The role of thermal energy storage in industrial energy conservation

Thermal Energy Storage for Industrial Applications is a major thrust of the Department of Energy's Thermal Energy Storage Program. Utilizing Thermal Energy Storage (TES) with process or reject heat recovery systems is shown to be extremely beneficial for several applications. Recent system studies resulting from contracts awarded by the Department of Energy (DOE) identified four especially significant industries where TES appears attractive - food processing, paper and pulp, iron and steel, and cement. Potential annual fuel savings with large scale implementation of near term TES systems for these industries is over 9,000,000 bbl of oil. This savings is due to recuperation and storage in the food processing industry, direct fuel substitution in the paper and pulp industry and reduction in electric utility peak fuel use through inplant production of electricity from utilization of reject heat in the steel and cement industries

Steam storage systems for flexible biomass CHP plants - Evaluation and initial model based calculation

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Within the present study a novel concept for the demand-oriented power generation of a solid-biomass fueled combined heat and power (CHP) plant is investigated. The integration of a steam storage system into the plants process enables a decoupling of the steam (boiler) and the power generation (steam turbine). By buffering the steam, the power output of the turbine can be adjusted without changing the rated thermal capacity of the plant. Various available storage systems are selected and comparatively evaluated applying the adapted analytic hierarchy process (AHP). The technology assessment revealed that the combination of a steam accumulator and solid concrete storage represents the best suiting option. An initial model based simulation study is performed to identify the fundamental behaviour of this system, integrated in a biomass CHP plant. The operation principle is has proved their technical feasibility and seems to be applicable at a commercial scale. According to the modelling results flexible short term power generation in a time range of up to fifteen minutes is applicable. A load-range of almost the plants rated capacity can be achieved

Home Canning of Fruits, Vegetables, and Meats

Exact date of bulletin unknown.PDF pages: 2

Home Drying of Foods

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Integrated grain storage - technology transfer for organic farming

The attached document is the final report of the Defra Project OF0176. Demand for organic grain continues to grow and currently in the UK much has to be imported to satisfy the market. Expansion of UK production, together with continued imports, will see an increase in the need for effective grain storage using organic methods to preserve the quality of this valuable commodity. The objectives of this project were to conduct a desk study review to: 1) Highlight the main grain storage problems experienced by organic growers in the UK. 2) Bring together in a more convenient form technical information already available that will enable growers to tackle these problems more successfully. 3) Identify areas of current storage technology requiring a minimum of modification to ensure a smooth transfer from the conventional to the organic sector. 4) Identify areas where appropriate organic alternatives to conventional storage procedures do not exist that will require further research and development to find replacements. The following have been identified as areas requiring further research and development that are likely to provide important opportunities for improving the storage of organic grain: • Store structure cleaning, including the effectiveness of vacuum cleaning and steam treatments, and the feasibility of using diatomaceous earths to control invertebrate pests. • Energy efficient drying and cooling systems, and consider the use of renewable energy sources including solar and wind power or the processing of waste products and energy crops. • More effective invertebrate pest monitoring through improvements in sampling strategies, together with enhanced trap design and the incorporation of lures. • Disinfestation using grain cleaners and hot air driers. • Biological control for store structure treatments. This will require work to assess the effectiveness of naturally occurring biological control agents to treat residual infestations hidden in empty grain store structures. Strategies will need to be developed to encourage the development and conservation of beneficial invertebrates in stores, including the possible use of natural semiochemicals to manipulate their behaviour. • Biological control for surface infestations of grain. As well as looking at the practicality of using top-dressing or bait trap application techniques to control grain surface infestations in cooled bins, there is a need to develop effective methods for the removal of beneficial invertebrates from the grain immediately before it is marketed. A more detailed Executive Summary can be found at the top of the main report

How to Use Your Pressure Canner

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Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants

The prediction of electrical power produced in combined cycle power plants is a key challenge in the electrical power and energy systems field. This power production can vary depending on environmental variables, such as temperature, pressure, and humidity. Thus, the business problem is how to predict the power production as a function of these environmental conditions, in order to maximize the profit. The research community has solved this problem by applying Machine Learning techniques, and has managed to reduce the computational and time costs in comparison with the traditional thermodynamical analysis. Until now, this challenge has been tackled from a batch learning perspective, in which data is assumed to be at rest, and where models do not continuously integrate new information into already constructed models. We present an approach closer to the Big Data and Internet of Things paradigms, in which data are continuously arriving and where models learn incrementally, achieving significant enhancements in terms of data processing (time, memory and computational costs), and obtaining competitive performances. This work compares and examines the hourly electrical power prediction of several streaming regressors, and discusses about the best technique in terms of time processing and predictive performance to be applied on this streaming scenario.This work has been partially supported by the EU project iDev40. This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 783163. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Germany, Belgium, Italy, Spain, Romania. It has also been supported by the Basque Government (Spain) through the project VIRTUAL (KK-2018/00096), and by Ministerio de Economía y Competitividad of Spain (Grant Ref. TIN2017-85887-C2-2-P)

Flexible operation of supercritical power plant via integration of thermal energy storage

© 2018 The Author(s).This chapter presents the recent research on various strategies for power plant flexible operations to meet the requirements of load balance. The aim of this study is to investigate whether it is feasible to integrate the thermal energy storage (TES) with the thermal power plant steam-water cycle. Optional thermal charge and discharge locations in the cycle have been proposed and compared. Dynamic modeling and simulations have been carried out to demonstrate the capability of TES integration in supporting the flexible operation of the power plant. The simulation software named SimuEngine is adopted, and a 600 MW supercritical coal-fired power plant model is implemented onto the software platform. Three TES charging strategies and two TES discharging strategies are proposed and verified via the simulation platform. The simulation results show that it is feasible to extract steam from steam turbines to charge the TES and to discharge the stored thermal energy back to the power generation processes. The improved capability of the plant flexible operation is further studied in supporting the responses to the grid load demand changes. The results demonstrated that the TES integration has led to much faster and more flexible responses to the load demand changes.Peer reviewe

Index of Unions in Volume I, pp. 389-405

The Catherwood Library and ILR School at Cornell are pleased to again make available an extremely important index of major labor union publications, long out of print. It is Lloyd G. Reynolds and Charles C. Killingsworth\u27s Trade Union Publications: The Official Journals, Convention Proceedings and Constitutions of International Unions and Federations, 1850-1941. Baltimore, The John Hopkins Press, 1944