Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study DOI Creative Commons
Aleksander Skała, Jakub Grela, Dominik Latoń

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(19), P. 6830 - 6830

Published: Sept. 26, 2023

This paper presents the concept of an innovative control a central heating system in multifamily building based on original thermodynamic model, resulting architecture system, and originally designed manufactured wireless temperature sensors for thermal zones. The novelty this solution is developed layers system: distributed measurement correction analysis, which existing infrastructure local HVAC controller. approach allows effective use measured data from zones finally sending value calculated settings to Moreover, analytical layer, model was also implemented that calculates necessary amount energy subsystem located building. algorithmic strategy presented extends functionality significantly improves efficiency existing, classic, reference algorithm by implementing additional loops. Additionally, it enables integration with demand-side response systems. successfully tested, achieving real savings 12%. These results are described case-study format. authors believe can be used other buildings thus will have positive impact maintain comfort reduce CO2 emissions.

Language: Английский

A Review of Research on Intelligent Technology in Building Air Conditioning System Optimisation DOI
Bo Li,

Jonathan Chung Ee Yong,

Lih Jiun Yu

et al.

International Journal of Refrigeration, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0

Review of Optimization Control Methods for HVAC Systems in Demand Response (DR): Transition from Model-driven to Model-free Approaches and Challenges DOI

Ruiying Jin,

Peng Xu, Jiefan Gu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113045 - 113045

Published: May 1, 2025

Language: Английский

Citations

0

Development and calibration of apartment building energy model based on architectural and energy consumption characteristics DOI
Ruda Lee, Dongsu Kim, Jong-Ho Yoon

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 206, P. 114874 - 114874

Published: Aug. 29, 2024

Language: Английский

Citations

2

Energy performance evaluation of the ASHRAE Guideline 36 control and reinforcement learning–based control using field measurements DOI
Yeobeom Yoon, Kadir Amasyali, Yanfei Li

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 325, P. 115005 - 115005

Published: Nov. 7, 2024

Language: Английский

Citations

2

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study DOI Creative Commons
Aleksander Skała, Jakub Grela, Dominik Latoń

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(19), P. 6830 - 6830

Published: Sept. 26, 2023

This paper presents the concept of an innovative control a central heating system in multifamily building based on original thermodynamic model, resulting architecture system, and originally designed manufactured wireless temperature sensors for thermal zones. The novelty this solution is developed layers system: distributed measurement correction analysis, which existing infrastructure local HVAC controller. approach allows effective use measured data from zones finally sending value calculated settings to Moreover, analytical layer, model was also implemented that calculates necessary amount energy subsystem located building. algorithmic strategy presented extends functionality significantly improves efficiency existing, classic, reference algorithm by implementing additional loops. Additionally, it enables integration with demand-side response systems. successfully tested, achieving real savings 12%. These results are described case-study format. authors believe can be used other buildings thus will have positive impact maintain comfort reduce CO2 emissions.

Language: Английский

Citations

5