Linking qualitative scenarios with quantitative energy models: knowledge integration in different methodological designs

Abstract Background Linking qualitative scenarios with quantitative models is a common approach to integrate assumptions on possible future societal contexts into modeling. But reflection how and what degree knowledge effectively integrated during this endeavor does not generally take place. In paper, we reflect the performance of specific hybrid scenario (qualitative Cross-Impact Balance analysis, CIB, linked energy models) concerning integration through 11 different process steps. order guide community in applying approach, general methodological features as well design options. We conceptualize forms interdisciplinary (compiling, combining synthesizing) analyze about society uncertainty are products. addition, discuss trade-offs regarding choices integration. Results On basis three case studies, identify two designs linking which build each other (basic extended design) differ essence balance power between CIB Ex post assessment form step revealed that method properties interaction additional methods foster distinct The roles assigned can also influence Conclusions study, use joint scheme context By our conceptualization designs’ respective potential for effects Consequently, findings give guidance those who designing their own processes. As an explorative it would be useful further test hypotheses designs. Finally, note at some points more precise differentiation have been propose differentiate detail them research.