The below model demonstrates the causes and impacts between factors that affect transition to smart local energy systems. The factors information is integrating and aggregating from the case studies of Bristol city, ESO and Reflext.
This model is to be used as an exploration tool to build a better understanding of impact propagation and co-dependencies. It is not for quantification of any kind.
Press Remix then Play to exercise the below model by
increasing/decreasing impact of various factors through arrows in cycled factors
Note: this is only a partial model: only partial information from 3 case studies is integrated to allow for readable presentation and exploration. Thus, it is both:
- limited to inputs provided by the qualitative study participants;
- limited to the circumstances of the case studies itself.
- It is underspecified in terms of the magnitudes of change, as well as in terms of elements and links between them. For example, when multiple loops execute simultaneously, only the length of the link between nodes shows which loop will eventually dominate, which, clearly is not any reflection of reality.