159 research outputs found

    Fatti e teorie

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    Mode of access: Internet

    Trasformazione della democrazia

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    - Generalità #9- Sgretolamento della sovranità centrale #33- il ciclo plutocratico #75- I sentimenti #91- Appendice #11

    Transformazione della democrazia

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    https://digitalrepository.trincoll.edu/eastbooks/1229/thumbnail.jp

    Il mito virtuista e la letteratura immorale

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    Il contributo di La Volpe alla teoria dinamica dell'economia

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    The paper presents the dynamic theory proposed by La Volpe in 1936. This analysis has been innovative in many ways: general equilibrium is defined as temporary, the presence and the role of expectations are introduced, the intertemporal choice of the agents is determined in such a way as to anticipate the life-cycle theory, and some important problems that emerge in the dynamic analysis are addressed. The relevance of La Volpe's book led Michio Morishima to publish its English translation

    Optimizing carbon tax for decentralized electricity markets using an agent-based model

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    Averting the effects of anthropogenic climate change requires a transition from fossil fuels to low-carbon technology. A way to achieve this is to decarbonize the electricity grid. However, further efforts must be made in other fields such as transport and heating for full decarbonization. This would reduce carbon emissions due to electricity generation, and also help to decarbonize other sources such as automotive and heating by enabling a low-carbon alternative. Carbon taxes have been shown to be an efficient way to aid in this transition. In this paper, we demonstrate how to to find optimal carbon tax policies through a genetic algorithm approach, using the electricity market agent-based model ElecSim. To achieve this, we use the NSGA-II genetic algorithm to minimize average electricity price and relative carbon intensity of the electricity mix. We demonstrate that it is possible to find a range of carbon taxes to suit differing objectives. Our results show that we are able to minimize electricity cost to below \textsterling10/MWh as well as carbon intensity to zero in every case. In terms of the optimal carbon tax strategy, we found that an increasing strategy between 2020 and 2035 was preferable. Each of the Pareto-front optimal tax strategies are at least above \textsterling81/tCO2 for every year. The mean carbon tax strategy was \textsterling240/tCO2.Comment: Accepted at The Eleventh ACM International Conference on Future Energy Systems (e-Energy'20) AMLIES Worksho
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