低碳排智慧建築熱流場模擬分析與 能源使用決策評估;Analysis of Low-Carbon Smart Green Building CFD Simulation and Evaluation of Energy Efficient Design Strategies

NCUIR > Engineering College > Energy of Mechatronics > Electronic Thesis & Dissertation > Item 987654321/80753

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/80753

Title:	低碳排智慧建築熱流場模擬分析與能源使用決策評估;Analysis of Low-Carbon Smart Green Building CFD Simulation and Evaluation of Energy Efficient Design Strategies
Authors:	龔鉉傑;Gong, Xuan-Jie
Contributors:	能源工程研究所
Keywords:	流場模擬;室內空氣品質;人體舒適度;建築能耗;CFD;Fluent;eQUEST;Building consumption
Date:	2019-08-20
Issue Date:	2019-09-03 15:06:50 (UTC+8)
Publisher:	國立中央大學
Abstract:	建築物提供人類一舒適空間，然而建築部門能源消耗占全球整體能源消耗量約40%，因此如何有效減低建築能耗是必須深入探討之問題。本研究以中央大學內一示範場域之低碳排智慧建築為研究對象，藉由當地氣候條件和微氣象站之資料，配合CFD流場模擬分析，將流場空間切分為室外與室內空間，並了解不同季節之室外流場常態分佈，研究發現目標建築物於冬、夏季皆以東北面為迎風向，故以此結果作為室內流場之邊界參考，經由驗證後室內流場模擬結果與量測值相對誤差小於3%，表示研究結果成功鏈結室內外流場之關係。接著，經由室內流場之模擬分析，探討不同使用情境下，自然通風和空調模式下之室內溫度、風速場分佈以及室內品質，探討合適開窗策略以及空調機應擺放之位置。以法定二氧化碳濃度要求(<1000 ppm)和室內人體舒適度，尋找合適之室內配置策略，以及良好室內舒適環境。同時，配合流場分析考慮不同使用情境，依人數設計長照情境與辦公室情境，根據當地氣候條件、現有建築設施及空調系統等等，估算建築全年能耗，可視化建築能源消耗量，用以評估研究目標之建築能源使用決策。研究發現使用者習慣、建築外殼特性與通風量同時為影響流場與能耗之主要因素。;Low carbon and clean green energy house is a comfortable and economic place for the people to stay. The green energy house consumes only 40% of the energy compared to the conventional house. This low carbon emission house coupled with Internet of Things (IoT) was demonstrated at National Central University. Every possible factor effects in the functioning and maintenance of the energy house was considered in the simulations. The Computational Fluid Dynamic (CFD) simulations were performed in flow field mode. The local climatic conditions and the data of the micro weather station was considered for the outdoor flow field simulations. The indoor flow field simulation explores the indoor temperature, wind distribution, ventilation and air conditioning mode under different usage conditions in different climatic seasons. We simulated the effect of heat distribution in the house and placed the air conditioners for comfortable living environment. We also demonstrated the usage for both office and residential purposes and calculated the energy consumption based upon the local climatic conditions with effective usage of all the facilities available in the house. This study combines CFD and energy consumption estimation to provide comfortable living in the house with good air quality in different seasons. The user models, effective power consumption and other factors demonstrated and simulated in our research helps the future researchers in designing of power generation and storage for living in various situations.
Appears in Collections:	[Energy of Mechatronics] Electronic Thesis & Dissertation

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