Tag: Energy

Free Download Security in Sustainable Energy Transitions: Interplay between Energy, Security, and Defence Policies in Estonia, Finland, Norway, and Scotland
by Paula Kivimaa
English | 2024 | ISBN: 1009368168 | 230 Pages | True PDF | 5 MB

Free Download Bernd Rauschenbach, "Low-Energy Ion Irradiation of Materials: Fundamentals and Application"
English | 2022 | ISBN: 3030972763 | PDF | pages: 761 | 20.5 mb
This book provides a comprehensive introduction to all aspects of low-energy ion-solid interaction from basic principles to advanced applications in materials science. It features a balanced and insightful approach to the fundamentals of the low-energy ion-solid surface interaction, focusing on relevant topics such as interaction potentials, kinetics of binary collisions, ion range, radiation damages, and sputtering. Additionally, the book incorporates key updates reflecting the latest relevant results of modern research on topics such as topography evolution and thin-film deposition under ion bombardment, ion beam figuring and smoothing, generation of nanostructures, and ion beam-controlled glancing angle deposition. Filling a gap of almost 20 years of relevant research activity, this book offers a wealth of information and up-to-date results for graduate students, academic researchers, and industrial scientists working in these areas.

Free Download Cyber Physical Energy Systems
English | 2025 | ISBN: 1394172524 | 552 Pages | PDF | 24 MB
A novel modeling methodology that blends cyber and physical components is a significant advancement for future energy systems. A Cyber-Physical System (CPS) is an integrated component of physical microgrids that combines computers, wireless connections, and controls to create a holistic solution. As a result of cyber-physical systems, a new generation of engineering systems incorporating wireless communication has begun to emerge. Despite that there are various major CPS systems in use today, one of the most challenging sectors for implementation is the smart grid which aims to distribute dependable and efficient electric energy while maintaining a high level of global environmental sustainability.

Free Download Yan Yu, "Sodium-Ion Batteries: Energy Storage Materials and Technologies"
English | 2022 | ISBN: 3527348964 | PDF | pages: 542 | 23.4 mb
Sodium-Ion Batteries

Free Download Mechanical Energy Conversion: Exercises for Scaling Renewable Energy Systems by Mathieu Mory
English | July 3, 2024 | ISBN: 1786309238 | 304 pages | MOBI | 27 Mb
This book studies the principles of mechanical energy conversion used in renewable energy sources derived from air and water: wind power, tidal power, hydroelectric power, osmotic energy, ocean thermal energy and wave energy.

Free Download Magnesium-Based Energy Storage Materials and Systems by Jianxin Zou, Yanna NuLi, Zhigang Hu
English | August 5, 2024 | ISBN: 3527352260 | 176 pages | MOBI | 11 Mb
Understand the energy storage technologies of the future with this groundbreaking guide

Free Download Good Energy Natural and Herbal Remedies Encyclopedia: Over 180 Herbal Remedies and Natural Healing Recipes for Common Ailments Inspired by Dr. Casey Means’ and Barbara O’Neill Teachings for a Non-Toxic Lifestyle and Greater Wellbeing. (Good Energy) by Janeth Johnson
English | August 21st, 2024 | ISBN: 9781963674774 | 138 pages | True EPUB | 1.00 MB
Unveil the Secrets to Lifelong Health with Over 180 Powerful Herbal Remedies!

Free Download Applications of X-ray Techniques to Nanomaterials for Energy Research
English | 2024 | ISBN: 9811284636 | 298 Pages | PDF (True) | 88 MB
Nanomaterials have become a key component for energy-related applications. Their design principle, synthesis and applications are well discussed in various scientific and engineering books, but a gap remains in discussions regarding the application of cutting-edge X-ray techniques to these materials. This volume provides insights from the latest development of X-ray techniques to investigate nanomaterials in specific energy fields, bridging the gap between X-ray analytical scientists and material researchers.

Free Download IoT and Analytics in Renewable Energy Systems (Volume 2):
AI, ML and IoT Deployment in Sustainable Smart Cities
English | 2024 | ISBN: 1032448288 | 491 Pages | EPUB | 26 MB

Free Download Complementarity Modeling in Energy Markets By Steven A. Gabriel, Antonio J. Conejo, J. David Fuller, Benjamin F. Hobbs, Carlos Ruiz (auth.)
2013 | 630 Pages | ISBN: 1441961224 | PDF | 7 MB
This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.