No abstract

No abstract

The smart grid includes wide-area applications in which inter-substation communication is required to realize innovative monitoring, protection, and control solutions. Internet-based data exchange, i.e., communication over Internet Protocol (IP), is regarded as the latest trend for inter-substation communication. Interoperability can be achieved via the use of standardized IEC 61850-90-5 messages communicating over IP. Wide-area applications can obtain benefits from IP-multicast technologies and use a one-to-many communication model among substations communicating across a communication network. Cellular Internet is being considered as a potential cost-efficient solution which can be used for the IP-multicast communication. However, it requires knowledge of communicating uncommon IP-multicast traffic over the Internet. Moreover, it presents challenges in terms of cybersecurity and real-time requirements. These challenges must be overcome to realize authentic and correct operation of the wide-area applications. There is thus a need to examine communication security and to evaluate if the communication network characteristics satisfy the application real-time requirement. This paper investigates the secure communication of IEC61850-90-5 multicast messages over the public communication network and proposes two network architectures using the Generic Routing Encapsulation (GRE) tunnel and multipoint GRE (mGRE) within Dynamic Multipoint VPN (DMVPN). Additionally, this paper evaluates the feasibility of cellular (5G and 4G) Internet for the communication of multicast Routable Generic Object Oriented Substation Events (R-GOOSE) messages in wide-area protection applications. For this purpose, we introduce a lab setup to experiment the transmission of R-GOOSE messages within the proposed network architectures. The lab setup contains both software and hardware components. A software application is developed to publish multicast R-GOOSE with a fresh timestamp acquired from time synchronization equipment. These messages are transmitted over the Internet by computer networking devices that support cellular communication. The communication latency of the transmitted messages is measured and analyzed statistically. The statistical analysis results are discussed to evaluate performance of R-GOOSE over cellular Internet for two communication-based protection applications: Logic Selectivity and Loss-of-Main protection schemes.

No abstract

No abstract

PurposeBuilding information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.Design/methodology/approachThis paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.FindingsFour domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.Originality/valueThis paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

No abstract

No abstract