本文对光伏多联机空调系统进行了实验与模拟。实验基于云覆盖率百分比的对太阳能保证率(SF)、净太阳能分数(NSF)等指标进行了分析。为了提高系统的匹配指数同时考虑到光伏与空调结合具有季节性,在此基础上利用TRNSYS建立了系统的仿真模...本文对光伏多联机空调系统进行了实验与模拟。实验基于云覆盖率百分比的对太阳能保证率(SF)、净太阳能分数(NSF)等指标进行了分析。为了提高系统的匹配指数同时考虑到光伏与空调结合具有季节性,在此基础上利用TRNSYS建立了系统的仿真模型。分别模拟了系统不同倾角时光伏系统的发电量,得出季节最佳安装倾角分别为:制冷季为10°,供暖季为60°;过渡季节(春向夏)以及过渡季节(秋向冬)分别为20°、60°。通过模拟系统的全年性能,表明按照季节安装倾角时的全年产出电量为22482 kWh,按照全年安装倾角时全年发电量为21448 k Wh,相比于全年安装倾角的发电量提高了5%。展开更多
In the last few decades, in the world and also in the European Union, considerable resources had been invested in the rapid development of renewable energy sources and distributed generation in general. At the same ti...In the last few decades, in the world and also in the European Union, considerable resources had been invested in the rapid development of renewable energy sources and distributed generation in general. At the same time, power consumption is continuously increasing, and consumers are becoming more complex, which ultimately requires new investments in the distribution network. Concept of smart grids is generally accepted as a possible solution. Smart grid is a concept with many elements, where monitoring and control of every element in the chain of production, transmission, distribution and final consumption enable much more efficient delivery and use of electricity. One of the elements of smart grid efficiency is the ability of real-time demand-supply balancing. This balancing is carried out by monitoring of consumption and redistribution of electricity among individual end users, according to their needs. The aim of this paper is creating algorithm for real-time load management using power measurements. Algorithm for real-time load management at the ETFOS （Faculty of Electrical Engineering in Osijek）, Croatia is created based on measurements of photovoltaic power plant production, the power consumption of air conditioning system and the faculty building total electricity consumption. Expected result of real-time re-dispatching of air conditioners consumption, depending on the level of electricity production in photovoltaic power plant is decreasing peak demand of the faculty.展开更多
文摘本文对光伏多联机空调系统进行了实验与模拟。实验基于云覆盖率百分比的对太阳能保证率(SF)、净太阳能分数(NSF)等指标进行了分析。为了提高系统的匹配指数同时考虑到光伏与空调结合具有季节性,在此基础上利用TRNSYS建立了系统的仿真模型。分别模拟了系统不同倾角时光伏系统的发电量,得出季节最佳安装倾角分别为:制冷季为10°,供暖季为60°;过渡季节(春向夏)以及过渡季节(秋向冬)分别为20°、60°。通过模拟系统的全年性能,表明按照季节安装倾角时的全年产出电量为22482 kWh,按照全年安装倾角时全年发电量为21448 k Wh,相比于全年安装倾角的发电量提高了5%。
文摘In the last few decades, in the world and also in the European Union, considerable resources had been invested in the rapid development of renewable energy sources and distributed generation in general. At the same time, power consumption is continuously increasing, and consumers are becoming more complex, which ultimately requires new investments in the distribution network. Concept of smart grids is generally accepted as a possible solution. Smart grid is a concept with many elements, where monitoring and control of every element in the chain of production, transmission, distribution and final consumption enable much more efficient delivery and use of electricity. One of the elements of smart grid efficiency is the ability of real-time demand-supply balancing. This balancing is carried out by monitoring of consumption and redistribution of electricity among individual end users, according to their needs. The aim of this paper is creating algorithm for real-time load management using power measurements. Algorithm for real-time load management at the ETFOS （Faculty of Electrical Engineering in Osijek）, Croatia is created based on measurements of photovoltaic power plant production, the power consumption of air conditioning system and the faculty building total electricity consumption. Expected result of real-time re-dispatching of air conditioners consumption, depending on the level of electricity production in photovoltaic power plant is decreasing peak demand of the faculty.
