Occupancy-Based HVAC Control with Short-Term Occupancy Prediction Algorithms for Energy-Efficient Buildings

Dong, Jin; Winstead, Chris; Nutaro, James; Kuruganti, Teja

doi:10.3390/en11092427

Cited by 67 publications

(41 citation statements)

References 40 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As several studies [30][31][32][33] show, energy demand associated with HVAC systems may constitute 30-60% of total energy consumption. Consequently, they are a potential source of savings, which may be obtained by improving the efficiency of individual systems [34].…”

Section: Hvac Systems For Sustainable Buildingsmentioning

confidence: 99%

Energy Monitoring in a Heating and Cooling System in a Building Based on the Example of the Turówka Hotel

Borowski

Mazur²,

Kleszcz

et al. 2020

Energies

View full text Add to dashboard Cite

The energy consumption of buildings is very important for both economic and environmental reasons. Newly built buildings are characterized by higher insulation and airtightness of the building envelope, and are additionally equipped with technologies that minimize energy consumption in order to meet legal requirements. In existing buildings, the modernization process should be properly planned, taking into account available technologies and implementation possibilities. Hotel buildings are characterized by a large variability of energy demand, both on a daily and a yearly basis. Monitoring systems, therefore, provide the necessary information needed for proper energy management in the building. This article presents an energy analysis of the Turówka hotel located in Wieliczka (southern Poland). The historical hotel facility is being modernized as part of the project to adapt the building to the requirements of a sustainable building. The modernization proposal includes a trigeneration system with a multifunctional reverse regenerator and control module using neural algorithms. The main purpose is to improve the energy efficiency of the building and adapt it to the requirements of low-energy buildings. The implementation of a monitoring system enables energy consumption to be reduced and improves the energy performance of the building, especially through using energy management systems and control modules. The proposed retrofit solution considers the high energy consumption, structure of the energy demand, and limits of retrofit intervention on façades.Energies 2020, 13, 1968 2 of 20 buildings. This negative trend may be halted by using renewable energy sources and new solutions with higher efficiency. The effects achieved in this way are not only beneficial to the environment, but, above all, to the consumer, whose operating costs are significantly reduced. The simplest solution to save energy would be to design a building using materials with low thermal conductivity and high-efficiency heating and/or cooling technology.Both environmental and economic factors have led European Union (EU) regulators to introduce a definition for "nearly Zero-Energy Buildings", hereinafter referred to as "sustainable buildings". Pursuant to the Directive of the European Parliament [4], they are buildings with low demand for heating, cooling, and electricity, which should be covered to a very significant extent by energy from renewable sources. The document [4] does not include the exact values of the coefficients to be met by a building, as these are defined by each Member State. The National Plan for increasing the number of low-energy buildings [5] extends this definition, stating that such a building meets the energy saving and thermal insulation requirements as defined in technical and building regulations.Referring to the Regulation of the Minister of Infrastructure, buildings should correspond to at least the optimum energy performance for new buildings, in force since January 2019 for buildings occupied and owned by pu...

show abstract

Section: Hvac Systems For Sustainable Buildingsmentioning

confidence: 99%

Energy Monitoring in a Heating and Cooling System in a Building Based on the Example of the Turówka Hotel

Borowski

Mazur²,

Kleszcz

et al. 2020

Energies

View full text Add to dashboard Cite

show abstract

“…Moreover, the users' behaviors can impact the building energy consumption [24] and IEQ [25] significantly. Monitoring users' behaviors can improve the efficiency of Heating, Ventilation, and Air-Conditioning (HVAC) systems [34] and indoor environment quality [35]. Therefore, the indicators in terms of users' behaviors were also added to the library.…”

Section: Supplementary Indicatorsmentioning

confidence: 99%

Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study

2020

View full text Add to dashboard Cite

Released green building evaluation standards for operation stage include a huge number of indicators, which are very comprehensive and systematic. However, the indicators of these standards are very complicated and a large amount of time and manpower are consumed for their evaluation. To evaluate the operational performance of green buildings more practically and efficiently, some studies collect the operational data for part of the indicators (mainly focusing on building energy performance, indoor environmental quality or occupant satisfaction), which are too rough to evaluate the performance of green building. This paper proposed a total of 27 key performance indicators (KPIs) for green building operations monitoring. The number of proposed indicators is much fewer than the evaluation standards, as well as suitable for long-term monitoring, which can dramatically reduce evaluation time and cost. On the other hand, the indicators involving Outdoor environmental quality, Indoor environmental quality, HVAC system, P&D system, Renewable energy system, Total resource consumption and User behavior, which are more comprehensive and systematic than the conventional monitoring studies for operational performance of green building. Firstly, an indicators library for operations monitoring of green building was established based on relevant standards and literature review in this field. Secondly, “SMART” principle and Delphi method were adopted to select the key performance indicators for green building operations monitoring. Different background experts regarding green building industry were chosen to screen the most relevant, accessible and measurable indicators. Subsequently, two projects in China were selected for case study of key performance indicators proposed in this paper for green building operations monitoring to validate the feasibility and advancement.

show abstract

“…The improvement of the efficiency of HVAC systems was the target of the study in [20], by providing accurate occupancy prediction to the HVAC control in order to ensure that HVAC is not run needlessly when a room or a zone is unoccupied. Simple but effective algorithms were proposed to predict occupancy, along with an algorithm for automatically assigning temperature set-points.…”

Section: Brief Overview Of the Contributions To This Special Issuementioning

confidence: 99%

Special Issue “Intelligent Control in Energy Systems”

Dounis

2019

Energies

View full text Add to dashboard Cite

The editor of this special issue on "Intelligent Control in Energy Systems" have made an attempt to publish a book containing original technical articles addressing various elements of intelligent control in energy systems. The response to our call had 60 submissions, of which 27 were published submissions and 33 were rejections. This book contains 27 technical articles and one editorial. All have been written by authors from 15 countries (and Czech Republic), which elaborated several aspects of intelligent control in energy systems. It covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural network for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision tree for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust µ-synthesis for microgrid, and neuro-fuzzy systems in energy storage.

show abstract

Occupancy-Based HVAC Control with Short-Term Occupancy Prediction Algorithms for Energy-Efficient Buildings

Cited by 67 publications

References 40 publications

Energy Monitoring in a Heating and Cooling System in a Building Based on the Example of the Turówka Hotel

Energy Monitoring in a Heating and Cooling System in a Building Based on the Example of the Turówka Hotel

Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study

Special Issue “Intelligent Control in Energy Systems”

Contact Info

Product

Resources

About