Integrating photovoltaic systems into HVAC control using fuzzy algorithms for optimizing thermal comfort

This article presents a study on the use of photovoltaic panels for storing electrical energy intended to power an HVAC unit placed in a residential room. To highlight this aspect, two specific scenarios will be considered. Thus, we aim to analyze whether the generated and stored energy is sufficient to fulfil the thermal comfort requirements of the user, while also considering the primary objective of minimizing energy consumption. To achieve this goal, the HVAC unit will be controlled by implementing a fuzzy system that determines its optimal activation based on the comfort level obtained from the user. The fuzzy system presents as inputs both environmental parameters and specific personal perception parameters of the user. The research results provide an insight into the efficiency of implementing photovoltaic energy storage systems for residential applications and propose solutions for optimizing energy consumption in the context of ensuring adequate thermal comfort. Thus, the study contributes to the development of sustainable and personalized energy solutions for smart homes.

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Published
2024-10-16
DOI
https://doi.org/10.1109/siitme63973.2024.10814777
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Integrating photovoltaic systems into HVAC control using fuzzy algorithms for optimizing thermal comfort

Giorgian Neculoiu, Marius-Alexandru Dobrea, Mihaela Vasluianu, Mihaela–Gabriela Boicu et al.
Building Energy and Comfort Optimization
article

Integrating photovoltaic systems into HVAC control using fuzzy algorithms for optimizing thermal comfort

Giorgian Neculoiu, Marius-Alexandru Dobrea, Mihaela Vasluianu, Mihaela–Gabriela Boicu, Gabriela-Valentina Olteanu
article en

Abstract

This article presents a study on the use of photovoltaic panels for storing electrical energy intended to power an HVAC unit placed in a residential room. To highlight this aspect, two specific scenarios will be considered. Thus, we aim to analyze whether the generated and stored energy is sufficient to fulfil the thermal comfort requirements of the user, while also considering the primary objective of minimizing energy consumption. To achieve this goal, the HVAC unit will be controlled by implementing a fuzzy system that determines its optimal activation based on the comfort level obtained from the user. The fuzzy system presents as inputs both environmental parameters and specific personal perception parameters of the user. The research results provide an insight into the efficiency of implementing photovoltaic energy storage systems for residential applications and propose solutions for optimizing energy consumption in the context of ensuring adequate thermal comfort. Thus, the study contributes to the development of sustainable and personalized energy solutions for smart homes.

Technical University of Civil Engineering of Bucharest (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Affordable and clean energy
Openalex Percentile: Top 73%
Building Energy and Comfort Optimization
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