本文選題：智能建筑 + 建筑能量管理系統(tǒng)��； 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：隨著城市化進(jìn)程的快速發(fā)展和大型建筑的不斷涌現(xiàn),建筑能耗占社會總能耗的比重不斷增加。據(jù)美國能源信息署研究數(shù)據(jù)顯示,建筑能耗占社會總能耗的比重接近40%,前瞻產(chǎn)業(yè)研究院數(shù)據(jù)顯示,我國建筑能耗占社會總能耗的比重已達(dá)到27.45%,最終還將持續(xù)上升至35%左右,建筑節(jié)能降耗越來越受到大家的關(guān)注并已成為目前迫切需要解決的問題。建筑能量管理系統(tǒng)的任務(wù)是在滿足室內(nèi)環(huán)境舒適度指標(biāo)的前提下,對建筑系統(tǒng)內(nèi)的能量流動進(jìn)行管理和控制,保證建筑系統(tǒng)安全經(jīng)濟(jì)運(yùn)行。建筑光伏發(fā)電功率出力的隨機(jī)波動、建筑負(fù)荷能耗的不確定性、需求側(cè)響應(yīng)和分時電價等因素是智能電網(wǎng)背景下建筑能量管理系統(tǒng)優(yōu)化運(yùn)行面臨的新問題,開展智能建筑能量管理系統(tǒng)優(yōu)化控制模型的研究具有重要的理論意義與應(yīng)用價值。本論文首先對建筑內(nèi)各類型電源、負(fù)荷及儲能裝置進(jìn)行了分類研究,分析了其各自的運(yùn)行特性并建立了相應(yīng)的數(shù)學(xué)模型。其次,分析了影響建筑室內(nèi)舒適度的主要環(huán)境因素并建立了各環(huán)境參數(shù)的數(shù)學(xué)模型。第三,利用建筑光伏出力、負(fù)荷功率及室外溫度的預(yù)測值,以最大化建筑系統(tǒng)經(jīng)濟(jì)性和室內(nèi)舒適度為目標(biāo),聯(lián)合日前、日內(nèi)兩個時間尺度建立智能建筑能量管理系統(tǒng)兩階段優(yōu)化模型。日前優(yōu)化以最大化系統(tǒng)運(yùn)行經(jīng)濟(jì)性為目標(biāo),日內(nèi)優(yōu)化則在日前優(yōu)化的基礎(chǔ)上綜合考慮系統(tǒng)經(jīng)濟(jì)性和用戶舒適度建立多目標(biāo)優(yōu)化模型。通過兩個不同時間尺度的協(xié)同優(yōu)化,以實現(xiàn)多類型電源、負(fù)荷及儲能的“源-荷-儲”多能互補(bǔ)優(yōu)化運(yùn)行。算例分析表明,使用該多時間尺度優(yōu)化方法可以保證優(yōu)化的實時性,在基本不影響用戶舒適度的前提下提高經(jīng)濟(jì)性。最后,使用EnergyPlus軟件建立建筑三維立體模型,分析室內(nèi)環(huán)境與建筑能耗之間的關(guān)系,通過需求側(cè)管理中的直接負(fù)荷控制方法在用戶允許的范圍內(nèi)通過適當(dāng)改變室內(nèi)環(huán)境參數(shù)來實現(xiàn)建筑系統(tǒng)的節(jié)能降耗。將需求側(cè)管理控制策略與電源的優(yōu)化相結(jié)合,從負(fù)荷及電源兩個角度對建筑能量系統(tǒng)進(jìn)行優(yōu)化管理,在幾乎不影響用戶舒適度的前提下降低建筑能耗,提高建筑系統(tǒng)經(jīng)濟(jì)性。采用實際數(shù)據(jù)的仿真結(jié)果表明,使用該優(yōu)化控制方法在很大程度上降低了建筑能耗,提高了系統(tǒng)的經(jīng)濟(jì)性,有效地改善了整個建筑系統(tǒng)的能耗狀況及經(jīng)濟(jì)成本。
[Abstract]:With the rapid development of urbanization and the emergence of large buildings, the proportion of building energy consumption in the total energy consumption is increasing. According to the research data of the US Energy Information Administration, the proportion of building energy consumption in the total social energy consumption is close to 40 percent. According to the data from the prospective Industrial Research Institute, the proportion of building energy consumption in the total social energy consumption in China has reached 27.455.In the end, it will continue to rise to about 35 percent. More and more attention has been paid to building energy saving and consumption reduction, which has become an urgent problem to be solved. The task of the building energy management system is to manage and control the energy flow in the building system under the premise of satisfying the indoor environment comfort index to ensure the safe and economical operation of the building system. The factors such as random fluctuation of building photovoltaic power output, uncertainty of building load energy consumption, demand-side response and time-sharing price are the new problems in the optimal operation of building energy management system under the background of smart grid. The research on optimal control model of intelligent building energy management system has important theoretical significance and application value. In this paper, the various types of power supply, load and energy storage device in the building are classified, their respective operating characteristics are analyzed and the corresponding mathematical models are established. Secondly, the main environmental factors affecting indoor comfort are analyzed and the mathematical models of each environmental parameter are established. Third, using the forecasted values of building photovoltaic output, load power and outdoor temperature, with the aim of maximizing building system economy and indoor comfort, combining with pre-day, Two-stage optimization model of intelligent building energy management system is established by two-day time scales. The goal of pre-day optimization is to maximize the operating economy of the system, and the multi-objective optimization model is established on the basis of pre-day optimization considering the system economy and user comfort. Through the cooperative optimization of two different time scales, the "source-load-storage" multi-energy optimal operation of multi-type power supply, load and energy storage can be realized. The example analysis shows that the multi-time scale optimization method can guarantee the real-time performance of the optimization and improve the economy without affecting the comfort of the users. Finally, the energy Plus software is used to build a three-dimensional model of the building to analyze the relationship between indoor environment and building energy consumption. Through the direct load control method in demand-side management, the energy saving and consumption reduction of the building system can be realized by changing the indoor environmental parameters properly within the user's permission. Combining the demand-side management control strategy with the optimization of power supply, the building energy system is optimized and managed from two aspects of load and power supply, which can reduce the building energy consumption and improve the economy of the building system without affecting the comfort of the users. The simulation results using the actual data show that the optimal control method can reduce the building energy consumption to a great extent, improve the economy of the system, and effectively improve the energy consumption and economic cost of the whole building system.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU855

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相關(guān)期刊論文 前10條

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本文編號：2109718