped algorithm (fuzzy control algorithm and/or neural network-like difference method) to calculate the distribution ratio. Then proceed to the step. In step S24, the air conditioning system performs an optimized energy saving operation according to the sharing ratio. Then it proceeds to step S25. In Φ y, the power management monitoring device monitors the air conditioning system, and records and adjusts the equipment operation data and the actual energy consumption value generated by the system according to the sharing ratio, as the future feedback correction parameter proceeds to step S26. In the step S26 of the follower f, if the actual energy consumption value falls into the energy-saving target value, the specific error is 辄 _ _ _ _ the real energy value of the energy-saving target value, return to step S24 'the air-conditioning system continues according to the share ratio Performing the energy saving operation; if the energy consumption value does not meet the energy saving target value, returning to step S23, recalculating the sharing ratio. The present invention uses the feedback mechanism to continuously monitor the air conditioning system. The actual energy consumption value is obtained at regular intervals and it is determined whether the actual energy consumption value meets the energy saving target value to determine whether to recalculate the sharing ratio. For practical application, please refer to FIG. 6 , which is a schematic diagram of the architecture of an air conditioning system using the air conditioning management method of the present invention. As shown in FIG. 6, the air conditioning system includes a power management monitoring device 3, a central control unit 30, a software body 301, a monitoring component 31, an ice water host 32, a cooling water tower 33, a water pump 34, and a fan 35, which manages the energy consumption of the air conditioner. The system is a close-loop system. ❹ In the implementation, a set of database is established in the software program, the database has multiple parameters (such as equipment specifications, heat load requirements, equipment operating hours statistics, equipment energy consumption ratio, temperature difference, relative humidity, airflow) And/or weather forecast record), according to the parameter to determine the operation data of each device, for example, according to the weather forecast over the years, indoor and outdoor temperature difference and relative humidity to determine the operating degree, power consumption and power consumption ratio of the ice water host 32, ' The power consumption ratio of the blower 35 and the number of operating hours and the power consumption ratio of the cooling water tower 33 and the water pump 34. ❿ In addition, a full-year calendar can be set in advance, such as the day of work, vacation, and/or conference room activation. After the air conditioning system starts to operate, for example: November 26, 2008, Wednesday (working day), winter, relative humidity 50%, indoor and outdoor temperature difference of 3 degrees, power management monitoring device search software database to learn similar in historical data The equipment operation data of the weather condition calculates the energy consumption estimate based on the equipment operation data. The estimated value of the equipment can be the power consumption (KW) or the electricity fee. We can set the estimated electricity cost target value, and the software 301 will be converted into consumption. The amount of electricity and the energy saving target value, for example, the energy consumption target value of 70% of the energy consumption estimate, this 15 111112 201027014 built in the central control unit 30 software 3 〇丨 through a number of inference rules to calculate 30% consumption The proportion of energy that can be shared. In addition, when the outdoor temperature is lower than the indoor temperature, part of the external air can be introduced to cool the indoor temperature to reduce the load of the ice water main unit 32, or to reduce the fan 35 by the sub-area and time-divided air supply. Energy consumption, or shut down some equipment or parts of equipment for load shedding, so that the total power consumption is lower or only slightly higher than originally expected energy consumption and reduce the water consumption of the pump 34 to reduce the water consumption of the pump 34 the amount. The above inference rules consider multiple environmental factors, and the fuzzy control algorithm can be used to evaluate the distribution ratio. Therefore, the central control unit 3 causes the air conditioning system to operate according to the sharing ratio, and the monitoring component 32 measures each sigh. After the operation, the energy consumption value of each equipment and the overall actual energy consumption value are obtained. The actual energy consumption value obtained by I according to the distribution ratio is 7889 KW, and the originally set energy saving target value is because the error exceeds 5% (may be another If other values are set, the software 3〇1 selects a plurality of inference rule parameters to recalculate the sharing ratio. If the actual energy consumption value is 7〇51' and the error is less than 5%, the central control unit 31 records the sharing ratio according to the sharing ratio. The operation data of the equipment is operated and the air-conditioning system is operated according to this proportion. The air conditioning energy management system is a smart air handling system, which reads relevant parameters for subsequent analysis to control the operation of the bear, escapes more parameters and more training, and estimates the estimated energy consumption. The more accurate, and the actual energy consumption obtained by operating according to the share ratio is closer to the energy consumption estimate. If the energy saving target has not been reached, the feedback will be re-executed by feedback: correcting the proportion of the brakes or correcting the parameters that determine the energy consumption estimate. 16 201027014 The air conditioning energy management method of the present invention can achieve the following effects: (1) Estimated power consumption beforehand. According to the estimated energy consumption value, the energy saving target value is set to provide a ratio of energy saving, and the power consumption and the power consumption of the air conditioning system can be limited in advance to suppress the energy consumption, thereby solving the problem that the conventional technology cannot pre-plan and control the cost saving. Or the amount of the problem. Establish a system feedback mechanism. The feedback mechanism adopted by the present invention can immediately correct the sharing ratio or modify the parameters determining the energy consumption estimation value for optimal operation, and record the power consumption data and feed back to the software database, so that the air conditioning system can be operated after each operation. Increase the software database parameters so that the actual energy consumption value based on the sharing ratio is in line with the energy saving target value. The above-described embodiments are merely illustrative of the principles and effects of the invention and are not intended to limit the invention. Modifications and variations of the above-described embodiments can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be as set forth in the appended claims. [Fig. 1 is a basic flow chart of the air conditioning energy management method of the present invention; Fig. 2 is a flow chart of the calculation method of the energy consumption estimation value of the air conditioning energy management method of the present invention; The flow chart of the method for estimating the share ratio of the air-conditioning energy management method of the present invention; FIG. 4 is a schematic diagram of a specific embodiment of the estimated share ratio of the air-conditioning energy management method of the present invention; 17 111112 201027014 Schematic diagram of a specific embodiment of the air conditioning energy management method; FIG. 4C is a schematic diagram of a specific embodiment of the intelligent algorithm of the air conditioning energy management method of the present invention; Air Conditioning Energy Management Method A flowchart of a specific embodiment - and FIG. 6 is a schematic structural diagram of an air conditioning system to which the air conditioning energy management method of the present invention is applied. [Main component symbol description] 3 Power management monitoring device 30 Central control unit 301 Software 31 Monitoring component 32 Ice water main unit 33 Cooling water tower 34 Water pump® 35 Fan S10~S16 Step S101~S102 Step S131-S132 Step S20-S26 Step]8 111112