Results 231 to 240 of about 45,154 (298)
Energy Science &Engineering, EarlyView.ABSTRACT Thermochemical gasification is one of the most efficient methods for producing solid waste synthesis gas. Therefore, to predict and analyze the process of gasification of municipal solid waste (MSW) in a downdraft fixed‐bed gasification reactor with a thermal capacity of 2.1 kW, a comprehensive numerical modeling approach based on Gibbs free ...
Mohammad Reza Gharib +2 more
wiley +1 more source
Tijuca Forest: An Urban Forest in the Anthropocene
Revista Virtual de Química, 2018 Graciela Arbilla +1 more
openaire +1 more source
Energy Science &Engineering, EarlyView.This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities
Energy Science &Engineering, EarlyView.Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova +7 more
wiley +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
Energy Science &Engineering, EarlyView.A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
Forced Draught Impact on Externally Venting Flames: An Experimental and Numerical Investigation
Fire and Materials, EarlyView.ABSTRACT Wind can significantly influence fire development and spread in urban and forest environments causing fatal consequences for the public, the first responders, and the environment. Wind‐driven fires can have a significant impact on structural fires as wind can increase the fire's intensity, development, and flame spread.
Anoop Subramania Warrier +5 more
wiley +1 more source
Fire and Rescue Service Preparedness for Natural Hazards
Fire and Materials, EarlyView.ABSTRACT Natural hazards driven by extreme weather events are expected to continue to pose a significant risk to citizens, property and the environment. Based on a series of national and international interviews with the Fire and Rescue Service (FRS), this paper presents an analysis of present practices within the FRS and FRS willingness to employ a ...
Johan Björck, Margaret McNamee
wiley +1 more source
Fire and Materials, EarlyView.ABSTRACT The relationship between accidental dwelling fire incidence and fire injury and fatality was examined using a Bayesian model to estimate the probability of a fire injury or fatality resulting from an accidental dwelling fire incidence under different circumstances of fire incidence (type of accidental dwelling fire, dwelling occupancy type ...
M. Taylor +5 more
wiley +1 more source