Pub Date : 2025-01-01Epub Date: 2025-03-07DOI: 10.1007/s40518-025-00252-1
Soyoung Oh, Jenna Greene, Matthias Honegger, Axel Michaelowa
Purpose of review: Despite the increasing political attention and support, the high costs of many carbon dioxide removal (CDR) technologies remain a barrier to their large-scale deployment. We provide an overview of the economics for two key CDR options - BECCS and DACCS - and review proposed and existing CDR policies to address the "CDR gap" in achieving the long-term temperature goals of the Paris Agreement.
Summary: Although we lack detailed cost breakdowns of actual projects, our review suggests that the cost range for BECCS is generally lower than that for DACCS. The key cost parameter for BECCS is the sustainability of biomass feedstock, and for DACCS the energy intensity.
Recent findings: Cost estimates for DACCS have increased due to experiences from commercial operation, for BECCS they are increasingly differentiated according to the sustainability of feedstock.
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Pub Date : 2025-01-01Epub Date: 2025-12-16DOI: 10.1007/s40518-025-00282-9
Zejun Ruan, Anthony Papavasiliou, Mehdi Madani
Purpose of review: This paper addresses the integration of reserve scarcity pricing into distribution locational marginal prices (DLMPs) by proposing a computationally tractable formulation of reserve deliverability. The primary goal is to understand how network congestion and generation scarcity affect DLMPs and to evaluate the effectiveness of different market design approaches in providing accurate investment signals in distributed energy systems.
Recent findings: Recent research has introduced flexibility platforms and models that attempt to integrate distributed energy resources within market operations. This work builds upon the Caramanis model, and introduces an inscribed-boxes formulation that allows for scalable application to meshed networks. The proposed model is shown to be equivalent to existing approaches on radial networks and offers computational tractability. Furthermore, it enables detailed analysis of DLMP pricing patterns under congestion and various energy and reserve flow scenarios.
Summary: The analysis reveals that accounting for reserve deliverability significantly impacts DLMPs and investment incentives. The findings emphasize that without incorporating network constraints and scarcity pricing, investment signals may be distorted, potentially leading to suboptimal infrastructure placement.
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