Smart buildings features and key performance indicators: A review

Dakheel, Joud Al; Pero, Claudio Del; Aste, N.; Leonforte, Fabrizio

doi:10.1016/j.scs.2020.102328

Cited by 196 publications

(98 citation statements)

References 112 publications

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“…Construction process management as an internal and closeout and commissioning as a process involving external public authorities are expected to reflect digitalization tendencies such as virtual site and building inspection, virtual elements identification, quantity take off, and quality control by applying IoT, BIM, and GIS technology tools and communication technologies for digital While further discussing the results of this comparative study in the light of the previous research conducted by the authors and other researches, it is necessary to underline that the concepts all of the selected for analysis smart buildings were very precisely developed in terms of uniqueness, impact on sustainability, and selection of a project site location. Since the concept development very closely refers to the future building operation stage characteristics as well as interoperability between the smart building and the city, the concepts of all of the projects under the investigation included majority of the smart building features enlisted by Dakheel et al [9]. The development of these projects only in some cases were supported by government authorities, however the concept and pre-design stage results were widely presented for public hearing and the feedback was collected from the communities.…”

Section: Resultsmentioning

confidence: 99%

“…Buildings are the major users of water, materials, and land. Reducing the environmental impact of buildings is a priority in addressing climate change and other sustainability challenges [9]. Smart buildings are designed to preserve limited resources, contribute to the growth of perceived quality of life, and integrate individual building systems into a single whole.…”

Section: Introductionmentioning

confidence: 99%

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Smart Building Integration into a Smart City: Comparative Study of Real Estate Development

2020

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Smart buildings and smart cities are not the future perspectives anymore—the smart building integration into a smart city is an actual question for today and tomorrow. Development of smart buildings not only enhances the smart city concept but also promotes positivity to the urban development and national economy, and increases the quality of life of the whole population reacting to global challenges of sustainability. The innovative smart building and smart city technologies enable us to overcome these challenges by being employed through all real estate (RE) project development stages. The Evaluation Framework for Real Estate Development in Smart Cities created by the authors provides the possibility to assess the existing as well as to forecast future RE projects integration into a smart city during the whole life-cycle stage. The practical application of the presented evaluation framework was illustrated by the comparative case study. Based on the created smart building integration into a smart city evaluation framework for real estate development, 10 RE projects in Lithuania and over the world were assessed and rated by selected criteria relevant to different RE development stages. The evaluation results revealed that, especially at the design and construction stages, the existing intelligence of RE projects and/or cities is insufficient. Although real estate projects are technologically advanced as single entities, the integration into smart city networks is limited by interoperability capabilities of the cities or by different strategic goals settled by real estate developers.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Building Integration into a Smart City: Comparative Study of Real Estate Development

2020

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“…Global and transnational network structures are emerging (similar to the internet), which include both combined heat and power plants for generating electricity from fossil fuel, and installations based on renewable sources (photovoltaic converters, wind farms) and biogas power generators. Households also can generate energy using photovoltaic systems, biogas plants, or fuel cells, for themselves and other users [Al Dakheel et al, 2020]. This implements the "local activity" principle: the input from a domestic energy source is fed into the grid and contributes to global distribution patterns.…”

Section: From Socio-technical Systems To Intelligent Infrastructuresmentioning

confidence: 99%

Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View

Mainzer¹

2020

Foresight and STI Governance

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Information and communication technologies (ICT) which are transforming most areas develop non-linearly. Failure to take into account the nonlinear principles of complex dynamic systems hinders development of balanced innovation strategies. Companies and governments lose the ability to effectively respond to “grand challenges”. The linear approach does not allow covering a wide range of critical areas simultaneously in the scope of Foresight projects, prevents from applying an interdisciplinary approach to developing innovation strategies, correct risks assessment, and making informed decisions. The paper proposes a solution: management based on “cyber-physical systems” (CPS) built on dynamic complexity and nonlinearity principles. Such systems not only integrate computing and physical action but are embedded in everyday environment; they are more than the sum of multiple intelligent computing devices. CPS transforms into collective social systems, integrate information, energy, and material flows, and adapt to physical processes. Cyber-physical systems can offer a sustainable information infrastructure which serves as a prerequisite for building up the innovation potential of a company, region, or country. They make it possible to analyse all stages of an innovation project from the technical and organisational points of view simultaneously, cover all possible social consequences and challenges, and identify unexpected promising developments. CPS have a decentralised structure which allows to solve complex problems and manage large and complex structures in real time, such as an energy grid, transport, smart city, healthcare, etc.

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“…The concepts of smart cities [ 1 ], smart buildings [ 2 ], and smart homes [ 3 ] are being increasingly researched. These studies are mainly focused on environmental, energy, and safety issues [ 4 , 5 , 6 , 7 ]. Safety is an important research direction for realising smart living spaces with real-time monitoring, real-time interaction, and automation [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…These studies are mainly focused on environmental, energy, and safety issues [ 4 , 5 , 6 , 7 ]. Safety is an important research direction for realising smart living spaces with real-time monitoring, real-time interaction, and automation [ 6 ]. To achieve these functions, many studies have been performed on the use of the Internet of Things (IoT), the Internet, and machine learning in safety management [ 2 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

A Framework for an Indoor Safety Management System Based on Digital Twin

Liu

Zhang

Wang

2020

Sensors

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With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

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Smart buildings features and key performance indicators: A review

Cited by 196 publications

References 112 publications

Smart Building Integration into a Smart City: Comparative Study of Real Estate Development

Smart Building Integration into a Smart City: Comparative Study of Real Estate Development

Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View

A Framework for an Indoor Safety Management System Based on Digital Twin

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