Advances of Artificial Intelligence in a Green Energy Environment
()
About this ebook
Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern.
Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy.
Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.
- Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide
- Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms
- Includes flowchart diagrams for exampling optimizing techniques
Related to Advances of Artificial Intelligence in a Green Energy Environment
Related ebooks
Thin Film Micro-Optics: New Frontiers of Spatio-Temporal Beam Shaping Rating: 0 out of 5 stars0 ratingsSingle-Atom Catalysis: A Forthcoming Revolution in Chemistry Rating: 0 out of 5 stars0 ratingsMetal-Catalyzed Oxidations of Organic Compounds: Mechanistic Principles and Synthetic Methodology Including Biochemical Processes Rating: 0 out of 5 stars0 ratingsTechnology: Handbook of Vacuum Physics Rating: 0 out of 5 stars0 ratingsChemical and Biochemical Applications of Lasers V2 Rating: 0 out of 5 stars0 ratingsVibrational Spectra of Benzene Derivatives Rating: 0 out of 5 stars0 ratingsLaser Photoionization Spectroscopy Rating: 0 out of 5 stars0 ratingsAdvances in Organic Synthesis: Volume 9 Rating: 0 out of 5 stars0 ratingsSynthetic Biology: Redesigning organisms to have new abilities Rating: 0 out of 5 stars0 ratingsHeterogeneous Micro and Nanoscale Composites for the Catalysis of Organic Reactions Rating: 0 out of 5 stars0 ratingsWaste-to-Energy: Multi-Criteria Decision Analysis for Sustainability Assessment and Ranking Rating: 0 out of 5 stars0 ratingsPredictive Modelling for Energy Management and Power Systems Engineering Rating: 0 out of 5 stars0 ratingsAdvances in Streamflow Forecasting: From Traditional to Modern Approaches Rating: 0 out of 5 stars0 ratingsGreen Energy Systems: Design, Modelling, Synthesis and Applications Rating: 0 out of 5 stars0 ratingsIntelligent Learning Approaches for Renewable and Sustainable Energy Rating: 0 out of 5 stars0 ratingsApplications of Artificial Intelligence in Process Systems Engineering Rating: 0 out of 5 stars0 ratingsNon-Destructive Testing and Condition Monitoring Techniques in Wind Energy Rating: 0 out of 5 stars0 ratingsRenewable Energy Production and Distribution Volume 2: Solutions and Opportunities Rating: 0 out of 5 stars0 ratingsAdvances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems Rating: 0 out of 5 stars0 ratingsLife Cycle Sustainability Assessment for Decision-Making: Methodologies and Case Studies Rating: 0 out of 5 stars0 ratingsMulti-Objective Combinatorial Optimization Problems and Solution Methods Rating: 0 out of 5 stars0 ratingsSustainable Energy Planning in Smart Grids Rating: 0 out of 5 stars0 ratingsEdge-of-Things in Personalized Healthcare Support Systems Rating: 0 out of 5 stars0 ratingsDemystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics Rating: 0 out of 5 stars0 ratingsMonitoring and Control of Electrical Power Systems using Machine Learning Techniques Rating: 0 out of 5 stars0 ratingsPolymer Science and Innovative Applications: Materials, Techniques, and Future Developments Rating: 0 out of 5 stars0 ratingsAmbient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control Rating: 0 out of 5 stars0 ratings
Science & Mathematics For You
Feeling Good: The New Mood Therapy Rating: 4 out of 5 stars4/5The Gulag Archipelago [Volume 1]: An Experiment in Literary Investigation Rating: 4 out of 5 stars4/5The Rise of the Fourth Reich: The Secret Societies That Threaten to Take Over America Rating: 4 out of 5 stars4/5Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness Rating: 4 out of 5 stars4/5The Big Fat Surprise: Why Butter, Meat and Cheese Belong in a Healthy Diet Rating: 4 out of 5 stars4/5The Dorito Effect: The Surprising New Truth About Food and Flavor Rating: 4 out of 5 stars4/5Outsmart Your Brain: Why Learning is Hard and How You Can Make It Easy Rating: 4 out of 5 stars4/5A Letter to Liberals: Censorship and COVID: An Attack on Science and American Ideals Rating: 3 out of 5 stars3/5Becoming Cliterate: Why Orgasm Equality Matters--And How to Get It Rating: 4 out of 5 stars4/5A Crack In Creation: Gene Editing and the Unthinkable Power to Control Evolution Rating: 4 out of 5 stars4/5The Wisdom of Psychopaths: What Saints, Spies, and Serial Killers Can Teach Us About Success Rating: 4 out of 5 stars4/52084: Artificial Intelligence and the Future of Humanity Rating: 4 out of 5 stars4/5The Gulag Archipelago: The Authorized Abridgement Rating: 4 out of 5 stars4/5Lies My Gov't Told Me: And the Better Future Coming Rating: 4 out of 5 stars4/5The Big Book of Hacks: 264 Amazing DIY Tech Projects Rating: 4 out of 5 stars4/5Activate Your Brain: How Understanding Your Brain Can Improve Your Work - and Your Life Rating: 4 out of 5 stars4/5How Emotions Are Made: The Secret Life of the Brain Rating: 4 out of 5 stars4/5Why People Believe Weird Things: Pseudoscience, Superstition, and Other Confusions of Our Time Rating: 4 out of 5 stars4/5Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career Rating: 4 out of 5 stars4/5The Invisible Rainbow: A History of Electricity and Life Rating: 4 out of 5 stars4/5Suicidal: Why We Kill Ourselves Rating: 4 out of 5 stars4/5The Psychology of Totalitarianism Rating: 5 out of 5 stars5/5No-Drama Discipline: the bestselling parenting guide to nurturing your child's developing mind Rating: 4 out of 5 stars4/5Free Will Rating: 4 out of 5 stars4/5Hunt for the Skinwalker: Science Confronts the Unexplained at a Remote Ranch in Utah Rating: 4 out of 5 stars4/5Born for Love: Why Empathy Is Essential--and Endangered Rating: 4 out of 5 stars4/5The Science of Monsters: The Origins of the Creatures We Love to Fear Rating: 4 out of 5 stars4/5Homo Deus: A Brief History of Tomorrow Rating: 4 out of 5 stars4/518 Tiny Deaths: The Untold Story of Frances Glessner Lee and the Invention of Modern Forensics Rating: 4 out of 5 stars4/5The Systems Thinker: Essential Thinking Skills For Solving Problems, Managing Chaos, Rating: 4 out of 5 stars4/5
Reviews for Advances of Artificial Intelligence in a Green Energy Environment
0 ratings0 reviews
Book preview
Advances of Artificial Intelligence in a Green Energy Environment - Pandian Vasant
Chapter 1: Application of some ways to intensify the process of anaerobic bioconversion of organic matter
Andrey A. Kovalev, Dmitriy A. Kovalev, Victor S. Grigoriev, and Alexander Makarov Federal Scientific Agroengineering Center VIM, Moscow, Russia
Abstract
The work is devoted to the intensification of anaerobic bioconversion of volatile solids in a wide range of liquid organic production and consumption wastes. The description of the existing biogas plants is given. It is shown that intensification methods can be conditionally divided into a number of impacts and technological improvements. The chapter describes a number of methods for enhancing efficiency of anaerobic bioconversion of organic waste, which were directly investigated by the authors. On the basis of the material presented, an energy model of the anaerobic bioconversion system of organic waste for the electricity production was developed. On the basis of the above methods for enhancing efficiency of anaerobic bioconversion of volatile solids and the developed energy model, it is assumed that the maximum growth rate of the biomass of microorganisms is a function of various types of energy supplied to the substrate (mechanical, electrical, magnetic, thermal, etc.). The proposed energy model is used to assess the energy efficiency of various methods for enhancing efficiency of anaerobic bioconversion of volatile solids of liquid organic waste.
Keywords
Anaerobic bioconversion; Biogas; Biogas plant; Energy model; Intensification
1.1. Introduction
The rise in prices for energy resources, emergence, and aggravation of environmental problems has led to a significant interest in the use of bioconversion technology for organic waste for energy production [1]. The negative impact of human activity on the environment is associated not only with the increasing consumption of natural resources but also, to a greater extent, with the formation of liquid and solid waste from agricultural and processing industries [2,3]. The fact that animals poorly assimilate the energy of plant feed and that more than half of this energy is used unproductively—goes into manure—allows us to consider the latter not only as a valuable raw material for organic fertilizers but also as a powerful renewable energy source.
After the Second World War, due to the energy crisis, in many European countries, to cover the lack of liquid fuel, they paid serious attention to the possibility of obtaining biogas from animal waste, in particular from farm animal manure. The operation of several dozen installations built at that time confirmed the possibility of processing also the excrement of farm animals using methanogenesis. The biogas produced was mainly compressed and used to drive tractors. However, in competition with cheap traditional fuels, the inefficient and difficult production of biogas and its utilization turned out to be economically disadvantageous.
In recent years, the situation in agriculture with energy raw materials has changed fundamentally. The acute energy deficit, accompanied by rapidly growing oil prices, as a permanent factor in the global economy, leads to the accelerated implementation of research programs aimed at discovering and practical use of additional local fuel resources. Under such circumstances, the problematic process of processing animal excrement into biogas again comes to the fore. It should be emphasized, however, that the reasons leading to the renewed interest in anaerobic fermentation go beyond the purely energetic rationale. The transition of the agro-industrial complex to an industrial basis leads to a sharp increase in the waste of agro-industrial enterprises, which must be disposed of without environmental pollution.
One of the methods for the rational use of organic waste from the agro-industrial complex is their methane fermentation, which turned out to be a good means of neutralizing liquid manure and preserving it as fertilizer while simultaneously obtaining a local source of energy—biogas. The experience of practical verification of methanogenesis in the field of agricultural use shows that in the hierarchy of the contribution of this method, its ecological characteristics occupy the first place, then the aspect of the production of organic fertilizers follows, and only then does the energy aspect follow. The interest in obtaining only biogas was replaced by the understanding of the significance of this process for the environment, as an energy-saving process of manure treatment and sewage treatment. In Russia, anaerobic treatment of manure and slurry is used on a limited scale, the scope of which is determined by several pilot plants. Little operating experience and the same state of affairs with the development and research of the biogas production process at such plants does not allow us to accurately judge its efficiency and the possibility of widespread use in manure utilization