Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis

"The transition to renewable energy sources is reshaping energy systems globally. Germany is a leading example of this shift, having significantly increased its renewable energies (RE) generation in recent years, particularly wind and photovoltaic (PV). However, integrating RE into the grid pre...

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Autor principal: Menditto Lehner, Santiago Miguel
Formato: Tesis de maestría
Lenguaje:Inglés
Publicado: 2026
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Acceso en línea:https://hdl.handle.net/20.500.14769/5286
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spelling I32-R138-20.500.14769-52862026-03-20T07:33:04Z Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis Menditto Lehner, Santiago Miguel RENEWABLE ENERGY, WIND POWER, PHOTOVOLTAIC SYSTEMS, STOCHASTIC MODELS, WEATHER REANALYSIS, HIGH-RESOLUTION PROFILES ENERGÍA RENOVABLE, ENERGÍA EÓLICA, SISTEMAS FOTOVOLTAICOS, MODELOS ESTOCÁSTICOS, REANÁLISIS METEOROLÓGICO, PERFILES DE ALTA RESOLUCIÓN "The transition to renewable energy sources is reshaping energy systems globally. Germany is a leading example of this shift, having significantly increased its renewable energies (RE) generation in recent years, particularly wind and photovoltaic (PV). However, integrating RE into the grid presents unique challenges due to their unpredictable dynamic generation and decentral installation. Accurate analysis of RE integration requires high-resolution meteorological data at generation sites, which is often unavailable. Current sources include historical weather data from reanalysis weather models, which provide a maximum temporal resolution of 15 minutes and only mean and maximum parameters that fail to capture the dynamic nature of real weather conditions. Alternatively, stochastic models generate high-resolution profiles based on reference scenarios and incorporate necessary dynamics, but they do not reflect historical conditions. This master’s thesis proposes a methodology to generate realistic high-resolution generation profiles by interfacing low-resolution reanalysis weather models with existing stochastic models through a parameter translation. In a subsequent step, realistic generation is simulated using simplified but dynamic models for PV and wind turbines, tailored to the specific generation sites. The reanalysis model used (CERRA), covering Europe at a 5x5 km resolution, combined with data from the official German register of energy system units (Markstammdatenregister), allows the modeling of generic German RE generation sites with realistic dynamic generation profiles. The methodology is applied to an exemplary PV and wind park, revealing distinct dynamic behaviors under various weather conditions. For the wind farm, high-resolution profiles can result in generation losses compared to low-resolution profiles due to dynamic changes that prevented the generator from tracking the optimal operation point. Conversely, gains were observed in scenarios benefiting from the cubic relationship between wind speed and power. For PV the occurrence of clipping effects is demonstrated. Finally, in a case study the implementation of a battery energy storage system (BESS) with a wind turbine and a conventional gas power plant is analysed, showcasing the difference it makes when dynamic generation profiles are used to study the efficiency of energy storage systems". 2026-03-19T19:48:32Z 2026-03-19T19:48:32Z 2024-06-27 Tesis de maestría https://hdl.handle.net/20.500.14769/5286 en application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic RENEWABLE ENERGY, WIND POWER, PHOTOVOLTAIC SYSTEMS, STOCHASTIC MODELS, WEATHER REANALYSIS, HIGH-RESOLUTION PROFILES
ENERGÍA RENOVABLE, ENERGÍA EÓLICA, SISTEMAS FOTOVOLTAICOS, MODELOS ESTOCÁSTICOS, REANÁLISIS METEOROLÓGICO, PERFILES DE ALTA RESOLUCIÓN
spellingShingle RENEWABLE ENERGY, WIND POWER, PHOTOVOLTAIC SYSTEMS, STOCHASTIC MODELS, WEATHER REANALYSIS, HIGH-RESOLUTION PROFILES
ENERGÍA RENOVABLE, ENERGÍA EÓLICA, SISTEMAS FOTOVOLTAICOS, MODELOS ESTOCÁSTICOS, REANÁLISIS METEOROLÓGICO, PERFILES DE ALTA RESOLUCIÓN
Menditto Lehner, Santiago Miguel
Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
topic_facet RENEWABLE ENERGY, WIND POWER, PHOTOVOLTAIC SYSTEMS, STOCHASTIC MODELS, WEATHER REANALYSIS, HIGH-RESOLUTION PROFILES
ENERGÍA RENOVABLE, ENERGÍA EÓLICA, SISTEMAS FOTOVOLTAICOS, MODELOS ESTOCÁSTICOS, REANÁLISIS METEOROLÓGICO, PERFILES DE ALTA RESOLUCIÓN
description "The transition to renewable energy sources is reshaping energy systems globally. Germany is a leading example of this shift, having significantly increased its renewable energies (RE) generation in recent years, particularly wind and photovoltaic (PV). However, integrating RE into the grid presents unique challenges due to their unpredictable dynamic generation and decentral installation. Accurate analysis of RE integration requires high-resolution meteorological data at generation sites, which is often unavailable. Current sources include historical weather data from reanalysis weather models, which provide a maximum temporal resolution of 15 minutes and only mean and maximum parameters that fail to capture the dynamic nature of real weather conditions. Alternatively, stochastic models generate high-resolution profiles based on reference scenarios and incorporate necessary dynamics, but they do not reflect historical conditions. This master’s thesis proposes a methodology to generate realistic high-resolution generation profiles by interfacing low-resolution reanalysis weather models with existing stochastic models through a parameter translation. In a subsequent step, realistic generation is simulated using simplified but dynamic models for PV and wind turbines, tailored to the specific generation sites. The reanalysis model used (CERRA), covering Europe at a 5x5 km resolution, combined with data from the official German register of energy system units (Markstammdatenregister), allows the modeling of generic German RE generation sites with realistic dynamic generation profiles. The methodology is applied to an exemplary PV and wind park, revealing distinct dynamic behaviors under various weather conditions. For the wind farm, high-resolution profiles can result in generation losses compared to low-resolution profiles due to dynamic changes that prevented the generator from tracking the optimal operation point. Conversely, gains were observed in scenarios benefiting from the cubic relationship between wind speed and power. For PV the occurrence of clipping effects is demonstrated. Finally, in a case study the implementation of a battery energy storage system (BESS) with a wind turbine and a conventional gas power plant is analysed, showcasing the difference it makes when dynamic generation profiles are used to study the efficiency of energy storage systems".
format Tesis de maestría
author Menditto Lehner, Santiago Miguel
author_facet Menditto Lehner, Santiago Miguel
author_sort Menditto Lehner, Santiago Miguel
title Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
title_short Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
title_full Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
title_fullStr Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
title_full_unstemmed Techno-economical feasibility to supply CO2 free hydrogen to Germany from Patagonia using wind energy and electrolysis
title_sort techno-economical feasibility to supply co2 free hydrogen to germany from patagonia using wind energy and electrolysis
publishDate 2026
url https://hdl.handle.net/20.500.14769/5286
work_keys_str_mv AT mendittolehnersantiagomiguel technoeconomicalfeasibilitytosupplyco2freehydrogentogermanyfrompatagoniausingwindenergyandelectrolysis
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