References of "Rövekamp, Patrick"
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See detailRenewable electricity business models in a post feed-in tariff era
Rövekamp, Patrick; Schöpf, Michael; Wagon, Felix et al

in Energy (2021), 216

To expand intermittent renewable electricity sources (RESs), worldwide energy policy makers have introduced fixed feed-in tariffs (FITs). However, FITs typically expire after a limited time period. Due to ... [more ▼]

To expand intermittent renewable electricity sources (RESs), worldwide energy policy makers have introduced fixed feed-in tariffs (FITs). However, FITs typically expire after a limited time period. Due to the intermittent electricity supply of RES, market distortions, and insufficient flexibility options, exclusive participation in wholesale electricity markets might not be a viable business model for RES that no longer receive a FIT. Thus, it remains unclear which RES business models (RBMs) ensure a viable operation of RES in the post FIT era. To close this research gap, we present a typology encompassing five RBM archetypes: wholesale electricity market (1), physical power purchase agreements (2), nonphysical power purchase agreements (3), self-consumption (4), and on-site power-2-X (5). The typology includes three additional service layers, which may enhance the profitability of RBM archetypes by opening up additional revenue streams: infrastructure services (1), electricity storage services (2), and ancillary services (3). We highlight the need for new approaches to quantify the viability of RBM archetypes and services layers under different regulatory, technological, and market conditions. To prevent the imminent decommissioning of existing RESs, policy makers must shape the next era of the energy transition, weighting the implications of market-based and intervention-based energy policy approaches. [less ▲]

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See detailCompensating Balancing Demand by Spatial Load Migration : The Case of Geographically Distributed Data Center
Thimmel, Markus; Fridgen, Gilbert UL; Keller, Robert et al

in Energy Policy (2019), 130

The increasing share of renewables confronts existing power grids with a massive challenge, stemming from additional volatility to power grids introduced by renewable energy sources. This increases the ... [more ▼]

The increasing share of renewables confronts existing power grids with a massive challenge, stemming from additional volatility to power grids introduced by renewable energy sources. This increases the demand for balancing mechanisms, which provide balancing power to ensure that power supply always meets with demand. However, the ability to provide cost-efficient and eco-friendly balancing power can vary significantly between locations. Fridgen et al. (2017) introduce an approach based on geographically distributed data centers, aiming at the spatial migration of balancing power demand between distant locations. Although their approach enables the migration of balancing demand to cost-efficient and/or eco-friendly balancing mechanisms, it will come up against limits if deployed on a global scale. In this paper, we extend Fridgen et al. (2017)’s approach by developing a model based on geographically distributed data centers, which not only enables the migration of balancing demand but also compensates for this migration when it is contradictory between different balancing power markets without burdening conventional balancing mechanisms. Using a simulation based on real-world data, we demonstrate the possibility to exploit the potential of compensation balancing demand offered by spatial load migration resulting in economic gains that will incentivize data center operators to apply our model. [less ▲]

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