158 research outputs found
Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights
This article proposes a new electricity storage business model based on multiple simultaneously considered revenue streams, which can be attributed to different market activities and players. These players thus share electricity storage resources and compete to obtain the right to use them in a dynamic allocation mechanism. It is based on the design of anew periodically organized auction to allocate shared storage resources through physical storage rights between different market players and ac-companying applications. Through such a flexibility platform owners of flexible resources can commercialize their flexible capacity over different applications, while market players looking for additional flexibility can obtain this through a pay-per-use principle and thus not having to make long-term investment commitments. As such, they can quickly adapt their portfolio according to the market situation. Alternatively, through such an allocation mechanism players can effectively share storage re-sources. Players may be incentivized to participate as they can share the investment cost, mitigate risk, exploit economies of scale, overcome regulatory barriers, and merge time-varying and player-dependent flexibility needs. The mechanism allocates the limited storage resources to the most valuable application for each market-clearing, based on the competing players' willingness-to-pay. An illustrative case study is provided in which three players share storage resources that are allocated through a daily auction with hourly market-clearings
Mitigating Environmental and Public-Safety Risks of United States Crude-by-Rail Transport
We present a medium-term market equilibrium model of the North American crude oil sector via which we develop a scenario analysis to investigate strategies to mitigate the environmental and public-safety risks from crude-by-rail transportation across the United States. The model captures crude oil movements across rail-roads, pipelines and waterways, while distinguishing between light and heavy crude qualities. We find that restricting rail loads or increasing pipeline capacity from areas driving production will significantly reduce rail movements. However, lifting the United States crude oil export ban in isolation will only increase rail transportation volumes. We show that an integrated policy of targeted rail caps, pipeline investments and lifting the export ban sustainably addresses medium-term crude-by-rail risks in the United States
Local Consequences of Global Uncertainty: Capacity Development and LNG Trade Under Shale Gas and Demand Uncertainty and Disruption Risk
Recent supply security concerns in Europe have revived interest into the natural gas market. Here, we investigate investment behavior and trade in an imperfect market structure under uncertainty in both supply and demand. We focus on three uncertain events: i) transit of Russian gas via Ukraine that may be disrupted from 2020 on; ii) natural gas intensity of electricity generation in OECD countries that may lead to higher or lower natural gas demand after 2025; and iii) availability of shale gas around the globe after 2030. We illustrate how timing of investments is affected by inter-temporal hedging behavior of market agents, such as when LNG capacity provides ex-ante flexibility (e.g., in Ukraine to hedge for a possible Russian supply disruption) or an expost fallback option if domestic or nearby pipeline supply sources are low (e.g., uncertain shale gas resources in China). Moreover, we find that investment in LNG capacities is more determined by demand side pull (due to higher needs in electric power generation) than by supply side push (higher shale gas supplies needing an outlet)
The Role of CO2-EOR for the Development of a CCTS Infrastructure in the North Sea Region: A Techno-Economic Model and Application
Scenarios of future energy systems attribute an important role to Carbon Capture, Transport, and Storage (CCTS) in achieving emission reductions. Using captured CO2 for enhanced oil recovery (CO2-EOR) can improve the economics of the technology. This paper examines the potential for CO2-EOR in the North Sea region. UK oil fields are found to account for 47% of the estimated additional recovery potential of 3739 Mbbl (1234 MtCO2 of storage potential). Danish and Norwegian fields add 28% and 25%, respectively. Based on a comprehensive dataset, the paper develops a unique techno-economic market equilibrium model of CO2 supply from emission sources and CO2 demand from CO2-EOR to assess implications for a future CCTS infrastructure. A detailed representation of decreasing demand for fresh CO2 for CO2-EOR operation is accomplished via an exponential storage cost function. In all scenarios of varying CO2 and crude oil price paths the assumed CO2-EOR potential is fully exploited. CO2-EOR does add value to CCTS operations but the potential is very limited and does not automatically induce long term CCTS activity. If CO2 prices stay low, little further use of CCTS can be expected after 2035
Comparing energy system optimization models and integrated assessment models: Relevance for energy policy advice
Background: The transition to a climate neutral society such as that envisaged in the European Union Green Deal requires careful and comprehensive planning. Integrated assessment models (IAMs) and energy system optimisation models (ESOMs) are both commonly used for policy advice and in the process of policy design. In Europe, a vast landscape of these models has emerged and both kinds of models have been part of numerous model comparison and model linking exercises. However, IAMs and ESOMs have rarely been compared or linked with one another.
Methods: This study conducts an explorative comparison and identifies possible flows of information between 11 of the integrated assessment and energy system models in the European Climate and Energy Modelling Forum. The study identifies and compares regional aggregations and commonly reported variables. We define harmonised regions and a subset of shared result variables that enable the comparison of scenario results across the models.
Results: The results highlight how power generation and demand development are related and driven by regional and sectoral drivers. They also show that demand developments like for hydrogen can be linked with power generation potentials such as onshore wind power. Lastly, the results show that the role of nuclear power is related to the availability of wind resources.
Conclusions: This comparison and analysis of modelling results across model type boundaries provides modellers and policymakers with a better understanding of how to interpret both IAM and ESOM results. It also highlights the need for community standards for region definitions and information about reported variables to facilitate future comparisons of this kind. The comparison shows that regional aggregations might conceal differences within regions that are potentially of interest for national policy makers thereby indicating a need for national-level analysis
pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios [version 2; peer review: 3 approved]
The open-source Python package pyam provides a suite of features and methods for the analysis, validation and visualization of reference data and scenario results generated by integrated assessment models, macro-energy tools and other frameworks in the domain of energy transition, climate change mitigation and sustainable development. It bridges the gap between scenario processing and visualisation solutions that are "hard-wired" to specific modelling frameworks and generic data analysis or plotting packages.
The package aims to facilitate reproducibility and reliability of scenario processing, validation and analysis by providing well-tested and documented methods for working with timeseries data in the context of climate policy and energy systems. It supports various data formats, including sub-annual resolution using continuous time representation and "representative timeslices".
The pyam package can be useful for modelers generating scenario results using their own tools as well as researchers and analysts working with existing scenario ensembles such as those supporting the IPCC reports or produced in research projects. It is structured in a way that it can be applied irrespective of a user's domain expertise or level of Python knowledge, supporting experts as well as novice users.
The code base is implemented following best practices of collaborative scientific-software development. This manuscript describes the design principles of the package and the types of data which can be handled. The usefulness of pyam is illustrated by highlighting several recent applications
Restauration morpho-dynamique et redynamisation de la section court-circuitée du Rhin en aval du barrage de Kembs (projet INTERREG / EDF)
National audienceThe Upper Rhine River has been heavily impacted by channelization for flood protection and navigation, and then by damming for hydropower generation. In normal non flooding conditions, most of the flows are diverted in a canalized section whereas the regulated âold Rhineâ bypassed reach runs a minimum flow. Between Huningue and Neuf-Brisach, engineering works induced simplification and stabilization of the channel pattern from a formerly braiding sector to a single incised channel, hydrological modifications, bottom armouring due to bedload decrease, and thus ecological alterations. Two complementary and interdisciplinary projects have been initiated to restore alluvial morphodynamics: i) the international âINTERREG IV - Redynamisation of the old Rhineâ project (2009-2012) coordinated by the Alsace region, France; ii) the left bank âcontrolled erosionâ project launched by ElectricitĂ© de France (EDF) within Kembs hydroelectric station relicensing process since 2003-2004. The purpose of these projects is to evaluate the feasibility of an important hydro-morphological and ecological restoration plan on a 45 km long reach, through both field testing of bank erosion techniques at favourable locations, and artificial sediments input from right bank excavations. This will help define possible long term prospective scenarios, in order to restore sustainable sediment transport, morphodynamics variability and associated ecological functions. The study will involve historical analysis, hydro-morphological / hydraulic physical and numerical modelling, physical and ecological monitoring, and sociological aspectsLe Rhin alsacien-allemand a enregistrĂ© de profondes modifications morphologiques et hydrologiques Ă la suite de sa correction et de sa rĂ©gularisation pour la protection contre les crues et la navigation, puis aprĂšs la construction de barrages hydro-Ă©lectriques. Les amĂ©nagements rĂ©alisĂ©s entre Huningue et Neuf-Brisach ont engendrĂ© une simplification et une stabilisation du style fluvial. Un fleuve en tresses a cĂ©dĂ© la place Ă un chenal unique incisĂ©. Le fond de chenal est devenu pavĂ© Ă cause dâune diminution des apports de charge de fond et des altĂ©rations Ă©cologiques ont Ă©tĂ© observĂ©es (simplification des habitats aquatiques et riverains). Deux projets complĂ©mentaires et interdisciplinaires ont Ă©tĂ© engagĂ©s afin de restaurer une dynamique des formes alluviales : i) le projet international INTERREG IV â Redynamisation du Vieux Rhin (2009-2012) sous lâimpulsion de la rĂ©gion Alsace ; ii) le projet dâĂ©rosion maitrisĂ©e des berges de la rive gauche conduit par ElectricitĂ© de France (EDF) dans le cadre du renouvellement de la concession de lâamĂ©nagement de Kembs. Lâobjectif des deux projets est de dĂ©finir un plan de restauration hydro-morphologique et Ă©cologique conduisant Ă la redynamisation dâun tronçon de 45 km. LâĂ©tude repose sur une analyse historique, lâexploitation de modĂšles Ă la fois physiques et numĂ©riques, et les suivis morphologiques in situ dâune recharge artificielle en sĂ©diments et dâĂ©rosions de berge contrĂŽlĂ©es. Ces Ă©tudes de faisabilitĂ© sont complĂ©tĂ©es par des analyses Ă©cologique et sociologique pour apprĂ©cier lâimpact socio-environnemental de ces projets
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