SCCER BIOSWEET – BIOmass for SWiss EnErgy Future

Source: : Innosuisse,  Swiss Innovation Agency


Duration: 2017 – 2020 (48 months)

External website:


Following the anticipated successful completion of Phase I, the SCCER BIOSWEET is committed to its vision that sustainable biomass can contribute to achieving the objectives of the Swiss Energy Strategy 2050 with an estimated “100 PJ” consumption of final energy from biomass, which would represent more than twice as much as today. The SCCER BIOSWEET develops and implements biomass valorization technologies to make the Swiss energy turnaround happen. While Phase I had a strong focus on research and development, the work structure of the SCCER BIOSWEET for Phase II is re-organised to focus on Knowledge and Technology Transfer (KTT) of the most promising technologies for biomass conversion, considering the potential impact to the energy transition. The objective to achieve concrete utilisation of biomass by the private sector and benefit Swiss SMEs, larger industries and utilities in the short to medium term.

On the one hand, the technological goal is to exploit biomass resources to the highest sustainable extent. This is pursued by pushing the conversion and efficiency limits of existing bioenergy technologies, by improving the feedstock utilization, by creating new and innovative biomass value chains, and by designing better integrated energy systems. On the other hand, the SCCER BIOSWEET reaches out to promote alternative energy carriers for e.g. mobility or heat and power applications and it offers knowledge to support the energy policy and market development.


© M. Kermani, SETAC Europe 2015

Contact person: Theodoros Damartzis (

Publication List:

M. Bagnoud-Velásquez; E. Damergi; G. Peng; F. Vogel; C. Ludwig : Fate and reuse of nitrogen-containing organics from the hydrothermal conversion of algal biomass; Algal Research. 2018-04-21. DOI : 10.1016/j.algal.2018.04.005.
V. Codina Gironès; E. Peduzzi; F. Vuille; F. Maréchal : On the Assessment of the CO2 Mitigation Potential of Woody Biomass; Frontiers in Energy Research | Bioenergy and Biofuels. 2018-01-24. DOI : 10.3389/fenrg.2017.00037.
M. A. Vigot; T. Damartzis; F. Maréchal : Thermoeconomic design of biomass biochemical conversion technologies for advanced fuel, heat and power production; Computer Aided Chemical Engineering. 2018. DOI : 10.1016/B978-0-444-64241-7.50295-0.
G. A. Chomette; T. Damartzis; F. Maréchal : Optimal design of biogas supply chains; ESCAPE 28; Elsevier B.V., 2018-01. p. 669-674.
E. Peduzzi; G. Boissonnet; G. Haarlemmer; F. Marechal : Thermo-economic analysis and multi-objective optimisation of lignocellulosic biomass conversion to Fischer-Tropsch fuels; Sustainable Energy & Fuels. 2018. DOI : 10.1039/C7SE00468K.
E. Damergi; J.-P. Schwitzguébel; D. Refardt; S. Sharma; C. Holliger et al. : Extraction of carotenoids from Chlorella vulgaris using green solvents and syngas production from residual biomass; Algal Research. 2017. DOI : 10.1016/j.algal.2017.05.003.
V. Codina Gironès; S. Moret; E. Peduzzi; M. Nasato; F. Maréchal : Optimal use of biomass in large-scale energy systems: insights for energy policy; Energy. 2017. DOI : 10.1016/
S. Moret; E. Peduzzi; L. Gerber; F. Maréchal : Integration of deep geothermal energy and woody biomass conversion pathways in urban systems; Energy Conversion and Management. 2016. DOI : 10.1016/j.enconman.2016.09.079.
V. Codina Gironès; S. Moret; E. Peduzzi; M. Nasato; F. Maréchal : Optimal use of biomass in large-scale energy systems: insights for energy policy. 2016. The 29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Portoroz, Slovenia, June 19-23, 2016. DOI : 10.1016/
E. Peduzzi; G. Boissonnet; F. Maréchal : Biomass Modelling: estimating thermodynamic properties from the elemental composition; Fuel. 2016. DOI : 10.1016/j.fuel.2016.04.111.
S. Fazlollahi; F. Maréchal : Multi-objective, multi-period optimization of biomass conversion technologies using evolutionary algorithms and mixed integer linear programming (MILP); Applied Thermal Engineering. 2013. DOI : 10.1016/j.applthermaleng.2011.11.035.