Application of Smart Technologies in Buildings

Topic Information

Dear Colleagues,

Recent advancements in smart technologies have led to their numerous applications in the building sector. Smart technologies incorporate various processes, software, and hardware that can be used to improve quality and efficiency in different phases of a building’s life cycle, including its design, construction, operation, maintenance, and deconstruction. There is a need to identify the optimal uses of smart technologies in different building project processes and phases, determine the benefits of these applications to building projects as well as to the various stakeholders involved, and provide solutions that address challenges in their application.

We invite high-quality cutting-edge articles for the topic on “Application of Smart Technologies in Buildings”. The scope of this topic is broad; the topics include but are not limited to the following:

• Application of smart technologies in different building life cycle phases such as planning, design, construction, operation/maintenance, and deconstruction.
• Application of smart technologies in existing buildings and new constructions.
• Application of smart technologies in the following:
  • Design process;
  • Planning and monitoring the progress of construction;
  • Prefabrication of building systems;
  • Managing the safety of construction workers;
  • Building commissioning;
  • Smart control of buildings in the operation and maintenance phase;
  • Energy monitoring of buildings;
  • Automated control of building systems;
  • Managing building emergency situations and evacuation planning.
• Application of advanced technologies and processes such as laser scanning and unmanned aerial vehicles (UAV) in the design, construction, and operation and maintenance of buildings.
• Addressing challenges of computer technology applications in buildings.

Prof. Dr. Yin Zhang
Prof. Dr. Limei Peng
Prof. Dr. Ming Tao
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
AI ai	3.1	7.2	2020	17.6 Days	CHF 1600	Submit
Buildings buildings	3.1	3.4	2011	17.2 Days	CHF 2600	Submit
Computers computers	2.6	5.4	2012	17.2 Days	CHF 1800	Submit
Electronics electronics	2.6	5.3	2012	16.8 Days	CHF 2400	Submit
Mathematics mathematics	2.3	4.0	2013	17.1 Days	CHF 2600	Submit
Symmetry symmetry	2.2	5.4	2009	16.8 Days	CHF 2400	Submit
Smart Cities smartcities	7.0	11.2	2018	25.8 Days	CHF 2000	Submit

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Published Papers (1 paper)

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All AI Buildings Computers Electronics Mathematics Symmetry Smart Cities

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26 pages, 10488 KiB  

Open AccessArticle

Development of an AI Model Utilizing Buildings’ Thermal Mass to Optimize Heating Energy and Indoor Temperature in a Historical Building Located in a Cold Climate

by Jan Akander, Hossein Bakhtiari, Ali Ghadirzadeh, Magnus Mattsson and Abolfazl Hayati

Buildings 2024, 14(7), 1985; https://doi.org/10.3390/buildings14071985 - 1 Jul 2024

Viewed by 377

Abstract

Historical buildings account for a significant portion of the energy use of today’s building stock, and there are usually limited energy saving measures that can be applied due to antiquarian and esthetic restrictions. The purpose of this case study is to evaluate the [...] Read more.

Historical buildings account for a significant portion of the energy use of today’s building stock, and there are usually limited energy saving measures that can be applied due to antiquarian and esthetic restrictions. The purpose of this case study is to evaluate the use of the building structure of a historical stone building as a heating battery, i.e., to periodically store thermal energy in the building’s structures without physically changing them. The stored heat is later utilized at times of, e.g., high heat demand, to reduce peaking as well as overall heat supply. With the help of Artificial Intelligence and Convolutional Neural Network Deep Learning Modelling, heat supply to the building is controlled by weather forecasting and a binary calendarization of occupancy for the optimization of energy use and power demand under sustained comfortable indoor temperatures. The study performed indicates substantial savings in total (by approximately 30%) and in peaking energy (by approximately 20% based on daily peak powers) in the studied building and suggests that the method can be applied to other, similar cases. Full article

(This article belongs to the Topic Application of Smart Technologies in Buildings)

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