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RSS FeedsEnergies, Vol. 12, Pages 4734: A Study on Energy-Saving Technologies Optimization towards Nearly Zero Energy Educational Buildings in Four Major Climatic Regions of China (Energies)

 
 

12 december 2019 11:02:48

 
Energies, Vol. 12, Pages 4734: A Study on Energy-Saving Technologies Optimization towards Nearly Zero Energy Educational Buildings in Four Major Climatic Regions of China (Energies)
 


An educational building is a kind of public building with a high density of occupants and high energy consumption. Energy-saving technology utilization is an effective measure to achieve high-performance buildings. However, numerous studies are greatly limited to practical application due to their strong regional pertinence and technical simplicity. This paper aims to further optimize various commonly used technologies on the basis of the current national standards, and to individually establish four recommended technology selection systems corresponding to four major climatic regions for realizing nearly zero energy educational buildings (nZEEBs) in China. An educational building was selected as the case study. An evaluation index of energy-saving contribution rate (ECR) was proposed for measuring the energy efficiency of each technology. Thereafter, high energy efficiency technologies were selected and implemented together in the four basic cases representing different climatic regions. The results showed that the total energy-saving rate in severe cold regions increased by 70.74% compared with current national standards, and about 60% of the total energy-saving rate can be improved in cold regions. However, to realize nZEEBs in hot summer and cold winter regions as well as in hot summer and warm winter regions, photovoltaic (PV) technology needs to be further supplemented.


 
337 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 12, Pages 4735: Design, Simulation, and Economic Optimization of an Off-Grid Photovoltaic System for Rural Electrification (Energies)
Energies, Vol. 12, Pages 4744: Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber-Physical Approach (Energies)
 
 
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