scholarly journals Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency

2021 ◽  
Vol 11 (2) ◽  
pp. 763
Author(s):  
Hooman Farzaneh ◽  
Ladan Malehmirchegini ◽  
Adrian Bejan ◽  
Taofeek Afolabi ◽  
Alphonce Mulumba ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Use ◽  
Evaluation Framework ◽  
Smart Buildings ◽  
Building Management ◽  
Urban Energy ◽  
Building Management System ◽  
Energy Use Prediction ◽  
Demand Response Programs

The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings, energy consumption can be reduced through better control, improved reliability, and automation. This paper is an in-depth review of recent studies on the application of artificial intelligence (AI) technologies in smart buildings through the concept of a building management system (BMS) and demand response programs (DRPs). In addition to elaborating on the principles and applications of the AI-based modeling approaches widely used in building energy use prediction, an evaluation framework is introduced and used for assessing the recent research conducted in this field and across the major AI domains, including energy, comfort, design, and maintenance. Finally, the paper includes a discussion on the open challenges and future directions of research on the application of AI in smart buildings.

A method for energy efficiency assessment during urban energy planning

2014 ◽  
Vol 3 (2) ◽  
pp. 132-152 ◽  
Author(s):  
Karin Regina de Casas Castro Marins
Keyword(s):  
Energy Efficiency ◽  
Urban Areas ◽  
Energy Use ◽  
Energy Performance ◽  
Urban Morphology ◽  
Pollutant Emissions ◽  
Energy Planning ◽  
Bottom Up ◽  
Content Type ◽  
Urban Energy

Purpose – Energy use in urban areas has turned a subject of local and worldwide interest over the last few years, especially emphasized by the correlated greenhouse gases emissions. The purpose of this paper is to analyse the overall energy efficiency potential and emissions resulting from integrated solutions in urban energy planning, in the scale of districts and neighbourhoods in Brazil. Design/methodology/approach – The approach is based on the description and the application of a method to analyse energy performance of urban areas and support their planning. It is a quantitative bottom-up method and involves urban morphology, urban mobility, buildings and energy supply systems. Procedures are applied to the case study of Agua Branca urban development area, located in Sao Paulo, Brazil. Findings – In the case of Agua Branca area, energy efficiency measures in buildings have shown to be very important mostly for the buildings economies themselves. For the area as a whole, strategies in promoting public transport are more effective in terms of energy efficiency and also to decrease pollutant emissions. Originality/value – Literature review has shown there is a lack of approaches and procedures able to support urban energy planning at a community scale. The bottom-up method presented in this paper integrates a plenty of disaggregated and multisectoral parameters at the same stage in urban planning and shows that is possible to identify the most promising actions by building overall performance indexes.

scholarly journals Application of nD BIM Integrated Knowledge-based Building Management System (BIM-IKBMS) for inspecting post-construction energy efficiency

2017 ◽  
Vol 72 ◽  
pp. 935-949 ◽  
Author(s):  
Ali GhaffarianHoseini ◽  
Tongrui Zhang ◽  
Okechukwu Nwadigo ◽  
Amirhosein GhaffarianHoseini ◽  
Nicola Naismith ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Management System ◽  
Knowledge Based ◽  
Building Management ◽  
Building Management System ◽  
Integrated Knowledge

scholarly journals EVALUATION CRITERIA OF THE OFFICE BUILDINGS INTELLECTUALITY

2021 ◽  
Vol 3 (1) ◽  
pp. 39-52
Author(s):  
Golub K ◽  
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Negative Impact ◽  
Office Buildings ◽  
Office Building ◽  
Engineering Systems ◽  
Intelligent Building ◽  
Intelligent Buildings ◽  
Building Management ◽  
Building Management System

The article defines the main criteria of office buildings intelligence, describes the stages of intelligent buildings formation, analyzes the profitability of the introduction of modern technical means (engineering systems) and architectural planning techniques in office buildings. At different stages of civilization, the concept of "technology" defines the path leading to future progress, and the rate of technology change is directly proportional to the rate of progress. Nowadays, artificial intelligence is extremely important for the functioning of modern office buildings, including the impact on the environment, resource conservation, safety, comfort and life support. According to research based on the works of scientists such as Derek Clements-Croome, Mervi Himannen, Akin Adejimi and others, and based on the analysis of intellectual buildings of the world from the 50s of the twentieth century to the present, 4 stages of intelligent buildings formation were identified. At the first stage (1950-1980) of the formation, separate controllers were introduced. At the second stage (1980-1995), the introduction of the "artificial intelligence" - Building Management System (BMS) - was developed and used. At the third stage (from 1995 to 2010) an intelligent building management system (IBMS) was introduced, which can independently identify threats, look for ways to achieve results and make decisions. Starting from 2010, we can highlight the fourth stage of development of the intelligent buildings, in which, in addition to the availability of the intelligent management system (IBMS), it became necessary to use approaches of sustainable architecture. The research results indicate that the office building should be classified as an "intelligent building" if it meets the following criteria: 1. Has artificial intelligence (IBMS), which autonomously manages the building; 2. Has at least 15 thousand information points, in other words, sensors and controllers, through which information is received from controlled engineering systems about the state of equipment and the environment, the state of building structures, etc.; 3. Complies with the principles of sustainable architecture, when planning and architectural techniques can minimize the negative impact of buildings on the environment through energy efficiency. The article proves that the office buildings intelligence is determined by the availability of both technological means and the optimal architectural concept, which minimize the negative impact of buildings on the environment; improve energy efficiency and conditions of the building exploitation. Therefore, further research of intelligent buildings from the point of architectural view is necessary, because a modern office building must be designed with the ability to adapt to rapid changes in technology and human needs.

scholarly journals Strategies to Improve Urban Energy Efficiency for Urban Resilience

2021 ◽  
Vol 1203 (2) ◽  
pp. 022020
Author(s):  
Yalim Gültekin
Keyword(s):  
Climate Change ◽  
Energy Efficiency ◽  
Renewable Energy ◽  
Human Activities ◽  
Urban Form ◽  
Energy Use ◽  
Building Design ◽  
Urban Resilience ◽  
Spatial Strategies ◽  
Urban Energy

Abstract Greenhouse gas (GHG), which is a determining factor in climate change is a result of human activities, namely climate change is human-caused (anthropogenic). Cities, where 60% of the world's population of approximately 7.3 billion living today, are responsible for 60-80% consumption of energy, which is the lifeblood of intense human activities, thus at least 70% of GHG. Nevertheless, cities are the cause of climate change and other global environmental problems, as well as the innovation centres and laboratories to deal with their impact. With climate change becoming more explicit and active in the 21st century, researchers, governments and international institutions question cities’ strength/vulnerability against these problems, especially their energy production and consumption patterns that cause GHG, and they anticipate that urban resilience be the motivating force for urban policies. The widespread and effective use of renewable energy is regarded as an influential tool against climate change. However, this should be endorsed by spatial strategies. In the light of this approach, this study evaluates the urban form, building design and production technologies that are focused on energy efficiency and renewable energy use.

scholarly journals A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal Building Management

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4745 ◽  
Author(s):  
Dana-Mihaela Petroșanu ◽  
George Căruțașu ◽  
Nicoleta Luminița Căruțașu ◽  
Alexandru Pîrjan
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
Scientific Literature ◽  
The Body ◽  
Learning Models ◽  
Smart Buildings ◽  
Building Management ◽  
Sensor Devices ◽  
Recent Developments ◽  
Machine Learning Models

Lately, many scientists have focused their research on subjects like smart buildings, sensor devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence in the smart buildings sector, improving life quality within smart homes, assessing the occupancy status information, detecting human behavior with a view to assisted living, maintaining environmental health, and preserving natural resources. The main purpose of our review consists of surveying the current state of the art regarding the recent developments in integrating supervised and unsupervised machine learning models with sensor devices in the smart building sector with a view to attaining enhanced sensing, energy efficiency and optimal building management. We have devised the research methodology with a view to identifying, filtering, categorizing, and analyzing the most important and relevant scientific articles regarding the targeted topic. To this end, we have used reliable sources of scientific information, namely the Elsevier Scopus and the Clarivate Analytics Web of Science international databases, in order to assess the interest regarding the above-mentioned topic within the scientific literature. After processing the obtained papers, we finally obtained, on the basis of our devised methodology, a reliable, eloquent and representative pool of 146 papers scientific works that would be useful for developing our survey. Our approach provides a useful up-to-date overview for researchers from different fields, which can be helpful when submitting project proposals or when studying complex topics such those reviewed in this paper. Meanwhile, the current study offers scientists the possibility of identifying future research directions that have not yet been addressed in the scientific literature or improving the existing approaches based on the body of knowledge. Moreover, the conducted review creates the premises for identifying in the scientific literature the main purposes for integrating Machine Learning techniques with sensing devices in smart environments, as well as purposes that have not been investigated yet.

scholarly journals Interactive Design to Encourage Energy Efficiency in Offices: Developing and Testing a User-Centered Building Management System Based on a Living Lab Approach

2020 ◽  
Vol 12 (17) ◽  
pp. 6956 ◽  
Author(s):  
Carolin Baedeker ◽  
Julius Piwowar ◽  
Philipp Themann ◽  
Viktor Grinewitschus ◽  
Benjamin Krisemendt ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Management System ◽  
Heating System ◽  
System Optimization ◽  
Interactive Design ◽  
Office Buildings ◽  
Living Lab ◽  
Building Management ◽  
Building Management System ◽  
User Centered

Many technical solutions have been developed to enhance the energy efficiency in buildings. However, the actual effectiveness and sustainability of these solutions often do not correspond to expectations because of the missing perspective of design, user’s real needs, and unconsidered negative side effects of their use (rebounds). With the aim to help address these challenges, this paper presents results of a longitudinal living lab study and proposes a user-centered building management system (UC-BMS) as a prototype for office buildings. Based on mixed methods, UC-BMS was co-developed, tested, and evaluated in Germany in up to six office buildings, 85 offices, and within two heating periods. The results demonstrate that such user-oriented approach can save up to 20% of energy while maintaining or even improving comfort and work productivity. The findings show three main areas of intervention and elements of UC-BMS: (1) How interactive design and feedback systems (e.g., air quality) can stimulate ventilation practices and energy efficiency in offices and (2) supporting heating system optimization e.g., by better understanding office behavior. (3) Finally, an office comfort survey was conducted to enable communication between facility management and office users and thus limiting complaints and adapting the heating system towards actual office user needs.

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