The problem of the direct conversion of chemical energy into electrical energy <problema meposredstvennogo prevrascheniya khimicheskoy energii v elektricheskuyu<
Converting chemical energy into electrical energy
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Converting chemical energy into electrical energy
Radiant energy is converted into electric energy by irradiating a capacitor including an ionic dielectric. The dielectric is a sintered crystal superionic conductor, e.g., lanthanum trifluoride, lanthanum trichloride, or silver bromide, so that a multiplicity of crystallites exist between electrodes of the capacitor. The radiant energy cyclically irradiates the dielectric so that the dielectric exhibits a cyclic photocapacitive like effect. Adjacent crystallites have abutting surfaces that enable the crystallites to effectively form a multiplicity of series capacitor elements between the electrodes. Each of the capacitor elements has a dipole layer only on or near its surface. The capacitor is initially charged to a voltage just below the dielectric breakdown voltage by connecting it across a DC source causing a current to flow through a charging resistor to the dielectric. The device can be utilized as a radiant energy detector or as a solar energy cell.
1. Project Objectives: The objectives of the project are to elucidate science issues intrinsic to high energy density electricity storage (battery) systems for smart-grid applications, research improvements in such systems to enable scale-up to grid-scale and demonstrate a large 200 kWh battery to facilitate transfer of the technology to industry. 2. Background: Complex and difficult to control interfacial phenomena are intrinsic to high energy density electrical energy storage systems, since they are typically operated far from equilibrium. One example of such phenomena is the formation of dendrites. Such dendrites occur on battery electrodes as they cycle, and can lead to internal short circuits, reducing cycle life. An improved understanding of the formation of dendrites and their control can improve the cycle life and safety of many energy storage systems, including rechargeable lithium and zinc batteries. Another area where improved understanding is desirable is the application of ionic liquids as electrolytes in energy storage systems. An ionic liquid is typically thought of as a material that is fully ionized (consisting only of anions and cations) and is fluid at or near room temperature. Some features of ionic liquids include a generally high thermal stability (up to 450°C), a high electrochemical window (up to 6 V) and relatively high intrinsic conductivities. Such features make them attractive as battery or capacitor electrolytes, and may enable batteries which are safer (due to the good thermal stability) and of much higher energy density (due to the higher voltage electrode materials which may be employed) than state of the art secondary (rechargeable) batteries. Of particular interest is the use of such liquids as electrolytes in metal air batteries, where energy densities on the order of 1-2,000 Wh/kg are possible; this is 5-10 times that of existing state of the art lithium battery technology. The Energy Institute has been engaged in the development of flow-assisted nickel zinc battery technology. This technology has the promise of enabling low-cost (<$250/kWh) energy storage, while overcoming the historical poor cycle-life drawback. To date, the results have been promising, with a cycle life of 1,500 cycles demonstrated in small laboratory cells – an improvement of approximately 400%. Prior state of the art nickel zinc batteries have only demonstrated about 400 cycles to failure.
Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.
This guide was created to empower Energy Storage for Social Equity (ES4SE) community members to learn more about power systems, energy distribution, renewable energy, and battery storage systems. It was developed in an accessible format for audiences of varied backgrounds and requires no previous experience in energy storage. It is intended to serve readers as both an educational and reference document as they consider, procure, and deploy power systems that include battery energy storage technologies and microgrids in their communities. By providing an introductory overview of the basics of electricity, power generation, and household energy consumption and loads, this guide prepares readers to learn even more about battery energy storage, microgrid systems, and the sizing of solar and battery systems.
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Electrical energy storage is of growing importance to energy – with increasing use in transportation and on the electrical grid. Batteries are used in all types of vehicles, but have increased in importance with the growth of hybrid and all-electric powered vehicles. For the electrical grid, batteries have a wide diversity of applications from grid stability to storage of electricity generated when the load is low so it is available when there is more demand. Distributed generation of electricity by solar panels and wind generation are also drivers for enhanced energy storage. In both industries, a key enabler will be low-cost batteries with long life, excellent safety, and superior performance. In addition to these two big markets, consumer electronics powered by rechargeable batteries continues to grow into new areas with the advent of wearable technology, internet-of-things, and virtual reality. Today’s energy storage technologies fall far short of the requirements for many of these growing applications. Because of these technology gaps, advances in energy storage are expected to play a critical role for a secure energy future. This document was produced in preparation for a Department of Energy (DOE) Office of Basic Energy Sciences Workshop titled “Basic Research Needs for Next Generation Electrical Energy Storage.” This workshop will identify key basic research directions that could provide revolutionary breakthroughs needed for meeting future requirements for electrical energy storage. This document was intended to provide a high-level assessment of current technologies used for electrical storage—focusing specifically on batteries and electrochemical capacitors—and to define requirements that are foreseen for the future application of these technologies in transportation vehicles, stationary storage applications, and consumer electronics. Thus, it provides a common background for the workshop participants and sets the technological basis for the workshop.
Electric energy efficiency resources save energy and may reduce peak demand. Historically, quantification of energy efficiency benefits has largely focused on the economic value of energy savings during the first year and lifetime of the installed measures. Due in part to the lack of publicly available research on end-use load shapes (i.e., the hourly or seasonal timing of electricity savings) and energy savings shapes, consideration of the impact of energy efficiency on peak demand reduction (i.e., capacity savings) has been more limited. End-use load research and the hourly valuation of efficiency savings are used for a variety of electricity planning functions, including load forecasting, demand-side management and evaluation, capacity and demand response planning, long-term resource planning, renewable energy integration, assessing potential grid modernization investments, establishing rates and pricing, and customer service. This study reviews existing literature on the time-varying value of energy efficiency savings, provides examples in four geographically diverse locations of how consideration of the time-varying value of efficiency savings impacts the calculation of power system benefits, and identifies future research needs to enhance the consideration of the time-varying value of energy efficiency in cost-effectiveness screening analysis. Findings from this study include: -The time-varying value of individual energy efficiency measures varies across the locations studied because of the physical and operational characteristics of the individual utility system (e.g., summer or winter peaking, load factor, reserve margin) as well as the time periods during which savings from measures occur. -Across the four locations studied, some of the largest capacity benefits from energy efficiency are derived from the deferral of transmission and distribution system infrastructure upgrades. However, the deferred cost of such upgrades also exhibited the greatest range in value of all the components of avoided costs across the locations studied. -Of the five energy efficiency measures studied, those targeting residential air conditioning in summer-peaking electric systems have the most significant added value when the total time-varying value is considered. -The increased use of rooftop solar systems, storage, and demand response, and the addition of electric vehicles and other major new electricity-consuming end uses are anticipated to significantly alter the load shape of many utility systems in the future. Data used to estimate the impact of energy efficiency measures on electric system peak demands will need to be updated periodically to accurately reflect the value of savings as system load shapes change. -Publicly available components of electric system costs avoided through energy efficiency are not uniform across states and utilities. Inclusion or exclusion of these components and differences in their value affect estimates of the time-varying value of energy efficiency. -Publicly available data on end-use load and energy savings shapes are limited, are concentrated regionally, and should be expanded.
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We present a simple method to estimate the maximum possible electrical energy saving that might be achieved by increasing the albedo of surfaces in a large city. We restrict this to the “indirect effect”, the cooling of outside air that lessens the demand for air conditioning (AC). Given the power demand of the electric utilities and data about the city, we can use a single linear equation to estimate the maximum savings. For example, the result for an albedo change of 0.2 of pavements in a typical warm city in California, such as Sacramento, is that the saving is less than about 2 kWh per m2 per year. This may help decision makers choose which heat island mitigation techniques are economical from an energy-saving perspective.
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Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.
This report provides a perspective on issues pertaining to the deployment of utility owned electrical energy storage. The intended audience includes state electric utility regulatory authorities, their staffs and the planning personnel in the utilities they regulate. Its purpose is to inform the audience about the potential opportunities for energy storage technologies to play a greater role in the evolving electricity marketplace and grid. The surge of investments in renewable energy (RE) during the last decade, particularly wind and solar energy has stimulated interest in energy storage. These technologies have the capability to balance the variability inherent in many RE technologies. The state public utility commissions’ (PUC) responsibility for regulating utilities leads to a focus on aspects of grid operations and expansion including: voltage and frequency regulation; distributed generation; renewable energy, particularly the administration of Renewable Portfolio Standards (RPS) mandates; and grid capital investment. Energy storage systems can contribute in each of these areas. Given the potential of energy storage technologies to perform these functions, their access to the regulatory process must be improved together with removal of barriers and appropriate and consistent cost benefit analysis methodologies so that they are routinely included in the suite of options considered for providing key grid services. The solutions that deliver the services cost effectively will likely be the solutions put forth by utilities and approved by utility commissions. Two storage system case studies are presented as a means to illustrate some of the fundamental valuation principles particularly pertinent to energy storage systems.