Modern Thermal Energy Storage Systems Dedicated to Autonomous Buildings

Musiał, Michał; Lichołai, Lech; Katunský, Dušan

doi:10.3390/en16114442

Cited by 8 publications

(6 citation statements)

References 149 publications

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“…where σ is the variance of the inaccuracy of the actual measurements; σ 2 is the variance of the inaccuracy of the calculated quantities. Whereby verification of the adequacy of the model consists of calculating the test function, according to Equation (6), and comparing the result obtained with the maximum acceptable value of the critical variance, according to Equation (7).…”

Section: Verification Of the Statistical Adequacy Of The Adopted Modelmentioning

confidence: 99%

“…Whereby verification of the adequacy of the model consists of calculating the test function, according to Equation (6), and comparing the result obtained with the maximum acceptable value of the critical variance, according to Equation (7).…”

Section: Verification Of the Statistical Adequacy Of The Adopted Modelmentioning

confidence: 99%

“…In turn, this has a direct impact on economic and environmental costs by increasing the carbon footprint of the demand. Storage of heat and cold by increasing the thermal capacity of building elements is one of the solutions used today to reduce the energy demand of buildings and improve their thermal comfort, as confirmed in [ 6 , 7 ]. Effectively increasing the thermal capacity of building components or their systems in an isothermal form and small footprint, according to [ 8 , 9 , 10 ], is possible using phase-change materials.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

Musiał,

Lichołai

2024

Materials

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This paper presents the long-term, holistic results of research into an innovative heat accumulator based on an organic phase-change material in the form of a mixture of aliphatic alkanes, molecular silica sieves, carbon recyclate and epoxy and cement matrices. The research included chemical testing of vacuum soaking of molecular silica sieves with a liquid phase-change material. The results proved an improvement in the heat storage efficiency of the heat accumulators due to the addition of carbon recyclate by 28%, while increasing the heat storage time by 134 min, and a reduction in PCM leakage due to the use of molecular silica sieves. In addition to its cognitive scientific value, another research objective of the work achieved was to obtain response functions in the form of approximating polynomials. They provide a useful, validated and verified tool to predict the physical and chemical characteristics of heat accumulators with different contents of individual components. As part of the ongoing research, technical problems related to leak-proofing assurance and matrix selection for organic phase-change materials were also solved. The solution presented is in line with the issues of efficient use of renewable energy, low-carbon and energy-efficient circular economy.

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Section: Verification Of the Statistical Adequacy Of The Adopted Modelmentioning

confidence: 99%

Section: Verification Of the Statistical Adequacy Of The Adopted Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

Musiał,

Lichołai

2024

Materials

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“…This work considers the most common construction solutions currently used in buildings on the Spanish Mediterranean coast, with conventional ceramic brick envelopes, laminated plaster beaches, and insulation such as rock wool and expanded or extruded polystyrene. Therefore, more efficient thermal insulation materials or more innovative building solutions with phase change materials [48,49] are not considered.…”

Section: Of 26mentioning

confidence: 99%

Influence of Balcony Thermal Bridges on Energy Efficiency of Dwellings in a Warm Semi-Arid Dry Mediterranean Climate

Pérez-Carramiñana,

de la Morena-Marqués,

González-Avilés

et al. 2024

Buildings

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Thermal bridges significantly influence the energy performance of buildings. However, their impact varies depending on the type of thermal bridge, climate conditions, construction methodologies, and geometric characteristics of the building. On the Spanish Mediterranean coast, buildings with large balconies are predominant. Nevertheless, the Spanish energy efficiency regulations do not adequately specify the thermal bridges at the junctions of balconies with facades, leading to a lack of consideration for their influence in the majority of architectural projects. The objective of this study is to qualitatively and quantitatively assess the impact of such thermal bridges on the energy efficiency of buildings in a dry Mediterranean climate (BShs) within a warm semi-arid climate (BSh). As a case study, the influence of this thermal bridge is analyzed in two residential buildings located on the Mediterranean coast of southeastern Spain. The study also examines the modification of various construction parameters of this thermal bridge and determines the optimal design parameters to reduce its thermal transmittance. The results demonstrate that the energy needs caused by thermal bridges account for approximately 40% of the total annual energy needs of the studied residential buildings. Balcony thermal bridges account for 25% to 40% of the energy needs caused by all thermal bridges. The lack of differentiation in Spanish standards between balcony–facade and facade–slab edge junctions causes an imprecision in calculations equivalent to 12% of the total annual energy needs of dwellings. The novelty of this research lies in highlighting that current regulations and calculation programs need improvement to better characterize balcony thermal bridges and enhance the accuracy of building energy efficiency calculations.

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“…There is a significant divergence between energy consumption and occupant satisfaction. Not only that, but thermal storage systems in buildings can have a significant impact on thermal comfort and energy consumption [5]. For example, utilizing latent heat storage in phase change materials (PCMs) can provide thermal comfort and achieve sufficient energy savings even in the absence of an HVAC system [6].…”

Section: Introductionmentioning

confidence: 99%

Transfer Learning in the Transformer Model for Thermal Comfort Prediction: A Case of Limited Data

Zhang,

2023

Energies

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The HVAC (Heating, Ventilation, and Air Conditioning) system is an important component of a building’s energy consumption, and its primary function is to provide a comfortable thermal environment for occupants. Accurate prediction of occupant thermal comfort is essential for improving building energy utilization as well as health and work efficiency. Therefore, the development of accurate thermal comfort prediction models is of great value. Deep learning based on data-driven techniques has excellent potential for predicting thermal comfort due to the development of artificial intelligence. However, the inability to obtain large quantities of detailed thermal comfort labeling data from residents presents a substantial challenge to the modeling endeavor. This paper proposes a building-to-building transfer learning framework to make deep learning models applicable in data-limited interior building environments, thereby resolving the issue and enhancing model predictive performance. The transfer learning method (TL) is applied to a novel technology dubbed the Transformer model, which has demonstrated outstanding performance in data trend prediction. The model exploits the spatiotemporal relationship of data regarding thermal comfort. Experiments are conducted using the source dataset (Scales project dataset and ASHRAE RP-884 dataset) and the target dataset (Medium US office dataset), and the results show that the proposed TL-Transformer achieves 62.6% accuracy, 57% precision, and a 59% F1 score, and the prediction performance is better than other existing methods. The model is useful for predicting indoor thermal comfort in buildings with limited data, and its validity is verified by experimental results.

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Modern Thermal Energy Storage Systems Dedicated to Autonomous Buildings

Cited by 8 publications

References 149 publications

Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

Influence of Balcony Thermal Bridges on Energy Efficiency of Dwellings in a Warm Semi-Arid Dry Mediterranean Climate

Transfer Learning in the Transformer Model for Thermal Comfort Prediction: A Case of Limited Data

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