Tootfinder

On Website Technicals (2019-01) - Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited. - https://www.earth.org.uk/note-on-site-technicals-20.html

On Website Technicals (2019-01)
Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited.

We have to talk about burning trash🗑️🔥
Waste incinerators / waste-to-energy plants that generate electricity and heat are an enormous and often underestimated source of CO2 🏭💨🌎. For example, in Germany, a country where waste-to-energy plants are common, their emissions are higher than those of cement.
Waste incinerator operators will often claim that half of their emissions don't count 🌿 or even that they already have net-negative emissions 🌎. I disagree with both 🧵

Just Stop Burning Trash
Waste-to-energy plants are a massive source of carbon dioxide emissions. Yet, it is not obvious what the best solution for high-emitting incinerators would be. Should incinerators be equiped with carbon capture? How much can recycling rates be improved, and what role should chemical recycling play? And could landfills be a carbon storage solution?

Linear and Second-order-cone Valid Inequalities for Problems with Storage
Juan M. Morales
https://arxiv.org/abs/2506.21470 https://ar…

Linear and Second-order-cone Valid Inequalities for Problems with Storage
Batteries are playing an increasingly central role as distributed energy resources in the shift toward power systems dominated by renewable energy sources. However, existing battery models must invariably rely on complementarity constraints to prevent simultaneous charging and discharging, rendering models of a disjunctive nature and NP-hard. In this paper, we analyze the disjunctive structure of the battery's feasible operational set and uncover a submodularity property in its extreme power tr…

Yet More Enphase AC Battery Home Storage (2025-04-17) - And then there were five! #storage #grid #selfConsumption -

Yet More Enphase AC Battery Home Storage (2025-04-17)
And then there were five! #storage #grid #selfConsumption

Joint Scheduling of DER under Demand Charges: Structure and Approximation
Ruixiao Yang, Gulai Shen, Ahmed S. Alahmed, Chuchu Fan
https://arxiv.org/abs/2506.21510

Joint Scheduling of DER under Demand Charges: Structure and Approximation
We study the joint scheduling of behind-the-meter distributed energy resources (DERs), including flexible loads, renewable generation, and battery energy storage systems, under net energy metering frameworks with demand charges. The problem is formulated as a stochastic dynamic program aimed at maximizing expected operational surplus while accounting for renewable generation uncertainty. We analytically characterize the structure of the optimal control policy and show that it admits a threshold…

Community Detection in Energy Networks based on Energy Self-Sufficiency and Dynamic Flexibility Activation
Philipp Danner, Hermann de Meer
https://arxiv.org/abs/2506.19412

Community Detection in Energy Networks based on Energy Self-Sufficiency and Dynamic Flexibility Activation
The global energy transition towards distributed, smaller-scale resources, such as decentralized generation and flexible assets like storage and shiftable loads, demands novel control structures aligned with the emerging network architectures. These architectures consist of interconnected, self-contained clusters, commonly called microgrids or energy communities. These clusters aim to optimize collective self-sufficiency by prioritizing local energy use or operating independently during wide-ar…

Bridding OT and PaaS in Edge-to-Cloud Continuum
Carlos J Barrios (LIG, UIS, CITI), Yves Denneulin (LIG, Grenoble INP)
https://arxiv.org/abs/2506.21072 http…

Bridding OT and PaaS in Edge-to-Cloud Continuum
The Operational Technology Platform as a Service (OTPaaS) initiative provides a structured framework for the efficient management and storage of data. It ensures excellent response times while improving security, reliability, data and technology sovereignty, robustness, and energy efficiency, which are crucial for industrial transformation and data sovereignty. This paper illustrates successful deployment, adaptable application management, and various integration components catering to Edge and…

Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest
Mohammad Alkhawatrah, Yu Gong, Chong Huang, Gaojie Chen
https://arxiv.org/abs/2506.15839

Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest
This paper proposes a novel relay selection scheme for buffer-aided wireless networks with relays equipped with both data buffers and energy storage. While buffer-aided relay networks have demonstrated significantly improved performance, energy harvesting has become an attractive solution in many wireless systems, garnering considerable attention when applied to buffer-aided relay networks. It is known that state-dependent selection rules must be used to achieve full diversity order in buffer-a…

Decarbonizing Mongolia's Energy Sector: A Techno-Economic Analysis of Hybrid Energy Solutions
Otgonpurev Nergui, Dhammawit Paisiripas, Munkhsaikhan Jargalsaikhan
https://arxiv.org/abs/2506.15749

Decarbonizing Mongolia's Energy Sector: A Techno-Economic Analysis of Hybrid Energy Solutions
To achieve carbon neutrality and enhance energy security, Mongolia is exploring a transition toward hybrid energy solutions integrating small modular reactors (SMRs) and renewable energy sources. This study assesses the feasibility of a grid-connected hybrid energy system that combines coal, solar photovoltaic (PV), wind turbines, battery energy storage systems (BESS), and SMRs to reduce greenhouse gas emissions and improve energy reliability.

On Website Technicals (2019-01) - Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited. - https://www.earth.org.uk/note-on-site-technicals-20.html

On Website Technicals (2019-01)
Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited.

Peer-to-Peer Energy Markets With Uniform Pricing: A Dynamic Operating Envelope Approach
Zeinab Salehi, Yijun Chen, Ian R. Petersen, Guodong Shi, Duncan S. Callaway, Elizabeth L. Ratnam
https://arxiv.org/abs/2506.19328

Peer-to-Peer Energy Markets With Uniform Pricing: A Dynamic Operating Envelope Approach
The recent widespread adoption of rooftop solar backed by battery storage is enabling energy customers to both produce and consume electricity (i.e., prosumers of electricity). To facilitate prosumer participation in the electric grid, new market mechanisms are required. In this paper, we design peer-to-peer energy markets where prosumers trade their excess energy with peers to gain profit while satisfying the overall balance in electricity supply and demand. We first consider a market structur…

On Website Technicals (2019-01) - Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited. - https://www.earth.org.uk/note-on-site-technicals-20.html

On Website Technicals (2019-01)
Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited.

Carbon Nitride: Physical properties and Applications
Shilpi Kumari, Soubhagyam sharma, Manisha Kumari, Manish Kumar Singh, Rakesh K. Prasad, Kwang-geol Lee, Dilip K. Singh
https://arxiv.org/abs/2506.20140

Carbon Nitride: Physical properties and Applications
Graphitic carbon nitride has emerged as a versatile, metal-free semiconductor with applications spanning over broad range of domains encompassing energy storage, environmental remediation and sensing. Despite significant progress in recent years, there remains a lack of comprehensive discussion on the graphitic carbon nitride's evolving role in next-generation technologies and the engineering strategies needed to overcome existing challenges. In this review article, the critical assessment of t…

Assessing Waste Heat Utilization in Power-to-Heat-to-Power Storage Systems for Cost-Effective Building Electrification
Alicia L\'opez-Ceballos, Alejandro Datas
https://arxiv.org/abs/2506.19403

Assessing Waste Heat Utilization in Power-to-Heat-to-Power Storage Systems for Cost-Effective Building Electrification
Fully electrifying the building sector requires not only the widespread adoption of photovoltaic (PV) self-consumption and heat pumps, but also the integration of cost-effective energy storage solutions. Hybridizing lithium-ion (Li-ion) batteries with power to heat to power storage (PHPS) systems, thermal batteries capable of thermal-to-electric energy conversion, offers a promising and economically viable solution. PHPS systems dispatch combined heat and power by utilizing the low-temperature …

"Rachel Reeves Promised Oil Industry ‘Quid Pro Quo’ Over Windfall Tax in Private Meeting"
#UK #UnitedKigdom #Climate

Rachel Reeves Promised Oil Industry ‘Quid Pro Quo’ Over Windfall Tax in Private Meeting
Chancellor Rachel Reeves told a fossil fuel giant that the industry would receive a “quid pro quo” in return for higher taxes on its windfall profits, DeSmog can reveal. In a meeting with the Norwegian state energy company Equinor on 27 August last year, Reeves suggested that the government’s carbon capture, utilisation and storage (CCUS) […]

I don't usually get involved in the pro/anti nuclear discussion, but whenever people say "we need nuclear because renewables aren't reliable enough", do they usually take into account how much energy storage you can buy for the price of one nuclear power plant?

🇸🇪DSO E.ON Energidistribution (part of 🇩🇪 E.ON SE) is launching a flexibility marketplace with the aim of connecting new production to the grid more quickly. Both sources of #flexibility that increase consumption (🔌⬆️) and sources that curtail production (✂️⬇️) can participate.

How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants
Fangwei Cheng, Qian Luo, Jesse Jenkins
https://arxiv.org/abs/2506.18626

How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants
As the share of variable renewable energy in power systems grows, enhancing the operational flexibility of combined cycle gas turbines with carbon capture and storage (CCGT-CCS) becomes increasingly valuable. This study integrates techno-economic analysis with capacity expansion modeling to quantify the value of improved CCGT-CCS flexibility-such as lower start-up costs, reduced minimum generation, faster ramping, and shorter up/down times-at both plant and system levels. Using the Texas power …

This https://arxiv.org/abs/2501.07121 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

The Value of Battery Energy Storage in the Continuous Intraday Market: Forecast vs. Perfect Foresight Strategies
Grid-scale battery energy storage systems (BESSs) can provide flexibility to the power system and capture shortterm price volatility by shifting energy in time through controlled charging and discharging. The highly volatile European continuous intraday (CID) market allows trading until just a few minutes before physical delivery, offering significant earning potential. However, its high trading frequency poses substantial modeling challenges. Accurate modeling of BESSs trading in the CID marke…

Choosing the Right Battery Model for Data Center Simulations
Paul Kilian, Philipp Wiesner, Odej Kao
https://arxiv.org/abs/2506.17739 https://

Choosing the Right Battery Model for Data Center Simulations
As demand for computing resources continues to rise, the increasing cost of electricity and anticipated regulations on carbon emissions are prompting changes in data center power systems. Many providers are now operating compute nodes in microgrids, close to renewable power generators and energy storage, to maintain full control over the cost and origin of consumed electricity. Recently, new co-simulation testbeds have emerged that integrate domain-specific simulators to support research, devel…

There must be plenty of suitable brownfield sites available and suitable for this.
#BrownfieldSites #GreenSpace #GreenBelt
"Electricity firm wants to build battery energy storage pla…

Electricity firm wants to build battery energy storage plant on green belt site
If approved, 13 battery containers, each more than three metres in height would be installed on land currently used for livestock grazing

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
Alfredo Berm\'udez, Iago Pad\'in
https://arxiv.org/abs/2506.11765

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
With the growing global emphasis on sustainability and the implementation of contemporary environmental policies, the penetration of renewable energy sources has significantly increased --primarily due to their inexhaustible nature. In this context, integrating photovoltaic (PV) modules with energy storage systems offers a means to mitigate the inherent variability of solar energy. This paper proposes an optimal methodology for power management and market bidding strategies tailored to PV power…

MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Melina Soysal, Konstantina Koliogeorgi, Can Firtina, Nika Mansouri Ghiasi, Rakesh Nadig, Haiyu Mayo, Geraldo F. Oliveira, Yu Liang, Klea Zambaku, Mohammad Sadrosadati, Onur Mutlu
https://arxiv.org/abs/2506.10931

MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Raw signal genome analysis (RSGA) has emerged as a promising approach to enable real-time genome analysis by directly analyzing raw electrical signals. However, rapid advancements in sequencing technologies make it increasingly difficult for software-based RSGA to match the throughput of raw signal generation. This paper demonstrates that while hardware acceleration techniques can significantly accelerate RSGA, the high volume of genomic data shifts the performance and energy bottleneck from co…

This https://arxiv.org/abs/2502.12839 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Reservoir-assisted quantum battery charging at finite temperatures
Quantum batteries, as highly efficient energy storage devices, have garnered significant research interest. A key challenge in their development is to maximize the extractable energy (ergotropy) when operating within a finite-temperature reservoir. To address this, we applied quantum feedback control to the charger and investigated the effects of fermionic and bosonic thermal reservoirs on the performance of quantum batteries, including stored energy, ergotropy, and charging efficiency, in an o…

This https://arxiv.org/abs/2505.12538 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

On long-duration storage, weather uncertainty and limited foresight
Long-duration energy storage (LDES) is a key component for fully renewable, sector-coupled energy systems based on wind and solar. While capacity expansion planning has begun to take into account interannual weather variability, it often ignores weather uncertainty and limited foresight in capacity and operational decisions. We build a stochastic capacity expansion model for fully decarbonized energy systems with LDES in Europe accounting for weather uncertainty - isolating the effect of limite…

"UK rooftop solar installations surge, new battery storage record set"
#UK #UnitedKigdom #Solar #SolarPower

UK rooftop solar installations surge, new battery storage record set
Latest MCS data for small-scale renewables reveal a strong month for solar installations up to 50 kW, double-digit growth for battery energy storage installations and a milestone reached despite a muted month for heat pump installations.

A detailed simulation model for fifth generation district heating and cooling networks with seasonal latent storage evaluated on field data
Manuel Kollmar, Adrian B\"urger, Markus Bohlayer, Angelika Altmann-Dieses, Marco Braun, Moritz Diehl
https://arxiv.org/abs/2506.18528

A detailed simulation model for fifth generation district heating and cooling networks with seasonal latent storage evaluated on field data
Fifth generation district heating and cooling (5GDHC) networks accelerate the use of renewable energies in the heating sector and enable flexible, efficient and future-proof heating and cooling supply via a single network. Due to their low temperature level and high integration of renewables, 5GDHC systems pose new challenges for the modeling of these networks in order to simulate and test operational strategies. A particular feature is the use of uninsulated pipes, which allow energy exchange …

Operational Control of a Multi-energy District Heating System: Comparison of Model-Predictive Control and Rule-Based Control
Michael Nikhil Descamps (DTCH), Nicolas Lamaison (DTCH), Mathieu Vallee (DTCH), Roland Baviere (DTCH)
https://arxiv.org/abs/2506.15197

Operational Control of a Multi-energy District Heating System: Comparison of Model-Predictive Control and Rule-Based Control
This study focuses on operational control strategies for a multi-energy District Heating Network (DHN). Two control strategies are investigated and compared: (i) a reactive rule-based control (RBC) and (ii) a model predictive control (MPC). For the purpose of the study a small scale district heating network is modelled using Modelica. The production plant combines a heat pump, a gas boiler and a thermal solar field on the production side with a storage tank for flexibility purposes. On the cons…

Techno-economic optimization of hybrid steam-electric energy systems with excess heat utilization and reserve market participation
Olav Galteland, Jacob Hadler-Jacobsen, Hanne Kauko
https://arxiv.org/abs/2506.14252

Techno-economic optimization of hybrid steam-electric energy systems with excess heat utilization and reserve market participation
This study investigates the economic viability and optimal configuration of a hybrid industrial energy system combining an electrode boiler, steam accumulator, and battery energy storage system (BESS). This study optimizes system operation for a specific configuration to minimize net energy costs, defined as energy costs minus profits from price arbitrage and reserve markets. The optimization uses load shifting, peak shaving, and frequency containment reserve market participation with hourly 20…

Sodium-Decorated P-C3N: A Porous 2D Framework for High-Capacity and Reversible Hydrogen Storage
Jose A. S. Laranjeira, Nicolas F. Martins, Kleuton A. L. Lima, Lingtao Xiao, Xihao Chen, Luiz A. Ribeiro Junior, Julio R. Sambrano
https://arxiv.org/abs/2506.02374

Sodium-Decorated P-C3N: A Porous 2D Framework for High-Capacity and Reversible Hydrogen Storage
The development of reversible hydrogen storage materials has become crucial for enabling carbon-neutral energy systems. Based on this, the present work investigates the hydrogen storage on the sodium-decorated P-C$_3$N (Na@P-C$_3$N), a porous carbon nitride monolayer recently proposed as a stable semiconductor. First-principles calculations reveal that Na atoms preferentially adsorb with an adsorption energy of -4.48~eV, effectively suppressing clusterization effects. Upon decoration, the syste…

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Chi Liu, Zhezhuang Xu, Jiawei Zhou, Yazhou Yuan, Kai Ma, Meng Yuan
https://arxiv.org/abs/2506.06824

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Green buildings (GBs) with renewable energy and building energy management systems (BEMS) enable efficient energy use and support sustainable development. Electric vehicles (EVs), as flexible storage resources, enhance system flexibility when integrated with stationary energy storage systems (ESS) for real-time scheduling. However, differing degradation and operational characteristics of ESS and EVs complicate scheduling strategies. This paper proposes a model-free deep reinforcement learning (…

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Narangerelt Batsoyol, Jonathan Guiang, Diego Davila, Aashay Arora, Philip Chang, Frank W\"urthwein, Steven Swanson
https://arxiv.org/abs/2506.04507

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process is bottlenecked by slow data transfers between storage and compute nodes. To address this, we introduce SkimROOT, a near-data filtering system leveraging Data Processing Units (DPUs) to accelerate LHC data analysis. By performing filtering directly on storage servers and returning only the relevant data, SkimROOT min…

Dense Associative Memory in a Nonlinear Optical Hopfield Neural Network
Khalid Musa, Santosh Kumar, Michael Katidis, Yu-Ping Huang
https://arxiv.org/abs/2506.07849

Dense Associative Memory in a Nonlinear Optical Hopfield Neural Network
Modern Hopfield Neural Networks (HNNs), also known as Dense Associative Memories (DAMs), enhance the performance of simple recurrent neural networks by leveraging the nonlinearities in their energy functions. They have broad applications in combinatorial optimization, high-capacity memory storage, deep learning transformers, and correlated pattern recognition. Thus far, research on DAMs has been primarily theoretical, with implementations limited to CPUs and GPUs. In this work, for the first ti…

A mix of long-duration hydrogen and thermal storage enables large-scale electrified heating in a renewable European energy system
Felix Schmidt, Alexander Roth, Wolf-Peter Schill
https://arxiv.org/abs/2505.21516

A mix of long-duration hydrogen and thermal storage enables large-scale electrified heating in a renewable European energy system
Hydrogen-based long-duration electricity storage (LDES) is a key component of renewable energy systems to deal with seasonality and prolonged periods of low wind and solar energy availability. In this paper, we investigate how electrified heating with heat pumps impacts LDES requirements in a fully renewable European energy system, and which role thermal storage can play. Using a large weather dataset of 78 weather years, we find that electrified heating significantly increases LDES needs, as o…

BESS Participation Planning for Provision of Grid Services in Energy and Regulation Markets
Zeenat Hameed, Chresten Traeholt
https://arxiv.org/abs/2506.08472

BESS Participation Planning for Provision of Grid Services in Energy and Regulation Markets
This paper presents a stochastic optimization model for planning the participation of battery energy storage systems (BESSs) in energy and regulation markets. The proposed model quantifies and compares the business value of single and multi-market BESS services by accounting for their bid submission and acceptance procedures, pricing mechanisms and revenue streams, and penalty payments and degradation costs. By modelling the price uncertainties using market price scenarios (MPSs) and considerin…

ChemGraph: An Agentic Framework for Computational Chemistry Workflows
Thang D. Pham, Aditya Tanikanti, Murat Ke\c{c}eli
https://arxiv.org/abs/2506.06363 ht…

ChemGraph: An Agentic Framework for Computational Chemistry Workflows
Atomistic simulations are essential tools in chemistry and materials science, accelerating the discovery of novel catalysts, energy storage materials, and pharmaceuticals. However, running these simulations remains challenging due to the wide range of computational methods, diverse software ecosystems, and the need for expert knowledge and manual effort for the setup, execution, and validation stages. In this work, we present ChemGraph, an agentic framework powered by artificial intelligence an…

TPHE-Graphene: A First-Principles Study of a New 2D Carbon Allotrope for Hydrogen Storage
Jos\'e A. S. Laranjeira, Nicolas F. Martins, Kleuton A. L. Lima, Luis A. Cabral, Luiz A. Ribeiro, Douglas S. Galv\~ao, Julio R. Sambrano
https://arxiv.org/abs/2506.00609

TPHE-Graphene: A First-Principles Study of a New 2D Carbon Allotrope for Hydrogen Storage
The shift from fossil fuels to renewable energy sources is essential for reducing global carbon emissions and addressing climate change. Developing advanced materials for efficient hydrogen storage enables sustainable energy solutions in this context. Herein, we propose sodium-decorated TPHE-graphene as a high-performance two-dimensional material for hydrogen storage. Density functional theory (DFT) calculations demonstrate that TPHE-graphene exhibits dynamical, thermal, energetic, and mechanic…

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
Jun Wook Heo, Raja Jurdak, Sara Khalifa
https://arxiv.org/abs/2506.17268

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
High penetration of Photovoltaic (PV) generation and Battery Energy Storage System (BESS) in individual households increases the demand for solutions to determine the optimal PV generation power and the capacity of BESS. Self-consumption and self-sufficiency are essential for optimising the operation of PV-BESS systems in households, aiming to minimise power import from and export to the main grid. However, self-consumption and self-sufficiency are not independent; they share a linear relations…

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao
https://arxiv.org/abs/2506.06484

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Power-to-Gas (P2G) technologies gain recognition for enabling the integration of intermittent renewables, such as wind and solar, into electricity grids. However, determining the most cost-effective operation of these systems is complex due to the volatile nature of renewable energy, electricity prices, and loads. Additionally, P2G systems are less efficient in converting and storing energy compared to battery energy storage systems (BESs), and the benefits of converting electricity into gas ar…

"‘It’s a virtuous spiral, and it’s just beginning’: electric vehicles as mini power plants"
#EV #ElectricVehicles #Cars

‘It’s a virtuous spiral, and it’s just beginning’: electric vehicles as mini power plants - Positive News
The grid is struggling, and EVs add extra pressure. Thanks to their potential as energy storage plants, however, they could be part of the solution

OLi3-decorated Irida-graphene for High-capacity Hydrogen Storage: A First-principles Study
Jose A. S. Laranjeira, Warda Elaggoune, Nicolas F. Martins, Xihao Chen, Julio R. Sambrano
https://arxiv.org/abs/2506.02375

OLi3-decorated Irida-graphene for High-capacity Hydrogen Storage: A First-principles Study
Efficient hydrogen storage in solid-state materials is essential for next-generation energy systems, yet achieving a high gravimetric capacity with optimal adsorption characteristics remains a critical challenge. Although Li-decorated irida-graphene (IG) has shown promising hydrogen storage potential, its capacity is limited to $\sim$ 7wt\%, which, despite exceeding the U.S. DOE target, remains inadequate for large-scale applications. Additionally, Li clustering over extended cycles may comprom…

This https://arxiv.org/abs/2503.23604 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

The optimum mix of storage and backup in a highly renewable, highly reliable European electricity grid
We estimate the variability of solar and wind energy generation potential in Europe over a 43 year period between 1980-2022 with the MERRA-2 reanalysis datasets. We compare the estimated supply potential to hourly demand data from 36 European countries to calculate the reliability of a highly renewable electricity grid in Europe. We find that in cost-optimised scenarios with onshore wind, solar and storage, but no natural gas, reliably meeting the last 1% of demand represents 36% of the entire …

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge
Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
https://arxiv.org/abs/2506.02847

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge
Deploying large language models (LLMs) on edge devices is crucial for delivering fast responses and ensuring data privacy. However, the limited storage, weight, and power of edge devices make it difficult to deploy LLM-powered applications. These devices must balance latency requirements with energy consumption and model accuracy. In this paper, we first quantify the challenges of deploying LLMs on off-the-shelf edge devices and then we present CLONE, an in-depth algorithm-hardware co-design at…

Optimal BESS Scheduling for Multi-Market Participation in the Nordics
Zeenat Hameed, Chresten Traeholt
https://arxiv.org/abs/2506.02837 https://

Optimal BESS Scheduling for Multi-Market Participation in the Nordics
Battery energy storage systems BESSs can provide fast frequency reserves and energy arbitrage in Nordic electricity markets but their limited energy capacity requires accurate revenue forecasts and coordinated bidding across multiple submarkets. This paper introduces a unified framework that employs generalized additive models GAMs to generate one week ahead forecasts of spot and FCRN revenues in Denmark, Finland, and Norway using three years of hourly price and volume data. Forecast outputs fe…

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
Juan Pablo Bertucci, Sudarshan Raghuraman, Mauro Salazar, Theo Hofman
https://arxiv.org/abs/2506.01426

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
The major challenges to battery electric truck adoption are their high cost and grid congestion.In this context, stationary energy storage systems can help mitigate both issues. Since their design and operation are strongly coupled, to make the best out of them, they should be jointly optimized. This paper presents a co-design framework for hybrid energy storage systems where their technology and sizing are optimized jointly with their operational strategies. Specifically, we consider a microgr…

A Spintronic Battery with Reversible Modulation of Spin Polarization through Li Charge/Discharge: A First Principles Computational Modelling Case Study for an Antiperovskite System
Sk Mujaffer Hossain, Vinila Bedekara, Priyanka Yadavb, Ram Janay Chudhary, Satishchandra Ogale
https://arxiv.org/abs/2506.14401

A Spintronic Battery with Reversible Modulation of Spin Polarization through Li Charge/Discharge: A First Principles Computational Modelling Case Study for an Antiperovskite System
A key notion defining the progress of the emergent fields of modern electronics, renewable energy, and smart systems is charge storage, which is primarily embodied in various battery chemistries and systems. In addition to the charge property, the electron also has the spin property, which is exploited in the field of spintronics to access novel magnetically controlled device actions that are not accessible to conventional electronics. An interesting question is whether the two can be fruitfull…

Selective Excitation of Coupled Resonators via Complex Frequency Driving: Enhanced Efficiency and Crosstalk Suppression
Deepanshu Trivedi, Laraib Niaz, Andrea Al\`u, Alex Krasnok
https://arxiv.org/abs/2506.02207

Selective Excitation of Coupled Resonators via Complex Frequency Driving: Enhanced Efficiency and Crosstalk Suppression
Controlling individual elements of coupled resonator systems poses a significant challenge, as conventional real-frequency pulses suffer from inefficiency and crosstalk, limiting fidelity and scalability. To address this challenge, we propose and explore the use of complex frequency excitations, tailoring the driving signal waveform to match the target complex reflection zeros. We demonstrate that complex frequency driving can achieve near-unity selected energy storage efficiency (100%) in a si…

"World’s largest 1 MW/100 MWh sand battery commissioned in Finland"
#Finland #Energy #Battery #Renewables

World’s largest 1 MW/100 MWh sand battery commissioned in Finland
Finnish startup Polar Night Energy has commissioned the world’s largest sand battery in Pornainen, southern Finland. The industrial-scale system delivers 1 MW of thermal power with 100 MWh storage capacity, covering up to a month’s summer heat demand and nearly a week’s winter demand for the local district heating network.

This https://arxiv.org/abs/2404.08210 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The Inverse Carson's Equations Problem: Definition, Implementation and Numerical Experiments
In recent years, with the increase in renewable energy and storage penetration, power flow studies in low-voltage networks have become of interest in both industry and academia. Many studies use impedance represented by sequence components due to the lack of datasets with fully parameterized impedance matrices. This assumes that the network impedance is balanced, which is typically not the case in the low-voltage network and therefore risks the accuracy of the study. This paper proposes a metho…

"US adds 7.4 GW of clean power in Q1 2025, led by solar and storage"
#US #USA #America #SolarPOwer

US adds 7.4 GW of clean power in Q1 2025, led by solar and storage
The United States also installed a record 1.6 GW of grid-scale energy storage in the first quarter of 2025, according to a report from the American Clean Power Association (ACP).

Aluminum oxide coatings on Co-rich cathodes and interactions with organic electrolyte
M. D. Hashan C. Peiris, Michael Woodcox, Diana Liepinya, Robert Shephard, Hao Liu, Manuel Smeu
https://arxiv.org/abs/2506.09252

Aluminum oxide coatings on Co-rich cathodes and interactions with organic electrolyte
Lithium-ion batteries (LIBs) have become essential in modern energy storage; however, their performance is often limited by the stability and efficiency of their components, particularly the cathode and electrolyte. Transition metal layered oxide cathodes, a popular choice for lithium-ion batteries (LIBs), suffer from several degradation mechanisms, including capacity fading, reactions with the electrolyte, unstable cathode-electrolyte interfaces, and lattice breakdown during cycling. In recent…

EPC Framework for BESS Projects
Zeenat Hameed, Chresten Tr{\ae}holt
https://arxiv.org/abs/2506.13281 https://arxiv.org/pdf/2506.13281…

EPC Framework for BESS Projects
Battery Energy Storage Systems (BESS) are critical for modern power networks, supporting grid services such as frequency regulation, peak shaving, and black start. Delivering a BESS under an Engineering, Procurement, and Construction (EPC) model requires a concise methodology that balances regulatory compliance, technical details, and schedule efficiency. This paper presents a streamlined, five step EPC framework covering feasibility assessment, permitting, procurement, construction, and commis…

This https://arxiv.org/abs/2504.00998 has been replaced.
initial toot: https://mastoxiv.page/@a…

Real-space methods for ab initio modelling of surfaces and interfaces under external potential bias
Accurate ab initio modelling of surfaces and interfaces, especially under an applied external potential bias, is important for describing and characterizing various phenomena that occur in electronic, catalytic, and energy storage devices. Leveraging the ability of real-space density functional theory (DFT) codes to accommodate generic boundary conditions, we introduce two methods for applying an external potential bias that can be suitable for modelling surfaces and interfaces. In the first me…

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn
https://arxiv.org/abs/2506.06687

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
With electric power infrastructure posing an increasing risk of igniting wildfires under continuing climate change, utilities are frequently de-energizing power lines to mitigate wildfire ignition risk, which can cause load shedding. Recent research advocates for installing battery energy storage systems as well as undergrounding risky overhead lines to reduce the load shedding during such de-energizations. Since wildfire ignition risk can exhibit substantial geographic and temporal variations,…

Machine Learning-Guided Discovery of Temperature-Induced Solid-Solid Phase Transitions in Inorganic Materials
Cibr\'an L\'opez, Joshua Ojih, Ming Hu, Josep Lluis Tamarit, Edgardo Saucedo, Claudio Cazorla
https://arxiv.org/abs/2506.01449

Machine Learning-Guided Discovery of Temperature-Induced Solid-Solid Phase Transitions in Inorganic Materials
Predicting solid-solid phase transitions remains a long-standing challenge in materials science. Solid-solid transformations underpin a wide range of functional properties critical to energy conversion, information storage, and thermal management technologies. However, their prediction is computationally intensive due to the need to account for finite-temperature effects. Here, we present an uncertainty-aware machine-learning-guided framework for high-throughput prediction of temperature-induce…

This https://arxiv.org/abs/2409.16704 has been replaced.
initial toot: https://mastoxiv.page/@a…

Challenges in the Theory and Atomistic Simulation of Metal Electrodeposition
Electrodeposition is a fundamental process in electrochemistry, and has applications in numerous industries, such as corrosion protection, decorative finishing, energy storage, catalysis, and electronics. While there is a long history of using electrodeposition, its application for controlled nanostructure growth is limited. The establishment of an atomic-scale understanding of the electrodeposition process and dynamics is crucial to enable the controlled fabrication of metal nanoparticles and …

This https://arxiv.org/abs/2506.03439 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Optimizing Software Defined Battery Systems for Transformer Protection
Residential electric vehicle charging causes large spikes in electricity demand that risk violating neighborhood transformer power limits. Battery energy storage systems reduce these transformer limit violations, but operating them individually is not cost-optimal. Instead of individual optimization, aggregating, or sharing, these batteries leads to cost-optimal performance, but homeowners must relinquish battery control. This paper leverages virtualization to propose battery sharing optimizati…

Optimizing Software Defined Battery Systems for Transformer Protection
Sonia Martin, Obidike Nnorom Jr., Philip Levis, Ram Rajagopal
https://arxiv.org/abs/2506.03439

Optimizing Software Defined Battery Systems for Transformer Protection
Residential electric vehicle charging causes large spikes in electricity demand that risk violating neighborhood transformer power limits. Battery energy storage systems reduce these transformer limit violations, but operating them individually is not cost-optimal. Instead of individual optimization, aggregating, or sharing, these batteries leads to cost-optimal performance, but homeowners must relinquish battery control. This paper leverages virtualization to propose battery sharing optimizati…