Scenarios
GAINS enables researchers, policymakers, and relevant stakeholders to (i) explore pre-defined scenarios or (ii) evaluate user-defined scenarios in order to gain valuable insights into storylines of human activities and emissions of air pollutants and greenhouse gases under certain assumptions on macroeconomic drivers, emission factors, and emission control legislation:
Evaluating Given Scenarios: By utilizing the online version of the GAINS model, you can explore pre-defined scenarios and obtain comprehensive evaluations. Whether you are interested in understanding the consequences of different energy or agricultural policies, analyzing the effects of technological advancements, or assessing the implications of regulatory measures, GAINS allows to simulate and assess the outcomes with precision.
Creating Custom Scenarios: One of the standout features of the GAINS model is its flexibility to accommodate the evaluation of user-defined scenarios. By leveraging the model’s customizable framework, new scenarios can be tailored to suit the user’s specific needs and evaluate the potential impact of targeted policy interventions. Doing so, the potential benefits and trade-offs associated with different policy options can be analyzed, thereby empowering policy experts to make informed decisions and drive meaningful change.
Data in GAINS are organized into scenarios, which consist of individual combinations of activity data, emission factors, unit costs, and emission control technologies. For more information about the components of a scenario refer to the Components page. To learn more about the data categories considered in GAINS and the underlying assumptions, visit the Data categories page. Finally, some of the most commonly used scenarios can be explored under the page Commonly used scenarios.
Scenarios in GAINS are typically grouped by projects. As a result, most users can only access publicly available scenarios and the ones they have created and own themselves.