Download or read book Energy Modelling and the Management of Uncertainty written by Risk Books Staff and published by Risk Books. This book was released on 1999-01-01 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text contains a detailed analysis of the most difficult problems in pricing electricity, including: price modelling, derivative valuation, feedstock correlations, and weather risk. The book also relates key modelling difficulties to practical strategies for risk management.
Download or read book Energy Modelling and the Management of Uncertainty written by Rob Jameson and published by . This book was released on 1999 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Modelling written by Vincent Kaminski and published by Risk. This book was released on 2005-01 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: An industry acclaimed bestseller - Energy Modelling has been extensively revised, updated and extended for the markets of 2005. This second edition is your detailed guide to how the tools of quantitative finance are being applied to the fast moving world of energy trading.
Download or read book Uncertainties in Modern Power Systems written by Ahmed F. Zobaa and published by Academic Press. This book was released on 2020-10-26 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems Discusses how uncertainties will impact on the performance of power systems Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors
Download or read book Uncertainty in the Electric Power Industry written by Christoph Weber and published by Springer Science & Business Media. This book was released on 2005 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Around the world, liberalization and privatization in the electricity industry have lead to increased competition among utilities. At the same time, utilities are now exposed more than ever to risk and uncertainties, which they cannot pass on to their customers through price increases as in a regulated environment. Especially electricity-generating companies have to face volatile wholesale prices, fuel price uncertainty, limited long-term hedging possibilities and huge, to a large extent, sunk investments. In this context, Uncertainty in the Electric Power Industry: Methods and Models for Decision Support aims at an integrative view on the decision problems that power companies have to tackle. It systematically examines the uncertainties power companies are facing and develops models to describe them – including an innovative approach combining fundamental and finance models for price modeling. The optimization of generation and trading portfolios under uncertainty is discussed with particular focus on CHP and is linked to risk management. Here the concept of integral earnings at risk is developed to provide a theoretically sound combination of value at risk and profit at risk approaches, adapted to real market structures and market liquidity. Also methods for supporting long-term investment decisions are presented: technology assessment based on experience curves and operation simulation for fuel cells and a real options approach with endogenous electricity prices.
Download or read book Essays on Uncertainty Analysis in Energy Modeling written by John Erik Bistline and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The characterization and analysis of uncertainty are central components of decision-making, especially in the energy sector; however, there is currently a gap in the energy modeling community between the recognition of uncertainty's importance and its incorporation in large-scale models. This dissertation explores how the explicit inclusion of uncertainty through sequential decision-making approaches like stochastic programming can provide insights to energy planners in different domains. The dissertation first investigates the dynamics of capacity planning and dispatch in the electric power sector under technological, economic, and policy-related uncertainties. Metrics like the expected value of perfect information and the value of the stochastic solution quantify the benefits of reducing uncertainty and of incorporating uncertainty explicitly in modeling efforts. Model results highlight risks associated with shale gas and climate policy, offer policy guidance in these areas, and indicate that planners are likely underestimating the impacts of uncertainty. Hedging and strategic delay are explained in terms of the optionality of energy investments, leading to insights about uncertainty, learning, and irreversibility. A second application presents a framework for allocating investments across a portfolio of energy technology research and development (R & D) programs, which incorporates uncertainties in the effectiveness of investments and in diffusion markets. This work analyzes how R & D valuations vary in different decision-making settings and shows how wait-and-see valuation approaches, by not explicitly accounting for exogenous market uncertainties, may undervalue the hedging potential of technologies. The results indicate that R & D is more valuable in suboptimal planning and policy environments. The final section discusses policy and modeling questions about low-probability, high-impact risks in climate change economics. This analysis examines the impacts of fat-tailed uncertainty about the climate sensitivity parameter on near-term abatement using a sequential decision-making framework. The results demonstrate how policy prescriptions from integrated assessment models are highly sensitive to the specifications of uncertainty, learning, and damages. Fat tails alone do not merit stringent mitigation immediately, which also requires strongly convex damages and slow learning. The analysis illustrates the potential value of midcourse corrections on reducing consumption risks imposed by uncertain damages and focuses attention on the dynamics of learning.
Download or read book Optimal Operation of Integrated Multi Energy Systems Under Uncertainty written by Qiuwei Wu and published by Elsevier. This book was released on 2021-09-07 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation strategies for integrated multi-energy systems geared for use in optimal operation. The book particularly focuses on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. It covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussions of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies Covers stochastic and robust optimal operation of integrated multi-energy systems Evaluates MPC based, real-time dispatch of integrated multi-energy systems Considers uncertainty modeling for stochastic and robust optimization Assesses optimal operation and real-time dispatch for multi-energy building complexes
Download or read book Predictive Modelling for Energy Management and Power Systems Engineering written by Ravinesh Deo and published by Elsevier. This book was released on 2020-09-30 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format
Download or read book Uncertainty in the Electric Power Industry written by Christoph Weber and published by Springer Science & Business Media. This book was released on 2006-01-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Around the world, liberalization and privatization in the electricity industry have lead to increased competition among utilities. At the same time, utilities are now exposed more than ever to risk and uncertainties, which they cannot pass on to their customers through price increases as in a regulated environment. Especially electricity-generating companies have to face volatile wholesale prices, fuel price uncertainty, limited long-term hedging possibilities and huge, to a large extent, sunk investments. In this context, Uncertainty in the Electric Power Industry: Methods and Models for Decision Support aims at an integrative view on the decision problems that power companies have to tackle. It systematically examines the uncertainties power companies are facing and develops models to describe them - including an innovative approach combining fundamental and finance models for price modeling. The optimization of generation and trading portfolios under uncertainty is discussed with particular focus on CHP and is linked to risk management. Here the concept of integral earnings at risk is developed to provide a theoretically sound combination of value at risk and profit at risk approaches, adapted to real market structures and market liquidity. Also methods for supporting long-term investment decisions are presented: technology assessment based on experience curves and operation simulation for fuel cells and a real options approach with endogenous electricity prices.
Download or read book Energy and Power Risk Management written by Alexander Eydeland and published by John Wiley & Sons. This book was released on 2003-02-03 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Energy and Power Risk Management "Energy and Power Risk Management identifies and addresses the key issues in the development of the turbulent energy industry and the challenges it poses to market players. An insightful and far-reaching book written by two renowned professionals." -Helyette Geman, Professor of Finance University Paris Dauphine and ESSEC "The most up-to-date and comprehensive book on managing energy price risk in the natural gas and power markets. An absolute imperative for energy traders and energy risk management professionals." -Vincent Kaminski, Managing Director Citadel Investment Group LLC "Eydeland and Wolyniec's work does an excellent job of outlining the methods needed to measure and manage risk in the volatile energy market." -Gerald G. Fleming, Vice President, Head of East Power Trading, TXU Energy Trading "This book combines academic rigor with real-world practicality. It is a must-read for anyone in energy risk management or asset valuation." -Ron Erd, Senior Vice President American Electric Power
Download or read book Uncertainty Analysis and Reservoir Modeling written by Y. Zee Ma and published by AAPG. This book was released on 2011-12-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Storage in Energy Markets written by Behnam Mohammadi-Ivatloo and published by Academic Press. This book was released on 2021-04-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Storage in Energy Markets reviews the modeling, design, analysis, optimization and impact of energy storage systems in energy markets in a way that is ideal for an audience of researchers and practitioners. The book provides deep insights on potential benefits and revenues, economic evaluation, investment challenges, risk analysis, technical requirements, and the impacts of energy storage integration. Heavily referenced and easily accessible to policymakers, developers, engineer, researchers and students alike, this comprehensive resource aims to fill the gap in the role of energy storage in pool/local energy/ancillary service markets and other multi-market commerce. Chapters elaborate on energy market fundamentals, operations, energy storage fundamentals, components, and the role and impact of storage systems on energy systems from different aspects, such as environmental, technical and economics, the role of storage devices in uncertainty handling in energy systems and their contributions in resiliency and reliability improvement. Provides integrated techno-economic analysis of energy storage systems and the energy markets Reviews impacts of electric vehicles as moving energy storage and loads on the electricity market Analyzes the role and impact of energy storage systems in the energy, ancillary, reserve and regulatory multi-market business Applies advanced methods to the economic integration of large-scale energy storage systems Develops an evaluation framework for energy market storage systems
Download or read book Energy Price Uncertainty and Investment a Stochastic Q Model written by Massachusetts Institute of Technology. Energy Laboratory and published by . This book was released on 1981 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Modeling for an Uncertain Future written by National Research Council (U.S.). Committee on Nuclear and Alternative Energy Systems. Synthesis Panel. Modeling Resource Group and published by . This book was released on 1978 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Probabilistic Prognostics and Health Management of Energy Systems written by Stephen Ekwaro-Osire and published by Springer. This book was released on 2017-04-25 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty. Renewable and non-renewable sources of energy are being used to supply the demands of societies worldwide. These sources are mainly thermo-chemo-electro-mechanical systems that are subject to uncertainty in future loading conditions, material properties, process noise, and other design parameters.It book informs the reader of existing and new ideas that will be implemented in RUL prediction of energy systems in the future. The book provides case studies, illustrations, graphs, and charts. Its chapters consider engineering, reliability, prognostics and health management, probabilistic multibody dynamical analysis, peridynamic and finite-element modelling, computer science, and mathematics.
Download or read book Understanding Risks and Uncertainties in Energy and Climate Policy written by Haris Doukas and published by Springer. This book was released on 2018-12-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Energy Policy Analysis and Modelling written by Mohan Munasinghe and published by Cambridge University Press. This book was released on 1993-08-26 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy plays a vital role in economic and social development. The analysis of energy issues and policy options is therefore a vital area of study. This book presents a hierarchical modelling scheme intended to support energy planning and policy analysis in developing countries. The authors introduce the concept of 'Integrated National energy Planning' (INEP), and examine the spreadsheet models, optimization models, and linear planning models which energy planners use. Environmental considerations are also introduced into the analysis. Techniques are then applied to two important energy subsectors, electricity and fuelwood, before problems of integration and policy implementation are discussed. Throughout the book, the authors examine actual practice in developing countries. Illustrative case material is drawn from Egypt, West Africa, Sudan, Pakistan, Colombia, India, Sri Lanka and Morocco. This book will be of interest to students and practitioners of energy planning, and to those concerned with the wider development implications of energy policy.
