Shwetank Avikal

Shwetank Avikal
Graphic Era Hill University · Department of Management Studies

About

62
Publications
8,295
Reads
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541
Citations
Additional affiliations
August 2013 - February 2022
Graphic Era Hill University
Position
  • Professor (Assistant)
July 2009 - August 2013
Motilal Nehru National Institute of Technology
Position
  • Researcher

Projects

Project (1)
Project
https://www.igi-global.com/calls-for-papers-special/international-journal-energy-optimization-engineering/47187 Submission Due Date 5/30/2018 Guest Editors Shwetank Avikal Mechanical Engineering Department Graphic Era Hill University, Dehradun, India Introduction Theme: Energy plays an important role in economic and social development of the society. The demand of the energy has been increasing rapidly because of agriculture, industrial and domestic uses/activities in the developed as well as in developing countries. These higher demand/uses has been increasing the prices of fuels and also playing a vital role in emission of green house gases. Price and pollution caused by the conventional fuels are the main driving forces in the utilization of renewal energy sources more effectively. Wind energy, Solar energy, Hydropower, Bio-energy, Geothermal energy, etc, falls in the area of renewable energies. Renewable energy has many advantages over conventional energy such as: lower or no generation cost, lower emission rate, higher availability, etc but also have some disadvantages such as: higher initial or investment cost, non availability throughout the year and dependency on the climate and geometric conditions etc. These disadvantages of renewal energy has increased the cost of energy storage systems and also increased the demand of hybrid energy system. Maintaining suitable supply of the renewal energy also requires a higher level of design, planning & control and resources optimization. A number of techniques have been proposed for optimization of renewal energy production and storage such as: heuristic approaches, meta-heuristics techniques, mathematical models, exact solution techniques, fuzzy logic, Data mining, neural network and decision making techniques etc. Coverage: Renewal energy optimization can be implemented in all the geographical area of the globe and has higher demand because of higher price of the conventional fuels and problem related to their emission control. It can be applied in production, storage, control and utilization of all types of renewal energy. Objective The proposed special issue is an effort to bring all the related work ranges from academia to industries in the domain of Renewal Energy Optimization which will ultimately enable to come up with a solution for the betterment of mankind. This will help researches and industries to know the particle and theoretical development/advancement in the domain of Renewal energy optimization. Recommended Topics Topics to be discussed in this special issue include (but are not limited to) the following: • Renewal Energy Optimization • Site Selection and System Installation Optimization • Optimal Renewal energy system for small area • Optima Renewal energy system for large area • Production and Transmission Cost Optimization • Safety and Maintenance Cost Optimization • Optimal Utilization of Energy Resources • Single Objective Optimization • Multi Objective Optimization • Mathematical Models • Heuristic Approaches • Multi Objective Decision Making • Soft Computing Techniques • Fuzzy logic and Fuzzy set theory • Neural Network • Meta-Heuristic Approaches such as: o Artificial Bee Colony Optimization o Ant Colony Optimization o Artificial Neural Networks o Evolutionary Algorithm o Genetic Algorithms o Integer Programming o Linear Programming o Tabu Search o Particle Swarm Optimization o Simulated Annealing o Neural network Submission Procedure Researchers and practitioners are invited to submit papers for this special theme issue on Renewable Energy Optimization on or before 30/05/2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. All submissions and inquiries should be directed to the attention of: Shwetank Avikal Guest Editor International Journal of Energy Optimization and Engineering (IJEOE) E-mail: shwetank.avikal@gmail.com