Results 221 to 230 of about 252,503 (286)

Hydrogen Fuel Cell Technologies for Decarbonization: Opportunities, Challenges, and Strategic Pathways—A Comprehensive Review

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Hydrogen (H2) fuel cells are increasingly recognized as a cornerstone technology in the global transition toward clean energy due to their high efficiency and zero‐emission characteristics. This review synthesizes recent progress, challenges, and strategic pathways for the deployment of H2 fuel cells across the transportation, power generation,
Yash Sachin Gupta   +5 more
wiley   +1 more source

Balinese traditional building architecture dataset. [PDF]

open access: yesData Brief
Kadyanan IGAGA   +6 more
europepmc   +1 more source

Prediction of Energy Consumption and Energy Savings in an Urban Vertical Farm Benchmark

open access: yesEnergy Science &Engineering, EarlyView.
This research conducted a comprehensive energy consumption analysis of a vertical farm benchmark integrating cultivation, storage, transportation and office functions. It proposed the adoption of small‐scale wind turbines to reduce energy expenditure, hence addressing various sustainability development goals.
Simeng Xie   +2 more
wiley   +1 more source

Energy Storage System in Microgrids: Challenges and Opportunities

open access: yesEnergy Science &Engineering, EarlyView.
Hybrid integration of multiple Energy Storage Systems (ESSs) within renewable‐powered microgrids enhances reliability, flexibility, and economic sustainability. Lithium‐ion batteries, flow batteries, hydrogen storage, and thermal systems complement each other through coordinated control via Energy Management Systems.
Mohamed G. Moh Almihat, Josiah L. Munda
wiley   +1 more source

Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach. [PDF]

open access: yesSensors (Basel)
Leon-Medina JX   +8 more
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy