435 research outputs found

    Book of Abstracts:9th International Conference on Smart Energy Systems

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    BNAIC 2008:Proceedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intelligence Conference

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    Aerospace medicine and biology: A cumulative index to a continuing bibliography (supplement 384)

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    This publication is a cumulative index to the abstracts contained in Supplements 372 through 383 of Aerospace Medicine and Biology: A Continuing Bibliography. It includes seven indexes: subject, personal author, corporate source, foreign technology, contract number, report number, and accession number

    An Integrated Framework and Software Prototype for Multi-scale Energy Systems Engineering

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    In this work, the developments of ENERGIA, a multi-scale energy systems transition modeling, optimization and scenario analysis framework and software prototype are presented. ENERGIA integrates (i) energy supply chain and transportation considerations, (ii) detailed energy production aspects, and (iii) scheduling decisions for operation and inventory management of energy and resources storage. It is based on a methodology that involves (i) detailed data and models for the description of process alternatives and units and the corresponding supply chains, (ii) a library of surrogate modeling techniques, for both the nonlinear process models, as well as scheduling decisions, and (iii) a detailed design planning time-varying scheduling model (iv) a mixed-integer programming optimization strategy. ENERGIA’s python-based environment allows users to visualize resource availability and demands at various temporal and geographic scales and resolutions, and compare competing objectives and renewable-based energy strategies. A hydrogen-economy energy transition problem is presented to highlight the key capabilities of the proposed framework

    Optimal control and approximations

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    Optimal control and approximations

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    Challenges and pathways of low-carbon oriented energy transition and power system planning strategy: a review

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    This paper provides an overview of the challenges and pathways involved in achieving a low-carbon-oriented energy transition roadmap and power system planning strategy. The transition towards low-carbon energy sources is crucial in mitigating the global climate change crisis. However, this transition presents several technical, economic, and political challenges. The paper emphasizes the importance of an integrated approach to power system planning that considers the entire energy system (including both physical and information systems and market mechanisms) and not just individual technologies. To achieve this goal, the paper discusses various pathways toward low-carbon energy transition, including the integration of renewable energy sources into current energy systems, energy efficiency measures, and market-based and regulatory strategies encompassing the implementation of regulations, standards, and policies. Furthermore, the paper underscores the need for a comprehensive and coordinated approach to energy planning, taking into account the socio-economic and political dimensions of the transition process. In addition, the paper reviews the methodologies used in modeling low-carbon-oriented power system planning, including both model-based methods and advanced machine learning-assisted solutions. Overall, the paper concludes that achieving a low-carbon-oriented energy transition roadmap and power system planning strategy requires a multi-dimensional approach that considers technical, economic, political, and social factors
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