TY - BOOK

T1 - Modelling, Simulation and Optimisation of Grid-Based Multi-Energy Systems Considering Different Spatial Resolutions

AU - Greiml, Matthias

N1 - no embargo

PY - 2022

Y1 - 2022

N2 -  Climate change is a significant challenge of our time. According to the European Commission, 93 per cent of Europeans are aware that climate change is a serious problem and have taken at least one action to address this challenge. So far, international climate agreements have paved the way for both European and national climate and energy strategies. The European Green Deal aims for a carbon-neutral European Union until 2050. The Austrian government has set even more ambitious targets, aiming for a 100 per cent annual net-balanced renewable electricity generation until 2030 and full climate neutrality until 2040. The continuous expansion of fluctuating renewable energy sources represents challenges for today’s energy system, that can be addressed by considering not only a single sector but the total energy system.Two main prerequisites are vital to evaluate the effects of renewable energy sources expansion on a multi-energy system (MES). Firstly, a suitable methodology is necessary to assess an energy system, including a detailed energy infrastructure depiction. Secondly, detailed models of the investigated energy systems are required. Most current methodologies assessing multi-energy systems rely on optimisation, inducing limitations in detailed energy grid depiction and spatial resolution. To overcome these limitations, the improved MES simulation framework “HyFlow” with options for optimisation is introduced. The framework enables the user to depict a MES, including e.g. power, natural gas and heat grids, storage, sector-coupling and power stations with specific residual loads or modes of operation. To investigate the effects of renewable energy sources expansion on MES, distinct scenarios with different spatial resolutions (local, federal state and national) are assessed. The impact of renewable energy sources expansion on each addressed MES and potential solution strategies are discussed. Austria’s MES is depicted based on publicly available data and previous research for the national scenario.The results show that the expansion of renewable energy sources has different effects on the assessed MES at different spatial resolutions. This depends mainly on the degree of exploitation of renewable energy sources. If the usage of renewable energy sources is expanded to a high degree, according to their technical potential, alternative solution strategies to mitigate grid congestion are necessary. A potential solution can be the generation of hydrogen via electrolysis. If the generated hydrogen is fed into the natural gas grid, gross caloric values may fluctuate temporally and spatially, but need to be kept within defined boundaries.

AB -  Climate change is a significant challenge of our time. According to the European Commission, 93 per cent of Europeans are aware that climate change is a serious problem and have taken at least one action to address this challenge. So far, international climate agreements have paved the way for both European and national climate and energy strategies. The European Green Deal aims for a carbon-neutral European Union until 2050. The Austrian government has set even more ambitious targets, aiming for a 100 per cent annual net-balanced renewable electricity generation until 2030 and full climate neutrality until 2040. The continuous expansion of fluctuating renewable energy sources represents challenges for today’s energy system, that can be addressed by considering not only a single sector but the total energy system.Two main prerequisites are vital to evaluate the effects of renewable energy sources expansion on a multi-energy system (MES). Firstly, a suitable methodology is necessary to assess an energy system, including a detailed energy infrastructure depiction. Secondly, detailed models of the investigated energy systems are required. Most current methodologies assessing multi-energy systems rely on optimisation, inducing limitations in detailed energy grid depiction and spatial resolution. To overcome these limitations, the improved MES simulation framework “HyFlow” with options for optimisation is introduced. The framework enables the user to depict a MES, including e.g. power, natural gas and heat grids, storage, sector-coupling and power stations with specific residual loads or modes of operation. To investigate the effects of renewable energy sources expansion on MES, distinct scenarios with different spatial resolutions (local, federal state and national) are assessed. The impact of renewable energy sources expansion on each addressed MES and potential solution strategies are discussed. Austria’s MES is depicted based on publicly available data and previous research for the national scenario.The results show that the expansion of renewable energy sources has different effects on the assessed MES at different spatial resolutions. This depends mainly on the degree of exploitation of renewable energy sources. If the usage of renewable energy sources is expanded to a high degree, according to their technical potential, alternative solution strategies to mitigate grid congestion are necessary. A potential solution can be the generation of hydrogen via electrolysis. If the generated hydrogen is fed into the natural gas grid, gross caloric values may fluctuate temporally and spatially, but need to be kept within defined boundaries.

KW - MES

KW - RES

KW - Energy System Modelling

KW - Energy System Simulation

KW - HyFlow

KW - Energy Grid

KW - Optimisation

KW - MES

KW - Erneuerbare Energien

KW - Energiesystem Modellierung

KW - Energiesystem Simulation

KW - HyFlow

KW - Energienetz

M3 - Doctoral Thesis

ER -