Geldermann, Jutta

[["dc.bibliographiccitation.firstpage","12"],["dc.bibliographiccitation.journal","Computers & Industrial Engineering"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","124"],["dc.contributor.author","Lauven, Lars-Peter"],["dc.contributor.author","Karschin, Ingo"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2020-12-10T14:23:06Z"],["dc.date.available","2020-12-10T14:23:06Z"],["dc.date.issued","2018"],["dc.description.abstract","Advanced biomass conversion plants can replace fossil resources in the electricity, heat, transportation fuels and chemicals sectors, but they face specific challenges with regard to their economic operation. When choosing a capacity for a biomass conversion plant, economies of scale must be weighed against the transportation costs for the widely-distributed input materials.\r\n\r\nHere, we model the problem of determining the optimal capacity for plants with a single product or a fixed set of products using a single optimization variable and two alternative economic objective functions. To identify the factors that most strongly influence economic plant operation, we perform a sensitivity analysis of various model parameters to determine their impact on the optimal solution using the Envelope Theorem. We also present an optimization approach for simultaneously planning the capacity and configuration of multi-product plants. By modeling economies of scale on a process-specific level, our nonlinear optimization approach makes it possible to determine the optimal configurations, and thus ranges of products, for changing plant capacities. An examination of the obtained feasible solutions shows that the optimization problem is neither convex nor concave."],["dc.identifier.doi","10.1016/j.cie.2018.07.014"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71835"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Professur für Produktion und Logistik"],["dc.rights","CC BY-NC-ND 4.0"],["dc.title","Simultaneously optimizing the capacity and configuration of biorefineries"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","submitted_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","305"],["dc.bibliographiccitation.journal","Journal of Cleaner Production"],["dc.bibliographiccitation.lastpage","314"],["dc.bibliographiccitation.volume","104"],["dc.contributor.author","Karschin, Ingo"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2018-11-07T09:51:26Z"],["dc.date.available","2018-11-07T09:51:26Z"],["dc.date.issued","2015"],["dc.description.abstract","The availability of renewable energy sources and highly efficient technologies are two major considerations when evaluating a sustainable energy supply with low carbon emission. Bioenergy villages combine the use of biomass as a renewable energy source with the efficient cogeneration of heat and power; The planning of these bioenergy villages using biomass as a source of electricity and heat calls for the simultaneous identification of facility location, capacity planning, and network design for the heating grid. A linear mathematical model is presented, that optimizes the local bioenergy production and distribution system and considers various parameters such as biomass availability, the number of heat customers, or heat loss in the system. The model is applied and validated using a case study in a small village in Lower Saxony (Germany). (C) 2015 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.jclepro.2015.03.086"],["dc.identifier.isi","000357552900030"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35914"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ltd"],["dc.relation.issn","1879-1786"],["dc.relation.issn","0959-6526"],["dc.title","Efficient cogeneration and district heating systems in bioenergy villages: an optimization approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","62"],["dc.bibliographiccitation.journal","International Journal of Production Economics"],["dc.bibliographiccitation.lastpage","72"],["dc.bibliographiccitation.volume","147"],["dc.contributor.author","Uhlemair, Harald"],["dc.contributor.author","Karschin, Ingo"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2018-11-07T09:46:53Z"],["dc.date.available","2018-11-07T09:46:53Z"],["dc.date.issued","2014"],["dc.description.abstract","In bioenergy villages, local bioenergy plants are installed to supply electricity, which is fed into the national grid, and to heat households through a local heat distribution network. In this paper, a linear mathematical model, which economically optimizes local bioenergy production and distribution systems based on a given set of system components, is presented. The model simultaneously determines the optimal capacity of the system, the objects that should be connected to the heating network and the course of the network. Additionally, a combined heat and power (CHP) biogas plant builds the production system. The problem is modeled as a mixed integer linear program (MILP) and is applied to a village with n potential heat customers. This model offers the possibility of economically assessing various scenarios concerning different planning situations and optimizing the capacity planning for the biogas plant and the course of the district heating network. (C) 2012 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ijpe.2012.10.003"],["dc.identifier.isi","000329880100009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34986"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.publisher.place","Amsterdam"],["dc.relation.conference","21st Conference on Production Research"],["dc.relation.eventlocation","Stuttgart, GERMANY"],["dc.relation.issn","1873-7579"],["dc.relation.issn","0925-5273"],["dc.title","Optimizing the production and distribution system of bioenergy villages"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]