Lars-Peter Lauven

ORCID: 0000-0001-7209-7567
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About
Contact & Profiles
Research Areas
  • Biofuel production and bioconversion
  • Microbial Metabolic Engineering and Bioproduction
  • Smart Grid Energy Management
  • Environmental Impact and Sustainability
  • Maritime Ports and Logistics
  • Sustainable Supply Chain Management
  • Electric Power System Optimization
  • Forest Biomass Utilization and Management
  • Electric Vehicles and Infrastructure
  • Process Optimization and Integration
  • HVDC Systems and Fault Protection
  • Multi-Criteria Decision Making
  • Thermochemical Biomass Conversion Processes
  • Cassava research and cyanide
  • Biodiesel Production and Applications
  • Vehicle Routing Optimization Methods
  • Power System Reliability and Maintenance
  • Auction Theory and Applications
  • Bioeconomy and Sustainability Development
  • Law, logistics, and international trade
  • Optimal Power Flow Distribution
  • Energy Efficiency and Management
  • Forest Management and Policy
  • Advanced Battery Technologies Research
  • Railway Systems and Energy Efficiency

University of Kassel
2019-2021

University of Göttingen
2014-2019

Publicly accessible, elaborated grid datasets, i.e., benchmark grids, are well suited to publish and compare methods or study results. Similarly, developing innovative tools algorithms in the fields of planning operation is based on datasets. Therefore, a general methodology generate datasets its voltage level dependent implementation described this paper. As result, SimBench, comprehensive dataset for low, medium, high extra-high level, presented. Besides grids that can be combined across...

10.3390/en13123290 article EN cc-by Energies 2020-06-26

10.1007/s10100-018-0590-3 article EN Central European Journal of Operations Research 2018-10-19

Purpose – The purpose of this study is to examine both the technical feasibility and commercial viability several demand-side integration (DSI) programs utilize charging flexibility electric transport vehicles in a logistic facility. DSI important for improving system reliability assisting integrating renewables into energy system. Design/methodology/approach A pre-assessment performed by considering effort implementation, costs economic potential. Afterward, most promising are compared...

10.1108/ijesm-11-2014-0002 article EN International Journal of Energy Sector Management 2015-10-27

10.1016/j.biombioe.2014.07.026 article EN Biomass and Bioenergy 2014-08-23

Heating and cooling for buildings industry account 50 % of the annual energy consumption in European Union. In this study, we analyze a heating market its sustainability using five scenarios. Our use dynamic Multi-Agent-System provides some insights into dynamics consumer behavior. This agent-based model simulates German wood markets considers both behavioral aspects governmental regulations. The different actors, such as private householders, foresters, sawmill operators pellet producers,...

10.1109/eem.2017.7982016 article EN 2022 18th International Conference on the European Energy Market (EEM) 2017-06-01
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