Results 111 to 120 of about 112,072 (319)

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira   +4 more
wiley   +1 more source

Optimal energy flow and nodal energy pricing in carbon emission-embedded integrated energy systems

open access: yesCSEE Journal of Power and Energy Systems, 2018
Green energy is driving the evolutions of energy industry and carbon emission is becoming an important concern. Considering the increasing couplings among various energy sectors, this paper investigates multi-period optimal energy flow and energy pricing
Tao Jiang   +5 more
doaj   +1 more source

Re-Politicising Regulation: Politics: Regulatory Variation and Fuzzy Liberalisation in the Single European Energy Market [PDF]

open access: yes, 2007
[From the introduction] The idea that we are living in the age of the regulatory state has dominated the study of public policy in the European Union and its member states in general, and the study of the utilities sectors in particular.1 The European ...
Andersen, Svien S.,, Sitter, Nick.
core  

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang   +6 more
wiley   +1 more source

The use of natural gas pipeline network with different energy carriers

open access: yesEnergy Strategy Reviews, 2015
Abstract This paper discusses the economic and environmental aspects of utilizing the existing natural gas pipeline network in the UK with different energy carriers. A model has been developed to analyze the potential integration of hydrogen and biogas within the current natural gas network.
Linlin Ma, Catalina Spataru
openaire   +1 more source

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Research on the Evaluation Model for Natural Gas Pipeline Capacity Allocation Under Fair and Open Access Mode

open access: yesEnergies
Compared with other fossil energy sources, natural gas is characterized by compressibility, low energy density, high storage costs, and imbalanced usage.
Xinze Li   +4 more
doaj   +1 more source

UK energy in a global context: synthesis report [PDF]

open access: yes, 2014
No description ...
Ekins, Paul, Watson, Jim
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

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