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Methodology for the design of energy production and storage systems in buildings: Minimization of the energy impact on the electricity grid

机译:建筑物能源生产和存储系统设计的方法论:最大限度地减少对电网的能源影响

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Human life requires energy. Moreover, people spend around 90% of their time in buildings while about 40% of primary energy needs are due to buildings. That is why the present paper deals with a methodology allowing identifying and assessing the energy impact of a building on the electricity grid. Thanks to both the building models we developed and fuzzy logic contribution (used to control ventilation and develop occupancy scenarios related to human habits and lifestyle), the results we obtained in simulation validate the proposed impact indicator. Different insulation levels were considered as well as energy production (solar photovoltaic and thermal panels and a vertical axis windmill) and storage (a domestic hot water tank) systems. These results highlighted the pertinence of such an indicator for optimizing the design of the just-mentioned systems and minimizing the amount of energy exchanged by buildings and the electricity grid. One can promote energy injection or take into account the status of the electricity grid when designing these systems. As a key result, the produced renewable energy is partially self-consumed, what allows for a more efficient and rational use of energy in buildings.
机译:人的生命需要能量。此外,人们将约90%的时间花在建筑物上,而约40%的一次能源需求则来自建筑物。这就是为什么本文研究允许识别和评估建筑物对电网的能源影响的方法。得益于我们开发的建筑模型和模糊逻辑贡献(用于控制通风并开发与人类习惯和生活方式有关的居住场景),我们在仿真中获得的结果验证了所提出的影响指标。考虑了不同的隔热等级以及能源生产(太阳能光伏和热能面板以及垂直轴风车)和存储(家用热水箱)系统。这些结果凸显了这样一种指标的相关性,该指标可优化上述系统的设计并最大程度减少建筑物和电网所交换的能量。设计这些系统时,可以促进能量注入或考虑电网状态。关键的结果是,产生的可再生能源是部分自耗的,从而可以更有效,合理地利用建筑中的能源。

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