Design of Building Energy Consumption Monitoring System

2014 ◽  
Vol 1008-1009 ◽  
pp. 1274-1277
Author(s):  
Chong Chao Pan ◽  
Zheng Qian Feng
Keyword(s):  
Energy Consumption ◽  
Monitoring System ◽  
Full Range ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Effective Measure ◽  
Control Optimization ◽  
Optimization Control ◽  
Networking Technology ◽  
Energy Equipment

Building energy consumption has become large energy consumption in our country. In order to realize the full range of buildings energy-saving, this paper designed a building energy monitoring system and which can effective measure, monitor, control and regulate each energy equipment and systems within the building. It makes a large number of dispersed energy data sort, optimization, control and reasonable allocation by combining networking technology and cloud computing technology, forming the construction of community energy overall control, optimization, service and redistribution system. Finally realizes the monitoring, control of buildings energy consumption, achieving the purpose of saving the energy.

scholarly journals Research on the Building Energy Saving Development Planning Workout Pattern

2012 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Ling Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Development Planning ◽  
Planning Problem ◽  
Building Energy Consumption ◽  
Effective Measure ◽  
Building Energy Saving ◽  
Current Stage

<p>Based on the national situation and combined with status of building energy consumption, building energy saving development planning is the most effective measure to deal with the building energy consumption problem in China. Given the building energy saving development planning problem, proposals are given in terms of the planning patterns, planning flow and the organization, which would be of practical value to the implementation of building efficiency planning in China at current stage.</p>

Parametric Analysis of Building Elements on Building Energy Use

2015 ◽  
Vol 74 (4) ◽  
Author(s):  
Atefeh Mohammadpour ◽  
Mohammad Mottahedi ◽  
Shideh Shams Amiri ◽  
Somayeh Asadi ◽  
David Riley ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Full Range ◽  
Building Energy ◽  
Energy Performance ◽  
Simulation Software ◽  
Design Parameters ◽  
Building Energy Consumption ◽  
Commercial Building ◽  
Building Shape

Building energy modeling is essential to estimate energy consumption of buildings. Predicting building energy consumption benefits the owners, designers, and facility managers by enabling them to have an overview of building energy consumption and can help them to determine building energy performance during the design phase. This paper focuses on two different shapes of commercial building, H and rectangle to estimate energy consumption in buildings in three different climate zones, cold, hot-humid, and mixed-humid. To address this, DOE-2 building simulation software was used to build and simulate individual commercial building configurations that were generated using Monte Carlo simulation techniques. Ten thousand simulations for each building shape and climate zone were conducted to develop a comprehensive dataset covering the full range of design parameters. 

Energy Consumption Prediction and Monitoring System for Steel Structure Residential Buildings

2013 ◽  
Vol 409-410 ◽  
pp. 553-556
Author(s):  
Qiu Xia Wang ◽  
Chen Lin
Keyword(s):  
Energy Consumption ◽  
Expert System ◽  
Energy Saving ◽  
Monitoring System ◽  
Residential Buildings ◽  
Network Monitoring ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

Building energy consumption is a large proportion in energy consumption. In order to improve the building energy saving behavior, the building energy consumption prediction should be adopted in practice. Using the expert system to forecast and analyze energy consumption of a steel residential building in the north region, in which the factors: the power saving for buildings and the park electric equipment, heating system control, reclaimed water and solar energy are considered. The network monitoring system is established to realize monitoring energy consumption of buildings and parks. In this case, expert system network monitoring platform can provide managers with energy saving decision-making and environmental parameters and personnel information. Finally, the optimal control for equipments is realized by use of monitoring data.

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