Gulshan Sharma – författare
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2 produkter
2 produkter
1 928 kr
Skickas inom 10-15 vardagar
The text provides insight into renewable technologies, and their challenges in terms of design, efficiency, implementation, and solutions to mitigate the problem of energy crisis. It will help the readers to understand the role of the fourth industrial revolution technologies in developing user-friendly, economic, and implementable solutions to mitigate the present and future energy crisis through cleaner and renewable technologies.Discusses electric energy transportation systems, electricity distribution systems, demand response, metering, smart grids, and cyber-security.Covers electric vehicles, vehicle-to-grid technologies, charging-while-driving technology for future roads and highways, and autonomous mobile robots.Presents data-driven modeling, forecasting, and optimization techniques of power and energy systems.Illustrates energy storage technologies, energy-efficient systems, power conversion topologies, and related control techniques.Explains the design of control algorithms for solar systems and the design of efficient energy management for solar power.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, energy, environmental engineering, computer science, and engineering.
Curbing Energy Poverty in Sub-Saharan Africa
A Multi-Objective Optimization Approach for Achieving Universal Access
Inbunden, Engelska, 2025
1 391 kr
Skickas inom 10-15 vardagar
This book emphasizes the critical need for a multi-dimensional approach to tackling energy poverty, advocating for an integrated strategy that addresses three interconnected dimensions: availability, accessibility, and affordability. It introduces a robust Multi-Criteria Decision-Making (MCDM) framework based on a dynamic model that links off-grid energy supply to rural households primarily engaged in crop farming as a key economic activity.The framework leverages the Non-Dominated Sorting Genetic Algorithm II (NDSGA-II), a powerful multi-objective optimization technique, to balance the trade-offs between costs and revenues, ensuring the sustainable delivery of energy services to rural communities. By underscoring the interplay between availability, accessibility, and affordability, the approach reveals that while costs are primarily associated with securing energy availability, revenues are essential for enhancing both accessibility and affordability.This comprehensive and holistic strategy offers an innovative solution to the multifaceted challenges of energy poverty in rural areas, ensuring long-term sustainability and economic viability.