Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optimisations: A state-of-the-art review

2020 ◽  
Vol 130 ◽  
pp. 109889 ◽  
Author(s):  
Yuekuan Zhou ◽  
Siqian Zheng ◽  
Zhengxuan Liu ◽  
Tao Wen ◽  
Zhixiong Ding ◽  
...  
Keyword(s):  
Machine Learning ◽  
Phase Change ◽  
Phase Change Materials ◽  
State Of The Art ◽  
Energy Systems ◽  
Active Phase ◽  
Building Energy ◽  
Adaptive Designs ◽  
Building Energy Systems

Automated data-driven modeling of building energy systems via machine learning algorithms

2019 ◽  
Vol 202 ◽  
pp. 109384 ◽  
Author(s):  
Martin Rätz ◽  
Amir Pasha Javadi ◽  
Marc Baranski ◽  
Konstantin Finkbeiner ◽  
Dirk Müller
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Energy Systems ◽  
Building Energy ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
Building Energy Systems ◽  
Data Driven Modeling

scholarly journals Packing Heat: Energy Storage Using Phase Change Materials

2013 ◽  
Vol 4 (1) ◽  
pp. 97-107
Author(s):  
Pranay Shrestha
Keyword(s):  
Energy Storage ◽  
Phase Change ◽  
Energy Demand ◽  
Phase Change Materials ◽  
Building Energy ◽  
High Energy ◽  
Demand And Supply ◽  
Storage Mechanism ◽  
Building Energy Systems ◽  
Problem Solving Process

Many technological applications that involve intermittent energy demand and supply, such as solar or building energy systems, function more effectively if there is a storage mechanism to act as a buffer. Phase Change Materials (PCMs) can greatly increase the energy storage capacity of conventional (sensible energy) storage systems because of the high-energy transfer during their phase transition. With the help of PCMs, larger amounts of energy can be stored in smaller volume and at lower temperatures (resulting in lower insulation costs). This research paper discusses the problem-solving process of selecting a novel PCM (myristic acid) and designing a model apparatus to measure its thermal properties and behaviour. Experiments were conducted on water to calibrate the apparatus and estimate the errors in the experiment.

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