Special Issue "Green IT and IT for Smart Energy Savings"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 May 2014)
Prof. Dr. Erol Gelenbe
Intelligent Systems and Networks, Imperial College London, London SW7 2AZ, UK
Interests: energy optimization; energy packet networks; networked systems; physical and biological networks; probability models; natural computation
Information technology (IT), including data centers, communication networks, and office or individual computer and mobile devices, are known to be responsible for roughly 2% of CO2 emissions world-wide, or roughly as much as the impact of air travel. Also, by some reports information technology consumes as much as 5% of all the electricity consumption in the world, and this ratio is increasing, despite major successes in reducing the energy consumption of data processing and communication devices per amount of processing or communication that is carried out across the world. The ever increasing need to communicate through technology, and to conduct our affairs based on information laboriously gleaned from huge data sets, are the major culprits in our world today.
At the same time, IT also has the potential to offer huge energy savings in all human activities such as business, daily work, education and travel, and even energy generation and distribution, through greater efficiency and optimization in the manner in which we conduct our lives and run our homes, offices, factories and vehicles.
Thus this special issue will address both these very important aspects that tie IT and Energy, from a principled engineering and scientific perspective, by publishing carefully refereed papers that establish new methods and show how IT can deliver the best quality of service and quality of experience with the minimum required energy expenditures; how cost functions that combine the quality of the value delivered by ICT (Information and communications technology) and its energy expenditure can be minimized; and how IT can effectively reduce energy consumption in other fields. Papers with validated empirical content and sound theoretical studies are welcome and are encouraged for submission.
Prof. Dr. Erol Gelenbe
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed Open Access monthly journal published by MDPI.
- green IT
- smart systems for energy savings
- energy consumption by ICT
- metrics combining quality of service and energy consumption
- hardware and software energy measurements
- quality of service and energy trade-offs
- controlling energy flows with IT
- foundations of the smart grid
- energy savings through IT
Article: Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks
Energies 2014, 7(4), 2535-2557; doi:10.3390/en7042535
Received: 20 January 2014; in revised form: 8 April 2014 / Accepted: 9 April 2014 / Published: 22 April 2014| PDF Full-text (348 KB) | HTML Full-text | XML Full-text
Last update: 4 February 2014