Use of CARNOT Toolbox to Evaluate the Impact of Building Automation and Control Systems on Energy and CO<sub>2</sub> Emission Savings

Salvadori, Giacomo; Ferrari, Lorenzo; Romano, Leandro; Fantozzi, Fabio

doi:10.1109/eeeic/icpseurope49358.2020.9160742

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…This is mainly due to the fact that it is usually difficult to obtain all the necessary data to perform a reliable estimate (some factors, such as human behavior, are still difficult to control) and that such an assessment requires a lot of experience [9,10]. Furthermore, some studies identified a lack of validation for simulation methods using real case studies [13]. Therefore, the BACS factor method is still considered as a viable option for estimating energy savings gained from control upgrades as well as to encourage a wider implementation of BACS in the design and retrofitting of buildings [9,12].…”

Section: Introductionmentioning

confidence: 99%

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

et al. 2022

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Intelligent building management systems are proven to lead to energy savings and are an integral component of smart buildings. The procedures developed in the EN standards describe the methodology for calculating the energy savings achieved by improving the automation and control levels of separate services in building systems. However, although this method is used in practice, it is rarely applied or investigated by the research community. Typically, energy savings resulting from a single automation improvement intervention in a building heating system are observed, while the holistic view of combined automation upgrades is not considered. Therefore, the purpose of this study was to assess the energy savings resulting from several upgrades to control levels in the heating system components of the building. In addition, this research provides a rationale for the impact of multiple automation and control options for heating systems as well as examines the difference in energy savings. Finally, an analytical model is developed and demonstrated to assess the feasibility of building automation and control upgrades, by determining the allowed investment according to a set of predefined indicators.

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Section: Introductionmentioning

confidence: 99%

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

et al. 2022

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“…The impact of control systems on energy consumption due to HVAC systems is explored in various scientific publications. For example, Salvadori et al [3] recently investigated the energy savings that can be achieved by different control concepts of the heating system in the case of an office building. Within the context of promising control methods, model predictive control (MPC) is of particular interest, as it is able to consider multiple objectives [2,4].…”

Section: Introductionmentioning

confidence: 99%

Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation

et al. 2020

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This article presents a 125-day experiment to investigate model predictive heat pump control. The experiment was performed in two parallel operated systems with identical components during the heating season. One of the systems was operated by a standard controller and thus represented a reference to evaluate the model predictive control. Both test rigs were heated by an air-source heat pump which is influenced by real weather conditions. A single-family house model depending on weather measurement data ensured a realistic heat consumption in the test rigs. The adapted model predictive control algorithm aimed to minimize the operational costs of the heat pump. The evaluation of the measurement results showed that the electrical energy demand of the heat pump can be reduced and the coefficient of performance can be increased by applying the model predictive controller. Furthermore, the self-consumption of photovoltaic electricity, which is calculated by means of a photovoltaic model and global radiation measurement data, was more than doubled. Consequently, the energy costs of heat pump operation were reduced by 9.0% in comparison to the reference and assuming German energy prices. The results were further compared to the scientific literature and short-term measurements were performed with the same experimental setup. The dependence of the measurement results on the weather conditions and the weather forecasting quality are shown. It was found that the duration of experiments should be as long as possible for a comprehensive evaluation of the model predictive control potential.

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Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control

Horrillo-Quintero,

García-Triviño,

Ehsan-Hosseini

et al. 2024

2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Syst

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Use of CARNOT Toolbox to Evaluate the Impact of Building Automation and Control Systems on Energy and CO₂ Emission Savings

Cited by 7 publications

References 10 publications

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation

Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control

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Use of CARNOT Toolbox to Evaluate the Impact of Building Automation and Control Systems on Energy and CO2 Emission Savings

Cited by 7 publications

References 10 publications

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation

Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control

Contact Info

Product

Resources

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Use of CARNOT Toolbox to Evaluate the Impact of Building Automation and Control Systems on Energy and CO₂ Emission Savings