A Flexible Quantification Method for Buildings’ Air Conditioning Based on the Light and Heat Transfer Coefficients: A Case Study of a Shanghai Office Building DOI Creative Commons
Dan Yu, Tingting Xu,

Yunxia Jiang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1311 - 1311

Published: March 7, 2025

The massive integration of renewable electricity places significant regulatory pressure on urban power grids. This has also promoted the development virtual plant technology. air conditioning systems public buildings, as one main cores plants, have flexible regulation capability that is difficult to quantify accurately, leading slow in practical engineering applications. study proposes quantifying building based heat and light transfer coefficient (HTC LTC). Taking a Shanghai an example, this combines 3D modeling simulation sliding window correlation analysis techniques investigate changes influencing factors under different time periods, levels insulation performance, window-to-wall ratios. Drawing analogy with energy storage batteries, two quantification indicators, response (RT) loss (RL), are proposed combined transmission for nonlinear fitting. Finally, sensitivity impact external environment performance conducted. results show surface irradiance highest consumption (over 0.8). However, through linear fitting, it was found HTC can better characterize key indicators RT RL adjustment, fitting degrees (R2) 80% 72%, respectively. obtained from provide quantitative reference control research into systems.

Language: Английский

A Flexible Quantification Method for Buildings’ Air Conditioning Based on the Light and Heat Transfer Coefficients: A Case Study of a Shanghai Office Building DOI Creative Commons
Dan Yu, Tingting Xu,

Yunxia Jiang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1311 - 1311

Published: March 7, 2025

The massive integration of renewable electricity places significant regulatory pressure on urban power grids. This has also promoted the development virtual plant technology. air conditioning systems public buildings, as one main cores plants, have flexible regulation capability that is difficult to quantify accurately, leading slow in practical engineering applications. study proposes quantifying building based heat and light transfer coefficient (HTC LTC). Taking a Shanghai an example, this combines 3D modeling simulation sliding window correlation analysis techniques investigate changes influencing factors under different time periods, levels insulation performance, window-to-wall ratios. Drawing analogy with energy storage batteries, two quantification indicators, response (RT) loss (RL), are proposed combined transmission for nonlinear fitting. Finally, sensitivity impact external environment performance conducted. results show surface irradiance highest consumption (over 0.8). However, through linear fitting, it was found HTC can better characterize key indicators RT RL adjustment, fitting degrees (R2) 80% 72%, respectively. obtained from provide quantitative reference control research into systems.

Language: Английский

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