Application of arc elasticity analysis method combined with CO2 storage technology in building load and energy saving retrofit
Analyzing building loads and energy-efficient retrofits is crucial for effective energy management and sustainable development. Strengthening the identification and analysis of factors that impact energy consumption is informative for devising appropriate measures. In order to address the current li...
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Veröffentlicht in: | Thermal science 2024, Vol.28 (3 Part B), p.2745-2764 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Analyzing building loads and energy-efficient retrofits is crucial for
effective energy management and sustainable development. Strengthening the
identification and analysis of factors that impact energy consumption is
informative for devising appropriate measures. In order to address the
current limitations in analyzing building energy consumption, the present
study proposes a combination of the arc elasticity analysis method with CO2
storage technology. By introducing sensitivity and arc mean elasticity
indices, the cooling and heating loads of building energy consumption can be
analyzed. Subsequently, a CO2 refrigeration system and compression process
can be designed to optimize the storage of CO2 and facilitate its role in
energy conservation and reduction of energy consumption. Thus, the research
aims to fulfill the potential of CO2 in promoting energy efficiency and
reducing consumption. The study utilized software simulation and
experimental analysis to examine the impact of the proposed method. The
findings revealed a positive correlation between the heat transfer
coefficient and the building's annual heat load. In addition, the maximum
data variation of the building's cold load was a mere 0.05 per cent, and the
relative discrepancy between the software simulation and the actual load
values was less than 10 per cent. The exterior building's total cold load
value showed a difference of more than 25 per cent when cooled with CO2
intervention compared to the non-intervention result. Furthermore, the
building's maximum load reduction reached 3.4 per cent when uniformly
varying the thickness of the insulation layer from 40 mm to 100 mm. The
proposed method demonstrates a positive impact on building energy
sensitivity analysis. Its energy loss design for various parts of the
building could offer useful references for practical engineering designs. |
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ISSN: | 0354-9836 2334-7163 |
DOI: | 10.2298/TSCI2403745G |