2016-11-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/710106摘要：本計畫將與美菲德公司合作，針對擬建置之綠能智慧屋，開發一套混合電力模擬系統，結合燃料電池、風力發電機、太陽能板、化學能產氫系統、電解產氫系統、與能源管理，根據系統需求及限制進行能源系統最佳化配置研究，期許能在滿足系統負載需求的前提下，降低系統建置及操作成本達到系統的最佳化配置，並利用實際綠能智慧屋的負載進行系統設計驗證。 在石化能源逐漸匱乏與環保議題的注重下，近年來世界各國積極尋找替代性能源技術，如太陽能、風能、及氫能源等。在眾多綠能技術中，氫能源具有高效率及不受氣候影響之優勢，可視為未來主要能源的來源之一；而氫能源技術中又以燃料電池為目前主要應用技術，可以作為備用電源，提供綠能短缺時之電力，所以近年已來有許多燃料電池控制與各類型能源整合的實務應用。然而為了保障系統工作正常，目前市面上多採取保守設計 (over design) 策略，採用超過系統所需元件，因而成本亦隨之增加。本計畫為擬建置之綠能智慧屋，設計一套混合電力供應系統，結合燃料電池、風力發電、太陽能發電、化學產氫、電解產氫、與能源管理，並利用Matlab SimPowerSystemsTM 進行模擬，使用實驗數據修正模擬參數，進行最佳化能源配置，改善綠能智慧屋的設備配置與能源管理，以降低建設配置與操作成本，增加產品競爭力。 <br> Abstract: This project will cooperate with M-Field, to develop a hybrid power simulation model for an intelligent green house. The hybrid power system consists of proton exchange membrane fuel cell (PEMFC), wind turbine, solar panels, hydrogen generation systems, secondary battery sets, and power management. We aim to analyze the load profiles, and minimize the costs of the energy by tuning the component sizes. The developed hybrid power system will be implemented in the house for experimental verification. As fossil energy decreases and environmental concerns, alternative energy-such as solar, wind, hydrogen energy, has drawn much attentions. Among them, hydrogen energy is one of the most important energy because its operation is not affected by weather, and can be used as backup power sources when other green energy is not available. PEMFC is one of the most important application of hydrogen energy. Until now, there have been many hybrid power systems which is composed of PEMFC, battery, solar, wind, and other energy sources. However, it is still an open problem on what is the optimal energy settings? Most hybrid power systems apply over-design to guarantee sustainable operation, at the cost of extra expenses. Therefore, in this project we aim to develop a hybrid power simulation model for an on-going intelligent green house. The hybrid power system will consist of PEMFC, wind, solar, hydrogen generation, and secondary battery. We will build the model by Matlab SimPowerSystemsTM and tune the model parameters based on experimental results. Then we can use the model to analyze the power consumption and costs, and optimize the system setting. The results can help reduce the construction and operation costs when developing hybrid power systems in the future.混合電力系統燃料電池風力發電機太陽能板二次電池產氫系統能源管理系統最佳化hybrid power systemPEMFCl solarl windbatteryhydrogen generationpower managementoptimization