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  1. The WITCH 2016 model
    documentation and implementation of the shared socioeconomic pathways
    Autor*in: Emmerling, Johannes; Drouet, Laurent; Reis, Lara Aleluia; Bevione, Michela; Berger, Loic; Bosetti, Valentina; Carrara, Samuel; De Cian, Enrica; De Maere d'Aertrycke, Gauthier; Longden, Tom; Malpede, Maurizio; Marangoni, Giacomo; Sferra, Fabio; Tavoni, Massimo; Witajewski-Baltvilks, Jan; Havlik, Petr
    Erschienen: June 17, 2016
    Verlag:  Fondazione Eni Enrico Mattei, Milano

    This paper describes the WITCH - World Induced Technical Change Hybrid - model in its structure, calibration, and the implementation of the SSP/RCP scenario implementation. The WITCH model is a regionally disaggregated hard-linked model based on a... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 125 (42)
    Fernleihe:
    keine Fernleihe

     

    This paper describes the WITCH - World Induced Technical Change Hybrid - model in its structure, calibration, and the implementation of the SSP/RCP scenario implementation. The WITCH model is a regionally disaggregated hard-linked model based on a Ramsey type optimal growth model and a detailed bottom-up energy sector model. A particular focus of the model is the modeling or technical change and RnD investments and the analysis of cooperative and non-cooperative climate policies. Moreover, the WITCH 2016 version now includes land-use change modeling based on the GLOBIOM model, and air pollutants, as well as detailed modeling of the transport sector and the possibility for stochastic modeling. This version has been also used to implement the Shared Socioeconomic Pathways (SSPs) set of scenarios and RCP based climate policies to provide a new set of climate scenarios. In this paper, we describe in detail the mathematical formulation of the WITCH model, the solution method and calibration, as well as the implementation of the five SSP scenarios. This report therefore provides detailed information for interested users of the model, and for understanding the implementation of the different "worlds" of the SSP.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/142316
    Schriftenreihe: Array ; 2016, 42
    Umfang: 1 Online-Ressource (circa 65 Seiten), Illustrationen
  2. Integration of power generation capacity expansion in an applied general equilibrium model
    Autor*in: De Maere d'Aertrycke, Gauthier; Durand-Lasserve, Olivier; Schudel, Marco
    Erschienen: 2014
    Verlag:  Fondazione Eni Enrico Mattei, Milano

    This paper presents a version of a hybrid (top-down bottom-up), multi-region multi-period forward looking applied general equilibrium model, MERGE, that includes a capacity expansion submodel of the electricity sector with demand represented by... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 125 (2014,71)
    Fernleihe:
    keine Fernleihe

     

    This paper presents a version of a hybrid (top-down bottom-up), multi-region multi-period forward looking applied general equilibrium model, MERGE, that includes a capacity expansion submodel of the electricity sector with demand represented by various time segments. This model is solved numerically using the decomposition method proposed by Bohringer and Rutherford (2006). In the decomposition, the bottom-up (energy) submodel of MERGE is embedded in a quadratically constrained program (QCP) that maximizes a welfare function calibrated on a linear approximation, around a benchmark point, of aggregated energy and capital demand . This latter is provided by constraining energy supply in a nonlinear programming problem (NLP) that essentially contains the MERGE top-down (macro) submodel. The method is illustrated with a simulation that provides projections of load duration curves and hours of activity of various electricity technologies.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/107715
    Schriftenreihe: Array ; 71.2014
    Umfang: Online-Ressource (23 S.), graph. Darst.
  3. Optimal clean energy R&D investments under uncertainty
    Autor*in: Marangoni, Giacomo; De Maere d'Aertrycke, Gauthier; Bosetti, Valentina
    Erschienen: March 15, 2017
    Verlag:  Fondazione Eni Enrico Mattei, Milano

    The availability of technology plays a major role in the feasibility and costs of climate policy. Nonetheless, technological change is highly uncertain and capital intensive, requiring risky efforts in research and development of clean energy... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 125 (16)
    Fernleihe:
    keine Fernleihe

     

    The availability of technology plays a major role in the feasibility and costs of climate policy. Nonetheless, technological change is highly uncertain and capital intensive, requiring risky efforts in research and development of clean energy technologies. In this paper, we introduce a two-track method that makes it possible to maintain the rich set of information produced by climate-economy models while introducing the dimension of uncertainty in innovation ef- forts, without succumbing to computation complexity. In particular, we solve the problem of an optimal R&D portfolio by employing Approximate Dynamic Programming, through multiple runs of an integrated assessment model (IAM) for the purpose of computing the value function, and expert elicitation data to quantify the relevant uncertainties. We exemplify the methodology with the problem of evaluating optimal near-term innovation investment portfolios in four key clean energy technologies (solar, biofuels, bioelectricity and personal electric vehicle batteries), taking into account the uncertainty surrounding the effectiveness of innovation to improve the performance of these technologies. We employ an IAM (WITCH) which has a fairly rich description of the energy technologies and experts' beliefs on future costs for the above-mentioned technologies. Focusing on Europe and its short-term climate policy commitments, we find that batteries in personal transportation dominate the optimal public R&D portfolio. The resulting ranking across technologies is robust to changes in risk-aversion, R&D budget limitation and assump- tions on crowding out of other investments. These results suggest an important upscaling of R&D efforts compared to the recent past.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/162258
    Schriftenreihe: Array ; 2017, 16
    Umfang: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  4. Optimal investment and the ambiguous aggregation of expert opinions
    Autor*in: Athanassoglou, Stergios; Bosetti, Valentina; De Maere d'Aertrycke, Gauthier
    Erschienen: [2012]
    Verlag:  IGIER, Università Bocconi, Milano, Italy

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    keine Fernleihe
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Auflage/Ausgabe: This version: August, 2012
    Schriftenreihe: Working paper series / IGIER ; n. 468
    Schlagworte: expert aggregation; ambiguity; α-maxmin; second-order cone programming; renewable energy R&D
    Umfang: 1 Online-Ressource (circa 41 Seiten), Illustrationen
    Bemerkung(en):

    Richtiger Name des 3. Verfassers: Gauthier de Maere d'Aertrycke
  5. The valuation of power futures based on optimal dispatch
    Autor*in: De Maere d'Aertrycke, Gauthier; Smeers, Yves
    Erschienen: 2009
    Verlag:  CORE, Louvain-la-Neuve

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    W 159 (2009.14)
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    Schriftenreihe: CORE discussion paper ; 2009,14
    Schlagworte: Warenbörse; Elektrizität; Derivat; Theorie; Deutschland
    Umfang: 20 S., graph. Darst.
  6. Liquidity risks on power exchanges
    Autor*in: De Maere d'Aertrycke, Gauthier; Smeers, Yves
    Erschienen: 2010
    Verlag:  CORE, Louvain-la-Neuve

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    VS 203 (2010,5)
    Fernleihe:
    keine Fernleihe
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 2078.1/29224
    Schriftenreihe: CORE discussion paper ; 2010,5
    Schlagworte: Energiehandel; Elektrizität; Derivat; Marktliquidität; Nash-Gleichgewicht; Mathematische Optimierung
    Umfang: Online-Ressource (32 S.), graph. Darst.