TL;DR: In this article, a European solar radiation database was developed using a solar radiation model and climatic data integrated within the Photovoltaic Geographic Information System (PVGIS) during the years 2001-2005, which consists of monthly and yearly averages of global irradiation and related climatic parameters, representing the period 1981-1990.
TL;DR: In this paper, the authors investigated whether a degree of built-in frequency stability could be provided by incorporating dynamic demand control into certain consumer appliances, such as refrigerators, which would monitor system frequency and switch the appliance on or off accordingly, striking a compromise between the needs of the appliance and the grid.
Abstract: Frequency stability in electricity networks is essential to the maintenance of supply quality and security. This paper investigates whether a degree of built-in frequency stability could be provided by incorporating dynamic demand control into certain consumer appliances. Such devices would monitor system frequency (a universally available indicator of supply-demand imbalance) and switch the appliance on or off accordingly, striking a compromise between the needs of the appliance and the grid. A simplified computer model of a power grid was created incorporating aggregate generator inertia, governor action and load-frequency dependence plus refrigerators with dynamic demand controllers. Simulation modelling studies were carried out to investigate the system's response to a sudden loss of generation, and to fluctuating wind power. The studies indicated a significant delay in frequency-fall and a reduced dependence on rapidly deployable backup generation.
TL;DR: In this article, the authors estimate the relationship between GDP and electricity consumption in 10 newly industrializing and developing Asian countries using both single data sets and panel data procedures, and the empirical results from single data set indicate that the causality directions in the 10 Asian countries are mixed while there is a uni-directional short-run causality running from economic growth to electricity consumption.
TL;DR: In this article, the authors investigate the economics of two emerging electric energy storage (EES) technologies: sodium sulfur batteries and flywheel energy storage systems in New York state's electricity market.
TL;DR: Grey prediction with rolling mechanism (GPRM) approach is proposed to predict the Turkey's total and industrial electricity consumption and results show that proposed approach estimates more accurate results than the results of MAED, and have explicit advantages over extant studies.
TL;DR: In this article, a neural network approach for forecasting short-term electricity prices is proposed. But the authors focus on the short term and do not consider the long-term forecast of electricity prices, and use a three-layered feed-forward neural network for forecasting next-week electricity prices.
TL;DR: In this paper, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this paper, an analysis of the characteristics of the wind power resource of the United Kingdom has been carried out, based on modelling of hourly observed wind speed data from 66 onshore weather recording sites for the period 1970-2003.
TL;DR: The authors analyzes the pricing behavior of electricity generating firms in the restructured California market from its inception in April 1998 until its collapse in late 2000, and finds that conduct is fairly consistent with a Cournot pricing game.
Abstract: This paper analyzes the pricing behavior of electricity generating firms in the restructured California market from its inception in April 1998 until its collapse in late 2000. Using detailed firm-level data, I find that conduct is fairly consistent with a Cournot pricing game for much of the sample. In summer and fall 2000, the market was slightly less competitive, yet the dramatic rise in prices was more driven by changes in costs and demand than by changes in firm conduct. The five large nonutility generators raised prices slightly above unilateral market-power levels in 2000, but fell far short of colluding on the joint monopoly price.
TL;DR: Using cointegration analysis and autoregressive integrated moving average (ARIMA) modeling, the present article focuses on this issue by both providing an electricity demand estimation and forecast, and comparing the results with official projections as discussed by the authors.
TL;DR: This analysis indicates that electricity customers have the ability to mute the potential shock to their business operations by as much as 86% and market resilience lowers the losses, in part through the dampening of general equilibrium effects.
Abstract: Regional economies are highly dependent on electricity, thus making their power supply systems attractive terrorist targets. We estimate the largest category of economic losses from electricity outages-business interruption-in the context of a total blackout of electricity in Los Angeles. We advance the state of the art in the estimation of the two factors that strongly influence the losses: indirect effects and resilience. The results indicate that indirect effects in the context of general equilibrium analysis are moderate in size. The stronger factor, and one that pushes in the opposite direction, is resilience. Our analysis indicates that electricity customers have the ability to mute the potential shock to their business operations by as much as 86%. Moreover, market resilience lowers the losses, in part through the dampening of general equilibrium effects.
TL;DR: In this paper, the authors examined four mutually exclusive scenarios for the expansion of the Greek electricity system developed by official authorities and representing alternative views on meeting electricity demand and concluded that the scenario assuming the highest penetration of renewable energy sources is the best compromise configuration for the Greek power generation sector.
Abstract: This paper examines four mutually exclusive scenarios for the expansion of the Greek electricity system developed by official authorities and representing alternative views on meeting electricity demand. The aim is to encompass all positive and negative side-effects characterizing the electricity generation technologies assumed to participate in each scenario and emphasis is given to the particular role of renewable energy sources which represent a major differentiating factor between them. The calculation of economic, technical and environmental performances of the examined scenarios for the year 2010 shows that electricity planning is a complicated task since improvements in one policy target are accompanied by losses in others. In order to resolve this conflict, the scenarios are comparatively evaluated with two decision support techniques, multicriteria decision analysis and cost–benefit analysis, which are capable of broadening the strict boundaries of a financial analysis while avoiding intuitive solutions that are often applied in practice. Following the two completely different evaluation approaches, it is confirmed that the scenario assuming the highest penetration of renewable energy sources is the best compromise configuration for the Greek power generation sector.
TL;DR: In this paper, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this article, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this article, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this article, three aspects of producing hydrogen via renewable electricity sources are analyzed to determine the potential for solar and wind hydrogen production pathways: a renewable hydrogen resource assessment, a cost analysis of hydrogen production via electrolysis, and the annual energy requirements for producing hydrogen for refueling.
TL;DR: In this paper, the cost effect of introducing selected storage technologies in a large variety of autonomous electrical grids so as to ensure higher levels of renewable energy sources penetration, in particular wind and solar, is examined in detail.
TL;DR: In this paper, the value of supply security in order to determine the socially optimal level of security was studied for the Netherlands in terms of lost production and lost leisure time, and large differences in damage are found between sectors, regions and periods.
TL;DR: A self-sustaining, portable, power station that may be moved by land, air, or sea to an area that has no utilities is defined in this paper, where the station is provided with at least one wind turbine and/or solar panel arrays in communication with one electrical distribution and storage means.
Abstract: A self-sustaining, portable, power station that may be moved by land, air, or sea to an area that has no utilities. The station is provided with at least one wind turbine and/or solar panel arrays in communication with at least one electrical distribution and storage means. The derived electricity is used to power various systems including, albeit not limited to, a communications system, a water filtration system, a water distribution system to allow the public to draw potable water and provide basic hygiene. The electricity derived may also be used to run outside systems, such as schools, hospitals, or the like.
TL;DR: In this article, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this paper, the Global MARKAL-Model (GMM) is used to address impacts of internalisation of external costs from power production, which reflect the costs of environmental and health damages from local pollutants (SO 2, NO x ) and climate change, wastes, occupational health, risk of accidents, noise and other burdens.
TL;DR: In this paper, the authors describe a power aggregation system for electric vehicles, where individual Internet connections are established to numerous electric resources intermittently connected to the power grid, such as electric vehicles.
Abstract: Systems and methods are described for a power aggregation system. In one implementation, a service establishes individual Internet connections to numerous electric resources intermittently connected to the power grid, such as electric vehicles. The Internet connection may be made over the same wire that connects the resource to the power grid. The service optimizes power flows to suit the needs of each resource and each resource owner, while aggregating flows across numerous resources to suit the needs of the power grid. The service can bring vast numbers of electric vehicle batteries online as a new, dynamically aggregated power resource for the power grid. Electric vehicle owners can participate in an electricity trading economy regardless of where they plug into the power grid.
TL;DR: In this article, a detailed analysis of the potential future costs and performance of post-combustion CO2 absorption in combination with a natural gas combined cycle (NGCC) was performed.
TL;DR: In this article, a unified exergy-based structure that provides useful insights and direction to those involved in exergy, environment, and sustainable development for analyzing and addressing appropriately each of these areas using exergy concepts is presented.
Abstract: Publisher Summary
The relation between sustainable development and the use of resources, particularly energy resources, is of great significance to societies. Attaining sustainable development requires that sustainable energy resources be used, and is assisted if resources are used efficiently. Exergy methods are important since they are useful for improving efficiency. This chapter considers exergy as the confluence of energy, environment, and sustainable development. The basis for this treatment is the interdisciplinary character of exergy and its relation to each of these disciplines. The primary objective is to present a unified exergy-based structure that provides useful insights and direction to those involved in exergy, environment, and sustainable development for analyzing and addressing appropriately each of these areas using exergy concepts. Further, as energy policies increasingly play an important role in addressing sustainability issues and a broad range of local, regional, and global environmental concerns, policy makers also need to appreciate the exergy concept and its ties to these concerns. The exergy-related implications that assist in achieving sustainable development by providing insights into efficiency improvement and environmental-impact reduction are also discussed. These insights, combined with economics and other factors, can assist in improving the sustainability of the electricity generation process considered and the broader provision of electricity and electrical-related services in regions. The need to understand the linkages between exergy and energy, sustainable development, and environmental impact has become increasingly significant as it allows the problems to be better addressed and helps to develop solutions that are beneficial for the economy and society.
TL;DR: An agent-based simulation framework for electricity Markets is described to facilitate the development of future models for electricity markets.
Abstract: Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview of electricity markets and briefly introduce the agent-based simulation technique. We then investigate several general-purpose agent-based simulation tools. Next, we review four popular agent-based simulation packages developed for electricity markets and several agent-based simulation models reported in the literature. We compare all the reviewed packages and models and identify their common features and design issues. Based on the study, we describe an agent-based simulation framework for electricity markets to facilitate the development of future models for electricity markets.
TL;DR: In this article, the economic value of using electric heat boilers and heat pumps as wind power integration measures is analyzed in a North European power system covering Denmark, Finland, Germany, Norway and Sweden, taking the stochastic nature of wind power production explicitly into account when making dispatch decisions.
TL;DR: A profit-based model for short-term hydro scheduling adapted to pool-based electricity markets, which can be formulated as a MILP optimization problem, where unit-commitment decisions are modeled by means of binary variables.
TL;DR: In this paper, a self-service charging of electric storage power systems of electric cars is proposed for off-peak rates when available and storing same for subsequent use, and a charging station automatically modifying grid electricity to be suitable for charging an array of said automobiles.
Abstract: A method for pay-per-use, self-service charging of electric storage power systems of electric automobiles, said automobiles charged via electrical connections to a provided curbside charging station, said charging station automatically modifying grid electricity to be suitable for charging an array of said automobiles, said charging station also automatically securing electricity at off-peak rates when available and storing same for subsequent use.
TL;DR: In this article, the authors used the ORCED (Oak Ridge Competitive Electricity Dispatch) model to evaluate the impact of plug-in hybrid electric vehicles (PHEVs) on the Virginia-Carolinas (VACAR) electric grid.
Abstract: Plug-in Hybrid Electric Vehicles (PHEVs) have the potential to increase the use of electricity to fuel the U.S. transportation needs. The effect of this additional demand on the electric system will depend on the amount and timing of the vehicles' periodic recharging on the grid. We used the ORCED (Oak Ridge Competitive Electricity Dispatch) model to evaluate the impact of PHEVs on the Virginia-Carolinas (VACAR) electric grid in 2018. An inventory of one million PHEVs was used and charging was begun in early evening and later at night for comparison. Different connection power levels of 1.4 kW, 2 kW, and 6 kW were used. The results include the impact on capacity requirements, fuel types, generation technologies, and emissions. Cost information such as added cost of generation and cost savings versus use of gasoline were calculated. Preliminary results of the expansion of the study to all regions of the country are also presented. The results show distinct differences in fuels and generating technologies when charging times are changed. At low specific power and late in the evening, coal was the major fuel used, while charging more heavily during peak times led to more use of combustion turbines and combined cycle plants.