We present methods and insights for the design of CO capture, transport, and storage systems for industrial facilities with a case study focus on Louisiana. Our analytical framework includes (1) evaluating the scale and concentration of capturable CO emissions at individual facilities for the purpose of estimating the cost of CO capture retrofits that utilize various energy supply sources to meet parasitic demands; (2) screening to identify potential CO storage sites and estimate their capacities, injectivities, and costs; and (3) designing cost-minimized trucking or pipeline infrastructure connecting CO capture plants with storage sites, considering existing land uses, demographics, and a variety of social and environmental justice factors. Estimated levelized costs of capture at Louisiana's 190 industrial facilities range from below $50/tCO to above $500/tCO, depending on facility-specific features. We identified 98 potential storage sites with storage costs ranging from $8 to $17/tCO. We find that in most situations, pipelines are the least-costly mode of CO transport. When industrial facilities in a region share pipelines, aggregate pipeline mileage and average transport costs are dramatically lower than without sharing. Shared pipeline networks designed to avoid disadvantaged communities require right-of-way areas compared to those for networks that transect such communities, but result in 25% higher average per-tonne transport cost.
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http://dx.doi.org/10.1021/acs.est.4c05484 | DOI Listing |
PLoS One
January 2025
Renewable Energy Science and Engineering Department, Faculty of Postgraduate Studies for Advanced Sciences (PSAS), Beni-Suef University, Beni-Suef, Egypt.
This study presents a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on environmental variables such as temperature, humidity, wind speed, and wind direction. Along with Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), the following ML models were looked at: Linear Regression (LR), Support Vector Regressor (SVR), Random Forest (RF), Extra Trees (ET), Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). Using a dataset of 40,000 observations, the models were assessed based on R-squared, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE).
View Article and Find Full Text PDFVet Res Commun
January 2025
Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, 26900, Italy.
South American camelids (SACs), particularly llamas (Lama glama) and alpacas (Vicugna pacos) are gaining popularity in Europe. Initially valued for their fiber and land management capabilities, these animals are now also kept for animal therapy, outdoor activities, and as companion animals. Despite their close interactions with humans and other animals, there is limited research on the transmission of microbes or antimicrobial resistance genes from SACs.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Environmental Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Background: Meat is a good source of protein in the human diet, and more than three-quarters of the world's population consumes it. It is the most perishable food item since it has enough nutrients to enable microbial growth. In underdeveloped nations, animals are routinely slaughtered and sold in unsanitary conditions, compromising the bacteriological quality and safety of the meat received from the animals.
View Article and Find Full Text PDFBackground: Commercial fishing is a multibillion-dollar industry that supports job growth, small- to large- businesses, and port and city revenue. The commercial fishing industry continues to be one of the most dangerous in the US, with a fatality rate nearly 40 times higher than the national average. Dangers of the fishing industry are multi-faceted and include hazardous working conditions, strenuous labor, long work hours, and harsh weather.
View Article and Find Full Text PDFSci Rep
January 2025
The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK.
Foot-and-mouth disease virus (FMDV) is a highly contagious, economically important disease of livestock and wildlife species. Active monitoring and understanding the epidemiology of FMDV underpin the foundations of control programmes. In many endemic areas, however, veterinary resources are limited, resulting in a requirement for simple sampling techniques to increase and supplement surveillance efforts.
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