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Energy efficiency of small buildings with smart cooling system in the summer

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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.

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Abbreviations

A:

Name of a group based on the BMI

B:

Name of a group based on the BMI

C:

Name of a group based on the BMI

D:

Name of a group based on the BMI

BMI:

Body mass index/(kg·m−2)

COP:

Coefficient of performance

e :

Cooling load, (a ton of refrigeration)

g:

Name of a group or sun group based on thermal comfort temperature

N :

Numbers of parameter

T :

Temperature/°C

TC:

Low thermal comfort temperature range/°C

TH:

High thermal comfort temperature range/°C

TM:

Moderate thermal comfort temperature range/°C

AVE:

Average

i :

Studied parameter

n :

Cooling load based on lower thermal comfort temperature

o :

Cooling load based on mean thermal comfort temperature

+:

Moderate physical activity

++:

High physical activity

CPP:

Critical-peak pricing

EEIs:

Energy efficiency indicators

HVAC:

Heating, ventilation, and air conditioning

RTP:

Real-time pricing

SCS:

Smart cooling system

ToUP:

Time-of-use pricing

TMY:

Typical meteorological year

WSN:

Wireless sensor network

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Authors and Affiliations

  1. Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, 314199-15195, Iran

    Yazdan Daneshvar & Seyed Amir Hossein Hashemi

  2. Department of Industrial Engineering, Collage of Engineering, Karaj Branch, Islamic Azad University, Karaj, 31499-68111, Iran

    Majid Sabzehparvar

Authors
  1. Yazdan Daneshvar
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  2. Majid Sabzehparvar
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  3. Seyed Amir Hossein Hashemi
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Correspondence to Majid Sabzehparvar.

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Daneshvar, Y., Sabzehparvar, M. & Hashemi, S.A.H. Energy efficiency of small buildings with smart cooling system in the summer. Front. Energy 16, 651–660 (2022). https://doi.org/10.1007/s11708-020-0699-7

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  • DOI: https://doi.org/10.1007/s11708-020-0699-7

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