Publications related to Battery storage power station

Study of flexible operating conditions in variable-speed hydraulic turbines : advanced models and experimental validation

The global imperative to transition from fossil fuel-based energy sources to renewable alternatives has become increasingly urgent in the pursuit of sustainable and renewable power generation. This paradigm shift necessitates innovative approaches to manag ...

EPFL2024

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

Francesco Gerini

The European Union's Green Deal aims for a 55% reduction in greenhouse gas emissions by 2030. To reach this goal, a massive integration of Renewable Energy Sources (RES) into the power grid is necessary. As RES become a large part of the electricity genera ...

EPFL2024

Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties

Plouton Grammatikos

The thesis explores the issue of fairness in the real-time (RT) control of battery energy storage systems (BESSs) hosted in active distribution networks (ADNs) in the presence of uncertainties by proposing and experimentally validating appropriate control ...

EPFL2024

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Tianshu Yang, Xue Zhang

In this paper, we propose an analytical stochastic dynamic programming (SDP) algorithm to address the optimal management problem of price-maker community energy storage. As a price-maker, energy storage smooths price differences, thus decreasing energy arb ...

China Electric Power Research Inst2024

Flexible free-standing Fe-CoP-NAs/CC nanoarrays for high-performance full lithium-ion batteries

Kangning Zhao, Chen Huang

In this study, a flexible, free-standing Fe -doped CoP nanoarrays electrode for superior lithium -ion storage has been successfully fabricated. The electrode combines the advantages of a Fe -doping and a flexible carbon cloth (CC) support, resulting in a h ...

Academic Press Inc Elsevier Science2024

Energy-Efficient Particle Accelerators for Research

Mike Seidel

Particle accelerators are the drivers for large-scale research infrastructures for particle physics but also for many branches of condensed matter research. The types of accelerator-driven research infrastructures include particle colliders, neutron, muon ...

2024

Optimal Depth of Discharge for Electric Batteries with Robust Capacity-Shrinkage Estimator

Thomas Alois Weber

A user’s benefit from the energy stored in a battery over its lifetime depends on the time-varying characteristics of the battery, which are in turn affected by the chosen usage behavior. Both the capacity shrinkage and the number of lifetime cycles are st ...

2024

Robust Piperidinium-Enriched Polystyrene Ionomers for Anion Exchange Membrane Fuel Cells and Water Electrolyzers

Xile Hu, Fang Song, Nanjun Chen

Durable and efficient anion exchange polyelectrolytes (AEPs) are crucial for the long-term operation of cost-effective anion exchange membrane fuel cells (AEMFCs) and water electrolyzers (AEMWEs). Here, we present a new class of ?-amine-piperidinium-functi ...

AMER CHEMICAL SOC2023

Digital One-Shot Charge-balancing Method for Implantable Current-Mode Electrical Stimulation

Alexandre Schmid, Keyvan Farhang Razi

A low-power digital charge balancing system, which ensures the safe operation of constant-current biphasic stimulation is presented. The concept of the proposed charge-balancing technique is to utilize a hybrid method consisting of anodic pulse modulation ...

IEEE2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

Electrochemical batteries are ubiquitous devices in our society. When employed in mission-critical applications, the ability to precisely predict their end-of-discharge under highly variable operating conditions is of paramount importance in order to suppo ...

ELSEVIER SCI LTD2023

Optimal Design Operation Strategies of a Hyperloop Transportation System

Denis Tudor

In the last decades, transportation demand growth has played a major role in the increase of global CO2 footprint. At the same time, a number of countries have scheduled measurable and substantial cutback of CO2 emissions by 2050. As the transportation sec ...

EPFL2023

Experimental Validation of Model-less Robust Voltage Control using Measurement-based Estimated Voltage Sensitivity Coefficients

Mario Paolone, Rahul Kumar Gupta

Increasing adoption of smart meters and phasor measurement units (PMUs) in power distribution networks are enabling the adoption of data-driven/model-less control schemes to mitigate grid issues such as over/under voltages and power-flow congestions. Howev ...

IEEE2023

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Sachin Basil John

In the current era of big data, aggregation queries on high-dimensional datasets are frequently utilized to uncover hidden patterns, trends, and correlations critical for effective business decision-making. Data cubes facilitate such queries by employing p ...

EPFL2023

Design and management of three-dimensional multi-processor systems-on-chip with integrated flow cell arrays

Halima Najibi

Three-Dimensional Multi-Processor Systems-on-Chip (3D MPSoCs) are promising solutions for highly intensive Artificial Intelligence (AI) and Big Data applications. They combine remarkably dense computation capabilities and massive communication bandwidths. ...

EPFL2022

Reliable Dispatch of Active Distribution Networks via a Two-layer Grid-Aware Model Predictive Control: Theory and Experimental Validation

Mario Paolone, Rahul Kumar Gupta, Antonio Zecchino, Ji Hyun Yi

Dispatching active distribution networks (ADNs) is an energy-intensive application that, if implemented via battery-energy storage systems (BESSs), can require a large capacity of these assets in order to fully balance the uncertainties caused by the stoch ...

2022

High-dimensional Data Cubes

Christoph Koch, Sachin Basil John

This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can ...

2022

Experimental and modeling-based analysis of reaction pathways on catalysts for natural gas engines under periodic lean/rich oscillations

Oliver Kröcher, Davide Ferri, Moyu Wang

Methane (CH4) has the prospective of becoming one of the major energy carriers for heavy-duty mobility, but its catalytic abatement remains a challenge. CH4 abatement reaction pathways were analyzed using targeted periodic lean/rich oscillations, which res ...

ELSEVIER SCIENCE SA2022

High-dimensional Data Cubes

Christoph Koch, Sachin Basil John

This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can ...

ASSOC COMPUTING MACHINERY2022

Bronze-Phase TiO2 as Anode Materials in Lithium and Sodium-Ion Batteries

Xile Hu, Xiaoyan Wang

Titanium dioxide of bronze phase (TiO2(B)) has attracted considerable attention as a promising alternative lithium/sodium-ion battery anode due to its excellent operation safety, good reversible capacity, and environmental friendliness. However, several in ...

WILEY-V C H VERLAG GMBH2022

Electronic synergy to boost the performance of NiCoP-NWs@FeCoP-NSs anodes for flexible lithium-ion batteries

Kangning Zhao, Minmin Liu

Research and development of flexible lithium-ion batteries (LIBs) with high energy density and long cycle life for portable and wearable electronic devices has been a cutting-edge effort in recent years. In this paper, a novel flexible self-standing anode ...

ROYAL SOC CHEMISTRY2022