Modeling methodologies of synergic effects related to climate change and sustainable energy management

Abstract

The main aim of the present article is to highlight the synergic effects related to climate change and sustainable energy management. Due to our model and given methodology it is possible to examine the relations between the terms mentioned above. In our Knowledge Attributed Petri Net based simulation model the most significant elements are highlighted in question of integrating Cellular Neural Networks and Fuzzy Systems into an object oriented formal description. This methodology implies the importance of holistic approach - namely the usage of predefined risk categories, spreading of causes and effects in physical space - that is crucial in these investigations. Only marginal attention is paid to the synergic effects related to adaptation and mitigation efforts according to climate change. Taking every result into account, this methodologically complex subject is possible to examine from the point of sustainability.