Research models

Model Used in the project

Model family for investigating future transformation scenarios for energetic biomass usage in the transport, power and heat sectors.
Meilensteine 2030

EMSimulator replicates the strategic bidding behavior of power generation companies (GenCos) in a trading floor (e.g., day-ahead market) and compares the outcomes with game-theoretical models.
HILCSA - Holistic and Integrated Life Cycle Sustainability Assessment

HILCSA in its current version 2.1 offers a holistic and integrated sustainability analysis and assessment of production and consumption systems. This interdisciplinary method based on the LCA approach (life cycle analysis) provides a modelling, analyzez and evaluation of social, ecological and economic impacts of economic processes using around 100 indicators and their aggregation to the SDGs.
RELCA V.1 - LCA for Regional Bioenergy systems

RELCA V.1 provides the framework for a hybrid LCI of bioenergy conversion systems within a regional case study area, in order, as a first step to conduct a retrospective LCA to investigate the status quo of the potential environmental implications for the regional production of different energy products.
RESPONSA - a REgional SPecific cONtextualised Social life cycle Assessment

RESPONSA is an social Life Cycle Assessment approach that evaluates through social indicators, socio-economic effects of products on stakeholders along the life cycle.
SUMINISTRO – Sustainability monitoring Index for assessing regional bio-based industry networks

In order to support the implementation planning of industry networks with regard to the deployment of future-oriented solutions from R&D activities and technological upscaling, approaches of managerial decision modelling, material flows analysis and Life Cycle Sustainability Assessment (LCSA) are integrated into a procedure for Multi-Criteria-Decision Analysis of future process chain integration options.
VAREO (VAriable Renewable Energy Optimization)

The VAREO approach considers basic characteristics of future power systems that largely depend on vRES and aims at identifying solutions in mitigating the enormous technical challenges ahead.