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[IEEE 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE) - Toronto, ON, Canada (2019.11.2-2019.11.4)] 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE) - Prediction of Solar Resource and Photovoltaic Energy Production through the Generation of a Typical Meteorological Year and Meso-NH Simulations: Application to the South of Portugal
摘要： The goal of this work is the generation of solar resource and photovoltaic (PV) energy maps based on simulations of a Numerical Weather Prediction model (NWP) for a Typical Meteorological Year (TMY). This approach is applied to the South of Portugal. Sixteen years of observations were used to determine a TMY for the city of évora, which is located near the center of the region, through the Sandia method and the Finkelstein-Schafer statistics. The NWP Meso- NH model, with the ecRad radiation scheme integrated, is used to simulate the TMY, allowing for the generation of solar resource and air temperature maps that are helpful in predicting PV potential, thus constituting a useful tool for planning and designing this type of solar systems.
关键词： Typical meteorological year,Meso-NH,Photovoltaic systems,Solar energy
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - The Case for Custom TMYa??s: Examples Using the NSRDB
摘要： A typical meteorological year (TMY) data set essentially represents an hourly compilation of median months constructed using multi-year datasets. Although TMY data sets are generated from irradiance data in the horizontal plane, they are used in photovoltaic (PV) modeling for systems inclined to various angles. This paper demonstrates that a POA TMY (plane of array TMY) generated by selecting median months from a timeseries dataset produces multi-year POA significantly different results than a POA TMY generated by transposing a TMY dataset constructed from horizontal data. In some months the differences can be more than 3%. These results point to the need for generating TMY’s using POA irradiance timeseries representing the orientation at which PV panels will be deployed.
关键词： NSRDB,POA,latitude tilt,typical POA year,single-axis tracking,typical meteorological year,TGPY,typical GHI-based POA year,TPY,plane of array
更新于2025-09-16 10:30:52
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Meteorological input data effect on sizing stand-alone photovoltaic systems
摘要： The exploitation of Renewable Energy Sources (RES) has already been proved as a promising power source for a sustainable future in energy supply, to cover the world’s energy demand. Solar energy is considered the most abundant RES of all, while being available in every part of our planet makes it favorable for distributed RES energy production systems. Solar-based stand-alone power systems, installed in remote areas far from the main local electricity networks, can be cost efficient and even provide energy security given that they have been carefully sized. Moreover, stand-alone photovoltaic systems can highly contribute to distributed renewable energy and microgrid networks even without other RES combination if they integrate with an appropriate energy storage (ES) system. During the sizing procedure of a photovoltaic (PV) plant, the solar potential of the area is the dominant parameter. The use of solar energy values, which may deviate from the actual values, has a relatively small impact on the overall energy assessment of interconnected photovoltaic installations. However, in the case of stand-alone PV systems, where the user requires energy autonomy, it is necessary to use hourly solar radiation along with air temperature values with increased reliability in order to determine the most cost effective combination of PV-ES system. Although there is an extended literature on stand-alone PV systems sizing procedures, the effect of using different input meteorological data on system’s size has not been sufficiently addressed. In this context, the present study examines the use of different meteorological input data of solar radiation and air temperature with data series from 12 individual years, a Mean Year (MY) and a Typical Meteorological Year (TMY). Although the TMY has been mainly used in building’s energy calculations, the results of the present work prove that the use of a TMY increases the power system reliability if compared with sizing the system by using time series of individual years or a MY. The case study presented in the specific work concerns an application of combined PV-ES able to provide energy autonomy to a domestic consumer, in a remote area in the island of Rhodes.
关键词： Energy Storage,TMY,Energy Autonomy,Remote Consumer,Typical Meteorological Year
更新于2025-09-12 10:27:22