Energy efficiency of small buildings with smart cooling system in the summer
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RESEARCH ARTICLE
Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI
Energy efficiency of small buildings with smart cooling system in the summer
© Higher Education Press 2020
Abstract In this paper, a novel cooling control strategy as part of the smart energy system that can balance thermal comfort against building energy consumption by using the sensing and machine programming technology was investigated. For this goal, a general form of a building was coupled by the smart cooling system (SCS) and the consumption of energy with thermal comfort cooling of persons simulated by using the EnergyPlus software and compared with similar buildings without SCS. At the beginning of the research, using the data from a survey in a randomly selected group of hundreds and by analyzing and verifying the results of the specific relationship between the different groups of people in the statistical society, the body mass index (BMI) and their thermal comfort temperature were obtained, and the sample building was modeled using the EnergyPlus software. The result show that if an intelligent ventilation system that can calculate the thermal comfort temperature was used in accordance with the BMI of persons, it can save up to 35% of the cooling load of the building yearly. Keywords smart home, heating and cooling systems, saving energy, optimal consumption of energy
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Introduction
With the development of technology and programming and the increase of consuming energy especially electricity in the summer, it is so important to decrease the amount of Received Jul. 8, 2019; accepted Dec. 30, 2019; online Oct. 10, 2020 Yazdan DANESHVAR, Seyed Amir Hossein HASHEMI Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin 314199-15195, Iran
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Majid SABZEHPARVAR ( ) Department of Industrial Engineering, Collage of Engineering, Karaj Branch, Islamic Azad University, Karaj 31499-68111, Iran E-mail: [email protected]
peak load of electricity by using technology, programming and heating, ventilation, and air conditioning (HVAC) science. Smart energy systems are driven by the clear needs of concerning energy conservation and balancing building energy use against occupant comfort requirements. Smart energy systems would be able to advance building energy efficiency by monitoring, manipulating, and leveraging contextual information across the building environments [1]. Smart cooling of the building is considered as one of the main applications which has attracted great interest during the last few years [2]. The smart cooling is envisioned as the evolution of the current energy, which faces important challenges, such as blackouts caused by peaks of energy demand that exceed the energy capacity [3]. A purposed approach to alleviate this problem is to incentivize the consumers to defer or reschedule their energy consumption to different time intervals with a lower expected power demand. These incentives are based on smart (or dynamic) pricing tariffs that consider a variable energy price [4]. For instance, i
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