Results 91 to 100 of about 5,183,293 (274)
Dynamic Capabilities for Sustainable Technologies in the Steel Industry: A Multiple Case Study
ABSTRACT In recent years, fostering sustainability within organizational and supply chain processes across all sectors has emerged as a central issue, driven by intensifying global environmental concerns. This paper sheds light on how companies in the steel sector can develop specific capabilities to implement suitable technologies for sustainable ...
Frida Betto +4 more
wiley +1 more source
ABSTRACT Circular innovation (CI) research has identified a wide range of circular strategies and design approaches, yet offers limited insight into how CI evolves as a learning process within firms and which governance mechanisms guide this progression. Drawing on organizational learning (OL), this study examines how exploration and exploitation shape
Shamima Haque +2 more
wiley +1 more source
Improving The Performance Of Gas Turbine Power Plant By Modified Axial Turbine
Computer-based optimization techniques can be employed to improve the efficiency of energy conversions processes, including reducing the aerodynamic loss in a thermal power plant turbomachine. In this paper, towards mitigating secondary flow losses, a design optimization workflow is implemented for the casing geometry of a 1.5 stage axial flow turbine ...
Rona, Aldo +3 more
openaire +2 more sources
Scalable catalyst production process for oleate hydratase whole‐cell biocatalysis
This study establishes a scalable lactose‐induced fed‐batch fermentation for an Escherichia coli whole‐cell biocatalyst containing an oleate hydratase. Operation at a higher growth rate markedly increased biomass yields while maintaining catalyst activity and was demonstrated at 150 L scale.
Rebekka Horstmann +6 more
wiley +1 more source
Abstract Increasing protein therapeutics production by adopting intensified perfusion cultures places high demand on the mass transfer capabilities of single‐use bioreactors (SUB). Here, we compare these capabilities for four SUB designs against worst‐case O2 transfer requirements for supporting Chinese hamster ovary (CHO) perfusion cultures. Impact of
Anita B. Dabek +9 more
wiley +1 more source
Gas Turbine Health State Determination: Methodology Approach and Field Application
A reduction of gas turbine maintenance costs, together with the increase in machine availability and the reduction of management costs, is usually expected when gas turbine preventive maintenance is performed in parallel to on-condition maintenance ...
Michele Pinelli +2 more
doaj +1 more source
Techno‐Economic Assessment of Biomethane and Biohydrogen Production From Victorian Wheat Straw
Techno‐economic assessment of biomethane and biohydrogen production from Victorian wheat straw. Off‐grid renewable photovoltaic energy with a price down to 0.95 ¢/kWh was applied. Both approaches can make positive profits and negative carbon footprints.
Shuanglong Tan +7 more
wiley +1 more source
Automated Process Optimization in a Novel Triple Shaft Mixer with Adaptive Mixing Modes
A novel multi‐purpose mixer with adjustable blade angle and a coaxial stirrer is developed, providing three degrees of freedom. An optimization strategy is integrated to autonomously identify optimal operating conditions through automated tests. The current draw of the main stirrer serves as the optimization criterion, while stirrer speeds, directions,
B. Schwarz, H. Kniele, J. A. Lindner
wiley +1 more source
Prospective LCA of E‐Methanol Along the Transformation of Steel Industry
The environmental effects of change in steel production route on e‐methanol production are analyzed as they shift from blast furnace route to direct reduction route. Specific hydrogen demand reduces, as do the avoided CO2 emissions. E‐methanol's overall carbon footprint stays in a narrow range of −1 to −1.1 kg‐CO2‐eq./kg‐methanol.
Ankur Gaikwad
wiley +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source

