Development and life cycle cost analysis of a solar hybrid HVAC system for use in buildings in tropical climates

Dezfouli, M.M.S.; Kadir, Kushsairy; Sopian, Kamaruzzaman

doi:10.1016/j.seta.2023.103143

Cited by 4 publications

(2 citation statements)

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“…Should the pipe still fail, the repair is less complicated than for pipes embedded in Research on combined building-energy systems is related to several technical fields in which the results from various scientific and professional publications need to be correlated. Therefore, we list some relevant publications on which we base our research [6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Discussionmentioning

confidence: 99%

Contribution to Active Thermal Protection Research—Part 2 Verification by Experimental Measurement

et al. 2023

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This article is closely related to the oldest article titled Contribution to Active Thermal Protection Research—Part 1 Analysis of Energy Functions by Parametric Study. It is a continuation of research that focuses on verifying the energy potential and functions of so-called active thermal protection (ATP). As mentioned in the first part, the amount of thermal energy consumed for heating buildings is one of the main parameters that determine their future design, especially the technical equipment. The issue of reducing the consumption of this energy is implemented in various ways, such as passive thermal protection, i.e., by increasing the thermal insulation parameters of the individual materials of the building envelope or by optimizing the operation of the technical equipment of the buildings. On the other hand, there are also methods of active thermal protection that aim to reduce heat leakage through nontransparent parts of the building envelope. This methodology is based on the validation of the results of a parametric study of the dynamic thermal resistance (DTR) and the heat fluxes to the interior and exterior from the ATP for the investigated envelope of the experimental house EB2020 made of aerated concrete blocks, presented in the article “Contribution to the research on active thermal protection—Part 1, Analysis of energy functions by the parametric study”, by long-term experimental measurements. The novelty of the research lies in the involvement of variant-peak heat/cooling sources in combination with RES and in creating a new, original way of operating energy systems with the possibility of changing and combining the operating modes of the ATP. We have verified the operation of the experimental house in the energy functions of thermal barrier, heating/cooling with RES, and without RES and ATP. The energy saving when using RES and ATP is approximately 37%. Based on the synthesis and induction of analogous forms of the results of previous research into recommendations for the development of building envelopes with energy-active elements, we present further possible outcomes in the field of ATP, as well as already realized and upcoming prototypes of thermal insulation panels.

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Section: Discussionmentioning

confidence: 99%

Contribution to Active Thermal Protection Research—Part 2 Verification by Experimental Measurement

et al. 2023

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“…Deep learning, a powerful machine learning technique inspired by the human brain's neural networks, excels at modeling intricate patterns and relationships from large datasets [44][45][46][47][48][49][50]. On the other hand, reinforcement learning enables software agents to learn optimal decision-making strategies through trial-and-error interactions with an environment, guided by reward signals [51][52][53][54][55][56].…”

Section: Introductionmentioning

confidence: 99%

Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus

Karimi,

Adibhesami,

Hoseinzadeh

et al. 2024

Buildings

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This study introduces a novel framework that leverages artificial intelligence (AI), specifically deep learning and reinforcement learning, to enhance energy efficiency in architectural design. The goal is to identify architectural arrangements that maximize energy efficiency. The complexity of these models is acknowledged, and an in-depth analysis of model selection, their inherent complexity, and the hyperparameters that govern their operation is conducted. This study validates the scalability of these models by comparing them with traditional optimization techniques like genetic algorithms and simulated annealing. The proposed system exhibits superior scalability, adaptability, and computational efficiency. This research study also explores the ethical and societal implications of integrating AI with architectural design, including potential impacts on human creativity, public welfare, and personal privacy. This study acknowledges it is in its preliminary stage and identifies its potential limitations, setting the stage for future research to enhance and expand the effectiveness of the proposed methodology. The findings indicate that the model can steer the architectural field towards sustainability, with a demonstrated reduction in energy usage of up to 20%. This study also conducts a thorough analysis of the ethical implications of AI in architecture, emphasizing the balance between technological advancement and human creativity. In summary, this research study presents a groundbreaking approach to energy-efficient architectural design using AI, with promising results and wide-ranging applicability. It also thoughtfully addresses the ethical considerations and potential societal impacts of this technological integration.

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Thermal Comfort and Energy Analysis of Fan Coil Unit Cooling Systems in Tropical Buildings

Dezfouli,

Kadir,

Dehghani-Sanij

et al. 2023

2023 International Conference on Engineering Technology and Technopreneurship (ICE2T)

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Development and life cycle cost analysis of a solar hybrid HVAC system for use in buildings in tropical climates

Cited by 4 publications

References 24 publications

Contribution to Active Thermal Protection Research—Part 2 Verification by Experimental Measurement

Contribution to Active Thermal Protection Research—Part 2 Verification by Experimental Measurement

Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus

Thermal Comfort and Energy Analysis of Fan Coil Unit Cooling Systems in Tropical Buildings

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