scholarly journals Study on clustering analysis of building energy consumption data

2021 ◽  
Vol 676 (1) ◽  
pp. 012061
Author(s):  
Yehong Li ◽  
Jiankun Yang ◽  
Xiangyang Jiang
Keyword(s):  
Energy Consumption ◽  
Clustering Analysis ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Consumption Data

Perception and Management System for Building Energy Consumption Based on Internet of Things Technology

2013 ◽  
Vol 291-294 ◽  
pp. 945-948 ◽  
Author(s):  
Feng Qin Yu ◽  
Bei Tian ◽  
Xin Zhang ◽  
Qiang Wang ◽  
Dan Shi Yu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Management System ◽  
Building Energy ◽  
Transport Layer ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Consumption Data ◽  
Internet Of Things Technology

The building energy consumption is one of three in China's energy consumption, the detection and monitoring for energy consumption of building is the basis for the work of building energy efficiency. This article describes a perception, monitoring and management system of building energy consumption based on Internet of Things technology architecture, in the system, various energy instrumentation is installed inside the building and measurement all kinds of energy consumption data in the perception layer, collection daterminal data connected to the RS485 bus access gateway for data transmission via Ethernet or mobile communication network in the network layer and transport layer, deal with the statistical analysis of the energy consumption data in the application layer. The system has been successfully applied to more than 50 large-scale public building to implement energy consumption monitoring and management, and the support of the underlying data for building energy efficiency.

Retrospective Testing of an Automated Building Commissioning Analysis Tool (ABCAT)

2009 ◽  
Author(s):  
Guanjing Lin ◽  
David E. Claridge
Keyword(s):  
Energy Consumption ◽  
Implementation Process ◽  
Building Energy ◽  
Energy Performance ◽  
Diagnostic Techniques ◽  
Analysis Tool ◽  
Building Energy Consumption ◽  
Building Commissioning ◽  
Consumption Data ◽  
Cost Efficient

Commissioning services have proven successful in reducing building energy consumption, but the optimal energy performance obtained by commissioning may subsequently degrade. Automated Building Commissioning Analysis Tool (ABCAT), which combines a calibrated simulation with diagnostic techniques, is a simple and cost efficient tool that can help maintain the optimal building energy performance after building commissioning. It can continuously monitor whole building energy consumption, warn operation personnel when an HVAC system problem has increased energy consumption, and assist them in identifying the possible cause(s) of the problem. This paper presents the results of a retrospective implementation of ABCAT on five buildings, each of which has at least three years of post-commissioning daily energy consumption data, on the Texas A&M University campus. The methodology of ABCAT is reviewed and the implementation process of ABCAT on one building is specifically illustrated. Eighteen faults were detected in 15 building-years of consumption data with a defined fault detection standard. The causes of some of the detected faults are verified with historical documentation. The remaining fault diagnoses remain unconfirmed due to data quality issues and incomplete information on maintenance performed in the buildings.

scholarly journals A low power data transfer and fusion algorithm for building energy consumption monitoring

2019 ◽  
Vol 14 (3) ◽  
pp. 426-431 ◽  
Author(s):  
Cuimin Li ◽  
Dandan Shen ◽  
Lei Wang
Keyword(s):  
Energy Consumption ◽  
Data Transmission ◽  
Building Energy ◽  
Reduction Factor ◽  
Low Energy ◽  
Small Data ◽  
Building Energy Consumption ◽  
Fusion Algorithm ◽  
Consumption Data ◽  
Low Energy Consumption

Abstract Building Energy Internet of Things could collect and analyse various types of building energy consumption data in real time by means of low-energy consumption and high-precision sensing technology. In this paper, a low-energy consumption data transmission and fusion algorithm SMART-RR (Slice Mix Agg RegaTe-Repeatablibity Reduction) is proposed. Taking advantage of the periodic repeatability and data redundancy of building energy consumption data, a data fusion strategy with unequal long time intervals and adding repeatability reduction factor is proposed. The simulation results show that SMART-RR algorithm is a low-energy data transmission and fusion algorithm with small data traffic, high privacy protection and high accuracy.

scholarly journals Data Acquisition and Transmission System for Building Energy Consumption Monitoring

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Liang Zhao ◽  
Jili Zhang ◽  
Ruobing Liang
Keyword(s):  
Energy Consumption ◽  
Data Acquisition ◽  
Low Cost ◽  
Building Energy ◽  
Mass Storage ◽  
Building Energy Consumption ◽  
Time Data ◽  
Tcp Protocol ◽  
Consumption Data ◽  
Sd Card

Building energy consumption monitoring and management system have been developed widely in China in order to gain the real-time data of energy consumption in buildings for analyzing it in the next state work. This paper describes a low-cost and small-sized collector based on the STM32 microcontroller, which can be placed in a building easily to implement the work of data acquisition, storage, and transmission. The collector gathers the electricity, water, heat, and energy consumption data through the RS485 field bus and stores the data into an SD card with mass storage, finally, using Internet to finish the communication and transmission to data server through TCP protocol. The collector has been used in application for two years, and the results show that the system is reliable and stable.

Design of Green Building Energy Consumption Data Acquisition System Based on Biological Nano Sensors

2020 ◽  
Vol 12 (2) ◽  
pp. 184-195
Author(s):  
Chuan Wang ◽  
Lei Shi ◽  
Junying Guo ◽  
Sufang Liu
Keyword(s):  
Energy Consumption ◽  
Data Acquisition ◽  
Green Building ◽  
Data Acquisition System ◽  
Building Energy ◽  
Acquisition System ◽  
Building Energy Consumption ◽  
Data Collector ◽  
Consumption Data ◽  
Nano Sensors

The traditional energy consumption data acquisition system for green building has low accuracy. Based on biological nano-sensors, the energy consumption data acquisition system for green building is optimized. The original chip of the data acquisition sensor of AD9280 chip is adopted, the sampling circuit of energy data is designed according to the construction of attenuation circuit, and the rs-485 communication interface electricity meter is connected with the data collector reflecting the building energy consumption to complete the system hardware design. The function of the data collector was analyzed and the collection program was designed. The energy consumption data analysis method was designed after the serial port code was converted to complete the software design of the energy consumption data collection system for green buildings. It is found that the designed system solves the problem of "data missing zero" and can effectively eliminate the fault of communication lines. Moreover, when the data volume is 800 bits, the time of the energy consumption data acquisition system is only 2.5 s, which is significantly lower than the other two collection methods, and the collection efficiency is high.

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