Artificial intelligence enabled carbon capture: A review
Carbon capturing is imperative to fight climate change as much carbon emissions are
liberated into the atmosphere, leading to adversely negative environmental impacts. Today's …
liberated into the atmosphere, leading to adversely negative environmental impacts. Today's …
Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint
Y Zhou, Z Ma, X Shi, S Zou - Energy, 2024 - Elsevier
In a multi-regional integrated energy system (MIES), optimal scheduling under random
renewable supply and user demand is crucial to promote the process of carbon neutrality …
renewable supply and user demand is crucial to promote the process of carbon neutrality …
Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process
Faced with urgent energy crisis and global warming, there is still debate on how to balance
the relationship between the economy and environment when planning energy systems …
the relationship between the economy and environment when planning energy systems …
Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading
LL Wang, RC Xian, PH Jiao, JJ Chen, Y Chen, HG Liu - Renewable Energy, 2024 - Elsevier
Promoting renewable energy and developing low-carbon integrated energy systems are
noteworthy in the energy sector. However, in existing works on the integrated energy …
noteworthy in the energy sector. However, in existing works on the integrated energy …
Batteries or silos: Optimizing storage capacity in direct air capture plants to maximize renewable energy use
EO Arwa, KR Schell - Applied Energy, 2024 - Elsevier
Direct air capture (DAC) of carbon dioxide is among the technologies that is forecast to play
a major role in achieving the global ambition to constrain atmospheric temperature rise to …
a major role in achieving the global ambition to constrain atmospheric temperature rise to …
Multi‐stage stochastic dual dynamic programming to low‐carbon economic dispatch for power systems with flexible carbon capture and storage devices
The carbon capture and storage (CCS) technique gains much attention due to its role in
reducing CO2 emissions. By introducing flexible CCS devices into conventional power …
reducing CO2 emissions. By introducing flexible CCS devices into conventional power …
Performance prediction of a ground source heat pump system using denoised long short-term memory neural network optimised by fast non-dominated sorting genetic …
W Chaoran, Y Xiong, H Chanjuan - Geothermics, 2024 - Elsevier
The ground source heat pump (GSHP) is a commonly employed technique that utilises
geothermal resources to heat or cool buildings, offering an advantageous alternative for …
geothermal resources to heat or cool buildings, offering an advantageous alternative for …
Adaptive multi-agent reinforcement learning for flexible resource management in a virtual power plant with dynamic participating multi-energy buildings
Multi-building multi-energy virtual power plants (MB-ME-VPPs) show great promise for the
aggregation and coordination of distributed flexible resources across multiple integrated …
aggregation and coordination of distributed flexible resources across multiple integrated …
Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning
Energy system autonomous control is influenced by day-ahead forecasting, despite being
carried out independently in the literature. This paper develops an energy management …
carried out independently in the literature. This paper develops an energy management …
Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management
Coordinately scheduling multi-energy in a power system has attracted great research
attention because of the benefits like improved energy utilization efficiency, lower system …
attention because of the benefits like improved energy utilization efficiency, lower system …