A smart material built upon the photo-thermochromic effect and its use for managing indoor temperature

2021 ◽  
Author(s):  
Song Shen ◽  
Tong Wu ◽  
Jiajia Xue ◽  
Haoxuan Li ◽  
Haoyan Cheng ◽  
...  
Keyword(s):  
Energy Management ◽  
Polymer Matrix ◽  
Building Energy ◽  
Smart Material ◽  
Indoor Temperature ◽  
Building Energy Management ◽  
Thermochromic Effect

We demonstrate a material by dispersing a thermochromic mixture of leuco dye, developer, and solvent as microspheres in a polymer matrix to improve the efficiency of building energy management. The...

scholarly journals Building Energy Management Strategy Using an HVAC System and Energy Storage System

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2690 ◽  
Author(s):  
Nam-Kyu Kim ◽  
Myung-Hyun Shim ◽  
Dongjun Won
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Energy Management ◽  
Peak Load ◽  
Building Energy ◽  
Load Reduction ◽  
Reduction Algorithm ◽  
Hvac System ◽  
Indoor Temperature ◽  
Building Energy Management

Recently, a worldwide movement to reduce greenhouse gas emissions has emerged, and includes efforts such as the Paris Agreement in 2015. To reduce greenhouse gas emissions, it is important to reduce unnecessary energy consumption or use environmentally-friendly energy sources and consumer products. Many studies have been performed on building energy management systems and energy storage systems (ESSs), which are aimed at efficient energy management. Herein, a heating, ventilation, and air-conditioning (HVAC) system peak load reduction algorithm and an ESS peak load reduction algorithm are proposed. First, an HVAC system accounts for the largest portion of building energy consumption. An HVAC system operates by considering the time-of-use price. However, because the indoor temperature is constantly changing with time, load shifting can be expected only immediately prior to use. Therefore, the primary objective is to reduce the operating time by changing the indoor temperature constraint at the forecasted peak time. Next, numerous research initiatives on ESSs are ongoing. In this study, we aim to systematically design the peak load reduction algorithm of ESS. The structure is designed such that the algorithm can be applied by distinguishing between the peak and non-peak days. Finally, the optimization scheduling simulation is performed. The result shows that the electricity price is minimized by peak load reduction and electricity usage reduction. The proposed algorithm is verified through MATLAB simulations.

A framework for a multi-source, data-driven building energy management toolkit

2021 ◽  
pp. 111255
Author(s):  
Andre A. Markus ◽  
Brodie W. Hobson ◽  
H. Burak Gunay ◽  
Scott Bucking
Keyword(s):  
Energy Management ◽  
Building Energy ◽  
Data Driven ◽  
Building Energy Management ◽  
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