研究生: |
陳勇誠 Jung-cheng Chen |
---|---|
論文名稱: |
整合滑動視窗需量控制技術之中央監控系統研究 Study of Central Control and onitoring System which using Slide Windows Data Acquisition Technique for Power Demand Control System |
指導教授: |
蕭弘清
Horng-ching Hsiao |
口試委員: |
宋平生
none 高文秀 none 黃仲欽 Chung-chien Huang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 100 |
中文關鍵詞: | 電力需量控制 、中央監控系統 |
外文關鍵詞: | Power Demand, Centralized Control Monitoring Sys |
相關次數: | 點閱:294 下載:2 |
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由於節能管理成為建築物之重要需求,綠建築標章更是公共工程建築物之設計要件,因此經由中央監控系統可提供節能之各項自動控制功能,中央監控系統與電力需量之整合若能提供良好之規劃設計,則可以同時達到節能與節電之需求。
本論文研究以滑動視窗法來作為電力需量控制管理之控制法則,並整合入中央監控系統。本研究由各種電力需量預測方法之分析並提出範例研究準確度,得到滑動視窗預測法之可信任度,並利用實務上中央監控系統之範例提供卸載控制管理,包括醫院之需量控制及學校之需量控制,本論文之研究包括:綜合數位電表、DDC控制器、中央監控電腦及現場控制器,透過網路設備整合,提供建築物電力需量監控管理。
經由實例測試結果顯示,本系統可提供準確電力需量之警報預測,並透過網路,控制現場冰水主機,達到卸載以降低超過契約容量之罰款,可以有效節省電費,本研究亦提供由每年12個月之最大需量值來計算最佳之電力需量值,以得到節省電費之目的。
Energy-saving management is one of the major requirements for modern buildings. Green building specifications are also become even more important for public building designs. By integrate Centralized Control Monitoring Systems (CCMS) for building management we could get completed energy consumption figures for energy-saving purposes. If we integrate the Power Demand Control System (PDCS) with the CCMS in a building project design, we could both satisfy the money saving and energy saving purposes. In this article we are using Slide Windows Data Acquisition Technique (SWDAT) as a controlling basis for PDCS, then integrate this technique into CCMS. We try to find different confidence level by analysis accuracies of several buildings from real data using versatile algorithms of power demand prediction. Several examples of power demand applications for hospitals and schools, in which all integrated with CCMS and provide load-shed management. Buildings installed digital power meters, DDC controllers, CCMS server computer and several different controllers, connected to each other by communication network equipments could provide power demand management functionality in each building for power consumption cost saving reason. As a result shown from real examples, this SWDAT could provide accurate demand prediction of power consumption by dynamically control the load of building chiller unit through communication network, for not exceed the contract power demand to effectively save power payment. From this technique we could get the optimized power demand based on power demand figures in 12 months period each year and get even more saving in power demand contract with local power company.
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