By Tobias Wittmann
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Additional info for Agent-Based Models of Energy Investment Decisions
Regulations are exogenously supplied and cannot be altered endogenously. 5 Discussion The assumptions introduced so far enable us to build a computational model exploring the future evolution of urban energy systems in deregulated market environments. 5 Discussion 29 that enables the actual structure of energy supply systems, their current operation, and their future development to be modeled. It places agents that utilize local profit maximization routines together with agents that exhibit bounded rationality into a complex setting which itself is characterized by a range of interdependencies arising from the technical system and from market interactions.
In contrast to the previous strategies, WADD is a compensatory strategy. It allows for a good value on one goal to compensate for a poor value on another. This tradeoff process confronts conflicting goals by introducing weighing factors. g. find_all, find_common, find_by_aspects). Combining WADD with the find_all search rule will model the greatest degree of rationality. 1 Introductory Remarks The decision model draws on the ideas of Gigerenzer and Selten (2001). The model combines the decision rules and analysis tools introduced in the previous section to build agents representing different types of actors.
The control domains form a control domain graph which is operated sequentially. Each upstream control domain has to supply the downstream control domains with energy. Hence, the control domain graph is directed and acyclic in terms of demand transfer. Fig. 4. Example of a simplified control domain graph (cd: control domain) 16 I am thankful to Robbie Morrison for helpful discussions and for suggesting this term to me. 22 2 Model Design Assumption VI: The energy demand and the technology dispatch within downstream control domains is not affected by the energy demand and technology dispatch in upstream control domains in one time interval.