Results 171 to 180 of about 51,925 (286)

Simulations of Photovoltaic Systems on Different Types of Ships in Sweden: Solar Energy Generation, Comparison to Energy Consumption, and Reduction of CO2 Emission

open access: yesEnergy Science &Engineering, EarlyView.
Investigation of the potential of using solar cells on different types of ships, to see how it reduces energy consumption and emissions of carbon dioxide (CO2). From the reduction in fuel consumption, the fuel cost reduction was estimated, and an approximate payback time for the solar cell system was calculated.
Joachim Wallenstein   +2 more
wiley   +1 more source

Distributed direct air capture by carbon nanofiber air filters. [PDF]

open access: yesSci Adv
Wu R   +16 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

The study of biosafety risk identification and analysis for facilities in biosafety level 3 laboratories. [PDF]

open access: yesFront Cell Infect Microbiol
Lv B   +9 more
europepmc   +1 more source

Off‐Grid Solar Systems: An Experimental Work and Systematic Techno‐Economic Analysis

open access: yesEnergy Science &Engineering, EarlyView.
In the study mentioned above, experimental monitoring and economic evaluation of two off‐grid PV systems were conducted using a low‐cost data logger. The results suggest that basic DC systems are economically feasible compared to grid power, but that AC systems require further cost‐cutting to achieve financial viability.
MD Shouquat Hossain   +7 more
wiley   +1 more source

Impact of residential cooking and heating on temporal changes of black carbon in rural India. [PDF]

open access: yesSci Rep
Chakraborty M   +5 more
europepmc   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem   +3 more
wiley   +1 more source

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