scholarly journals A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1395
Author(s):  
Shuang Yuan ◽  
Zhen-Zhong Hu ◽  
Jia-Rui Lin ◽  
Yun-Yi Zhang
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Building Energy ◽  
Primary Energy ◽  
Human Society ◽  
Building Energy Consumption ◽  
Unified Framework ◽  
Information Models ◽  
Consumption Data ◽  
Building Information

Buildings account for a majority of the primary energy consumption of the human society, therefore, analyses of building energy consumption monitoring data are of significance to the discovery of anomalous energy usage patterns, saving of building utility expenditures, and contribution to the greater environmental protection effort. This paper presents a unified framework for the automatic extraction and integration of building energy consumption data from heterogeneous building management systems, along with building static data from building information models to serve analysis applications. This paper also proposes a diagnosis framework based on density-based clustering and artificial neural network regression using the integrated data to identify anomalous energy usages. The framework and the methods have been implemented and validated from data collected from a multitude of large-scale public buildings across China.

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.

scholarly journals Design and Implementation of Large-Scale Public Building Energy Consumption Monitoring Platform Based on BP Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiancheng Liu ◽  
Congxiang Tian
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Bp Neural Network ◽  
Large Scale ◽  
Rapid Development ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Fast Training ◽  
Simulation Calculation ◽  
Monitoring Platform

With the rapid development of network technology, people are increasingly dependent on the internet. When BP neural network (BNN) performs simulation calculation, it has the advantages of fast training speed, high accuracy, and strong robustness and is widely used in large-scale public (LSP) building energy consumption (BEC) monitoring platforms (LPB). Therefore, the purpose of this paper to study the energy consumption monitoring platform of large public (LP) buildings is to better monitor the energy consumption of public buildings, so as to supplement or remedy at any time. This article mainly uses the data analysis method and the experimental method to carry on the relevant research and the system test to the BNN. The experimental results show that the monitoring system (MS) platform designed in this paper has real-time performance, and its time consumption is between 2 s and 3 s, and the data accords with theory and reality.

scholarly journals Using Building Information & Energy Modelling for Energy Efficient Designs

2021 ◽  
Vol 26 ◽  
pp. 427-440
Author(s):  
Mohamed K. Watfa ◽  
Amal E. Hawash ◽  
Kamal Jaafar
Keyword(s):  
Energy Consumption ◽  
Construction Industry ◽  
Energy Use ◽  
Orientation Angle ◽  
Green Building ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Building Orientation ◽  
Building Information

The construction industry has a huge impact on the environment in terms of noise, water and land pollution, traffic congestion and waste disposal. Another aspect of the construction industry impact on the environment is the increasing energy consumption. According to published research, buildings energy use is expected to increase by 32% by the year 2040. As a result, efforts have been directed toward improving green building awareness and the application of sustainability concepts in the design, construction and building management processes. In this research, using extensive simulations, the integration between Building Information Modeling methodology (BIM) and Building Energy Modeling (BEM) methodologies in order to effectively minimize the overall energy consumption of a residential building in the UAE is investigated by studying several design factors including: building orientation and windows type, size and distribution on the overall building energy consumption. Results show that to increase the modelled building’s energy and financial efficiency, recommended changes to the initial design have to be done including changing the distribution of the southern façade and the type of windows glazing used. More specifically, there was a peak energy reduction of: 8% with a 180 degrees building orientation angle, 2% with a window to wall ratio of 15%, and 2% when double glazing windows were used. This work validates that the combination of BIM and BEM allows to enhance the overall building energy consumption efficiency and to further establish the needed sustainability goals through a generated 3D model.

Sign in / Sign up

Export Citation Format

Share Document