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Agent-based Dynamic Model of human energy consumption behaviours for optimization of energy systems

Melli, Allegra (2023) Agent-based Dynamic Model of human energy consumption behaviours for optimization of energy systems. Integration Project, Industrial Engineering and Management.

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Abstract

With the recent publication of the Intergovernmental Panel on Climate Change (IPCC) report, it comes as no surprise that the environmental crisis is becoming a more prominent issue with the advance of time. After the establishment of international agreements to regulate climate change and stop global warming according to the Paris Climate Accords in 2015, countries worldwide have been investigating alternative methods to reduce their greenhouse gas emissions. As more than two thirds of the greenhouse gas emissions are originating from energy production and consumption, improvements in that sector are sought. This research project focuses on the behavioural aspect of environmental science for the optimisation of energy consumption of energy grids. The final goal is the design of an agent-based dynamic model incorporating human behaviour and norms from an environmental psychology point of view for the optimization of energy systems. Therefore, this research project revolves around the study and extension of existing behaviour models to understand the social requirements for the adoption of a certain behaviour with the goal of optimising energy systems.

Item Type: Thesis (Integration Project)
Supervisor name: Ahmed, S. and Novoradovskaya, E.
Degree programme: Industrial Engineering and Management
Thesis type: Integration Project
Language: English
Date Deposited: 20 Jul 2023 10:53
Last Modified: 20 Jul 2023 10:53
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/30812

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