STUDY AND ANALYSIS OF THERMAL ENERGY STORAGE
Proceeding: The International Conference on Electrical and Electronics Engineering, Clean Energy and Green Computing (EEECEGC)Publication Date: 2013-11-11
Authors : Hanane El Hayek; Roland Horro; Nazih Moubayed;
Page : 151-157
Keywords :
- A NEW SECURE DATABASE MODEL BASED ON THE HASH ALGORITHM AND CELLULAR AUTOMATA
- Watermark Authentication for Secure Data Aggregation in WSN Based on Secure Hash Algorithm and Node Identifier
- Efficient Mapping Algorithm on Mesh-based NoCs in Terms of Cellular Learning Automata
- Designing a Hybrid Clustering Routing Algorithm based on Cellular Learning Automata for Optimizing Lifetime of Wireless Sensor Networks
- DEEP LEARNING FOR HEALTH INFORMATICS: A SECURE CELLULAR AUTOMATA
Abstract
Saving energy and reducing pollution have become nowadays universal interests. Money and human effort are mobilized everywhere around the globe in a temptation to save what's left of the Planet and preserve it to the future generations. One of the most effective ways proposed is to reduce energy consumption. However, required levels of hygiene and human comfort require important energy production and consumption. On the other hand, the construction sector is by far the largest energy consumer, and accounts for more than 30% of total global energy consumption, that mainly comes from heating and cooling living spaces. Therefore, and in order to preserve the environment and the resources, and to enable sustainable development, new sober and clean technologies are nowadays being purchased. This paper treats the thermal storage in buildings. Thermal analysis of a wall with Phase Change Materials (PCM) is treated, modeled then simulated.
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Last modified: 2014-01-05 06:38:07