article · Energy Procedia
This research presents a taxonomic analysis of system dynamics approaches for modelling and simulating energy policies. Energy systems are inherently complex, characterised by dynamic uncertainties, non-linear relationships, time lags, and interactive feedback loops. These complexities necessitate robust systems analysis methods for developing and evaluating energy policies at both tactical and strategic levels. The work outlines the dynamic complexities found in energy systems, conducts a taxonomic analysis of energy policy formulation problems based on existing literature, and provides a causal loop analysis of the generic structures within these identified problems. The archetypes developed offer a valuable foundation for system dynamics simulations in energy policy modelling.
Understanding the complex and dynamic nature of energy systems is crucial for effective policy-making. This research provides a structured way to analyse these complexities, offering tools and frameworks that can help policy makers design more robust and effective energy strategies.
This research provides a methodological framework for policy analysts and energy planners to better understand and model complex energy systems. It offers a platform for system dynamics simulation, which could be used by government bodies or energy consultancies to evaluate policy impacts. This is early-stage research focused on methodological development for policy support.
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Energy systems are complex dynamic systems that are often associated with uncertain system behavior. System behavior is influenced by several dynamic uncertainties, nonlinear relationships between system variables, time lags, and interactive feedback loops that are inherent in the energy system. In turn, these complexities are a result of the underlying structures of energy systems. Under this climate, it is essential to develop systems analysis approaches that can be used for development and evaluation of energy system policies, both at tactical and strategic levels. The purpose of this research is to present a taxonomic analysis of system dynamics approaches to energy policy modelling and simulation. First, we present an outline of dynamic complexities prevalent in energy systems. Second, we make a taxonomic analysis of energy policy formulation problems, learning from the literature. Third, we provide a causal loop analysis of the generic structures of the identified energy formulation problems. The archetypes presented form a valuable platform for system dynamics simulation of energy policy modelling and simulation.
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DOI: 10.1016/j.egypro.2017.11.071
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