Creating agent-based energy transition management models that can uncover profitable pathways to climate change mitigation
| Autor: | M Maarten Steinbuch, Auke Hoekstra, Gpj Geert Verbong |
|---|---|
| Přispěvatelé: | Technology, Innovation & Society, Control Systems Technology |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Sociotechnical system
General Computer Science Computer science 020209 energy Climate change 02 engineering and technology Energy transition lcsh:QA75.5-76.95 Transition management (governance) 0502 economics and business 0202 electrical engineering electronic engineering information engineering SDG 13 - Climate Action Disruptive innovation SDG 7 - Affordable and Clean Energy 050207 economics Discrete event simulation Multidisciplinary business.industry SDG 13 – Klimaatactie Social cost 05 social sciences Fossil fuel Climate change mitigation Risk analysis (engineering) lcsh:Electronic computers. Computer science business SDG 7 – Betaalbare en schone energie |
| Zdroj: | Complexity, 2017:1967645. Hindawi Publishing Corporation Complexity, Vol 2017 (2017) |
| ISSN: | 1076-2787 |
| Popis: | The energy domain is still dominated by equilibrium models that underestimate both the dangers and opportunities related to climate change. In reality, climate and energy systems contain tipping points, feedback loops, and exponential developments. This paper describes how to create realistic energy transition management models: quantitative models that can discover profitable pathways from fossil fuels to renewable energy. We review the literature regarding agent-based economics, disruptive innovation, and transition management and determine the following requirements. Actors must be detailed, heterogeneous, interacting, learning, and strategizing. Technology should be represented as a detailed and heterogeneous portfolio that can develop in a bottom-up manner, using endogenous feedback loops. Assumptions about discount rates and the social cost of carbon should be configurable. The model should contain interactions between the global, national, local, and individual level. A review of modelling techniques shows that equilibrium models are unsuitable and that system dynamics and discrete event simulation are too limited. The agent-based approach is found to be uniquely suited for the complex adaptive sociotechnical systems that must be modelled. But the choice for agent-based models does not mean a rejection of other approaches because they can be accommodated within the agent-based framework. We conclude with practical guidelines. |
| Databáze: | OpenAIRE |
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