scholarly journals Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6271
Author(s):  
Regina Lamedica ◽  
Alessandro Ruvio ◽  
Laura Palagi ◽  
Nicola Mortelliti
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Net Present Value ◽  
Storage Systems ◽  
Storage System ◽  
Economic Benefits ◽  
Particle Swarm Algorithm ◽  
Railway Network ◽  
Economic Point ◽  
Railway Line

The paper proposes an optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines. The scope is to maximize the economic benefits. The problem of the optimal siting and sizing of an ESS is addressed and solved by a software developed by the authors using the particle swarm algorithm, whose objective function is based on the net present value (NPV). The railway line, using a standard working day timetable, has been simulated in order to estimate the power flow between the trains finding the siting and sizing of electrical substations and storage systems suitable for the railway network. Numerical simulations have been performed to test the methodology by assuming a new-generation of high-performance trains on a 3 kV direct current (d.c.) railway line. The solution found represents the best choice from an economic point of view and which allows less energy to be taken from the primary network.

scholarly journals Use of pumped hydro energy storage to complement wind energy: A case study

2020 ◽  
Vol 24 (2 Part A) ◽  
pp. 777-785 ◽  
Author(s):  
Faruk Kose ◽  
Mehmet Kaya ◽  
Muammer Ozgoren
Keyword(s):  
Energy Storage ◽  
Power Plants ◽  
Net Present Value ◽  
Storage Systems ◽  
Storage System ◽  
Real Data ◽  
Hydro Power ◽  
Firm Power ◽  
Bulk Energy ◽  
Storage Methods

The dependency of RES on the weather and climate increased the interest on bulk energy storage methods to supply firm power. Pumped-hydro energy storage systems are a step ahead among other bulk energy storage methods because these are more efficient and they have higher storage capacities. The present study focuses on the use of grid connected wind-pumped hydro power station supply energy. A hybrid wind-pumped hydro storage system was designed and simulated using real data, and economic analysis was performed by calculating the basic pay-back period, the net present value and the internal rate of return. According to the results, it is found that the hybrid system is actively used and a part of the electricity is supplied from the wind-pumped hydro system. In addition, it was obtained that the pumped hydro storage systems are very suitable to be used together with wind power plants.

Modeling an Energy Storage System Based on a Hybrid Renewable Energy System in Stand-alone Applications

2017 ◽  
Vol 68 (11) ◽  
pp. 2641-2645
Author(s):  
Alexandru Ciocan ◽  
Ovidiu Mihai Balan ◽  
Mihaela Ramona Buga ◽  
Tudor Prisecaru ◽  
Mohand Tazerout
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Hybrid Renewable Energy System

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.

A facile new modified method for the preparation of a new cerium-doped lanthanium cuperate perovskite energy storage system using nanotechnology

2021 ◽  
Author(s):  
Mervette El Batouti ◽  
H. A. Fetouh
Keyword(s):  
Solar Cells ◽  
Energy Storage ◽  
Dielectric Loss ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Ponds ◽  
Modified Method ◽  
Ferroelectric Perovskite

New ferroelectric perovskite sample: excellent dielectric, negligible dielectric loss for energy storage systems such as solar cells, solar ponds, and thermal collectors has been prepared at low cost using nanotechnology.

scholarly journals Emissions Effects of Energy Storage for Frequency Regulation: Comparing Battery and Flywheel Storage to Natural Gas

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 549
Author(s):  
Eric Pareis ◽  
Eric Hittinger
Keyword(s):  
Energy Storage ◽  
Natural Gas ◽  
Fossil Fuels ◽  
Storage Systems ◽  
Storage System ◽  
The United States ◽  
Frequency Regulation ◽  
So2 Emissions ◽  
Gas Generation ◽  
Electrical Generation

With an increase in renewable energy generation in the United States, there is a growing need for more frequency regulation to ensure the stability of the electric grid. Fast ramping natural gas plants are often used for frequency regulation, but this creates emissions associated with the burning of fossil fuels. Energy storage systems (ESSs), such as batteries and flywheels, provide an alternative frequency regulation service. However, the efficiency losses of charging and discharging a storage system cause additional electrical generation requirements and associated emissions. There is not a good understanding of these indirect emissions from charging and discharging ESSs in the literature, with most sources stating that ESSs for frequency regulation have lower emissions, without quantification of these emissions. We created a model to estimate three types of emissions (CO2, NOX, and SO2) from ESSs providing frequency regulation, and compare them to emissions from a natural gas plant providing the same service. When the natural gas plant is credited for the generated electricity, storage systems have 33% to 68% lower CO2 emissions than the gas turbine, depending on the US eGRID subregion, but higher NOX and SO2 emissions. However, different plausible assumptions about the framing of the analysis can make ESSs a worse choice so the true difference depends on the nature of the substitution between storage and natural gas generation.

Ultrahigh energy storage and ultrafast ion diffusion in borophene-based anodes for rechargeable metal ion batteries

2017 ◽  
Vol 5 (5) ◽  
pp. 2328-2338 ◽  
Author(s):  
Dewei Rao ◽  
Lingyan Zhang ◽  
Zhaoshun Meng ◽  
Xirui Zhang ◽  
Yunhui Wang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Metal Ion ◽  
High Performance ◽  
Storage Systems ◽  
Ultrahigh Energy ◽  
Ion Diffusion ◽  
Energy Storage Systems ◽  
Increasing Demand

Since the turn of the new century, the increasing demand for high-performance energy storage systems has generated considerable interest in rechargeable ion batteries.

scholarly journals Software Tools for Energy Storage Valuation and Design

2021 ◽  
Author(s):  
Tu A. Nguyen ◽  
Raymond H. Byrne
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
System Simulation ◽  
Energy Systems ◽  
Software Tools ◽  
Economic Benefits ◽  
Design Tools ◽  
Power System Simulation ◽  
Analysis Tools ◽  
Analytical Tools

Abstract Purpose of Review As the application space for energy storage systems (ESS) grows, it is crucial to valuate the technical and economic benefits of ESS deployments. Since there are many analytical tools in this space, this paper provides a review of these tools to help the audience find the proper tools for their energy storage analyses. Recent Findings There are many software tools for valuating ESS. These tools can be classified into two groups: (1) power system simulation and planning tools for analyzing the technical contributions of ESSs, and (2) techno-economic analysis tools for valuating the economic benefits of ESS deployment and specifying the optimal design of energy systems that include ESSs. While many of the tools, developed by the national laboratories, are free to use, the commercial tools are also of great importance in meeting the customers’ specific needs. Summary This paper provides a review of software tools for ESS valuation and design. A review of analysis tools for evaluating the technical impacts of energy storage deployments is also provided, as well as a discussion of development trends for valuation and design tools.

Evaluation of Commercial Building Clusters With Energy Storage to Reduce Reliance on Electrical Utility Grids

2021 ◽  
Author(s):  
Gregory Kaminski ◽  
Philip Odonkor
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Energy Resource ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Commercial Building ◽  
Distributed Energy ◽  
Distributed Resources ◽  
And Storage

Abstract The decreasing cost of implementation and increasing regulatory incentive to lower energy use have led to an increased adoption of distributed energy resources in recent years. This increased adoption has been further fueled by a surge in energy consciousness and the expansion of energy-saving products and technologies. To lower reliance on the electrical grid and fully realize the benefits of distributed energy resources, many consumers have also elected to use battery systems to store generated energy. For owners of multiple buildings, or multiple owners willing to share the operational cost, building clusters may be formed to more effectively take advantage of these distributed resources and storage systems. The implementation of these systems in existing buildings introduces the question of what makes a “good” building cluster. Furthermore, the scalable nature of distributed energy sources and storage systems create countless possibilities for system configuration. Through comparison of unique two-building clusters from a stock of five buildings with a given distributed energy resource (in this case, a solar photovoltaic panel array) and energy storage system, we develop a fundamental understanding of the underlying factors that allow building clusters to be less reliant on the utility grid and make better use of energy generation and storage systems.

scholarly journals A CVaR-Robust Risk Aversion Scheduling Model for Virtual Power Plants Connected with Wind-Photovoltaic-Hydropower-Energy Storage Systems, Conventional Gas Turbines and Incentive-Based Demand Responses

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2903 ◽  
Author(s):  
Liwei Ju ◽  
Peng Li ◽  
Qinliang Tan ◽  
Zhongfu Tan ◽  
GejiriFu De
Keyword(s):  
Energy Storage ◽  
Risk Aversion ◽  
Decision Maker ◽  
Gas Turbines ◽  
Power Plants ◽  
Storage Systems ◽  
Economic Benefits ◽  
Virtual Power ◽  
Energy Storage Systems ◽  
Scheduling Model

To make full use of distributed energy resources to meet load demand, this study aggregated wind power plants (WPPs), photovoltaic power generation (PV), small hydropower stations (SHSs), energy storage systems (ESSs), conventional gas turbines (CGTs) and incentive-based demand responses (IBDRs) into a virtual power plant (VPP) with price-based demand response (PBDR). Firstly, a basic scheduling model for the VPP was proposed in this study with the objective of the maximum operation revenue. Secondly, a risk aversion model for the VPP was constructed based on the conditional value at risk (CVaR) method and robust optimization theory considering the operating risk from WPP and PV. Thirdly, a solution methodology was constructed and three cases were considered for comparative analyses. Finally, an independent micro-grid on an industrial park in East China was utilized for an example analysis. The results show the following: (1) the proposed risk aversion scheduling model could cope with the uncertainty risk via a reasonable confidence degree β and robust coefficient Γ. When Γ ≤ 0.85 or Γ ≥ 0.95, a small uncertainty brought great risk, indicating that the risk attitude of the decision maker will affect the scheduling scheme of the VPP, and the decision maker belongs to the risk extreme aversion type. When Γ ∈ (0.85, 0.95), the decision-making scheme was in a stable state, the growth of β lead to the increase of CVaR, but the magnitude was not large. When the prediction error e was higher, the value of CVaR increased more when Γ increased by the same magnitude, which indicates that a lower prediction accuracy will amplify the uncertainty risk. (2) when the capacity ratio of (WPP, PV): ESS was higher than 1.5:1 and the peak-to-valley price gap was higher than 3:1, the values of revenue, VaR, and CVaR changed slower, indicating that both ESS and PBDR can improve the operating revenue, but the capacity scale of ESS and the peak-valley price gap need to be set properly, considering both economic benefits and operating risks. Therefore, the proposed risk aversion model could maximize the utilization of clean energy to obtain higher economic benefits while rationally controlling risks and provide reliable decision support for developing optimal operation plans for the VPP.

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

2016 ◽  
pp. 25-45 ◽  
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

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