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Sebastian Kebrich

Publications and source records attributed to Sebastian Kebrich.

2 recordsLinked to original sources

Impacts of Stratospheric Aerosol Injection on Renewable Energy Systems

Climate change is one of the 21st centurys major challenges. However, the progress in reducing greenhouse gas emissions is perceived as being too slow. Hence, more radical technologies such as stratospheric aerosol injection are entering discussions to limit climate change. This study presents a methodology for evaluating the effects of injecting 20Mt of SO$_2$ into the atmosphere annually on the global radiative balance, photovoltaic potentials, and renewable energy systems under a targeted temperature reduction of 2{\deg}C. Results show that the average annual reduction of PV potentials ranges from 0.25% to 4% up to 12% in Northern Europe during summer. The modeled renewable energy systems largely absorb these reductions resulting in minor capacity shifts with larger changes confined to a few systems. The results show that the inherent flexibility of large scale renewable energy systems helps mitigating changes in cost, but understanding this flexibility is crucial to avoid errors in design.

physics.comp-ph

Robust Capacity Expansion Modelling for Renewable Energy Systems

Future greenhouse gas neutral energy systems will be dominated by renewable energy technologies providing variable supply subject to uncertain weather conditions. For this setting, we propose an algorithm for capacity expansion planning: We evaluate solutions optimised on a single years' data under different input weather years, and iteratively modify solutions whenever supply gaps are detected. These modifications lead to solutions with sufficient capacities to overcome periods of cold dark lulls and seasonal demand/supply fluctuations. A computational study on a German energy system model for 40 operating years shows that preventing supply gaps, i.e. finding a robust system, increases the total annual cost by 1.6-2.9%. In comparison, non-robust systems display loss of load close to 50% of total demand during some periods. Results underline the importance of assessing the feasibility of energy system models using atypical time-series, combining dark lull and cold period effects.

math.OC