TL;DR: In this paper, the authors comprehensively review various research works on the technical, environmental and economic benefits of renewable DG integration such as line-loss reduction, reliability improvement, economic benefits and environmental pollution optimisation.
Abstract: Recent advances in renewable energy technologies and changes in the electric utility infrastructures have increased the interest of the power utilities in utilisation of distributed generation (DG) resources to generate electricity. The recent trends in the development and utilisation of DG resources for power generation application are subject to the deregulation of the electric power sector and technical constraints to extend distribution and transmission networks to some areas. The electric power system planners, regulators and the policy makers have derived many benefits from integration of DG units into the distribution networks. These benefits depend on the characteristics of DG units such as photovoltaic (PV), wind system and reciprocating engines, characteristics of the loads, local renewable resources and network configuration. This study comprehensively reviews various research works on the technical, environmental and economic benefits of renewable DG integration such as line-loss reduction, reliability improvement, economic benefits and environmental pollution optimisation. These benefits can be optimised if all the renewable DG units are optimally sized, located and configured. This study also reviews the current status of renewable DG technologies based on different characteristics and the operational issues of integration of renewable DG into the electric power systems.
TL;DR: In this paper, the authors proposed a distributed electric distribution system based on a unidirectional information flow from sources to control centers, which limits the use of renewable energy resources and offers poor EV infrastructure.
Abstract: The increasing proliferation of renewable energy resources and new sizeable loads like electric vehicle (EV) charging stations has posed many technical and operational challenges to distribution grids [1]. Encouraged by attractive tax incentives and promotion policies, local grid end consumers are becoming not only consumers of electricity but, in many cases, also producers. The actual electric distribution system limits the use of renewable energy resources, offers poor EV infrastructure, and is based on a unidirectional information flow from sources to control centers.
TL;DR: In this article, the authors estimate that India's average reported level of shortages reduces the average plant's revenues and producer surplus by 5 to 10 percent, but average productivity losses are significantly smaller because most inputs can be stored during outages.
Abstract: We estimate the effects of electricity shortages on Indian manufacturers, instrumenting with supply shifts from hydroelectric power availability. We estimate that India’s average reported level of shortages reduces the average plant’s revenues and producer surplus by 5 to 10 percent, but average productivity losses are significantly smaller because most inputs can be stored during outages. Shortages distort the plant size distribution, as there are significant economies of scale in generator costs and shortages more severely affect plants without generators. Simulations show that offering interruptible retail electricity contracts could substantially reduce the impacts of shortages. (JEL D24, L60, L94, O13, O14, Q41) In this paper, we ask: How do electricity shortages affect input choices, reve nue, and productivity in the Indian manufacturing sector? One potential prior is that because electricity is an essential input—most factories cannot produce anything without electricity for lights, motors, and machines—shortages could significantly reduce output. On the other hand, many firms might insure themselves against outages by purchasing generators or otherwise substituting away from grid electricity precisely because the potential losses are so large. The limited existing evidence could support either argument. Foster and Steinbuks (2009) and others argue that the cost of self-generation is relatively small, and Alam (2013) and Fisher-Vanden, Mansur, and Wang (2015) highlight ways in which plants substitute away from
TL;DR: In this article, a review and classification of methods for smart charging (including power to vehicle and vehicle-to-grid) of electric vehicles for fleet operators is presented, and three control strategies and their commonly used algorithms are described.
Abstract: Electric vehicles can become integral parts of a smart grid, since they are capable of providing valuable services to power systems other than just consuming power. On the transmission system level, electric vehicles are regarded as an important means of balancing the intermittent renewable energy resources such as wind power. This is because electric vehicles can be used to absorb the energy during the period of high electricity penetration and feed the electricity back into the grid when the demand is high or in situations of insufficient electricity generation. However, on the distribution system level, the extra loads created by the increasing number of electric vehicles may have adverse impacts on grid. These factors bring new challenges to the power system operators. To coordinate the interests and solve the conflicts, electric vehicle fleet operators are proposed both by academics and industries. This paper presents a review and classification of methods for smart charging (including power to vehicle and vehicle-to-grid) of electric vehicles for fleet operators. The study firstly presents service relationships between fleet operators and other four actors in smart grids; then, modeling of battery dynamics and driving patterns of electric vehicles, charging and communications standards are introduced; after that, three control strategies and their commonly used algorithms are described; finally, conclusion and recommendations are made.
TL;DR: In this article, an interval optimization based coordinated operating strategy for the gas-electricity integrated energy system (IES) considering demand response and wind power uncertainty is proposed, where the nonlinear characteristics are modeled including pipeline gas flow and compressors.
TL;DR: In this article, the authors combine a theoretical discrete-choice model of vehicle purchases, an econometric analysis of electricity emissions, and the AP2 air pollution model to estimate the geographic variation in the environmental benefits from driving electric vehicles.
Abstract: We combine a theoretical discrete-choice model of vehicle purchases, an econometric analysis of electricity emissions, and the AP2 air pollution model to estimate the geographic variation in the environmental benefits from driving electric vehicles. The second-best electric vehicle purchase subsidy ranges from $2,785 in California to -$4,964 in North Dakota, with a mean of -$1,095. Ninety percent of local environmental externalities from driving electric vehicles in one state are exported to others, implying they may be subsidized locally, even when the environmental benefits are negative overall. Geographically differentiated subsidies can reduce deadweight loss, but only modestly.
TL;DR: In this paper, the authors presented a data-driven forecasting model for day-ahead electricity usage of buildings in 15-minute resolution by using variable importance analysis and selected key variables: day type indicator, time-of-day, HVAC set temperature schedule, outdoor air dry-bulb temperature, and outdoor humidity as the most important predictors for electricity consumption.
TL;DR: In this paper, a review and classification of existing DER as flexibility providers and a breakdown of trading platforms for DER flexibility in electricity markets is presented, in a situation with smart metering and real-time management of distribution networks, similar arrangements could be enabled for medium and low-voltage levels.
Abstract: In many electric systems worldwide the penetration of Distributed Energy Resources (DER) at the distribution levels is increasing. This penetration brings in different challenges for electricity system management; however if the flexibility of those DER is well managed opportunities arise for coordination. At high voltage levels under responsibility of the system operator, trading mechanisms like contracts for ancillary services and balancing markets provide opportunities for economic efficient supply of system flexibility services. In a situation with smart metering and real-time management of distribution networks, similar arrangements could be enabled for medium- and low-voltage levels. This paper presents a review and classification of existing DER as flexibility providers and a breakdown of trading platforms for DER flexibility in electricity markets.
TL;DR: In this paper, the authors calculate the cost-optimized configuration of variable electrical power generators using weather data with high spatial (13-km) and temporal (60-min) resolution over the contiguous US.
Abstract: Carbon dioxide emissions from electricity generation are a major cause of anthropogenic climate change. The deployment of wind and solar power reduces these emissions, but is subject to the variability of the weather. In the present study, we calculate the cost-optimized configuration of variable electrical power generators using weather data with high spatial (13-km) and temporal (60-min) resolution over the contiguous US. Our results show that when using future anticipated costs for wind and solar, carbon dioxide emissions from the US electricity sector can be reduced by up to 80% relative to 1990 levels, without an increase in the levelized cost of electricity. The reductions are possible with current technologies and without electrical storage. Wind and solar power increase their share of electricity production as the system grows to encompass large-scale weather patterns. This reduction in carbon emissions is achieved by moving away from a regionally divided electricity sector to a national system enabled by high-voltage direct-current transmission. Combined energy and weather modelling suggests that CO2 emissions from the US electricity sector can be reduced by up to 80% using existing technologies, and without increasing the cost of electricity.
TL;DR: In this paper, the authors study changes in the aggregate carbon intensity (ACI) for electricity at the global and country levels and reveal several challenges in reducing global CO2 emissions from the electricity production sector although the reduction potential for the sector is known to be great.
TL;DR: In this paper, the authors defined, classified and discussed the latest flexibility treatments in power system based on a comprehensive literature study, and specifically considered the abilities, barriers, and inherent attributes of power systems' potential to deal with high integration of Variable Generations (VGs) in future flexible power systems.
Abstract: Renewables are going to make our planet a better place to live. These clean resources of energy can bring a handful of advantages to the future electricity industries. Nevertheless, the large percentage of renewables integration can cause some operational issues, in power systems, which are needed to be identified and coped with. This paper defines, classifies and discusses the latest flexibility treatments in power system based on a comprehensive literature study. The current work specifically considers the abilities, barriers, and inherent attributes of power systems’ potential to deal with high integration of Variable Generations (VGs) in future flexible power systems.
TL;DR: In this article, the authors focused on how the electric vehicle emissions vary when compared to internal combustion engine vehicles, depending on the electric power plant fleet and the efficiency during the use-phase.
TL;DR: In this paper, a wide spectrum of energy policies regarding the electrochemical, mechanical, and thermal energy storage technologies are discussed, while the future orientations of these technologies are outlined.
Abstract: Electricity plays a dominant role to the citizens׳ well-being and the social prosperity of the developed economies. Electricity perspectives have attracted the research interest of the scientific community during the last two decades due to its determining impact upon transportation modes (electric-based mobility: electric vehicles–EVs, hybrid cars, and electric drive-trains), energy-consumed household tasks (Smart House and Smart Grid concepts), working environment, and leisure activities. Electricity generation is mainly determined by the following features: on-grid (mainland) and off-grid (including exploitation of renewables in remote areas) production, peak (during the day) and off-peak (during the night) daytimes of energy production and consumption, efficient and reliable power supply, capability and reliability of energy storage technologies, energy market potential in the future. This study further explores the following issues: which technologies will be most needed, in which technologies there is room for further development, which policy considerations will influence rollout and penetration, and what implementation problems may be expected. Finally, this study addresses a wide spectrum of energy policies regarding the electrochemical, mechanical, and thermal energy storage technologies. In parallel, the study discussed global regulatory regimes of the post-2015 development agenda of Rio20+ United Nations Conference on Sustainable Development that should be adapted to electricity generation under the political initiatives of “Sustainable Development Goals” (SDGs) and “Millennium Development Goals” (MDGs). Finally, the key-issues of research, operation, applicability, and pricing trend of energy storage technologies are addressed while the future orientations of these technologies are outlined.
TL;DR: In this paper, the short and long-run effects of information and communication technology (ICT) use and economic growth on electricity consumption using OECD panel data for the period of 1985-2012 were investigated.
TL;DR: In this article, the role of hourly economic demand response in the optimization of the stochastic day-ahead scheduling of electric power systems with natural gas transmission constraints was studied, and the authors demonstrated that electricity demand response would offer a less volatile hourly load profile and locational marginal prices, and less dependence on natural gas constraints for the optimal operation of power systems.
Abstract: This paper studies the role of hourly economic demand response in the optimization of the stochastic day-ahead scheduling of electric power systems with natural gas transmission constraints. The proposed coordinated stochastic model (referred to as EGTran) considers random outages of generating units and transmission lines, and random errors in forecasting the day-ahead hourly loads. The Monte Carlo simulation is applied to create multiple scenarios for representing the coordinated system uncertainties. The nonlinear natural gas network constraints are linearized and incorporated into the stochastic model. Numerical results demonstrate the benefits of applying the hourly economic demand response for enhancing the scheduling coordination of natural gas and electricity networks. It is demonstrated that electricity demand response would offer a less volatile hourly load profile and locational marginal prices, and less dependence on natural gas constraints for the optimal operation of electric power systems. The proposed model for EGTran could be applied by grid operators for the hourly commitment and dispatch of power system units.
TL;DR: In this article, the effect of increasing battery size and driving range to the environmental impact of electric vehicles (EVs) has been investigated, where the authors compile cradle-to-grave inventories for EVs in four size segments to determine their climate change potential.
Abstract: The primary goal of this study is to investigate the effect of increasing battery size and driving range to the environmental impact of electric vehicles (EVs). To this end, we compile cradle-to-grave inventories for EVs in four size segments to determine their climate change potential. A second objective is to compare the lifecycle emissions of EVs to those of conventional vehicles. For this purpose, we collect lifecycle emissions for conventional vehicles reported by automobile manufacturers. The lifecycle greenhouse gas emissions are calculated per vehicle and over a total driving range of 180 000 km using the average European electricity mix. Process-based attributional LCA and the ReCiPe characterisation method are used to estimate the climate change potential from the hierarchical perspective. The differently sized EVs are compared to one another to find the effect of increasing the size and range of EVs. We also point out the sources of differences in lifecycle emissions between conventional- and electric vehicles. Furthermore, a sensitivity analysis assesses the change in lifecycle emissions when electricity with various energy sources power the EVs. The sensitivity analysis also examines how the use phase electricity sources influences the size and range effect.
TL;DR: In this paper, a DBN made up from multiple layers of restricted Boltzmann machines is used for electricity load forecasting in the Macedonian electric power system, and the results show that the applied model is not only suitable for hourly electricity load prediction of the Macedonia electric power systems, but also provides superior results than the ones obtained using traditional methods.
TL;DR: In this article, a methodology based on artificial neuronal networks (ANN) is presented to forecast electricity prices, which leads to well-fitting electricity price forecasts, whereas forecast errors are as low as or even lower than other forecast models for electricity prices known from the literature.
TL;DR: In this paper, the feasibility of running a hybrid diesel/PV/Wind/battery power generation system for a non-residential large electricity consumer in the south of Iran was investigated.
TL;DR: In this article, a quasi-steady multi-energy flow model is proposed and calculated, with a heating network node type transformation technique developed, and the results present the interactions between the electricity and the system.
TL;DR: In this paper, the implications of electrifying the production of basic materials in the European Union is explored in a what-if thought-experiment, and it is shown that a complete shift of the energy demand as well as the resource base of feedstocks to electricity would result in an electricity demand of 1713TW-hours about 1200 TW-hours of which would be for producing hydrogen and hydrocarbons for feedstock and energy purposes.
TL;DR: Intermittency significantly impacts the economic value of large-scale solar energy, adding $46.00 per megawatt hour to social costs.
Abstract: A key problem with solar energy is intermittency: solar generators produce only when the sun is shining, adding to social costs and requiring electricity system operators to reoptimize key decisions. We develop a method to quantify the economic value of large-scale renewable energy. We estimate the model for southeastern Arizona. Not accounting for offset carbon dioxide, we find social costs of $138.40 per megawatt hour for 20 percent solar generation, of which unforecastable intermittency accounts for $6.10 and intermittency overall for $46.00. With solar installation costs of $1.52 per watt and carbon dioxide social costs of $39.00 per ton, 20 percent solar would be welfare neutral.
TL;DR: In this paper, the authors studied cost-optimal and rule-based control for buildings with PV, employing a heat pump, thermal and electrical storage and shiftable loads as flexibility sources to increase the value of PV for the prosumer.
TL;DR: In this article, the economic value of heat pumps and electric boilers is assessed by simulating their day-to-day market performance using a novel operational strategy based on two-stage stochastic programming.
TL;DR: In this article, the optimal design and operation of integrated wind-hydrogen-electricity networks using the general mixed integer linear programming energy network model, STeMES, is presented.
TL;DR: In this paper, the authors developed a model to predict how much wind energy can be generated and integrated into China's electricity mix, and estimate a potential production of 2.6 PWh per year in 2030.
Abstract: Expanding the use of wind energy for electricity generation forms an integral part of China’s efforts to address degraded air quality and climate change. However, the integration of wind energy into China’s coal-heavy electricity system presents significant challenges owing to wind’s variability and the grid’s system-wide inflexibilities. Here we develop a model to predict how much wind energy can be generated and integrated into China’s electricity mix, and estimate a potential production of 2.6 petawatt-hours (PWh) per year in 2030. Although this represents 26% of total projected electricity demand, it is only 10% of the total estimated physical potential of wind resources in the country. Increasing the operational flexibility of China’s coal fleet would allow wind to deliver nearly three-quarters of China’s target of producing 20% of primary energy from non-fossil sources by 2030. Increasing generation of clean energy from wind resources will help China meet its 2030 energy-mix target and combat climate change. Davidson et al. model the wind energy generation potential of China, estimating a grid-integrated potential of 2.6 PWh per year in 2030.
TL;DR: In this paper, a survey was designed to obtain some factors linked to consumers' profile which are later crossed with their expectations to buy an electric vehicle, and a logistic regression analysis was conducted to explain the willingness to buy electric cars by using the information of 1245 Spanish respondents.
TL;DR: In this article, the authors defined the 2°C capital stock as the global stock of infrastructure which, if operated to the end of its normal economic life, implies global mean temperature increases of 2 °C or more (with 50% probability).
TL;DR: In this article, the evolution of the use of electricity in marine vessels is presented and discussed in an historical perspective, and the impact of new conversion technologies like power electronics, battery energy storage, and dc power system on overall energy efficiency, power quality, and emission level is discussed thoroughly.
Abstract: The evolution of the use of electricity in marine vessels is presented and discussed in this paper in an historical perspective. The historical account starts with its first commercial use in the form of light bulbs on the SS Columbia in 1880 for illumination, going forward through use in hybrid propulsion systems with steam turbines and diesel engines and then transitioning to the present with the first fully electric marine vessel based entirely on the use of batteries in 2015. Electricity use is discussed not only in the light of its many benefits but also of the challenges introduced after the emergence of the marine vessel electrical power system. The impact of new conversion technologies like power electronics, battery energy storage, and the dc power system on overall energy efficiency, power quality, and emission level is discussed thoroughly. This paper guides the reader through this development, the present and future challenges by calling attention to the future research needs, and the need to revisit standards that relate to power quality, safety, integrity, and stability of the marine vessel power system, which are strongly impacted by the way electricity is used in the marine vessel.