Pachauri rupendra kumar

Hardback. Condición: New. Comprehensive reference on multi energy hub (MEH) modeling, management, protection, and trading across energy exchange markets with supporting case studies Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies discusses the complex exchange process across different sources within an evolving set of technologies, presenting multi-vectored energy hub (MV-EH) modeling techniques and associated energy management strategies for their network architecture. This includes in-depth assessments of advanced energy conversion technologies, market mechanisms, and transactive energy management to ensure robust and flexible energy-sharing mechanisms. The book focuses on renewable energy integration in MV-EHs, advanced energy storage, and advance energy conversion technologies. Later chapters cover detailed analyses of Power-to-X (P2X) technologies, bioenergy integration, and emerging challenges in high-renewable penetration in energy hubs. Case studies of MV-EHs explore the latest advancements such as the carbon tax mechanism, carbon trading strategies, the role of hydrogen generation, and carbon storage to enhance MV-EH performance. Readers will find insights into the integration of carbon reduction techniques (CDR) and emission trading mechanisms, along with the role of bioenergy in building the low emission energy systems. Mathematical models of various new energy conversion systems such as power to gas (P2X), hydrogen storage, and hydrogen usage are also explored. Edited by a team of highly qualified authors, this book covers additional topics such as: Types of frameworks to manage network energy hubs, cooperative and non-cooperative strategies, and centralized, decentralized, and distributed system architectures Advanced energy conversion units such as electric heat pumps, combined heat and power units, gas boilers, absorption chillers, electric chillers, and energy storage units The role of bioenergy, power-to-X, hydrogen, carbon reduction techniques (CDR), carbon taxes, carbon market, and trading strategies in achieving low energy systems Technologies to enhance flexibility in MEHs such as electrical, heating, cooling, and community demand response programs The impact of high or full share of renewables and load-side uncertainties on MV-EH operations Delivering a thorough understanding of networked multi-vectored energy systems, and their role in sustainable energy transitions, Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies is an essential reference for engineers, researchers, and graduate students developing energy systems, smart grids, and decarbonization strategies.…

Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology With Artificial Intelligence and Machine Learning Integration

Kuchhal, Piyush (EDT); Kumar, Deepak (EDT); Kumar Pachauri, Rupendra (EDT); Kumar Sharma, Vijay (EDT)

Idioma: Inglés

Editorial: CRC Press, 2025

1032857145 / 9781032857145

Tapa dura

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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Condición: Usado - Como Nuevo

EUR 155,29

Envío por EUR 2,28

Se envía dentro de Estados Unidos de America

Cantidad disponible: 10 disponibles

Condición: As New. Unread book in perfect condition.

Pachauri rupendra kumar (113 resultados)

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Artificial Intelligence and Machine Learning Met Forecasting and Mathematical Insights

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

Artificial Intelligence and Machine Learning Methods for Engineering Systems: Forecasting and Mathematical Insights

Artificial Intelligence and Machine Learning Methods for Engineering Systems: Forecasting and Mathematical Insights

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)

REVOLUTIONIZING SOLAR ENERGY HARVESTING ADVANCED SEMICONDUCTOR DEVICES AND TECHNOLOGY WITH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION (HB 2026)

Applied Soft Computing and Embedded System Applications in Solar Energy

Revolutionizing Solar Energy Harvesting: Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies

Energy Management Strategies for Multi-vectored Energy Hubs to Achieve Low Carbon Societies

Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies (eng)

Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology With Artificial Intelligence and Machine Learning Integration

Revolutionizing Solar Energy Harvesting: Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

Energy Management Strategies for Multi-vectored Energy Hubs to Achieve Low Carbon Societies

Energy Management Strategies for Multi-vectored Energy Hubs to Achieve Low Carbon Societies

Revolutionizing Solar Energy Harvesting: Advanced Semiconductor Devices and Technology with Artificial Intelligence and Machine Learning Integration

Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies

Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies

Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology With Artificial Intelligence and Machine Learning Integration

Energy Management Strategies for Multi-vectored Energy Hubs to Achieve Low Carbon Societies

Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies

Revolutionizing Solar Energy Harvesting : Advanced Semiconductor Devices and Technology With Artificial Intelligence and Machine Learning Integration