Transmission Grid Congestion Data and Directions for Future Research

Rausch, Benjamin; Staudt, Philipp; Weinhardt, Christof

doi:10.1145/3307772.3331018

Cited by 4 publications

(1 citation statement)

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“…In line with the Paris Agreement and the United Nations sustainability goals, i.e., the development and implementation of a sustainable energy system including a phase-out of fossil power plants, the share of renewable energy sources (RES) in the global energy mix has already risen significantly in the past years and continues to grow steadily (United Nations 2015). Despite decreasing carbon dioxide emissions, the increasing share of RES also poses several challenges: On the grid level, the inherent intermittency of RES leads to challenges for grid stability and requires cost-intensive congestion management (Rausch et al 2019). In Germany alone, these circumstances yielded costs of € 1.5 bn in 2018 for redispatch interventions (Bundesnetzagentur 2019).…”

Section: Introductionmentioning

confidence: 99%

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

et al. 2021

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To achieve a sustainable energy system, a further increase in electricity generation from renewable energy sources (RES) is imperative. However, the development and implementation of RES entail various challenges, e.g., dealing with grid stability issues due to RES’ intermittency. Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants. To address these challenges, this paper analyzes how the integration of an RES-plant and a computationally intensive, energy-consuming data center (DC) can promote investments in RES-plants. An optimization model is developed that calculates the net present value (NPV) of an integrated energy system (IES) comprising an RES-plant and a DC, where the DC may directly consume electricity from the RES-plant. To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin mining as relevant DC applications. The results illustrate that for both cases the NPV of the IES compared to a stand-alone RES-plant increases, which may lead to a promotion of RES-plants. The evaluation also finds that the IES may be able to provide significant energy flexibility that can be used to stabilize the electricity grid. Finally, the IES may also help to reduce the carbon-footprint of new energy-intensive DC applications by directly consuming electricity from RES-plants.

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Section: Introductionmentioning

confidence: 99%