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Solar-driven cogeneration of electricity and water vapor via photovoltaic-enabled contactless evaporation

Solar-driven cogeneration systems integrating photovoltaic (PV) technology with waste-heat-driven interfacial evaporation offer a sustainable route to the simultaneous production of electricity and water vapor. However, salt accumulation in …

Auto-modelling for rooftop photovoltaic power estimation

Accurate rooftop photovoltaic (PV) power estimation is important for energy-yield assessment, operational monitoring, and future photovoltaic fault-detection (PVFD) applications, but conventional approaches often require in-situ irradiance sensors or …

A transient multiphysics modeling framework for microclimate in photovoltaic-integrated green roofs

Rooftop photovoltaic (RPV) systems can increase local temperatures and reduce module efficiency due to high solar absorption, whereas photovoltaic-integrated green roofs (PVIGR) can mitigate these thermal effects through their vegetated layers. Given …

Spatially encoded broadband all-optical thermoelectric synapses for in-sensor computing

In-sensor computing integrates the separated sensing, memory, and computing functions of conventional artificial intelligence (AI) systems, enabling low-power and efficient intelligent systems. In this study, we report a self-powered, broadband (from …

High temporal-resolution microclimate and photovoltaic power dataset for sustainable rooftop design in subtropical humid city

This paper presents a high resolution microclimate monitoring dataset designed to explore rooftop microclimate responses to different rooftop configurations within a subtropical humid campus setting. The dataset comprises measurements from seven …

Relaxed Shape Alignment and Temporal Distortion Loss for improving solar ramp events prediction

The inherent uncertainty of the weather system frequently causes solar ramp events, limiting the efficient integration of solar power into the grid. Although the use of multi-modal data sources with deep learning models has improved solar forecasting …

Improving day-ahead probabilistic solar irradiance forecasting via shape-prior flow matching for numerical weather prediction downscaling

Accurate day-ahead solar irradiance forecasting is essential for photovoltaic integration, reserve scheduling, and energy storage operation. However, operational Numerical Weather Prediction (NWP) products are commonly available at hourly resolution, …

Contactless evaporation for solar desalination: A review of fundamental principles and innovative designs

Solar-driven interfacial evaporation is widely considered a promising low-cost and sustainable technology for desalination; yet, persistent salt fouling on photothermal layers severely limits its long-term stability under high-salinity conditions. …

Weakly Informative Priors Flow Matching for Probabilistic Regional Solar Irradiance Forecasting

Probabilistic forecasting of regional surface solar irradiance provides critical technical support for the reliable operation and grid integration of large-scale and distributed photovoltaic power systems. However, stochastic fluctuations driven by …

Real-time estimation of cloud properties and surface downwelling longwave radiation from satellite imagery: A two-stage surrogate modeling approach

Passive sky radiative cooling systems, which utilize the universe as a natural heat sink, offer promising low-carbon solutions for urban cooling. Surface downwelling longwave radiation (SDLR), originating from the atmosphere, significantly influences …