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Agent-Based Models of Energy Investment Decisions

By: Wittmann, Tobias [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Sustainability and Innovation: Publisher: Heidelberg : Physica-Verlag HD, 2008.Description: XIV, 113 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783790820041.Subject(s): Engineering | Energy policy | Energy and state | Energy systems | Regional planning | Urban planning | Electric power production | Climate change | Environmental economics | Engineering | Energy Technology | Environmental Economics | Climate Change | Energy Policy, Economics and Management | Landscape/Regional and Urban Planning | Energy SystemsDDC classification: 621.042 Online resources: Click here to access online
Contents:
Drivers of Change and Energy Models -- Model Design -- Private Actor Model -- Commercial Actor Model -- Conclusions.
In: Springer eBooksSummary: This book demonstrates how bounded rational decision models can be standardized and parameterized by socio-economic data. Focusing on private energy technology investment decisions, the author shows how different representative agents can be constructed using search rules, analysis tools and decision strategies. Diffusion curves for energy technologies such as solar collectors, boilers and efficiency upgrades for buildings are calculated. Further, the model is extended to study the impact of firms’ competition on technology diffusion. The modeling approach presented in this book may serve as a template for applications in other domain.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBK943
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Drivers of Change and Energy Models -- Model Design -- Private Actor Model -- Commercial Actor Model -- Conclusions.

This book demonstrates how bounded rational decision models can be standardized and parameterized by socio-economic data. Focusing on private energy technology investment decisions, the author shows how different representative agents can be constructed using search rules, analysis tools and decision strategies. Diffusion curves for energy technologies such as solar collectors, boilers and efficiency upgrades for buildings are calculated. Further, the model is extended to study the impact of firms’ competition on technology diffusion. The modeling approach presented in this book may serve as a template for applications in other domain.

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