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Alternate Trait‐Based Leaf Respiration Schemes Evaluated At Ecosystem‐Scale Through Carbon Optimization Modeling And Canopy Property Data, R. Q. Thomas, M. Williams, M. A. Cavaleri, J.‐F. Exbrayat, T. L. Smallman, L. E. Street
Alternate Trait‐Based Leaf Respiration Schemes Evaluated At Ecosystem‐Scale Through Carbon Optimization Modeling And Canopy Property Data, R. Q. Thomas, M. Williams, M. A. Cavaleri, J.‐F. Exbrayat, T. L. Smallman, L. E. Street
Michigan Tech Publications
Leaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub‐models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e.g., mass or area based) and the form of relationship (linear or nonlinear). To simulate vegetation responses to global change, some ESMs include ecological optimization to identify canopy structures that maximize net C accumulation. However, the implications for optimization of using alternate leaf‐scale empirical Rleaf,m models are undetermined. Here we combine …
Evaluation Of Copper-Contaminated Marginal Land For The Cultivation Of Vetiver Grass (Chrysopogon Zizanioides) As A Lignocellulosic Feedstock And Its Impact On Downstream Bioethanol Production, Emily Geiger, Dibyendu Sarkar, Rupali Datta
Evaluation Of Copper-Contaminated Marginal Land For The Cultivation Of Vetiver Grass (Chrysopogon Zizanioides) As A Lignocellulosic Feedstock And Its Impact On Downstream Bioethanol Production, Emily Geiger, Dibyendu Sarkar, Rupali Datta
Michigan Tech Publications
Metal-contaminated soil could be sustainably used for biofuel feedstock production if the harvested biomass is amenable to bioethanol production. A 60-day greenhouse experiment was performed to evaluate (1) the potential of vetiver grass to phytostabilize soil contaminated with copper (Cu), and (2) the impact of Cu exposure on its lignocellulosic composition and downstream bioethanol production. Dilute acid pretreatment, enzymatic hydrolysis, and fermentation parameters were optimized sequentially for vetiver grass using response surface methodology (RSM). Results indicate that the lignocellulosic composition of vetiver grown on Cu-rich soil was favorably altered with a significant decrease in lignin and increase in hemicellulose and …
Optimal Power Flow Control Of Networked Dc Microgrids, Eddy H. Trinklein
Optimal Power Flow Control Of Networked Dc Microgrids, Eddy H. Trinklein
Dissertations, Master's Theses and Master's Reports
The US military is moving toward the electrification of many weapon systems and platforms. Advanced weapon systems such as high energy radar, electro-magnetic kinetic weapons and directed energy pose significant integration challenges due to their pulsed power electrical load profile. Additionally, the weapons platforms, including ships, aircraft, and vehicles can be studied as a mobile microgrids with multiple generation sources, loads, and energy storage. There is also a desire to extend the mission profile and capabilities of these systems. Common goals are to increase fuel efficiency, maintaining system stability, and reduce energy storage size as typically required to enable pulsed …
Optimization And Control Of Arrays Of Wave Energy Converters, Jianyang Lyu
Optimization And Control Of Arrays Of Wave Energy Converters, Jianyang Lyu
Dissertations, Master's Theses and Master's Reports
Wave Energy Converter Array is a practical approach to harvest ocean wave energy. To leverage the potential of the WEC array in terms of energy extraction, it is essential to have a properly designed array configuration and control system. This thesis explores the optimal configuration of Wave Energy Converters (WECs) arrays and their optimal control. The optimization of the WEC array allows both dimensions of individual WECs as well as the array layout to varying. In the first optimization problem, cylindrical buoys are assumed in the array where their radii and drafts are optimization parameters. Genetic Algorithms are used for …