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This study presents a novel comparative analysis on global energy scenarios in terms of main characteristics, scenario building frameworks and time frames. The study analyzes each energy scenario's outputs and outlooks by 2040 such as gross domestic product growth, technology developments, primary energy demand by sector, energy supply by fuel, energy intensity and carbon emissions. Based on the foresight semiquantitative method, global energy driving forces which play significant roles in reshaping the world energy future by 2040 have been identified. The study applies mathematical principles to quantify the rational judgments of an expert panel in social, technological, economic, environmental and political framework through cross-impact analysis. Among the 10 global energy driving forces by 2040, population growth rate and climate change are identified as social and environmental driving forces, respectively. Investment in infrastructures, financial shocks, consumer behavior and energy efficiency are marked as economic driving forces, while global governance and geopolitical relationships are identified as the global energy market's political driving force. And finally, technological development in renewable energies as well as in oil and gas upstream sector is recognized as a technological driving force.

Widespread use of promising solar energy is an integral attribute of governments toward global efforts in mitigating future emission and reducing the fossil fuel consumption trajectory. However, the outlook of solar energy development at the strategic level is driven by inherent uncertainties in a long-term perspective. As these unpredictable volatilities come into play, they heavily influence the future trends formed by a range of exogenous and endogenous factors including Political, Economic, Social, Technological, Environmental, and Legal (PESTEL). This study aimed at identifying, characterizing, and analyzing influential PESTEL factors shaping the dynamics of Solar Photovoltaics (SPV) in an uncertain environment. For this purpose, the Fuzzy Cognitive Mapping (FCM) method was employed for the case of Iran to investigate how involved factors dynamically interact and collectively behave in the system. A participatory stepwise framework was developed consisting of three steps by conducting a survey and two workshops with the participation of multidisciplinary stakeholders. Aa a result, a semi-quantitative model was formed in an integrated FCM comprising 31interwoven concepts. To further outline possible future trends, five key concepts were determined that explored four plausible projections of Iran's SPV sector. The scenario outcome suggests that the industry is profoundly affected by external economic and political factors. Two scenarios "Cornered in a Dead-End" and "At Wits' End" project that, by 2030, the sector experiences a declining growth trend. "The Period of Tolerance" scenario does not envisage a dramatic change from the current trajectory, while in only "Blue Sky" the country's SPV sector anticipate a moderate growth.

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