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Residential MPC controller performance in a household with PV microgeneration

机译:光伏微型发电家庭中的住宅MPC控制器性能

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The energy demand of the residential sector and the adjacent option for fossil fuels has negative consequences by both greenhouse gases (GHG), CO and other air pollutants emissions. The home energy demand consists mainly of energy requirements for space and water heating along with the energy dedicated for appliances. Therefore, different strategies that aim to stimulate an efficient use of energy need to be reinforced at all levels of human activity. In this paper a comparison is made between a Model Predictive Control (MPC) model, the ON/OFF and proportional-integral-derivative (PID) control models of an air conditioning unit AC system controlling the temperature of a room. The model of the house with local Photovoltaic (PV) solar microgeneration is assumed to be located in a Portuguese city. The household of the case study is subject to the local solar irradiance, temperature and electricity tariff of a summer day.
机译:住宅部门的能源需求以及邻近的化石燃料选择对温室气体(GHG),CO和其他空气污染物的排放均产生负面影响。家庭能源需求主要包括空间和水加热的能源需求以及专用于家用电器的能源。因此,需要在人类活动的各个层面上加强旨在刺激能源有效利用的不同策略。在本文中,对模型预测控制(MPC)模型,控制房间温度的空调系统AC系统的ON / OFF和比例积分微分(PID)控制模型进行了比较。假定具有本地光伏(PV)太阳能微型发电的房屋模型位于葡萄牙城市。案例研究的住户需遵守当地夏季的太阳辐照度,温度和电价。

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