Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder

Holly, Stefanie; Nieße, Astrid; Tröschel, Martin; Hammer, Lasse; Franzius, Christoph; Dmitriyev, Viktor; Dorfner, Johannes; Veith, Eric Msp; Harnischmacher, Christine; Greve, Maike; Masuch, Kristin; Kolbe, Lutz M.; Wulff, Boris; Kretz, Julian

doi:10.1186/s42162-020-00129-1

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…The recent streams of EI combine -as also highlighted in the call for this special issue -''the perspectives of electrical engineering, energy economics, and information technology'' (Staudt et al 2019). This is in line with Zhang et al (2018), who state that EI analyzes various digital technologies and ''their applications in the energy sectors'' to tackle energyrelated challenges, see, e.g., Förderer et al (2018) or Holly et al (2020). Literature in this field finds that the intelligent management of DCs can introduce positive effects on the stability of such flow network and offer appropriate economic incentives (Thimmel et al 2019).…”

Section: Related Literature and Backgroundmentioning

confidence: 56%

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: Related Literature and Backgroundmentioning

confidence: 56%

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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“…Research stream on energy informatics and CO 2 emission tracing applications is widespread, ranging, among others, from topics concerning energy efficiency (Watson et al 2010), energy flexibility, e.g., provided by electric vehicles (Holly et al 2020) or its exploitation via artificial intelligence (Fridgen et al 2022;Hanny et al 2022), over data centers that are enabled to act in the sense of the energy transition (Klingert 2018;Fridgen et al 2021), to the potential of IS for future energy data spaces to improve collaboration and energy systems' robustness (Körner et al 2022). In 2014, Goebel et al provided an overview of goals, themes, and use cases of Energy Informatics research that distinguishes relevant topics between "smart energy-saving systems" and "smart grids" (Goebel et al 2014).…”

Section: Background and Related Workmentioning

confidence: 99%

Enabling end-to-end digital carbon emission tracing with shielded NFTs

Babel

Gramlich²,

Körner³

et al. 2022

Energy Inform

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In the energy transition, there is an urgent need for decreasing overall carbon emissions. Against this background, the purposeful and verifiable tracing of emissions in the energy system is a crucial key element for promoting the deep decarbonization towards a net zero emission economy with a market-based approach. Such an effective tracing system requires end-to-end information flows that link carbon sources and sinks while keeping end consumers’ and businesses’ sensitive data confidential. In this paper, we illustrate how non-fungible tokens with fractional ownership can help to enable such a system, and how zero-knowledge proofs can address the related privacy issues associated with the fine-granular recording of stakeholders’ emission data. Thus, we contribute to designing a carbon emission tracing system that satisfies verifiability, distinguishability, fractional ownership, and privacy requirements. We implement a proof-of-concept for our approach and discuss its advantages compared to alternative centralized or decentralized architectures that have been proposed in the past. Based on a technical, data privacy, and economic analysis, we conclude that our approach is a more suitable technical backbone for end-to-end digital carbon emission tracing than previously suggested solutions.

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“…The FlexMan acts as a pre-aggregator and offers the aggregated flexibility of the fleet to a virtual power plant (VPP), which integrates the fleet into its asset pool and participates in the call for tender for FCR. Emphasis is put on ensuring that the logistics process of the terminal is not impaired and that the offered flexibility can be provided reliably [52].…”

Section: React: a Power System Perspectivementioning

confidence: 99%

Resilience of Digitalized Power Systems – Challenges and Solutions

Brand

Stark

Holly

et al. 2022

Preprint

Self Cite

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Power systems are undergoing a transition from centralized generation to distributed renewable generation. That calls for more flexibility in balancing generation and consumption because distributed energy resources in most cases rely on weather-dependent resources and can, therefore, only be controlled to a certain degree. The necessary flexibility can be achieved by introducing digitalization into the energy system. However, digitalization also leads to new vulnerabilities of the power system and increases its complexity. Additionally, the often rapid and unforeseeable development of information and communication technology introduces a new level of uncertainty in the system design. These circumstances make it necessary to shift from a classical design of robust to the design of resilient power systems that are able to anticipate, react to, and recover from them. In this paper, these real-time attributes of a resilient digitalized power system are analyzed with respect to potential measures: an enhanced situational awareness, virtualization, flexibilization, and a distributed blackstart. The measures tackle different challenges for resilient digitalized power systems and cover different phases of the resilience process, visualized in the so-called resilience bathtub curve. The implementation of these measures can increase the resilience of a digitalized power system and are meant to be combined with further, also non-real-time measures.

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Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder

Cited by 13 publications

References 15 publications

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

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

Enabling end-to-end digital carbon emission tracing with shielded NFTs

Resilience of Digitalized Power Systems – Challenges and Solutions

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