Dynamic Allocation of a Domestic Heating Task to Gas-Based and Heatpump-Based Heating Agents

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this paper a multi-agent model for a domestic heating task is introduced and analysed. The model includes two alternative heating agents (for gas-based heating and for heatpump-based heating), and a third allocation agent which determines the most economic allocation of the heating task to these heating agents over the days in a year. For allocation decisions it is analysed how the performance of a heatpump depends on the outdoor temperature. One method discussed is a what-if analysis method using agent-based simulation, another method is by mathematical analysis to derive more precise knowledge about the most optimal allocation choice. These methods can be used by the allocation agent to determine in a dynamic, adaptive manner per day a most economic allocation, depending on the (predicted) outdoor temperature.
Original languageEnglish
Pages (from-to)386-399
Number of pages14
JournalLecture Notes in Computer Science
Volume8076
DOIs
Publication statusPublished - 2013

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Heating
Gases
Economics
Multi-agent Model
Adaptive Dynamics
Agent-based Simulation
Optimal Allocation
Mathematical Analysis
Simulation Methods
Gas
Temperature
Alternatives

Bibliographical note

Proceedings title: Proceedings of the Second International Workshop on Smart Energy Networks and Multi-Agent Systems, SEN-MAS'13
Publisher: Springer Verlag
Editors: M. Klusch, M. Thimm, M. Paprzycki

Cite this

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abstract = "In this paper a multi-agent model for a domestic heating task is introduced and analysed. The model includes two alternative heating agents (for gas-based heating and for heatpump-based heating), and a third allocation agent which determines the most economic allocation of the heating task to these heating agents over the days in a year. For allocation decisions it is analysed how the performance of a heatpump depends on the outdoor temperature. One method discussed is a what-if analysis method using agent-based simulation, another method is by mathematical analysis to derive more precise knowledge about the most optimal allocation choice. These methods can be used by the allocation agent to determine in a dynamic, adaptive manner per day a most economic allocation, depending on the (predicted) outdoor temperature.",
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Dynamic Allocation of a Domestic Heating Task to Gas-Based and Heatpump-Based Heating Agents. / Treur, J.

In: Lecture Notes in Computer Science, Vol. 8076, 2013, p. 386-399.

Research output: Contribution to JournalArticleAcademicpeer-review

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