IJEOE 2013 - SPECIAL ISSUE ON Optimization and Engineering of Renewable Energy-Fuel Supply Chain for CHP Plants

SPECIAL ISSUE ON Optimization and Engineering of Renewable Energy-Fuel Supply Chain for CHP Plants
INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING (IJEOE)
Guest Editor: Teijo Palander
INTRODUCTION:
The energy industry is subject to policy decisions regarding renewable energy production and energy efficiency. Conventional energy production has environmental side-effects that may cause global warming. Renewable fuels are superior because they offer near-zero net emissions. Therefore, management of renewable energy-fuel supply chains of combined heat and power (CHP) plants should be support, optimized and engineered using innovative methods and decision support (DSS) tools. However, it should be kept in mind that the electricity-generation, -purchase, and -sales decisions are made based on a comprehensive technical and economic analysis that accounts for local procurement of forest fuels in a holistic supply chain model.
OBJECTIVE OF THE SPECIAL ISSUE:
In this special issue, heating plants’ ability to generate electricity from forest fuels are going to be investigated in various production environments on a strategic decision-making horizon. The electricity generation problem of CHP plants can be solved using optimization of the energy products and fuel mixtures based on fuel tax, feed-in tariff of electricity, energy efficiency and forest technology constraints. If the decision environment is complicated by the sequence-dependent and time-dependent procurement chains for forest fuels, the optimal product and fuel mixtures can be selected, e.g., by minimizing procurement costs, maximizing production revenues, and minimizing energy losses. The combinatorial complexity of the problem often requires also the use of adaptive techniques to solve a multiple-objective system with industrial relevance. In addition to a theory of adaptive techniques the properties of the decision-support systems and methodology as well as illustrative examples of electricity generation can be discussed based on real industrial data. Finally, the energy industry as a whole can be subjected to policy decisions about subsidies regarding renewable energy production and energy efficiency regulation, which can also be discussed in this special issue.
RECOMMENDED TOPICS:
Topics to be discussed in this special issue include (but are not limited to) the following:
● Advanced methodological approaches for optimization
● Basic theory and policy of combined production of heat and power
● Energy-fuel procurement chain approaches
● Energy-fuel supply chain approaches
● Innovative approaches for renewable supply-chain engineering
● Optimization of effects of feed-in tariff on electricity generation
● Optimization of energy efficiency for improving electricity production
● Optimization of subsidy policies
● Optimization of tax policies
● Optimization of technology and engineering rates of renewable energy fuels
SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit papers for this special theme issue on optimization of renewable energy-fuel supply chain for CHP plant on or before January 01, 2013. 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/Files/AuthorEditor/guide.... All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
ABOUT INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING (IJEOE):
IJEOE publishes global research in the areas of energy optimization and engineering. The journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of electrical power engineering, control systems, and hybrid intelligent optimization. This interdisciplinary journal examines and encourages research within energy optimization and engineering fields, including fuzzy logic, neural networks, evolutionary algorithms, genetic with line or pattern search, particle swam optimization, and colony optimization, and hybrid system optimization in a variety of engineering, science, business, and hybrid energy resource applications.
This journal is an official publication of the Information Resources Management Association
www.igi-global.com/ijeoe
Editor-in-Chief: P. Vasant
Published: Quarterly (both in Print and Electronic form)
PUBLISHER:
The International Journal of Energy Optimization and Engineering is published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference”, “Business Science Reference”, and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com.
All submissions should be should be directed to the attention of:
Teijo Palander
Guest Editor
International Journal of Energy Optimization and Engineering
E-mail: teijo.s.palander-AT-uef.fi