Soteris Kalogirou

Siddhartha Kumar Khaitan

Kasthurirangan Gopalakrishnan

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Soft Computing in Green and Renewable Energy Systems

Srinivas Peeta

Sustainable and resilient critical infrastructure systems is an emerging paradigm in an evolving era of depleting assets in the midst of natural and man-made threats to provide a sustainable and high quality of life with optimized resources from social, economic, societal and environmental considerations. The increasing complexity and interconnectedness of civil and other interdependent infrastructure systems (electric power, energy, cyber-infrastructures, etc.) require inter- and multidisciplinary expertise required to engineer, monitor, and sustain these distributed large-scale complex adaptive infrastructure systems. This edited book is motivated by recent advances in simulation, modeling, sensing, communications/information, and intelligent and sustainable technologies that have resulted in the development of sophisticated methodologies and instruments to design, characterize, optimize, and evaluate critical infrastructure systems, their resilience, and their condition and the factors that cause their deterioration. Specific topics discussed in this book include, but are not limited to: optimal infrastructure investment allocation for sustainability, framework for manifestation of tacit critical infrastructure knowledge, interdependencies between energy and transportation systems for national long term planning, intelligent transportation infrastructure technologies, emergent research issues in infrastructure interdependence research, framework for assessing the resilience of infrastructure and economic systems, maintenance optimization for heterogeneous infrastructure systems, optimal emergency infrastructure inspection scheduling, and sustainable rehabilitation of deteriorated transportation infrastructure systems.

Simulation, Modeling, and Intelligent Engineering

Sustainable and Resilient Critical Infrastructure Systems

Robert C. Brown

J. (Hans) van Leeuwen

Sustainable Bioenergy and Bioproducts considers the recent technological innovations and emerging concepts in biobased energy production and coproducts utilization. Each chapter in this book has been carefully selected and contributed by experts in the field to provide a good understanding of the various challenges and opportunities associated with sustainable production of biofuel. Sustainable Bioenergy and Bioproducts covers a broad and detailed range of topics including: production capacity of hydrocarbons in the plant kingdom, algae, and microbes; biomass pretreatment for biofuel production; microbial fuel cells; sustainable use of biofuel co-products; bioeconomy and transportation infrastructure impacts and assessment of environmental risks and the life cycle of biofuels. Researchers, practitioners, undergraduate and graduate students engaged in the study of biorenewables, and members of the well-informed public will find Sustainable Bioenergy and Bioproducts to be a useful and comprehensive research tool, describing the state of the art and recent developments in this field.

Value Added Engineering Applications

Sustainable Bioenergy and Bioproducts

Olegas Prentkovskis

Irina Jackiva

Raimundas Junevičius

This book gathers papers presented at the 11th international scientific conference "Transbaltica: Transportation Science and Technology", held on May 2-3, 2019 at Vilnius Gediminas Technical University, Lithuania. It covers cutting-edge issues concerning research and development of modern transport systems. The chapters, written by an international group of experts, discuss novel and smart solutions in the area of vehicle engineering, including environmentally friendly technologies, topics relating to traffic safety, modeling and control, and solutions and challenges in modern logistics. Further topics include multimodal transport and vehicle automation. Providing comprehensive information and ideas concerning innovative transportation technologies and challenges, this book offers a valuable resource for transportation researchers and practitioners, including engineers, managers and decision-makers in the field.

Proceedings of the International Conference TRANSBALTICA, May 2-3, 2019, Vilnius, Lithuania

TRANSBALTICA XI: Transportation Science and Technology

Kasthurirangan Gopalakrishnan

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