Results 131 to 140 of about 20,116 (262)
A nanostructured photonic‐thermal coating enables radiative‐cooling‐induced condensation and water harvesting, establishing a self‐sustaining agrivoltaics microclimate loop that transforms PV panels into active climate regulators. The integration of photovoltaic (PV) panels into agricultural landscapes (i.e., agrivoltaics) offers a promising path for ...
Saichao Dang +11 more
wiley +1 more source
Plants from Arid and Semi-Arid Zones of Mexico Used to Treat Respiratory Diseases: A Review. [PDF]
Dávila-Rangel IE +3 more
europepmc +1 more source
A photothermal–magnetocaloric coupled aerogel evaporator is developed for actively adjustable water evaporation in complex environments. Magnetocaloric heating provides active energy compensation under low‐light conditions and disrupts interfacial hydrogen‐bond networks to promote evaporation.
Jingbo He +8 more
wiley +1 more source
Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones. [PDF]
Jalhoum MEM +4 more
europepmc +1 more source
Bio‐Inspired Sclerotization of Lignin: A Robust Adhesive for Photothermal Wood‐Based Panels
A high‐performance lignin adhesive is engineered via an insect‐inspired sclerotization strategy involving oxidation and hyperbranched polymer grafting, overcoming lignin's adhesion failure, and yielding a wet shear strength of 1.02–1.21 MPa. The adhesive endows wood‐based panels with photothermal functionality; building energy simulations indicate HVAC‐
Zihao Ye +8 more
wiley +1 more source
ABSTRACT Freshwater availability is a critical climate change challenge in coastal delta regions. This challenge requires a transformative change toward circular water management. While experimentation and collaborative governance are recognized as enablers of transformative change, their interaction remains complex and insufficiently understood ...
Flavia Simona Albu Cosoveanu +3 more
wiley +1 more source
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif +5 more
wiley +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
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

