Abstract:
Carbon emissions from residential buildings have drastically increased in the recent past because of lifestyle changes. Hence, there is a critical necessity to implement carbon reduction pathways, and among them, carbon emissions monitoring can be identified as one of the prerequisites for carbon reduction. Many researchers have attempted to deploy various technologies for this purpose, such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), and electricity big data to name a few. This research aims to review the adaptability of IoT for carbon emissions monitoring in residential buildings through a bibliometric analysis of key literature. Accordingly, a Scopus-based systematic review was conducted to analyse the journal articles related to the IoT, carbon emissions monitoring and residential buildings and their intersection. The bibliometrics techniques were used for the analysis of the results of the systematic review. As the primary implication of this research, the bibliometric analysis outcomes significantly contribute to identifying the number of published journals, leading journal authors, and countries active in this field. Accordingly, the outcomes reveal that the number of published articles has consistently increased over the last ten years. Further, the 'Journal of Energies' had published the highest number of articles. Secondly, the proposed framework gives important insights into the intersection of IoT, carbon emissions monitoring and residential buildings including the different types of carbon emission from residential buildings and potential outcomes from IoT-based carbon emission monitoring platforms.
