Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review

Johra, Hicham; Heiselberg, Per

doi:10.1016/j.rser.2016.11.145

Cited by 119 publications

(61 citation statements)

References 94 publications

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“…Third, the layout of the house affects temperature dynamics. Fourth, a variety of factors such as the windows surface, the house orientation, the effect of furniture on the thermal mass [13], imperfect weather data, and user disturbances (window/door openings, occupancy, cooking, etc. ), make system identification a challenging and time-consuming task.…”

Section: Flexibility Modelling Under Limited Informationmentioning

confidence: 99%

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

et al. 2019

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Section: Flexibility Modelling Under Limited Informationmentioning

confidence: 99%

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

et al. 2019

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“…One future direction of thermal mass storage is the development of hybrid adaptable thermal energy storage approach that usually used PCMs integratedlightweight building construction materials [104] or PCMs integrated-internal furniture [105] to improve the thermal comfort. Thermally Activated Building Systems (TABS) Different from the thermal mass, thermally activated building systems involve building surfaces or building structures with water pipes or air ducts embedded.…”

Section: Thermal Massmentioning

confidence: 99%

Energy Storage by Sensible Heat for Buildings

Fan¹

2018

Handbook of Energy Systems in Green Buildings

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This chapter presents a state-of-the-art review on the available thermal energy storage (TES) technologies by sensible heat for building applications. After a brief introduction, the basic principles and the required features for desired sensible heat storage are summarized. Then, material candidates and recent advances on sensible heat or cold storage adapted for building application are discussed, each with its own characteristics, advantages, and limitations. A large section of the chapter is devoted to the sensible TES technologies for buildings, both for short-term (daily) and for long-term (seasonal) storage. Each technology is described in detail including different aspects: basic principle, development status, performance and costs, potential and barriers, today's R&D activity focus, etc. Comparisons on the advantages and limitations between different TES technologies are also made. Finally, conclusions and future directions are summarized.

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“…Recent papers have reported that many of the current numerical models for building energy systems assume empty rooms and do not account entirely for the thermal inertia of objects and materials, such as furniture. This assumption makes the models invalid for dynamic calculations [14]. The issues arising during the simulation processes are too complex to understand and apply realistically to building behavior.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method Based on Neural Networks for Designing Internal Coverings in Buildings: Energy Saving and Thermal Comfort

et al. 2019

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Featured Application: This work shows a new methodology to optimize the exact amount of permeable internal coverings in a building, thereby becoming a passive method control system for this indoor ambience.Abstract: Although several papers define energy saving and thermal comfort optimization with internal coverings materials, none of them deal with predictive models to improve design in building constructions. Thus, artificial intelligence (AI) procedures were applied in this paper. In particular, neural networks (NNs) were designed for indoor ambiences with internal covering materials in different buildings, were trained and employed to predict indoor ambiences (indoor temperature and relative humidity as a function of weather conditions), and, based on these procedures, local thermal comfort conditions and energy consumption, due to the type of internal covering permeability level, were calculated. Results from this original methodology showed a better acceptability of indoor ambiences when permeable coating materials were used, in agreement with previous research works. At the same time, with permeable coverings, a lower energy consumption of 20% in the heating, ventilation, and air conditioning (HVAC) systems was needed to reach more comfortable conditions during the summer season in the first hours of occupation. Finally, all these results suggest an original methodology to optimize indoor ambiences based on the design of internal coverings by NN.

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Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review

Cited by 119 publications

References 94 publications

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

Energy Storage by Sensible Heat for Buildings

A Novel Method Based on Neural Networks for Designing Internal Coverings in Buildings: Energy Saving and Thermal Comfort

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