Tootfinder

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…

"Ocean currents can generate electricity, and our study shows Africa's seas have some of the strongest"
#Africa #Oceans #Energy

Ocean currents can generate electricity, and our study shows Africa's seas have some of the strongest
The world's oceans cover more than 70% of Earth's surface. They're filled with currents, some much stronger than the fastest flowing large rivers. These currents can be harnessed as clean, marine renewable energy. Marine energy is much more predictable and reliable than many other forms of renewable energy because unlike the sun and wind, which regularly do not produce electricity, ocean currents never stop moving around the planet. New research has found that the eastern and south-eastern coas…

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 (…

Imagine you want to produce E-Fuels⚡⛽ but the power company does not want to sell you electricity⚡
That appears to be what potential E-Fuels producers faced in Iceland🇮🇸. The country uses 100% renewable electricity (hydro/geo) & could produce more.
Yet, Iceland's electricity producer Landsvirkjun does not have enough electricity⚡. Building new plants is delayed by slow permitting 📝. Landsvirkjun has therefore set out priorities.

Iceland's E-Fuels Controversy
Hydrogen and E-Fuels companies want to utilize Iceland's abundant renewable energy sources. But Iceland's largest energy company Landsvirkjun does not want to sell electricity to them. E-Fuels producers hope that European authorities will intervene, the EFTA Surveillane Authority investigates.

I wouldn't over-claim re China's emissions reduction.
The reduction is only 1% and still likely to change to an increase.
Moreover, "Many wind and solar power projects have been halted across multiple Chinese regions "after a shift to market pricing. …

Chinese Wind, Solar Projects Shut Amid Shift to Market‐Based Pricing

Hier mal was erfreuliches: https://www.independent.co.uk/tech/renewable-energy-solar-nepal-bhutan-iceland-b2533699.html

Microgrids Coalitions for Energy Market Balancing
Viorica Chifu, Cristina Bianca Pop, Tudor Cioara, Ionut Anghel
https://arxiv.org/abs/2506.06058 https://

Microgrids Coalitions for Energy Market Balancing
With the integration of renewable sources in electricity distribution networks, the need to develop intelligent mechanisms for balancing the energy market has arisen. In the absence of such mechanisms, the energy market may face imbalances that can lead to power outages, financial losses or instability at the grid level. In this context, the grouping of microgrids into optimal coalitions that can absorb energy from the market during periods of surplus or supply energy to the market during perio…

Industrial Flexibility Investment Under Uncertainty: A Multi-Stage Stochastic Framework Considering Energy and Reserve Market Participation
Amund Norland, Lasse Skare, Ole Jakob Viken, Stian Backe
https://arxiv.org/abs/2506.08638

Industrial Flexibility Investment Under Uncertainty: A Multi-Stage Stochastic Framework Considering Energy and Reserve Market Participation
The global energy transition toward net-zero emissions by 2050 is expected to increase the share of variable renewable energy sources (VRES) in the energy mix. As a result, industrial actors will encounter more complex market conditions, characterized by volatile electricity prices, rising carbon costs, and stricter regulations. This situation calls for the industry to capitalize on opportunities in both spot-price arbitrage and reserve market participation, while also meeting future regulatory…

A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation
Sebasti\'an Rojas-Innocenti, Enrique Baeyens, Alejandro Mart\'in-Crespo, Sergio Saludes-Rodil, Fernando Frechoso Escudero
https://arxiv.org/abs/2506.10824

A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation
This paper presents a scenario based robust optimization framework for short term energy scheduling in electricity intensive industrial plants, explicitly addressing uncertainty in planning decisions. The model is formulated as a two-stage Mixed Integer Linear Program (MILP) and integrates a hybrid scenario generation method capable of representing uncertain inputs such as electricity prices, renewable generation, and internal demand. A convex objective function combining expected and worst cas…

Good article on some of the UK developments enabling aggregators (virtual lead parties) to unlock more demand side flexibility, including residential (heat pumps, batteries, EVs).
https://www.greenexecutives.com/post/unlocking-th…

Unlocking the Future of Energy: How UK Flex Markets Are Reshaping the Grid
With more renewable energy—especially wind and solar—being integrated than ever before, maintaining balance between supply and demand in real time is a growing challenge. That’s where flex markets come in - and everyone from business to consumers is invited to have a seat at the table.

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…

"Brazil generates 88% of power from renewables in 2024"
#Brazil #Energy #Renewables

Brazil generates 88% of power from renewables in 2024
Brazil’s electricity mix was 88% renewable in 2024, with wind and solar supplying about 24% of total demand, according to new data from state-owned energy agency Empresa de Pesquisa Energetica (EPE).

A better name for wind farms, solar parks, big hydro:
"Non renewable systems for capturing renewable energy flows."
Term used by Pedro Petro (cited by @… in his "The uncomfortable truths about the energy transition" (in Spanish).

Correlative angstrom-scale microscopy and spectroscopy of graphite-water interfaces
Lalith Krishna Samanth Bonagiri, Diana M. Arvelo, Fujia Zhao, Jaehyeon Kim, Qian Ai, Shan Zhou, Kaustubh S. Panse, Ricardo Garcia, Yingjie Zhang
https://arxiv.org/abs/2506.09908

Correlative angstrom-scale microscopy and spectroscopy of graphite-water interfaces
Water at solid surfaces is key for many processes ranging from biological signal transduction to membrane separation and renewable energy conversion. However, under realistic conditions, which often include environmental and surface charge variations, the interfacial water structure remains elusive. Here we overcome this limit by combining three-dimensional atomic force microscopy and interface-sensitive Raman spectroscopy to characterize the graphite-water interfacial structure in situ. Throug…

Optimal Voltage Control Using Online Exponential Barrier Method
Peng Zhang, Baosen Zhang
https://arxiv.org/abs/2506.10247 https://arx…

Optimal Voltage Control Using Online Exponential Barrier Method
This paper address the optimal voltage control problem of distribution systems with high penetration of inverter-based renewable energy resources, under inaccurate model information. We propose the online exponential barrier method that explicitly leverages the online feedback from grids to enhance the robustness to model inaccuracy and incorporates the voltage constraints to maintain the safety requirements. We provide analytical results on the optimal barrier parameter selection and sufficien…

Optimization and Control Technologies for Renewable-Dominated Hydrogen-Blended Integrated Gas-Electricity System: A Review
Wenxin Liu, Jiakun Fang, Shichang Cui, Iskandar Abdullaev, Suyang Zhou, Xiaomeng Ai, Jinyu Wen
https://arxiv.org/abs/2506.09447

Optimization and Control Technologies for Renewable-Dominated Hydrogen-Blended Integrated Gas-Electricity System: A Review
The growing coupling among electricity, gas, and hydrogen systems is driven by green hydrogen blending into existing natural gas pipelines, paving the way toward a renewable-dominated energy future. However, the integration poses significant challenges, particularly ensuring efficient and safe operation under varying hydrogen penetration and infrastructure adaptability. This paper reviews progress in optimization and control technologies for hydrogen-blended integrated gas-electricity system. F…

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…

Oh it is frustrating when I can't find an article I thought I saved but didn't! It was 3 myths (or misconceptions) commonly held by people who are not climate change deniers. One was the myth that it would only affect future generations, a long time in the future. Two was that renewable energy could fix it. Can't remember number three. Does that ring a bell for anyone? #climatecrisis

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…

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…

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…

Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities
Roni Blushtein-Livnon, Tal Svoray, Itai Ficshhendler, Havatzelet Yanel, Emir Galilee, Michael Dorman
https://arxiv.org/abs/2505.22456

Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities
Understanding the dynamics of renewable energy adoption is essential for designing strategies that accelerate its spread - an urgent priority for advancing climate goals and improving well-being, especially in off-grid regions facing energy poverty. This study introduces a time-series-based analytical framework that quantifies and classifies adoption behaviors of geographic entities within a region. A novel metric, the Adoption over Time Index (ATI), captures cumulative adoption intensity and i…

Optimal Coordination of Flexible DERs in Local Energy and Flexibility Markets to Ensure Social Equity
Niloofar Pourghaderi, Milad Kabirifar, Payman Dehghanian
https://arxiv.org/abs/2506.02179

Optimal Coordination of Flexible DERs in Local Energy and Flexibility Markets to Ensure Social Equity
Local electricity markets offer a promising solution for integrating renewable energy sources and other distributed energy resources (DERs) into distribution networks. These markets enable the effective utilization of flexible resources by facilitating coordination among various agents. Beyond technical and economic considerations, addressing social equity within these local communities is critical and requires dedicated attention in market-clearing frameworks. This paper proposes a social equi…

Robust Distribution Network Reconfiguration Using Mapping-based Column-and-Constraint Generation
Runjie Zhang, Kaiping Qu, Changhong Zhao, Wanjun Huang
https://arxiv.org/abs/2505.24677

Robust Distribution Network Reconfiguration Using Mapping-based Column-and-Constraint Generation
The integration of intermittent renewable energy sources into distribution networks introduces significant uncertainties and fluctuations, challenging their operational security, stability, and efficiency. This paper considers robust distribution network reconfiguration (RDNR) with renewable generator resizing, modeled as a two-stage robust optimization (RO) problem with decision-dependent uncertainty (DDU). Our model optimizes resizing decisions as the upper bounds of renewable generator outpu…

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 …

Today in “silly billboards in my community”. The first is by the very “truthful” (/s) people at LNGfacts.ca. Of course, the word "LNGfacts" does not appear anywhere in the dictionary because it's made up nonsense. Just like the "fact" that LNG “makes Canada stronger”... like we're going to win the war in Ukraine with our LNG or fend off #TheAmericanFascist. (Note: LNG is a tool of fascists not the other way around)
This billboard used to say “BC LNG WILL REDUCE GLOBAL EMISSIONS”... with a link to ‘bclnghelps.ca' but that was so clearly a lie that they were forced by the courts to remove it and delete their website, but I made a website instead in their honour called: bclngburns.ca
Back to today's billbboard though... Here's a fact from February 2025: “European LNG imports fell by 19% in 2024 as gas consumption reached an 11-year low, thanks, in part, to renewable energy additions.” (#BCPoli #BCLNG #ClimateAction #ClimateEmergency #ExtinctionRebellion #LNG #NaturalGas #Europe #EU #Ukraine #Russia

"Anti-Net Zero Reform Mayor Andrea Jenkyns Urges Offshore Wind Investment"
#UK #UnitedKingdom #Energy #WindTurbines

Anti-Net Zero Reform Mayor Andrea Jenkyns Urges Offshore Wind Investment
A Reform UK mayor who claims “net zero madness” is “bankrupting Britain” has called for investment in an offshore wind project “to boost growth” in the local economy. Dame Andrea Jenkyns, who was elected as Greater Lincolnshire Mayor in the 1 May local elections, has been a vocal opponent of climate action and renewable energy […]

Nonlinear Optimal Control of DC Microgrids with Safety and Stability Guarantees
Muratkhan Abdirash, Xiaofan Cui
https://arxiv.org/abs/2506.03454 https://…

Nonlinear Optimal Control of DC Microgrids with Safety and Stability Guarantees
A DC microgrid is a promising alternative to the traditional AC power grid, since it can efficiently integrate distributed and renewable energy resources. However, as an emerging framework, it lacks the rigorous theoretical guarantees of its AC counterpart. In particular, safe stabilization of the DC microgrid has been a non-trivial task in power electronics. To address that, we take a control theoretic perspective in designing the feedback controller with provable guarantees. We present a syst…

This https://arxiv.org/abs/2503.17770 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model
The proliferation of intermittent distributed renewable energy sources (RES) in modern power systems has fundamentally compromised the reliability and accuracy of deterministic net load forecasting. Generative models, particularly diffusion models, demonstrate exceptional potential in uncertainty quantification for scenario forecasting. Nevertheless, their probabilistic predictive capabilities and conditional bootstrapping mechanisms still remain underexplored. In this paper, a day-ahead probab…

"Meta adds another 650 MW of solar power to its AI push"
#Meta #SolarPower #Energy #Renewables

Meta adds another 650 MW of solar power to its AI push | TechCrunch
The company already has more than 12 gigawatts of capacity in its renewable power portfolio.

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Tamojit Chakraborty, Anamitra Pal, Sam Maleki
https://arxiv.org/abs/2505.24204

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Low-frequency oscillations (LFOs) present a significant challenge to the stability and reliability of power systems, especially in grids with a high penetration of renewable energy sources. Traditional grid-following (GFL) inverters have proven less effective in damping such oscillations. This paper presents a GFL-power plant controller with an auxiliary power oscillation damping control for damping LFOs. This approach is compared with a traditional power system stabilizer (PSS) for a two-area …