PLUG-N-HARVEST Architecture for Secure and Intelligent Management of Near-Zero Energy Buildings

Marin-Perez, Rafael; Michailidis, Iakovos; García-Carrillo, Dan; Korkas, Christos; Kosmatopoulos, Elias B.; Skarmeta, Antonio F.

doi:10.3390/s19040843

Cited by 11 publications

(6 citation statements)

References 30 publications

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“…From the sustainability perspective, a large number of papers examined the BIM capability in estimating the embodied environmental impact of buildings, performing life cycle assessment during design and energy assessments of buildings [23][24][25][26][27]. Some others used BIM to reduce variability, reduce cycle times, reduce batch sizes, increase flexibility, and standardize designs [24].…”

Section: Introductionmentioning

confidence: 99%

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

et al. 2020

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There is a need to apply lean approaches in construction projects. Both BIM and IoT are increasingly being used in the construction industry. However, using BIM in conjunction with IoT for sustainability purposes has not received enough attention in construction. In particular, the capability created from the combination of both technologies has not been exploited. There is a growing consensus that the future of construction operation tends to be smart and intelligent, which would be possible by a combination of both information systems and sensors. This investigation aims to find out the recent efforts of utilizing BIM for lean purposes in the last decade by critically reviewing the published literature and identifying dominant clusters of research topics. More specifically, the investigation is further developed by identifying the gaps in the literature to utilize IoT in conjunction with BIM in construction projects to facilitate applying lean techniques in a more efficient way in construction projects. A systematic review method was designed to identify scholarly papers covering both concepts “lean” and “BIM” in construction and possibilities of using IoT. A total of 48 scholarly articles selected from 26 construction journals were carefully reviewed thorough perusal. The key findings were discussed with industry practitioners. The transcriptions were analyzed employing two coding and cluster analysis techniques. The results of the cluster analysis show two main directions, including the recent practice of lean and BIM interactions and issues of lean and BIM adoption. Findings revealed a large synergy between lean and BIM in control interactions and reduction in variations, and surprisingly there are many uncovered areas in this field. The results also show that the capability of IoT is also largely not considered in recent developments. The number of papers covering both lean and BIM is very limited, and there is a large clear gap in understanding synergetic interactions of lean concepts applying in BIM and IoT in specific fields of construction such as sustainable infrastructure projects.

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Section: Introductionmentioning

confidence: 99%

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

et al. 2020

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“…PLUG-N-HARVEST architecture is used for controlling near-zero adaptable/dynamic building envelopes (ADBE) with a safe connection between cloud systems and building infrastructure [41].…”

Section: Topic and Objective Technology And Feature Outcome And Futurmentioning

confidence: 99%

“…Detailed descriptions of the relevant practices identified in the AISH literature are presented after the table. In this group, Marin-Perez, Michailidis, Garcia-Carrillo, Korkas, Kosmatopoulos and Skarmeta [41] designed a system architecture for increasing the energy efficiency of both smart homes and smart commercial buildings. The proposed model components include the following items:…”

Section: Group 3: Energy Management and Artificial Intelligencementioning

confidence: 99%

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

et al. 2020

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This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

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“…Researchers presented a low-cost solution for implementing power consumption and environmental monitoring using an open-source IoT infrastructure, the monitoring in educational buildings [31][32][33][34]. With the use of IoT devices, it provides insights derived from initial results which concerns a deployment inside a university building.…”

Section: B Limitations Of Previous Workmentioning

confidence: 99%

A Cyber-Physical System to Detect IoT Security Threats of a Smart Home Heterogeneous Wireless Sensor Node

2020

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PLUG-N-HARVEST Architecture for Secure and Intelligent Management of Near-Zero Energy Buildings

Cited by 11 publications

References 30 publications

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

A Cyber-Physical System to Detect IoT Security Threats of a Smart Home Heterogeneous Wireless Sensor Node

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