Optimal location for algae production

Ellen contributed in the development of the BeWhere model by including the production of algae. Sea water and CO₂ emissions from electrical power plants are the resources used for algae production. The study is focused on the comparisons for the optimal location of algae based biofuel production plants between Benelux, South of France and North Africa.

Contact Ellen

Forestry market in Sweden

Anna developped a partial equilibrium model that determines the optimal distribution of forestry wood resources between the different woody based industries. The output from her model, (i.e. amount of biofuel that can be produced) will be used as input into the BeWhere model applied for Sweden.

Contact Anna

Development of BeWhere Wind for Austria

Viktoria developped the BeWhere model applied for wind turbines for Austria. Based on a GIS modeling, on a 100*100 m² grid, Viktoria determined the levelized cost of electricity generated from the wind turbines at different optimal locations.

Contact Viktoria

Development of BeWhere Europe

Elisabeth contributed in the development of the BeWhere model at the European level. Forest biomass and lignocellulosic waste were used as feedstock, and the loacation of both ethanol and Fishcer-Tropsh diesel production plants were determined regarding heat and electricity demand, price, and carbon cost. [Read more]

Elisabeth received the Mikhalevich Award for her outstanding work during the YSSP.

Contact Elisabeth

Bioenergy Production Potential in the Forest Market of Southeastern US

Yun studied the biofuel production potential from the pulp and paper mills. She included into the BeWhere model the possibility to produce biofuel from the pulp and paper mills or and from new second generation biofuel production plants. She applied the model for the Southeastern US.

Contact Yun

Development of BeWhere by including the Use of Waste Process Heat

Johannes contributed in developing the BeWhere model to consider waste heat utilization for district heating. He built up a geographical database of heating demand in Austria and integrated the heat demand and heating infrastructure costs. The heat demand was estimated applying a bottom up approach, combining data on dwelling areas with average consumption quantitites.

Contact Johannes