Ανανεώσιμες πηγές ενέργειας. Προβλέψεις
View/
Keywords
Ανανεώσιμες πηγές ενέργειας ; Πρόβλεψη ενέργειας ; Ενοποίηση δικτύου ; Βιώσιμη ανάπτυξη ; Μεθοδολογίες πρόβλεψης ; Οικονομικές επιπτώσεις ; Περιβαλλοντική αειφορία ; Συγκριτική ανάλυση ; Βελτιστοποίηση ; Ολοκληρωμένη πρόβλεψηAbstract
The transition towards Renewable Energy is pivotal in mitigating climate change impacts and fostering sustainable development. Central to this transition is the ability to accurately forecast renewable energy sources, which facilitates efficient energy management, grid integration, and the economic viability of renewable energy investments.
This research embarked on a comprehensive exploration of Renewable Energy Sources Forecasting, delineating the historical development, contemporary methodologies, and the challenges posed by the variability and unpredictability of renewable energy sources, as well as the need for integrated forecasting approaches. Employing a robust theoretical framework and a comparative analysis of different forecasting models, the study examined the different forecasting methods for each type of renewable energy sourceincluding solar, wind, hydropower, biomass, tidal and wave, and geothermal energy. Moreover, the research delved into the economic and environmental ramifications of renewable energy sources forecasting, analyzed the economic and environmental benefits of accurate renewable energy sources forecasting.
Through a meticulous examination of both Greek and International bibliographic literature and an analysis of case studies, the research demonstrated the value of renewable energy sources forecasting for supporting the integration of renewable energy into the power grid and improving energy management. The findings elucidated the paramountcy of integrated forecasting approaches in enhancing the accuracy and reliability of renewable energy forecasts, thereby facilitating the efficient and reliable integration of renewable energy into the power grid.
This master thesis explores renewable energy sources (RES) forecasting, a critical issue for the development and integration of RES into the power grid. The Academic Master Thesis examines the different forecasting methods for each type of RES (solar, wind, hydro, biomass, tidal and wave, geothermal), as well as the challenges and opportunities involved in RES forecasting.
The Academic Master Thesis also includes three case studies that demonstrate how RES forecasting can be used in practice to support the integration of RES into the power grid and to improve energy management.
The main findings of the Academic Master Thesis are as follows:
• RES forecasting is essential for the effective integration of RES into the power grid.
• There is a wide range of RES forecasting methods, each with its own advantages and disadvantages.
• The main challenges in RES forecasting are their variability and unpredictability.
• RES forecasting can be used in practice to support power grid operations and to improve energy management.
Finally, this thesis posits that advancing forecasting methodologies and addressing the inherent challenges are instrumental in harnessing the full potential of renewable energy sources, thus propelling the global stride towards a sustainable energy future.
Postgraduate Studies Programme
MBA TQM International - Ευρωπαϊκό Πρόγραμμα Μεταπτυχιακών Σπουδών στη Διοίκηση Επιχειρήσεων – Ολική Ποιότητα με διεθνή προσανατολισμό (MBA TQM Int)Department
Σχολή Οικονομικών, Επιχειρηματικών και Διεθνών Σπουδών. Τμήμα Οργάνωσης και Διοίκησης ΕπιχειρήσεωνNumber of pages
205Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα