- Integrated Energy Systems Optimization
- Carbon Dioxide Capture Technologies
- Hybrid Renewable Energy Systems
- Electric Vehicles and Infrastructure
- Smart Grid Energy Management
- Climate Change Policy and Economics
- Electric Power System Optimization
- Energy, Environment, and Transportation Policies
- Microgrid Control and Optimization
- Energy Efficiency and Management
- Electric and Hybrid Vehicle Technologies
- Environmental Impact and Sustainability
- Advanced Battery Technologies Research
- Energy and Environment Impacts
- Renewable Energy and Sustainability
Eurac Research
2024-2025
TU Dresden
2021-2024
Exploring pathways for transitioning to clean energy achieve climate change mitigation goals is essential. Addressing the economic impact of decarbonization options requires strategic planning determine cost-effective CO2 strategies. The assessment marginal abatement cost curves (MACC) commonly used link costs and emission reduction measures, with cumulative potential associated costs. This study aims calculate a step-wise MACC identify most order investments in measures German...
Detailed data on hard-to-abate industrial sectors is crucial for developing targeted decarbonization measures in energy system modeling, yet such information rarely available through open sources. This paper presents a top-down methodology to estimate detailed site-level and emissions databases by integrating expanding publicly data. The addresses three key challenges: (1) the disaggregation of national consumption site level, (2) categorization process heat four temperature ranges (<100 °C,...
The transparency and open availability of energy system models their input data are particular importance due to increasing complexity policy relevance. In recent years, a large number model-based scenario analyses have been carried out. These based on diverse model approaches lead rather broad range results, which different structures mathematical hardly directly comparable. this paper, detailed harmonized parameters the basis systematic experiment including four electricity models....
The energy transition fosters a dynamic landscape marked by renewable energy, electrification, and complex interactions among actors technologies. Employing model experiments comparisons shows promise for exploring these connections enhancing clarity precision. This study adopts multi-model approach, integrating comparison to probe how the electrification of demand-side sectors strategic load shifts battery electric vehicles heat pumps might impact Germany's generation adequacy 2030....
The ongoing energy transition fosters a dynamic landscape marked by surging renewable energy, amplified electrification, and complex interactions among varied actors technologies. To delve into these connections enhance model clarity refinement, employing experiments comparisons holds promise. This study adopts multi-model approach, integrating to probe how the electrification of demand-side sectors strategic load shifts battery electric vehicles heat pumps might impact Germany's generation...
Marginal CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> abatement cost curves derived from bottom-up or top-down models are widely used by policymakers to determine the least-cost sequential order of decarbonization measures and most effective strategies. However, model-based methods lack high temporal, sectoral, techno-economic resolution. To address these limitations, this paper presents a linear optimization method with an hourly...
Exploring pathways for transitioning to clean energy achieve climate change mitigation goals is essential. Addressing the economic impact of decarbonization options requires strategic planning determine cost-effective CO2 strategies. The assessment marginal abatement cost curves (MACC) commonly used link costs and emission reduction measures, with cumulative potential associated costs.This study aims calculate a step-wise MACC identify most order investments in measures German sector-coupled...