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Key Tips for Energy Solar Projects from Solar Power Association
Published in Eric A. Woodroof, Green Facilities Handbook, 2020
This business model isn’t available everywhere for everyone, and is most active in southwestern and northeastern states. The following are three important considerations to take into account to determine if your business may be well-suited for SES, currently or in the near future: Solar ResourceSolar resource refers to the amount of available sunshine in any given location and therefore is determined by geographic location and associated weather patterns. There are some common misconceptions about solar resource, but it is one of the first things to consider. However, solar resource unnecessarily overshadows other considerations and is not the determining factor for whether to investigate SES further.Electricity PricesA location with a great solar resource but lower electric rates may be less favorable than one with an average solar resource and high electric rates, i.e. New Mexico and Maryland could be equal when both resource and price are considered. Ultimately, a solar system is offsetting the retail price of electricity, not any particular electricity technology.State Regulatory and Incentive PoliciesState policies are arguably the biggest driver of the SES model, even more than electricity rates and solar resources. Together, the triad of resource, price, and policy paints the solar business environment picture (Figure 12-3).
Large-scale PV Projects
Published in Anco S. Blazev, Photovoltaics for Commercial and Utilities Power Generation, 2020
The form of the model given by Equations 6-1 through 6-10 is used when calculating the expected power and energy produced by a module, assuming that predetermined module performance coefficients and solar resource information are available. The solar resource and weather data required by the model can be obtained from tabulated databases or from direct measurements.
Analysis of ANN-based daily global horizontal irradiance prediction models with different meteorological parameters: a case study of mountainous region of India
Published in International Journal of Green Energy, 2021
Pratima Kumari, Durga Toshniwal
The solar resource availability of a location highly depends on the local meteorological and geographical parameters (Ahmed et al., 2020). Therefore, along with the type of models, input parameters also have a significant role in GHI prediction (Ouria 2019). Generally, GHI models employ meteorological parameters such as cloud cover, sunshine hours, temperature, wind speed, pressure, relative humidity, etc. to develop prediction models (Dhimish and Mather 2019; Siva Krishna Rao, Premalatha, and Naveen 2018). Besharat, Dehghan, and Faghih (2013) chronologically collected and reviewed 78 empirical global solar radiation (GSR) models to categorize them into four classes on the basis of employed input meteorological parameters: temperature-based, sunshine-based, cloud-based, other meteorological parameters-based. The authors concluded that the region of interest potentially influences the selection of input parameters. Further, in a comprehensive study for solar irradiance prediction using ANN models, Yadav and Chandel (2014) also suggested that it is necessary to identify the most relevant input parameters which show high correlations and approximations with daily GSR.
An alternative methodology to evaluate sites using climatology criteria for hosting wind, solar, and hybrid plants
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020
José Manuel Álvarez-Alvarado, José Gabriel Ríos-Moreno, Eusebio Jr Ventura-Ramos, Guillermo Ronquillo-Lomeli, Mario Trejo-Perea
This paper presents an alternative methodology to evaluate the wind and solar energy resources available in a certain site, and determine if it is a candidate to host wind, solar, or hybrid power plants (wind and solar) with only climatological criteria using databases of automatic meteorological stations. To assess the available wind resource, the Weibull distribution was performed according to its on-site wind speed and its parameters are calculated using the modified maximum likelihood (MML) method. The available solar resource is estimated by analyzing the sun peak hours and global solar radiation at the site. The wind speed and peak solar time variables are input to a decision tree that determines if the site is suitable to host wind, solar, hybrid, or no power generation technologies according to the weather criteria, which significantly contributes for planning, generation, management, and distribution of alternative energy sources.
Energy management system for grid-connected solar photovoltaic with battery using MATLAB simulation tool
Published in Cogent Engineering, 2020
Resources are anything coming from outside the system that is used by the system to generate electric power. Renewable resources are dependent on geographical locations. The solar resource potential depends on latitude, longitude, and environmental conditions. Solar resource potential data indicates the amount of radiation that strikes Earth’s surface in a typical year. The data can be presented as hourly average solar radiation on the horizontal surface (kWh/m2) (Table 1)/(Figure 1). Data were collected using interview, website/metrological (Islam et al., 2019) data, and direct measurements. Three weeks were given for data collectors and supervisors for 5 days on methods of taking data from electric customers through interviewing, and direct measurement.