Linda Brodnicke

ORCID: 0000-0002-3602-4712
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About
Contact & Profiles
Research Areas
  • Electric Vehicles and Infrastructure
  • Energy, Environment, and Transportation Policies
  • Environmental Impact and Sustainability
  • Smart Grid Energy Management
  • Climate Change Policy and Economics
  • Vehicle emissions and performance
  • Integrated Energy Systems Optimization
  • Advanced Battery Technologies Research
  • Energy Efficiency and Management
  • Energy and Environment Impacts
  • Digital Image Processing Techniques
  • Embedded Systems Design Techniques
  • Global Energy and Sustainability Research
  • Cellular Automata and Applications
  • Global Energy Security and Policy

ETH Zurich
2023

Multi-energy systems can improve the performance of traditional energy systems, where carriers and sectors are decoupled, in terms economic, environmental, social sustainability, measured as total cost energy, emissions per demand, self-sufficiency, respectively. This study assesses impact that policy mechanisms have enabling these sustainability benefits. A mixed-integer linear problem is implemented, which optimizes design operation multi-energy to minimize annual supplying residential...

10.1016/j.apenergy.2023.121276 article EN cc-by Applied Energy 2023-05-24

Photovoltaic (PV) installations on buildings are expected to play a crucial role in Switzerland’s efforts achieve decarbonization targets. Nevertheless, most analyses PV system design prioritize economic factors, and overlook the impact of angle-dependent generation, grid carbon intensity, export limitations their mitigation potential during operation. Our study sheds light cost- emission-optimal orientation sizing residential systems, factoring hourly intensity curtailment measures. We...

10.2139/ssrn.4694292 preprint EN 2024-01-01

Modeling to generate alternatives (MGA) is an increasingly popular method in energy system optimization. MGA explores the near-optimal space, namely, whose costs are within a certain fraction of globally optimal cost. Real-world stakeholders may prefer these due intangible factors. Nonetheless, widespread adoption hampered by its additional computational burden. Current methods identify boundary points space through repeated, independent optimization problems. Hundreds model runs usually...

10.48550/arxiv.2406.19809 preprint EN arXiv (Cornell University) 2024-06-28
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