42 research outputs found

    Streamlining Energy Transition Scenarios to Key Policy Decisions

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    Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternative approach is to define a few qualitative storylines from stakeholder discussions, which can be affected by biases and infeasibilities. Leveraging decision trees, a popular machine-learning technique, we derive interpretable storylines from many quantitative scenarios and show how the key decisions in the energy transition are interlinked. Specifically, our results demonstrate that choosing a high deployment of renewables and sector coupling makes global decarbonization scenarios robust against uncertainties in climate sensitivity and demand. Also, the energy transition to a fossil-free Europe is primarily determined by choices on the roles of bioenergy, storage, and heat electrification. Our transferrable approach translates vast energy model results into a small set of critical decisions, guiding decision-makers in prioritizing the key factors that will shape the energy transition

    Knowledge-Based Synthesis of Distributed Systems Using Event Structures

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    To produce a program guaranteed to satisfy a given specification one can synthesize it from a formal constructive proof that a computation satisfying that specification exists. This process is particularly effective if the specifications are written in a high-level language that makes it easy for designers to specify their goals. We consider a high-level specification language that results from adding knowledge to a fragment of Nuprl specifically tailored for specifying distributed protocols, called event theory. We then show how high-level knowledge-based programs can be synthesized from the knowledge-based specifications using a proof development system such as Nuprl. Methods of Halpern and Zuck then apply to convert these knowledge-based protocols to ordinary protocols. These methods can be expressed as heuristic transformation tactics in Nuprl.Comment: A preliminary version of this paper appeared in Proceedings of the 11th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning LPAR 2004, pp. 449-46

    Ueber einige wichtige Fortschritte welche im Maschinenwesen seit dem Anfang dieses Jahrhunderts, besonders in England, gemacht worden sind, und ĂĽber das langsame FortrĂĽcken unsrer Litteratur in diesem Fache

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    in einer öffentlichen Versammlung der churfürstl. bairischen Akademie der Wissenschaften an ihrer Stiftungsfeyer den 28 März abgelesen von Joseph Baade

    Beschreibung eines neu erfundenen Gebläses

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    von Joseph Baade
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