A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …
forecasting, which constitutes an essential step in planning and operating power systems …
Optimal techno-economic sizing of a standalone floating photovoltaic/battery energy storage system to power an aquaculture aeration and monitoring system
C Jamroen - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Aeration systems are commonly utilized to increase dissolved oxygen (DO) in aquaculture.
However, there is a major difficulty in integrating these aeration systems into aquaculture …
However, there is a major difficulty in integrating these aeration systems into aquaculture …
The role of state-of-charge management in optimal techno-economic battery energy storage sizing for off-grid residential photovoltaic systems
With increased photovoltaic (PV) penetration in residential areas, an off-grid PV system is a
sustainable solution to meet the zero net emissions goal by 2050. However, an off-grid PV …
sustainable solution to meet the zero net emissions goal by 2050. However, an off-grid PV …
Spatio-temporal characterization of long-term solar resource using spatial functional data analysis: Understanding the variability and complementarity of global …
Understanding the spatio-temporal variability of the solar resource is crucial to effectively
support solar power utilization. Unfortunately, long-term and high-resolved measurements of …
support solar power utilization. Unfortunately, long-term and high-resolved measurements of …
Spatio-temporal dynamic clustering modeling for solar irradiance resource assessment
P Maldonado-Salguero, MC Bueso-Sánchez… - Renewable Energy, 2022 - Elsevier
Nowadays, with the development of international policies and agreements to promote the
integration of renewable energy sources, mainly solar and wind, modeling the solar …
integration of renewable energy sources, mainly solar and wind, modeling the solar …
Evaluating WRF-Solar EPS cloud mask forecast using the NSRDB
Improving the accuracy of day-ahead solar forecasts using numerical weather prediction
models requires improving the forecasting of cloud occurrence and properties. Validating …
models requires improving the forecasting of cloud occurrence and properties. Validating …
[HTML][HTML] Assessing the WRF-Solar model performance using satellite-derived irradiance from the National Solar Radiation Database
PA Jiménez, J Yang, JH Kim… - Journal of Applied …, 2022 - journals.ametsoc.org
WRF-Solar is a numerical weather prediction model specifically designed to meet the
increasing demand for accurate solar irradiance forecasting. The model provides flexibility in …
increasing demand for accurate solar irradiance forecasting. The model provides flexibility in …
A gridded solar irradiance ensemble prediction system based on WRF-solar EPS and the analog ensemble
The WRF-Solar Ensemble Prediction System (WRF-Solar EPS) and a calibration method,
the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of …
the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of …
Improving the prediction of DNI with physics-based representation of all-sky circumsolar radiation
Direct normal irradiance (DNI) is often interpreted differently in ground measurements and
forecasts using numerical weather prediction (NWP) models, leading to substantial bias in …
forecasts using numerical weather prediction (NWP) models, leading to substantial bias in …
Evaluation of clear-sky and satellite-derived irradiance data for determining the degradation of photovoltaic system performance
B Marion - Solar Energy, 2021 - Elsevier
Knowing the degradation in performance of a photovoltaic (PV) system over time is
important for estimating the lifetime energy produced and the financial return. A key …
important for estimating the lifetime energy produced and the financial return. A key …