Temperature Optimization of Small Smart Residential Buildings Using Fuzzy Inference Rules Considering User Comfort

Authors

1 Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 Department of Industrial Engineering, Faculty of Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Abstract

The present article is a model for the optimal management of energy consumption of smart residential buildings by considering the emotional characteristics to ensure the comfort of residents. In order to smarten the indoor temperature based on emotional components (clothing, outdoor temperature, age, body mass index (BMI1), humidity and number of residents) by expert system and questionnaire, temperature has been determined as a basis. Mogles et al, in an article entitled Designing Behavioral Interactions of Energy Changes for a Computational Model, investigated creating a structure to fit various types of models and using the simulation model as a tool for evaluation, which affects consumption decisions. According to the results, the presented model can predict the energy saving behavior much better than the existing stochastic models and correctly estimate the effect of the accepted technologies. Also, the analytical model can become a decision-making system in accordance with the change of energy behavior (Mogles et al., 2018).

Keywords

Main Subjects

استاندارد "تعیین شاخص‌های حرارتی PMD و PPD و معیارهای آسایش حرارتی موضعی"، سازمان ملّی استاندارد ایران، 1371، چاپ اول.

Harkouss F, Fardoun F, Biwole PH, “Multi-objective optimization methodology for net zero energy buildings”, Journal of Building Engineering, 2018, 16, 57-71. 10.1016/j.jobe.2017.12.003

Joo IY, Chol DH, “Distributed optimization framework for energy management of multiple smart homes with distributed energy resources”, Digital Object Identifier, 2017, 32, 10-1109.  10.1109/ACCESS.2017.2734911

Lorena Tuballa M, Lochinvar Abundo M, “A review of the development of Smart Grid technologies”, Renewable and Sustainable Energy Reviews, 2016, 59, 710-725.

 https://doi.org/10.1016/j.rser.2016.01.011

Mogles N, Padget J, Gabe. Thomas E, Walker I, Lee J, “Computational model for designing energy behaviour change interventions”, User Model User-Adap Inter, 2018, 28, 1-34.

https://link.springer.com/article/10.1007/s11257-017-9199-9

Mohammadi M, Noorollahi Y, Mohammadi B, Hosseinzadeh, M, Yousefi H, Torabzadeh Khorasani S, “Optimal management of energy hubs and smart energy hubs- A review”, Renewable and Sustainable Energy Reviews, 2018, 42, 152-163. 10.1016/j.rser.2018.02.035

Tarish Haider H, Hang See O, Elmenreich W, “A review of residential demand response of smart grid”, Renewable and Sustainable Energy Reviews, 2016, 59, 166-178.

 https://doi.org/10.1016/j.rser.2016.01.016

References

استاندارد "تعیین شاخص‌های حرارتی PMD و PPD و معیارهای آسایش حرارتی موضعی"، سازمان ملّی استاندارد ایران، 1371، چاپ اول.
Harkouss F, Fardoun F, Biwole PH, “Multi-objective optimization methodology for net zero energy buildings”, Journal of Building Engineering, 2018, 16, 57-71. 10.1016/j.jobe.2017.12.003
Joo IY, Chol DH, “Distributed optimization framework for energy management of multiple smart homes with distributed energy resources”, Digital Object Identifier, 2017, 32, 10-1109.  10.1109/ACCESS.2017.2734911
Lorena Tuballa M, Lochinvar Abundo M, “A review of the development of Smart Grid technologies”, Renewable and Sustainable Energy Reviews, 2016, 59, 710-725.
 https://doi.org/10.1016/j.rser.2016.01.011
Mogles N, Padget J, Gabe. Thomas E, Walker I, Lee J, “Computational model for designing energy behaviour change interventions”, User Model User-Adap Inter, 2018, 28, 1-34.
https://link.springer.com/article/10.1007/s11257-017-9199-9
Mohammadi M, Noorollahi Y, Mohammadi B, Hosseinzadeh, M, Yousefi H, Torabzadeh Khorasani S, “Optimal management of energy hubs and smart energy hubs- A review”, Renewable and Sustainable Energy Reviews, 2018, 42, 152-163. 10.1016/j.rser.2018.02.035
Tarish Haider H, Hang See O, Elmenreich W, “A review of residential demand response of smart grid”, Renewable and Sustainable Energy Reviews, 2016, 59, 166-178.
 https://doi.org/10.1016/j.rser.2016.01.016
Journal of Civil and Environmental Engineering
Volume 54.1, Issue 114 - Serial Number 114
Spring 2024
June 2024
Pages 36-45

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