A Spatiotemporal analysis of photovoltaic electricity storage potential in electric vehicles

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Renewable energy communities, where citizens, businesses, and institutions produce, consume, store, and share energy, are increasingly pivotal in energy markets. The use of shared community batteries introduces the challenge of adapting control strategies ...

Reversible Solid Oxide electrolyser (rSOE) is a promising solution for long-duration energy storage due to its exceptional features such as inherent reversibility, co-electrolysis capability in electrolysis mode, high efficiency, adaptability to multiple f ...

Ultraviolet-induced degradation (UV-ID) of various PV cell types was analyzed under optical UV filters with different cutoff wavelengths. Cell types studied included interdigitated back contact (IBC), passivated emitter and rear totally diffused (PERT), an ...

This paper proposes a novel integer-mixed probabilistic optimal power flow (IM-POPF) strategy for frequency regulation in islanded microgrids under uncertain operating conditions. Existing load-shedding approaches face critical limitations: continuous fram ...

In the context of growing concerns about power disruptions, grid reliability and the need for decarbonization, this study evaluates a broad range of clean backup power systems (BPSs) to replace traditional emergency diesel generators. A scenario-based stoc ...

High-power tunable lasers are intensely pursued due to their vast application potential such as in telecom, ranging, and molecular sensing. Integrated photonics, however, is usually considered not suitable for high-power applications mainly due to its smal ...

FDTD/FEM simulations, strengthened by machine learning, achieve 95.44% optical absorption efficiency in TiO 2 /TiN plasmonic nanocavities for solar energy harvesting. ...

Sorbent are the workhorses of most contemporary separation processes. Crystalline sorbents boast descript structures that facilitate in silico study. Their diversity is matched by their varied applications. At the forefront of their currently researched ap ...

CO2 conversion plays a vital role in addressing climate change by cutting greenhouse gas emissions and promoting a circular carbon economy. Rather than releasing carbon dioxide into the atmosphere, carbon dioxide recycling technologies allows transformatio ...

This work presents a CMOS-compatible multilayer platform integrating energy storage and tunable varactor functionality within a compact system. By co-integrating antiferroelectric (AFE) and dielectric (DE) layers, the design achieves tunability up to 28%, ...

Hydropower tailrace channels are unique and attractive locations for hydrokinetic energy harvesting due to fast currents, scheduled flow releases, proximity to existing structural and electrical infrastructures, and low risk of additional environmental imp ...

Aluminium is recognized as an essential material for the global energy transition. However, its production is extremely energy-intensive and largely dependent on fossil fuels. The aluminium industry emits more than 1.11 Gt CO2-eq annually. Multiple obstacl ...

Solar photovoltaics (PV) is one of the most competitive renewable energy technologies in order to meet the increasing global energy demand and decrease CO2 emissions by competing effectively with fossil fuels. One of the important applications of PV energy ...

High PV penetration into the electricity grid can lead to issues such as congestion if PV systems are not integrated effectively. Accurate PV power forecasting helps to address this issue. In recent years machine learning approaches have gotten a lot of at ...

This 5th annual "Emerging PV Report" highlights the latest advancements in the performance of emerging photovoltaic (e-PV) devices across various e-PV research areas, as documented in peer-reviewed articles published since August 2023. Updated graphs, tabl ...

This work aims to understand how nanocellulose (NC) processing can modify the key characteristics of NC films to align with the main requirements for high-performance optoelectronics. The performance of these devices relies heavily on the light transmittan ...

Perovskite solar modules (PSMs) show outstanding power conversion efficiencies (PCEs), but long-term operational stability remains problematic. We show that incorporating N,N-dimethylmethyleneiminium chloride into the perovskite precursor solution formed d ...

Layered halide perovskites (LHPs) are emerging semiconductor materials due to their superior environmental stability compared to that of traditional halide perovskites. While LHPs have tunable optoelectronic properties, quantum and dielectric confinement e ...

High-temperature sodium-nickel chloride (Na-NiCl2) batteries offer a competitive solution for stationary energy storage due to their long-term stability, high energy efficiency, and sustainable raw materials. However, scaling up this technology faces chall ...

The growing maritime industries will be decarbonized by replacing traditional fossil fuel power systems with renewable energy systems. Batteries dominate automobile applications through flexible operation, large-scale production, and renewable energy stora ...

A Spatiotemporal analysis of photovoltaic electricity storage potential in electric vehicles

Chat with Graph Search

Self-dispatching a renewable energy community by means of battery energy storage systems

Reversible solid oxide electrolyser for energy storage: levelized cost of storage estimation

Enhancing lifetime, forecasting, and economic benefits of photovoltaic technologies undergoing UV-induced degradation with optical filtering

Probabilistic Load-Shedding Strategy for Frequency Regulation in Microgrids Under Uncertainties

Techno-Economic Analysis of Decarbonized Backup Power Systems Using Scenario-Based Stochastic Optimization

Sub-2W tunable laser based on silicon photonics power amplifier

Machine-learning-empowered FDTD/FEM simulations for predictive solar energy absorption in plasmonic metamaterial nanocavity arrays

Harnessing modular approaches in the study of crystalline sorbents

Low-Power Tunable Micro-Plasma Devices for Efficient and Scalable CO2 Conversion

CMOS-Compatible Antiferroelectric-Dielectric Capacitors for Multifunctional Energy Storage and Tunable Electronics

Hydrokinetic energy applications within hydropower tailrace channels: Implications, siting, and U.S. potential

Decarbonizing the aluminium industry: A comprehensive review of pathways and process integration perspectives

Reliability and Long-term Performance of Building Integrated Photovoltaic (BIPV) Modules

Model Tuning and Performance Evaluation in Machine Learning Models for PV Power Forecasting: Case Study of a BIPV System in Switzerland

Device Performance of Emerging Photovoltaic Materials (Version 5)

Processing factors affecting roughness, optical and mechanical properties of nanocellulose films for optoelectronics

Cation reactivity inhibits perovskite degradation in efficient and stable solar modules

Decoupling Interlayer Spacing and Cation Dipole on Exciton Binding Energy in Layered Halide Perovskites

Scaling of Planar Sodium-Nickel Chloride Battery Cells to 90 cm2 Active Area

Applications - Transportation Applications | Ships - Fuel Cells and Batteries