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Exploring Low-Carbon Futures: A Web Service Approach to Linking Diverse Climate-Energy-Economy Models

Author

Listed:
  • Getachew F. Belete

    (University of Twente, 7522 NB Enschede, The Netherlands)

  • Alexey Voinov

    (University of Twente, 7522 NB Enschede, The Netherlands
    PERSWADE Center, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Iñaki Arto

    (Basque Centre for Climate Change, 48940 Leioa, Bizkaia, Spain)

  • Kishore Dhavala

    (Basque Centre for Climate Change, 48940 Leioa, Bizkaia, Spain
    Nalanda University, Rajgir, Bihar 803116, India)

  • Tatyana Bulavskaya

    (Districon, 3603 AW Maarssen, The Netherlands)

  • Leila Niamir

    (University of Twente, 7522 NB Enschede, The Netherlands)

  • Saeed Moghayer

    (Wageningen University & Research, WECR, 6700 AA Wageningen, The Netherlands)

  • Tatiana Filatova

    (University of Twente, 7522 NB Enschede, The Netherlands
    PERSWADE Center, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia)

Abstract

The use of simulation models is essential when exploring transitions to low-carbon futures and climate change mitigation and adaptation policies. There are many models developed to understand socio-environmental processes and interactions, and analyze alternative scenarios, but hardly one single model can serve all the needs. There is much expectation in climate-energy research that constructing new purposeful models out of existing models used as building blocks can meet particular needs of research and policy analysis. Integration of existing models, however, implies sophisticated coordination of inputs and outputs across different scales, definitions, data and software. This paper presents an online integration platform which links various independent models to enhance their scope and functionality. We illustrate the functionality of this web platform using several simulation models developed as standalone tools for analyzing energy, climate and economy dynamics. The models differ in levels of complexity, assumptions, modeling paradigms and programming languages, and operate at different temporal and spatial scales, from individual to global. To illustrate the integration process and the internal details of our integration framework we link an Integrated Assessment Model (GCAM), a Computable General Equilibrium model (EXIOMOD), and an Agent Based Model (BENCH). This toolkit is generic for similar integrated modeling studies. It still requires extensive pre-integration assessment to identify the ‘appropriate’ models and links between them. After that, using the web service approach we can streamline module coupling, enabling interoperability between different systems and providing open access to information for a wider community of users.

Suggested Citation

  • Getachew F. Belete & Alexey Voinov & Iñaki Arto & Kishore Dhavala & Tatyana Bulavskaya & Leila Niamir & Saeed Moghayer & Tatiana Filatova, 2019. "Exploring Low-Carbon Futures: A Web Service Approach to Linking Diverse Climate-Energy-Economy Models," Energies, MDPI, vol. 12(15), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2880-:d:251923
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    References listed on IDEAS

    as
    1. Frank W. Geels & Frans Berkhout & Detlef P. van Vuuren, 2016. "Bridging analytical approaches for low-carbon transitions," Nature Climate Change, Nature, vol. 6(6), pages 576-583, June.
    2. Helgesen, Per Ivar & Tomasgard, Asgeir, 2018. "From linking to integration of energy system models and computational general equilibrium models – Effects on equilibria and convergence," Energy, Elsevier, vol. 159(C), pages 1218-1233.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Lara Aleluia Reis & Laurent Drouet & Rita Van Dingenen & Johannes Emmerling, 2018. "Future Global Air Quality Indices under Different Socioeconomic and Climate Assumptions," Sustainability, MDPI, vol. 10(10), pages 1-27, October.
    5. Gillingham, Kenneth & Newell, Richard G. & Pizer, William A., 2008. "Modeling endogenous technological change for climate policy analysis," Energy Economics, Elsevier, vol. 30(6), pages 2734-2753, November.
    6. Haris Doukas & Alexandros Nikas & Mikel González-Eguino & Iñaki Arto & Annela Anger-Kraavi, 2018. "From Integrated to Integrative: Delivering on the Paris Agreement," Sustainability, MDPI, vol. 10(7), pages 1-10, July.
    7. Santosh R. Joshi & Marc Vielle & Frédéric Babonneau & Neil R. Edwards & Philip B. Holden, 2016. "Physical and Economic Consequences of Sea-Level Rise: A Coupled GIS and CGE Analysis Under Uncertainties," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 813-839, December.
    8. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    9. Grimm, Volker & Augusiak, Jacqueline & Focks, Andreas & Frank, Béatrice M. & Gabsi, Faten & Johnston, Alice S.A. & Liu, Chun & Martin, Benjamin T. & Meli, Mattia & Radchuk, Viktoriia & Thorbek, Pernil, 2014. "Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE," Ecological Modelling, Elsevier, vol. 280(C), pages 129-139.
    10. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
    11. Stoorvogel, Jetse J., 1995. "Integration of computer-based models and tools to evaluate alternative land-use scenarios as part of an agricultural systems analysis," Agricultural Systems, Elsevier, vol. 49(4), pages 353-367.
    12. Agrawal, Nikhil & Ahiduzzaman, Md & Kumar, Amit, 2018. "The development of an integrated model for the assessment of water and GHG footprints for the power generation sector," Applied Energy, Elsevier, vol. 216(C), pages 558-575.
    13. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    14. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    15. Perera, A.T.D. & Coccolo, Silvia & Scartezzini, Jean-Louis & Mauree, Dasaraden, 2018. "Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling," Applied Energy, Elsevier, vol. 222(C), pages 847-860.
    16. John Weyant, 2017. "Some Contributions of Integrated Assessment Models of Global Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(1), pages 115-137.
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    Cited by:

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    2. Laura Torralba-Díaz & Christoph Schimeczek & Matthias Reeg & Georgios Savvidis & Marc Deissenroth-Uhrig & Felix Guthoff & Benjamin Fleischer & Kai Hufendiek, 2020. "Identification of the Efficiency Gap by Coupling a Fundamental Electricity Market Model and an Agent-Based Simulation Model," Energies, MDPI, vol. 13(15), pages 1-19, July.
    3. Leila Niamir & Gregor Kiesewetter & Fabian Wagner & Wolfgang Schöpp & Tatiana Filatova & Alexey Voinov & Hans Bressers, 2020. "Assessing the macroeconomic impacts of individual behavioral changes on carbon emissions," Climatic Change, Springer, vol. 158(2), pages 141-160, January.

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