Biplab Das – författare

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

This book presents a comprehensive exploration of solar energy sources, with a particular emphasis on comparing them to fossil fuels regarding their impact on global warming. It covers various aspects of solar energy power generation in practice, including details about the sun, such as the solar constant, different types of solar radiation, solar time, and the direction of beam radiation. Additionally, the book delves into the thermal performance of different types of solar concentrating collectors, focusing specifically on the fundamental principles of parabolic solar trough collectors. Drawing upon historical contexts, it examines the detailed evolution of these collectors in terms of thermal and optical performance, and it addresses techniques developed to tackle challenges such as non-uniform heat flux distribution on the receiver tube's outermost surface.

The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization.

The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization.

The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization.

The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization.

This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives.

This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives.

The book explores contemporary scientific issues, challenges, and future objectives in power production and energy systems. It specifically focuses on electrical energy and covers a variety of topics, including energy technology and production research, energy security and optimization, electrical energy system stability, technical reliability, biofuels, and the bio-economy. Additionally, the book addresses the current environmental challenges posed by the extensive use of fossil fuels across various energy applications. It emphasizes the importance of designing and operating energy systems in a safe and sustainable manner. Due to its interdisciplinary approach, this volume will be beneficial for both instructional and research purposes in undergraduate and graduate courses. It is also relevant for industry professionals and practitioners. Furthermore, the book aims to assist independent students in their self-study efforts.

The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization.