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Title: A real-time recording model of key indicators for energy consumption and carbon emissions of sustainable buildings
Authors: Wu, Weiwei
Yang, Huanjia
Hou, Yanhong
Li, Qiming
Chew, David Ah Seng
Keywords: DRNTU::Engineering::Civil engineering
Issue Date: 2014
Source: Wu, W., Yang, H., Chew, D. A. S., Hou, Y., & Li, Q. (2014). A Real-Time Recording Model of Key Indicators for Energy Consumption and Carbon Emissions of Sustainable Buildings. Sensors, 14(5), 8465-8484.
Series/Report no.: Sensors
Abstract: Buildings’ sustainability is one of the crucial parts for achieving urban sustainability. Applied to buildings, life-cycle assessment encompasses the analysis and assessment of the environmental effects of building materials, components and assemblies throughout the entire life of the building construction, use and demolition. Estimate of carbon emissions is essential and crucial for an accurate and reasonable life-cycle assessment. Addressing the need for more research into integrating analysis of real-time and automatic recording of key indicators for a more accurate calculation and comparison, this paper aims to design a real-time recording model of these crucial indicators concerning the calculation and estimation of energy use and carbon emissions of buildings based on a Radio Frequency Identification (RFID)-based system. The architecture of the RFID-based carbon emission recording/tracking system, which contains four functional layers including data record layer, data collection/update layer, data aggregation layer and data sharing/backup layer, is presented. Each of these layers is formed by RFID or network devices and sub-systems that operate at a specific level. In the end, a proof-of-concept system is developed to illustrate the implementation of the proposed architecture and demonstrate the feasibility of the design. This study would provide the technical solution for real-time recording system of building carbon emissions and thus is of great significance and importance to improve urban sustainability.
ISSN: 1424-8220
DOI: 10.3390/s140508465
Rights: © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
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