植物工廠冰水主機熱負荷監控實測與分析－－以臺灣大學人工氣候室為例

Plant Factory Chiller Heat Load Monitoring and Analysis-A Case Study of National Taiwan University Phytotron

植物工廠型態的物業不動產經營與管理，跟電力系統尤其相關，成功的關鍵在於綠能技術的管理，首先必須蒐集臺大人工氣候室兩年以來，冰水主機耗能的能力監控數據，以供日後建立電腦模擬建築耗能作為參考數據，同時驗證BIM（建築資訊模型）系統建築3D模型建築耗能的數據精確性。本研究利用2012年的空調熱負荷數據，建立國內首例人工氣候室空調熱負荷模型，將一年的逐日數視為獨立變數，依地球公轉的週期，來定義建築物受太陽能量的位置，在每年同日位於相同位置（些微誤差），以逐日空調熱負荷為相依變數，導出複迴歸二次方程式，並預測出2013年空調熱負荷的趨勢。由2013年的預測殘差中導出本研究的建築最大空調需量二次方程式，作為評估建築冰水主機容量的計算方式，使物業管理業對大樓空調需量及用電有準確的掌握。本研究的數據為人工氣候室內建的BEMS（建築能源管理）系統海量資料庫中加以解析與探勘而成，此研究方式適合物業管理業者實務的運用，利用承包大樓的BEMS資訊，建立各類型大樓的建築熱負荷模型，可由本研究實驗數據之迴歸模型中發現新的耗能參數、研究方向與趨勢，更冀望BEMS海量資訊可導出與BIM系統中AutodeskEcotectAnalysis等綠能電腦模擬軟體，進行更精確的物業能源規劃與管制。

The key to the success of plant factory patterns of property management, particularly those relating to power systems, depends on the management of green energy technology. Data is first collected from the monitoring of energy consumption of the NTU phytotron's chiller capacity between 2012 and 2013 as a reference point for future computer simulations of building energy consumption and as a verification of the accuracy of 3D BIM models of consumption. This research uses the air-conditioning heat load data of 2012 to establish the first domestic phytotron air-conditioning heat load model. The each one of the day in the year is an independent variables. According to the Earth's revolution period, the amount of solar energy is defined by the location of the building, on the same day at the same location every year. The multiple regression quadratic equations were proposed to predict the year 2013 air-conditioning heat load base on daily air conditioning heat load. The largest demand chiller capacity is calculated by the quadratic prediction residuals from 2013 predominate the energy consumption and chiller capacity efficiently. The massive real time data collected from the BEMS (Building Energy Management System) was sorted and analyzed to achieve the heat load model which can be applied to property management on plant factory. This research not only approach to heat load model creation by using BEMS but also towards the parameters in building energy consumption. This paper also proposes that the model can be applied to BIM Autodesk Ecotect Analysis simulation which facilitates precise control of the property and energy planning.