Comparing economic benefits of HVAC control strategies in grid-interactive residential buildings

Woo-Shem, Brian; Pattawi, Kaleb; Covington, Hannah; McCurdy, Patrick PJ; Wang, Chenli; Roth, Thomas; Nguyen, Cuong; Liu, Yuhong; Lee, Hohyun

doi:10.1016/j.enbuild.2023.112937

Energy and Buildings

2023

DOI: 10.1016/j.enbuild.2023.112937

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Comparing economic benefits of HVAC control strategies in grid-interactive residential buildings

Brian Woo-Shem

Kaleb Pattawi

Hannah Covington

et al.

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Cited by 11 publications

(1 citation statement)

References 28 publications

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“…The reason for this is the stochastic non-stationarity of the heating process (no two heating seasons are the same) and the lack of repeatability of objects (no two buildings are the same). Therefore, the HVAC industry uses various, often very complex, comparative methodologies that require certain analytical tools for their effective use [34,35].…”

mentioning

confidence: 99%

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study

Skała,

Grela,

Latoń

et al. 2023

Energies

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

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mentioning

confidence: 99%

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study

Skała,

Grela,

Latoń

et al. 2023

Energies

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Method for evaluating fairness of electricity tariffs with regard to income level of residential buildings

Covington,

Woo-Shem,

Wang

et al. 2024

Applied Energy

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Application to novel smart techniques for decarbonization of commercial building heating and cooling through optimal energy management

Behzadi,

Duwig,

Ploskic

et al. 2024

Applied Energy

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Comparing economic benefits of HVAC control strategies in grid-interactive residential buildings

Cited by 11 publications

References 28 publications

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study

Method for evaluating fairness of electricity tariffs with regard to income level of residential buildings

Application to novel smart techniques for decarbonization of commercial building heating and cooling through optimal energy management

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