Relative risk and dalys assessment of indoor air pollutants in residential buildings - taking Dalian as an example. [PDF]
Zhang X +6 more
europepmc +1 more source
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]
Wu R +16 more
europepmc +1 more source
Prediction of Energy Consumption and Energy Savings in an Urban Vertical Farm Benchmark
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]
Lv B +9 more
europepmc +1 more source
Off‐Grid Solar Systems: An Experimental Work and Systematic Techno‐Economic Analysis
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]
Chakraborty M +5 more
europepmc +1 more source
Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
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
Detailed operational data for three Norwegian houses equipped with wood stoves: Sub-Hourly room-level measurements of indoor environmental quality, space-heating power, stove surface temperature, and household total electric power. [PDF]
Mohammadabadi A +2 more
europepmc +1 more source

