Note: The Tropics are located between 23.5° North and -23.5° South of the equator. Contact online >>
Note: The Tropics are located between 23.5° North and -23.5° South of the equator.
So far, we have conducted calculations to evaluate the solar photovoltaic (PV) potential in 13 locations across Ecuador. This analysis provides insights into each city/location''s potential for harnessing solar energy through PV installations.
Link: Solar PV potential in Ecuador by location
Seasonal solar PV output for Latitude: -0.2143, Longitude: -78.5017 (Quito, Ecuador), based on our analysis of 8760 hourly intervals of solar and meteorological data (one whole year) retrieved for that set of coordinates/location from NASA POWER (The Prediction of Worldwide Energy Resources) API:
To maximize your solar PV system''s energy output in Quito, Ecuador (Lat/Long -0.2143, -78.5017) throughout the year, you should tilt your panels at an angle of 0° for fixed panel installations.
As the Earth revolves around the Sun each year, the maximum angle of elevation of the Sun varies by +/- 23.45 degrees from its equinox elevation angle for a particular latitude. Finding the exact optimal angle to maximise solar PV production throughout the year can be challenging, but with careful consideration of historical solar energy and meteorological data for a certain location, it can be done precisely.
We use our own calculation, which incorporates NASA solar and meteorological data for the exact Lat/Long coordinates, to determine the ideal tilt angle of a solar panel that will yield maximum annual solar output. We calculate the optimal angle for each day of the year, taking into account its contribution to the yearly total PV potential at that specific location.
If you can adjust the tilt angle of your solar PV panels, please refer to the seasonal tilt angles below for optimal solar energy production in Quito, Ecuador. As mentioned earlier, for fixed-panel solar PV installations, it is optimal to maintain a 0° tilt angle throughout the year.
Our recommendations take into account more than just latitude and Earth''s position in its elliptical orbit around the Sun. We also incorporate historical solar and meteorological data from NASA''s Prediction of Worldwide Energy Resources (POWER) API to assign a weight to each ideal angle for each day based on its historical contribution to overall solar PV potential during a specific season.
This approach allows us to provide much more accurate recommendations than relying solely on latitude, as it considers unique weather conditions in different locations sharing the same latitude worldwide.
We''ve added a feature to calculate minimum solar panel row spacing by location. Enter your panel size and orientation below to get the minimum spacing in Quito, Ecuador.
This approach ensures maximum space efficiency while avoiding shading during critical times, as the Winter solstice represents the worst-case scenario for shadow length.
The solar PV analyses available on our website, including this one, are offered as a free service to the global community. Our aim is to provide education and aid informed decision-making regarding solar PV installations.
However, please note that these analyses are general guidance and may not meet specific project requirements. For in-depth, tailored forecasts and analysis crucial for feasibility studies or when pursuing maximum ROI from your solar projects, feel free to contact us; we offer comprehensive consulting services expressly for this purpose.
Enhance your solar panel''s performance with our in-depth guide. Determine the best tilt angle using hard data, debunk common misunderstandings, and gain insight into how your specific location affects solar energy production.
This manuscript is based on the master''s thesis by Leonard Ramos, conceptualized and supervised by Mariela Tapia. We thank the High-Performance Computing Team from the University of Oldenburg for their computing facilities. The first author dedicates this work in memory of Prof. Dr. Stefan Gößling-Reisemann.
Author contributions: Mariela Tapia: Conceptualization, methodology, formal analysis, writing – original draft, writing – review and editing. Leonard Ramos: Methodology, software, visualization, formal analysis, validation, writing – original draft. Detlev Heinemann: writing – review and editing. Edwin Zondervan: Writing – review and editing.
Research funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflict of interest statement: The authors declare no conflict of interest.
Overview of main parameters for the economic assessment of rooftop PV systems used in recent studies regarding PV assessment in different regions of Ecuador.
aThis value was not considered for the selection because according to ref. [10] it represents an hypothetical scenario,bthis value was not considered for the selection because the calculations uses prices of flexible PV modules [42], which are more expensive compared to the modules used in our study.
Comparison of the estimated annual energy yield under the base case assumptions and electricity consumption in urban and rural parishes of Quito disaggregated by consumption groups (residential, commercial, industrial and others).
Source: Own calculations and consumption statistics in 2019 taken from ref. [45].
Comparison of the estimated annual energy yield under the base case assumptions and electricity consumption in urban and rural parishes of Guayaquil disaggregated by consumption groups (residential, commercial, industrial and others).
Comparison of the estimated annual energy yield under the base case assumptions and electricity consumption in urban and rural parishes of Cuenca disaggregated by consumption groups (residential, commercial, industrial and others).
Comparison of the estimated annual energy yield under the base case assumptions and electricity consumption in parishes of the Galapagos Islands disaggregated by consumption groups (residential, commercial, industrial and others).
Long-term hourly averages of solar irradiance components from 1998 to 2018 in Quito. Data retrieved from the NSRDB.
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