Download or read book Industrial Energy Analysis and Forecasting written by Donald F. Blumberg and published by . This book was released on 1973* with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Model for Long term Industrial Energy Forecasting LIEF written by Marc Ross and published by . This book was released on 1992 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Forecasting U S Electricity Demand written by Adela Maria Bolet and published by Routledge. This book was released on 2019-08-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the energy headlines of 1985 proclaim the waning of OPEC, the collapse of oil prices, and the demise of the nuclear power industry, few policy analysts are examining the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century. In this pioneering work, Adela Maria Bolet attempts to do exactly this, namely, to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.

Download or read book Energy Demand Facts and Trends written by B. Chateau and published by Springer. This book was released on 2011-12-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fIrst oil crisis of 1973-74 and the questions it raised in the economic and social fIelds drew attention to energy issues. Industrial societies, accustomed for two decades or more to energy sufficiently easy to produce and cheap to consume that it was thought to be inexhaustible, began to question their energy future. The studies undertaken at that time, and since, on a national, regional, or world level were over-optimistic. The problem seemed simple enough to solve. On the one hand, a certain number of resources: coal, the abundance of which was discovered, or rather rediscovered oil, source of all the problems ... In fact, the problems seemed to come, if not from oil itself (an easy explanation), then from those who produced it without really owning it, and from those who owned it without really control ling it natural gas, second only to oil and less compromised uranium, all of whose promises had not been kept, but whose resources were not in question solar energy, multiform and really inexhaustible thermonuclear fusion, and geothermal energy, etc. On the other hand, energy consumption, though excessive perhaps, was symbolic of progress, development, and increased well being. The originality of the energy policies set up since 1974 lies in the fact they no longer aimed to produce (or import) more, but to consume less. They sought, and still seek, what might be emphatically called the control of energy consump tion, or rather the control of energy demand.

Download or read book Handbook of Industrial Energy Analysis written by I. Boustead and published by Ellis Horwood. This book was released on 1979 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sectoral Energy Demand Analysis and Industrial Energy Demand Forecasting for the Ho Chi Minh City Vietnam written by Nguyễn Thanh Bình and published by . This book was released on 1994 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Renewable Energy Resource Assessment and Forecasting written by George Galanis and published by MDPI. This book was released on 2020-11-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Download or read book Forecasting the Industrial Demand for Energy written by Anders Björklund and published by . This book was released on 1974 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Long term Industrial Energy Forecasting LIEF Model 18 sector Version written by and published by . This book was released on 1993 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new 18-sector Long-term Industrial Energy Forecasting (LIEF) model is designed for convenient study of future industrial energy consumption, taking into account the composition of production, energy prices, and certain kinds of policy initiatives. Electricity and aggregate fossil fuels are modeled. Changes in energy intensity in each sector are driven by autonomous technological improvement (price-independent trend), the opportunity for energy-price-sensitive improvements, energy price expectations, and investment behavior. Although this decision-making framework involves more variables than the simplest econometric models, it enables direct comparison of an econometric approach with conservation supply curves from detailed engineering analysis. It also permits explicit consideration of a variety of policy approaches other than price manipulation. The model is tested in terms of historical data for nine manufacturing sectors, and parameters are determined for forecasting purposes. Relatively uniform and satisfactory parameters are obtained from this analysis. In this report, LIEF is also applied to create base-case and demand-side management scenarios to briefly illustrate modeling procedures and outputs.

Download or read book Energy Analysis and Policy written by Mohan Munasinghe and published by Butterworth-Heinemann. This book was released on 2013-10-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Analysis and Policy: Selected Works discusses the major aspect of electricity economics, including pricing, demand forecasting, investment analysis, and system reliability. This book provides a clear and comprehensive overview of the diversity of problems in analyzing energy markets and designing sound energy policies. Organized into 14 chapters, this book first discusses the energy economics in developing countries; integrated national energy planning (INEP) in developing countries; energy pricing; practical application of INEP using microcomputers; and energy strategies for oil-importing developing countries. Subsequent chapters describe the energy demand management and conservation; national energy policy implementation; energy demand analysis and forecasting; and energy project evaluation and planning. Other chapters explore non-conventional energy project analysis and national energy policy; rural energy issues and supply options; and bioenergy management policy. Rural-industrial energy and fossil fuel issues, as well as energy R&D decision-making in developing countries, are also presented. As the issues in this book are very important, this book will be helpful to a wide and appreciative audience.

Download or read book Model Documentation Report written by and published by . This book was released on 2000 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NEMS industrial demand model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The industrial model generates mid-term (up to the year 2020) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the industrial model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the industrial model passes back to the NEMS system estimates of consumption by fuel types.

Download or read book Electric Consumption by Industrial Enterprises written by Ikromjon U. Rakhmonov and published by Springer Nature. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Industrial Energy Demand Forecasting written by Brookhaven National Laboratory and published by . This book was released on 1982 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Energy Demand in Industry written by Nabaz T Khayyat and published by Springer. This book was released on 2015-08-07 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a stochastic analysis based on production risk and application of this method in the industrial sector under production risk where energy use is an input factor. Using South Korea as a case study, the book empirically models energy demand at the industrial level and analyzes the results to identify key determinants of energy demand, productions level, productions risk and energy usage efficiency. Particular attention is paid to the factors that enhance production risk or increase variations in energy input during production. A dynamic panel model is specified and applied to 25 Korean industrial sectors over the period 1970-2007. The determinants of energy usage are identified and their effects in the form of elasticities of energy usage are estimated. In addition the structural changes in the energy demand pattern are explored. Stochastic production technology is applied to create two primary models: A production model where the energy usage is a determinant of output and an energy demand model based on an inverted factor demand model where demand is a key determinant of the level of energy usage. The findings reveal that: First, there are large variations in the degree of overuse or inefficiency in energy usage among the individual industries and over time; second, ICT (information and communication technology) capital and labor are substituting energy; third, ICT capital and value added services are two input factors decreasing the variability of energy demand while non-ICT capital, material and labor are increasing the variability of energy demand. Finally, the results suggest that technical progress contributes more to the increase of mean of energy demand than to the reduction of the level of risk. An emerging recommendation is that industries increase the level of ICT capital and digitalization and invest more in R&D activities and value added services to reduce the uncertainty related to their demand for energy. This study forms the structure of the demand for energy under stochastic production risk for the South Korean industrial sector. Public research programs aimed at the industrial sector should be concerned about both mean and risk properties in research on new technologies and in the investigation of possible alternative energy inputs. This book describes the state of the art in energy usage analysis and production risk, applying factor requirement methodology. It will be of use as a main or supplementary text in the teaching of advanced graduate courses but also as a reference for those working on empirically advanced research. The book is an important addition to the existing literature on industrial development, with its focus on energy as a core production input.

Download or read book Policy Modeling for Industrial Energy Use written by and published by . This book was released on 2003 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of innovative (no n-monetary) policy instruments through evaluation and to develop approaches to model both conventional and innovative policies. The explicit modeling of barriers and decision making in the models seems a promising way to enable modeling of conventional and innovative policies. A modular modeling approach is essential to not only provide transparency, but also to use the available resources most effectively and efficiently. Many large models have been developed in the past, but have been abandoned after only brief periods of use. A development path based on modular building blocks needs the establishment of a flexible but uniform modeling framework. The leadership of international agencies and organizations is essential in the establishment of such a framework. A preference is given for ''softlinks'' between different modules and models, to increase transparency and reduce complexity. There is a strong need to improve the efficiency of data collection and interpretation efforts to produce reliable model inputs. The workshop participants support the need for the establishment of an (in- )formal exchanges of information, as well as modeling approaches. The development of an informal network of research institutes and universities to help build a common dataset and exchange ideas on specific areas is proposed. Starting with an exchange of students would be a relative low-cost way to start such collaboration. It would be essential to focus on specific topics. It is also essential to maintain means of regular exchange of ideas between researchers in the different focus points.

Download or read book Intelligent Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.