Optimizing building energy consumption in office buildings: A review of building automation and control systems and factors influencing energy savings

Vandenbogaerde, L.; Verbeke, S.; Audenaert, A.

doi:10.1016/j.jobe.2023.107233

Cited by 37 publications

(12 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the standard considers many factors affecting the energy efficiency of buildings, there are some key elements that are overlooked. The most important are stated in paper [113]. The system presented by Vandenbogaerde et al considers and analyses the load on the building, user behavior, climatic conditions and maintained temperatures, adapting the operation of the systems to adjust energy consumption to these parameters.…”

Section: Bacs and Energy Efficiency Performancementioning

confidence: 99%

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Walczyk,

Ożadowicz

2024

Preprint

View full text Add to dashboard Cite

Modern building automation systems implement plenty of advanced control and monitoring functions considering various parameters like users’ activity, lighting, temperature changes etc. Moreover, new solutions based on Internet of Things and cloud services are also being developed for smart buildings to ensure comfort of use, user safety, energy efficiency improvements and integration with smart grids and smart city platforms. Such a wide spectrum of technologies and functions requires a new approach in building automation systems design to provide effective way of their implementation and flexibility during operation. At the same time, in the building design and operation industries, tools based on building information modeling and digital twins are being developed. In this paper, the authors discuss development directions and application areas of these solutions, identifying new trends and possibilities of their use in smart homes and buildings. In particular, the focus is on procedures for selecting automation functions, effective integration, and interoperability of building management systems with Internet of Things considering organization of prediction mechanisms and dynamic functional changes in buildings and smart networks. Chosen solutions and functions should consider the requirements from EN ISO 52120 standard and the guidelines defined for the Smart Readiness Indicator.

show abstract

Section: Bacs and Energy Efficiency Performancementioning

confidence: 99%

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Walczyk,

Ożadowicz

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Technologies such as variable refrigerant flow (VRF) systems, energy recovery ventilation, and high-efficiency heat pumps offer significant energy savings while maintaining optimal indoor comfort levels (Enteria, et l., 2020;Kamal, and Khan, 2021;Parameshwaran, and Karunakaran, 2023). Moreover, advanced building automation systems enable precise control and optimization of HVAC operations, further enhancing energy efficiency (Serale, et al, 2018;Vandenbogaerde, et al, 2023;Hassan et al, 2024). Sustainable HVAC system design involves the integration of renewable energy sources to reduce reliance on fossil fuels and mitigate environmental impacts.…”

Section: Climate Change and Hvac System Designmentioning

confidence: 99%

Assessing the Impact of Climate Change on Hvac System Design and Project Management

Wisdom Ebirim,

Favour Oluwadamilare Usman,

Danny Jose Portillo Montero

et al. 2024

Int. j. appl. res. soc. sci.

View full text Add to dashboard Cite

In the face of rapidly changing climate conditions, the field of HVAC (Heating, Ventilation, and Air Conditioning) system design and project management is confronted with a myriad of challenges. This review delves into the critical importance of assessing the impact of climate change on these aspects and highlights key considerations for industry professionals. Climate change poses multifaceted challenges to HVAC system design and project management, primarily due to its influence on temperature patterns, extreme weather events, and evolving energy demands. Rising global temperatures necessitate innovative approaches to cooling systems, with a focus on energy efficiency and sustainable practices. Furthermore, the increasing frequency and intensity of heatwaves and extreme cold spells demand HVAC systems that can adapt dynamically to fluctuating environmental conditions. The review underscores the significance of incorporating climate projections and future-proofing strategies into HVAC system design. By leveraging predictive modeling techniques and climate data, engineers can optimize system performance, minimize energy consumption, and enhance indoor air quality amidst changing climatic conditions. Additionally, the integration of renewable energy sources such as solar and geothermal technologies is explored as a means to mitigate the environmental impact of HVAC systems and reduce reliance on fossil fuels. Effective project management in the context of climate change entails proactive risk assessment and mitigation strategies. Project managers must anticipate potential disruptions arising from extreme weather events, supply chain disruptions, and regulatory changes influenced by climate policies. Adopting adaptive project management methodologies enables stakeholders to respond swiftly to emerging challenges and ensure project resilience in the face of climatic uncertainties. This review underscores the imperative for industry stakeholders to embrace a proactive approach towards assessing the impact of climate change on HVAC system design and project management. By prioritizing resilience, sustainability, and innovation, professionals can navigate the complexities posed by climate change and contribute towards a more resilient built environment. Keywords: Climate Change, HVAC, Project Management, System Design, Review.

show abstract

“…These include implementing energy-saving technologies to enhance the thermal performance of the building envelopes (Berardi and Naldi, 2017;Huang et al, 2021), optimizing heating, ventilation, and air conditioning (HVAC) equipment efficiency (Conceição et al, 2021;Zhou et al, 2023), and integration renewable energy sources (RES) (Christopher et al, 2023;Lebedeva et al, 2023). Recently, the significance of building automation and control systems (BACS) in decreasing the energy demand of buildings has been increasingly acknowledged (Vandenbogaerde et al, 2023). Consequently, the Energy Performance of Buildings Directive (EPBD), updated in 2018, incorporates regulations on the installation of building automation and control systems as well as on devices responsible for temperature regulation at the room level (European Commission, 2021).…”

Section: Introductionmentioning

confidence: 99%

Optimizing office building operations: a framework for continuous dynamic energy simulations in decision-making for efficiency

Borodinecs,

Palcikovskis,

Krumins

et al. 2024

Front. Built Environ.

View full text Add to dashboard Cite

Digital twins represent a promising approach for sustainable building operations and management in the context of the carbon neutrality goals of the European Union (EU). Using OpenStudio, an opensource platform for building energy modeling, we demonstrated the creation and editing of building digital twins. OpenStudio provides a user-friendly interface and extensive simulation capabilities, allowing detailed and accurate modeling of building components and systems. Using OpenStudio Measures, users can automate tasks and customize simulation models to optimize the building performance. The process of creating a building digital twin involves collecting historical data and accurately representing the building geometry; materials; schedules; and heating, ventilation, and air conditioning (HVAC) systems. Challenges such as data availability and model accuracy highlight the importance of modeling practices. Editing the digital twin involves modifying the OpenStudio model files and EnergyPlus weather files to simulate different building operation scenarios. Python programming language opportunities were considered for digital twin file modification. The potential of digital twins lies in their ability to simulate future building conditions and optimize building system settings. By integrating digital twins with machine learning algorithms and connecting them directly to building management systems, optimal building control strategies can be automated, thereby reducing energy consumption and improving occupant comfort levels.

show abstract

Optimizing building energy consumption in office buildings: A review of building automation and control systems and factors influencing energy savings

Cited by 37 publications

References 70 publications

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Assessing the Impact of Climate Change on Hvac System Design and Project Management

Optimizing office building operations: a framework for continuous dynamic energy simulations in decision-making for efficiency

Contact Info

Product

Resources

About