Chances and Risks in Construction Management and Economics: A Systemic Approach to Dealing with Models and Uncertainties, Hofstadler Christian, Kummer Markus
Описание: High levels of uncertainty are a trademark of geological investigations, such as the search for oil, diamonds, and uranium. So business ventures related to geology, such as mineral exploration and mining, are naturally associated with higher risks than more traditional entrepreneurial ventures in industry and economy. There are also a number of dangerous natural hazards, e.g. earthquakes, volcanic activities, and inundations, that are the direct result of geological processes. It is of paramount interest to study them all, to describe them, to understand their origin and - if possible - to predict them. While uncertainties, geological risks and natural hazards are often mentioned in geological textbooks, conferences papers, and articles, no comprehensive and systematic evaluation has so far been attempted. This book, written at an appropriately sophisticated level to deal with complexity of these problems, presents a detailed evaluation of the entire problem, discussing it from both, the geological and the mathematical aspects.
This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.
Описание: Introduction.- Literature Review.- Technical Problem Statement.- Controller Design.- U C2 AV Case Study.- Conclusion and Discussion.
Автор: Christian Gogu Название: Mechanical engineering under uncertainties : ISBN: 1789450101 ISBN-13(EAN): 9781789450101 Издательство: Wiley Рейтинг: Цена: 21851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Considering the uncertainties in mechanical engineering in order to improve the performance of future products or systems is becoming a competitive advantage, sometimes even a necessity, when seeking to guarantee an increasingly high safety requirement.
Mechanical Engineering in Uncertainties deals with modeling, quantification and propagation of uncertainties. It also examines how to take into account uncertainties through reliability analyses and optimization under uncertainty. The spectrum of the methods presented ranges from classical approaches to more recent developments and advanced methods. The methodologies are illustrated by concrete examples in various fields of mechanics (civil engineering, mechanical engineering and fluid mechanics). This book is intended for both (young) researchers and engineers interested in the treatment of uncertainties in mechanical engineering.
Автор: Ahmed Zobaa Shady Abdel Aleem Название: Uncertainties in modern power systems ISBN: 0128204915 ISBN-13(EAN): 9780128204917 Издательство: Elsevier Science Рейтинг: Цена: 21728.00 р. Наличие на складе: Нет в наличии.
Описание: Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems.
The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems.
Автор: Manfred Drosg Название: Dealing with Uncertainties ISBN: 3642425402 ISBN-13(EAN): 9783642425400 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative monograph lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions. The approach used to understand the nature of uncertainties is novel in that it is completely decoupled from measurements.
Автор: Haris Doukas; Alexandros Flamos; Jenny Lieu Название: Understanding Risks and Uncertainties in Energy and Climate Policy ISBN: 3030031519 ISBN-13(EAN): 9783030031510 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.
Описание: Daniel Raimi gives a balanced and accessible view of oil and gas development, clearly and thoroughly explaining the key issues surrounding the shale revolution. The Fracking Debate provides the evidence and context that have so frequently been missing from discussion of the future of oil and gas production.
Автор: Gy?rgy Bardossy; J?nos Fodor Название: Evaluation of Uncertainties and Risks in Geology ISBN: 3642058337 ISBN-13(EAN): 9783642058332 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High levels of uncertainty are a trademark of geological investigations, such as the search for oil, diamonds, and uranium. While uncertainties, geological risks and natural hazards are often mentioned in geological textbooks, conferences papers, and articles, no comprehensive and systematic evaluation has so far been attempted.
Автор: L?v?que Название: The Economics and Uncertainties of Nuclear Power ISBN: 1107087287 ISBN-13(EAN): 9781107087286 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an important resource for students, researchers, energy professionals and concerned citizens wanting to engage with the continuing debate on the future of nuclear power and its place in international energy policy. It provides a balanced, in-depth economic analysis of the costs, hazards, regulation and politics surrounding nuclear power.
Автор: Semyon G. Rabinovich Название: Measurement Errors and Uncertainties ISBN: 1441920536 ISBN-13(EAN): 9781441920539 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical reference on theory and methods of estimating measurement errors and uncertainty for both scientists and engineers in industry and experimental research.
Автор: Asuka Suzuki-Parker Название: Uncertainties and Limitations in Simulating Tropical Cyclones ISBN: 3662508729 ISBN-13(EAN): 9783662508725 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-pronged research paper details a new approach to detecting and tracking extreme weather in climate models as well as applying an extreme-value statistical model to facilitate modeling assessment of possible changes in severe weather patterns.
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