1. 1 May 2023 Journal Article Journal of Thermal Science and Engineering Applications

    Skin Cooling of Turbine Airfoils by Single-Wall Effusion—Part II: Computational Fluid Dynamics Validation and Preliminary Design Optimization on a Micro-Turbine Vane

    Yair Lange, S Fatih Kirmizigöl, Sercan Acarer, Beni Cukurel
    Abstract

    Abstract. A reduced-order model (ROM) is developed to capture conjugate aero-thermal physics of effusion cooling in an entire micro-turbine vane/blade. The model considers a single-wall effusion scheme with internal boundary layer flow between the shell and an inner core. Coolant is supplied inside the leading edge and spread to both suction and pressure sides. The

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  2. 10 Apr 2023 Journal Article The Plant Journal

    A desert Chlorella sp. that thrives at extreme high-light intensities using a unique photoinhibition protection mechanism

    Guy Levin, Michael Yasmin, Varda Liveanu, Carmit Burstein, Rawad Hanna, Oded Kleifeld, Marc C Simanowitz, Ayala Meir, Yaakov Tadmor, Joseph Hirschberg, Noam Adir, Gadi Schuster
    Abstract

    While light is the driving force of photosynthesis, excessive light can be harmful. Photoinhibition is one of the key processes that limit photosynthetic productivity. A well-defined mechanism that protects from photoinhibition has been described. Chlorella ohadii is a green micro-alga, isolated from biological desert soil crusts, that thrives under extreme high light

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  3. 10 Apr 2023 Journal Article Energy and AI

    Explainability-based Trust Algorithm for electricity price forecasting models

    Leena Heistrene, Ram Machlev, Michael Perl, Juri Belikov, Dmitry Baimel, Kfir Yehuda Levy, Shie Mannor, Yoash Levron
    Abstract

    Advanced machine learning (ML) algorithms have outperformed traditional approaches in various forecasting applications, especially electricity price forecasting (EPF). However, the prediction accuracy of ML reduces substantially if the input data is not similar to the ones seen by the model during training. This is often observed in EPF problems when market dynamics

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  4. 8 Apr 2023 Journal Article Polymer

    Encapsulating an inorganic phase change material within emulsion-templated polymers: Thermal energy storage and release

    Abstract

    Phase change materials (PCMs) based on hydrated salts are promising candidates for energy storage and release applications owing to their relatively high latent heats per volume, their high thermal conductivities, and their nonflammability. The use of these PCMs, however, is limited owing to incongruent melting, significant supercooling during crystallization, and

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  5. 4 Apr 2023 Journal Article Environmental Science & Technology

    Fate and Exposure Assessment of Pb Leachate from Hypothetical Breakage Events of Perovskite Photovoltaic Modules

    Sherif A Khalifa, Sabrina Spatari, Aaron T Fafarman, Vasilis M Fthenakis, Patrick L Gurian, Mira S Olson, Jason B Baxter
    Abstract

    Emerging lead halide perovskite (LHP) photovoltaics are undergoing intense research and development due to their outstanding efficiency and potential for low manufacturing costs that render them competitive with existing photovoltaic (PV) technologies. While today’s efforts are focused on stability and scalability of LHPs, the toxicity of lead (Pb) remains a major

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  6. 1 Apr 2023 Journal Article Chemical Engineering Journal

    Breaking the passivity wall of metals: Exempli gratia non-aqueous Ti–air battery

    Yasin Emre Durmus, Marcel Kaltenberg, Krzysztof Dzieciol, Maximilian Schalenbach, Danny Gelman, Boris Shvartsev, Hermann Tempel, Hans Kungl, Rüdiger-A Eichel, Yair Ein-Eli
    Abstract

    A new multivalent metal–air battery employing Titanium (Ti) as active material in EMIm(HF)2.3F room temperature ionic liquid electrolyte is introduced. Ti metal is highly attractive as it is a light metal that can possibly transfer up to 4 electrons. The electrochemical behavior of Ti is known for its passivity in various media. Here, we evaluated the electrochemistry

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  7. 1 Apr 2023 Journal Article Energy Reports

    Emergency load shedding strategy for high renewable energy penetrated power systems based on deep reinforcement learning

    Hongwei Chen, Junzhi Zhuang, Gang Zhou, Yuwei Wang, Zhenglong Sun, Yoash Levron
    Abstract

    Traditional event-driven emergency load shedding determines the quantitative strategy by simulation of a specific set of expected faults, which requires high model accuracy and operation mode matching. However, due to the model complexity of renewable power generators and fluctuating power generation, traditional event-driven load shedding strategy faces the risk of

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  8. 22 Mar 2023 Conference Paper APS March Meeting 2023

    Cellulose-coated double-shell microparticle integrated with yeasts for consolidated bioprocesses

    Abstract

    Efficient utilization of lignocellulosic biomass as a sustainable alternative resource for biofuels and chemicals is of great importance in view of global warming and depleting fossil fuel reserves. High-pressure homogenization of hydrophobic liquids with cellulose solution or aqueous dispersion of cellulose hydrogel particles yields emulsion of double-shelled

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  9. 20 Mar 2023 Preprint Social Science Research Network

    Evaluation of Summer Mean Radiant Temperature Simulation in Envi-Met in a Hot Mediterranean Climate

    Or Aleksandrowicz
    Or Aleksandrowicz, Soultana Tanya Saroglou, David Pearlmutter
    Abstract

    In the backdrop of global climate change and expanding urbanization, climate-responsive urban planning and design must be more regularly adopted to better adapt cities to the negative effects of urban heat. One important aspect of securing more effective and efficient heat adaptation actions is the adoption of urban microclimate simulation tools for design purposes, to

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  10. 17 Mar 2023 Journal Article iScience

    Death spiral of the legacy grid: A game-theoretic analysis of modern grid defection processes

    Aviad Navon, Juri Belikov, Ron Ofir, Yael Parag, Ariel Orda, Yoash Levron
    Abstract

    Decreasing costs of distributed generation and storage, alongside increasing network charges, provide consumers with a growing incentive to defect from the main grid. On a large scale, this may lead to price inflation, hindrance of the energy transition, and even a “death spiral” – a domino effect of disconnections. Here, we develop a game-theoretic framework that

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