Produkty
menu item
Prospect
Odhadnite solárny potenciál vašej lokality
menu item
Evaluate
Time Series a TMY dáta pre optimálny dizajn elektrárne
menu item
Monitor
Hodnotenie fotovoltického výstupu v reálnom čase
menu item
Forecast
Predpoveď výroby solárnej energie na až 14 dní
menu item
Analyst
Spravujte všetky solárne dáta na jednom mieste
menu item
Integrácie
Automatizujte dodávku Solargis dát
Príklady použitia
menu item
Výber lokality
Nájdite správnu lokalitu pre váš solárny projekt
menu item
Simulácia energetického výnosu
Analyzujte potenciálne zisky a riziká
menu item
Optimalizácia návrhu elektrárne
Nájdite optimálny dizajn pre vašu solárnu elektráreň
menu item
Skutočný výkon elektrárne
Poznajte skutočný výnos vašej elektrárne
menu item
Predpoveď výkonu
Predpovedajte výnos z vášho solárneho projektu
menu item
Overenie pozemných dát
Overte si kvalitu solárnych a meteo meraní
Hodnotenie solárneho zdroja a meteorologických dát
Detailné hodnotenie a validácia solárneho zdroja
Prispôsobenie modelov Solargis lokalite
Kombinácia satelitných dát s lokálnymi meraniami
Kontrola kvality solárnych a meteorologických meraní
Oprava chýb v dátach z pozemných meraní
GIS dáta na mieru
Solargis GIS dáta prispôsobené pre vaše aplikácie
Posúdenie energetického výnosu z fotovoltiky
Odhadnite neistotu vstupných dát
Hodnotenie výkonu fotovoltiky
Odhad energie pre refinancovanie alebo akvizíciu
Štúdia PV variability a optimalizácie skladovania energie
Pochopte variabilitu výstupu naprieč regiónmi
Regionálna štúdia potenciálu solárnej energie
Identifikácia lokalít pre solárne elektrárne
Naša expertíza
Ako naša technológia funguje?
Metodológia
Ako preklápame vedu do technológie?
API & integrácia
Ako integrovať Solargis dáta cez API
Príručky a dokumentácia
Release notes
Príbehy klientov
Blog
Ebooky
Webináre
Publikácie
Udalosti
Bezplatné mapy a GIS dáta
Mapy solárneho výkonu
O spoločnosti Solargis
Partneri
ISO certifikáty
Kariéra

Táto stránka zatiaľ nie je preložená do slovenčiny. Pozrieť si ju môžete v angličtine.

It is widely accepted that high-standard pyranometers operated under rigorously controlled conditions are to be used for bankable performance assessment of photovoltaic (PV) power systems. Asset managers, O&M providers, and owners of PV portfolios are increasingly relying on satellite-derived solar resource data.

Have you ever had doubts about your Performance Ratio (PR) calculations because of gaps in solar data, unrealistic values, or simply because the information did not come from an independent source? Satellite-data provide benefits that help relieve worries.

1. It is beneficial to complement pyranometers by satellite data

Quality control of ground measured data

Maintaining systematic solar resource monitoring at high quality and without gaps is challenging, due to potential issues in data acquisition, storage and transmission. Data from ground-mounted sensors are prone to errors for reasons such as shading, misalignment of instruments, calibration issues, irregular or insufficient cleaning, etc. Use of satellite data allows for quality control, error detection and gap filling of ground measurements.

Independent verification

The satellite-based solar data make it possible to independently confirm validity of PR calculations based on ground measurements. As the satellite data come from an independent service provider, they can also be used for settling contractual arguments relating to doubts about measurements from pyranometers.

Save your time and money

Data supply from the satellite models is very stable and reliable. The satellite-based solar resource is cheap and redundant source of information, which enables implementation of advanced quality control and data analysis, and enables high level of automation.

Accuracy

Independent validation studies show that the Solargis satellite-based model has low uncertainty and stable performance. In many regions the accuracy of monthly and annual totals is comparable to that of data measured by well-maintained pyranometers. Correlating ground measured data and satellite-based model estimates helps reducing the uncertainty even more, and maintaining it in a longer term.

 

FIG. 1: UNCERTAINTY OF SOLARGIS GLOBAL HORIZONTAL IRRADIATION DATA VS. MEASUREMENTS FROM PYRANOMETERS. MODEL VALIDATION AT 190+ SITES, WORLDWIDE, SHOWS THAT ACCURACY OF GHI IS COMPARABLE TO PYRANOMETERS FOR MONTHLY AND ANNUAL SUMMARIES IN MOST REGIONS. EVEN LOWER DATA UNCERTAINTY CAN BE ACHIEVED BY CORRELATION OF SATELLITE AND GROUND-MEASURED 

2. Performance evaluation of residential and commercial projects

Installing and maintaining the pyranometers is relatively expensive and challenging. Therefore it is typically not an option for residential and small commercial PV projects. In a case of portfolio of smaller systems, use of satellite-derived solar resource is the only practical approach for performance evaluation.

3. Yearly variability of solar resource

It is often asked to what extent a particular month or year had received higher or lower solar radiation compared to the long-term average. Satellite-based modelled data are the most suitable for such an exercise as they record stable and map based historical archive of more than 16 years.

1426148540051

FIG. 2: LONG TERM AVERAGE OF YEARLY TOTAL OF GLOBAL HORIZONTAL IRRADIATION REPRESENTING YEARS 1999 TO 2014. SOURCE: SOLARGIS

 

2012 2013 2014 NA

FIG. 3: RELATIVE DIFFERENCE OF YEARLY TOTALS OF GLOBAL HORIZONTAL IRRADIATION IN YEARS 2012, 2013 AND 2014 COMPARED TO THE LONG-TERM AVERAGE (CALCULATED OVER A PERIOD 1999 TO 2014). SOURCE: SOLARGIS

 

Where to start?

Solargis pvSpot service is one of few options to receive solar resource and PV simulated data on a daily basis, for any location in North & Central America. In addition to solar resource, pvSpot supplies also the expected PV power simulation data. Register three PV systems of your choice at solargis.info/pvspot and receive free data, representing last 6 months, for your testing. For large portfolios the data are typically delivered via FTP or Web Service (programmable API).

 

Keep reading

WEBINAR: Solar resources data applications for utility planning and operations
Best practices

WEBINAR: Solar resources data applications for utility planning and operations

On Monday 23 Feb 2015 at 16:00 UTC, Marcel Suri (Solargis) and Tom Hoff (Clean Power Research) present the use of weather satellite data