Renewable Energy (RE) And Energy Efficiency (EE) Understanding And Awareness Among Secondary School Students And Teachers In Malaysia.

This study was conducted to find out teachers and secondary students perceptions on their awareness and understanding of Renewable Energy (RE) and Energy Efficiency (EE). Earlier in 2003, a program on Renewable Energy (RE) and Energy Efficiency (EE) has been implemented by the Center for Education, Training and Research for Renewable Energy (RE) and Energy Efficiency (EE) (CETREE), Universiti Sains Malaysia

Jobs from Renewable Energy and Energy Efficiency

According to research by Roger Bezdek for the American Solar Energy Society (ASES), the renewable energy (RE) and energy efficiency (EE) industries created a total of 8.5 million jobs (direct and indirect) in 2006; 450,000 jobs in RE and 8 million jobs in EE throughout the United States. As many as 1 out of 4 workers in the United States will be working in RE or EE industries by 2030. The 40 million jobs are not just engineering?related, but also include millions of new jobs in manufacturing, construction, accounting, and management.  

Flexible resource allocation for joint optimization of energy and spectral efficiency in OFDMA multi-cell networks

The radio resource allocation problem is studied, aiming to jointly optimize the energy efficiency (EE) and spectral efficiency (SE) of downlink OFDMA multi-cell networks. Different from existing works on either EE or SE optimization, a novel EE-SE tradeoff (EST) metric, which can capture both the EST relation and the individual cells’ preferences for EE or SE performance, is introduced as the utility function for each base station (BS). Then the joint EE-SE optimization problem is formulated, and an iterative subchannel allocation and power allocation algorithm is proposed. Numerical results show that the proposed algorithm can exploit the EST relation flexibly and optimize the EE and SE simultaneously to meet diverse EE and SE preferences of individual cells.<br/

Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying cellular networks with uplink channel reuse. The resource allocation problem is modeled as a noncooperative game, in which each user equipment (UE) is self-interested and wants to maximize its own EE. Given the SE requirement and maximum transmission power constraints, a distributed energy-efficient resource allocation algorithm is proposed by exploiting the properties of the nonlinear fractional programming. The relationships between the EE and SE tradeoff of the proposed algorithm and system parameters are analyzed and verified through computer simulations.Comment: 8 pages, 6 figures, long version paper of IEEE Wireless Communications Letters, accepted for publication. arXiv admin note: text overlap with arXiv:1405.196