Article
Refine
Year of publication
- 2024 (42)
- 2023 (44)
- 2022 (71)
- 2021 (69)
- 2020 (99)
- 2019 (96)
- 2018 (85)
- 2017 (72)
- 2016 (79)
- 2015 (83)
- 2014 (93)
- 2013 (96)
- 2012 (82)
- 2011 (127)
- 2010 (95)
- 2009 (121)
- 2008 (103)
- 2007 (92)
- 2006 (84)
- 2005 (97)
- 2004 (128)
- 2003 (71)
- 2002 (92)
- 2001 (86)
- 2000 (82)
- 1999 (88)
- 1998 (82)
- 1997 (77)
- 1996 (70)
- 1995 (68)
- 1994 (77)
- 1993 (51)
- 1992 (48)
- 1991 (25)
- 1990 (35)
- 1989 (38)
- 1988 (53)
- 1987 (32)
- 1986 (18)
- 1985 (32)
- 1984 (18)
- 1983 (17)
- 1982 (26)
- 1981 (18)
- 1980 (35)
- 1979 (23)
- 1978 (30)
- 1977 (14)
- 1976 (13)
- 1975 (10)
- 1974 (3)
- 1972 (2)
- 1971 (1)
- 1968 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (1309)
- INB - Institut für Nano- und Biotechnologien (485)
- Fachbereich Chemie und Biotechnologie (462)
- Fachbereich Elektrotechnik und Informationstechnik (408)
- IfB - Institut für Bioengineering (384)
- Fachbereich Energietechnik (352)
- Fachbereich Luft- und Raumfahrttechnik (240)
- Fachbereich Maschinenbau und Mechatronik (151)
- Fachbereich Wirtschaftswissenschaften (114)
- Fachbereich Bauingenieurwesen (66)
Has Fulltext
- no (3194) (remove)
Language
- English (3194) (remove)
Document Type
- Article (3194) (remove)
Keywords
- avalanche (5)
- Earthquake (4)
- LAPS (4)
- field-effect sensor (4)
- frequency mixing magnetic detection (4)
- Additive Manufacturing (3)
- CellDrum (3)
- Heparin (3)
- SLM (3)
- additive manufacturing (3)
Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.
Thermal and Optical Study on the Frequency Dependence of an Atmospheric Microwave Argon Plasma Jet
(2019)
Production and Characterization of Porous Fibroin Scaffolds for Regenerative Medical Application
(2019)
Kyphoplasty of Osteoporotic Fractured Vertebrae: A Finite Element Analysis about Two Types of Cement
(2019)
In this paper the results of a techno-economic analysis of improved and optimized molten salt solar tower plants (MSSTP plants) are presented. The potential improvements that were analyzed include different receiver designs, different designs of the HTF-system and plant control, increased molten salt temperatures (up to 640°C) and multi-tower systems. Detailed technological and economic models of the solar field, solar receiver and high temperature fluid system (HTF-system) were developed and used to find potential improvements compared to a reference plant based on Solar Two technology and up-to-date cost estimations. The annual yield model calculates the annual outputs and the LCOE of all variants. An improved external tubular receiver and improved HTF-system achieves a significant decrease of LCOE compared to the reference. This is caused by lower receiver cost as well as improvements of the HTF-system and plant operation strategy, significantly reducing the plant own consumption. A novel star receiver shows potential for further cost decrease. The cavity receiver concepts result in higher LCOE due to their high investment cost, despite achieving higher efficiencies. Increased molten salt temperatures seem possible with an adapted, closed loop HTF-system and achieve comparable results to the original improved system (with 565°C) under the given boundary conditions. In this analysis all multi tower systems show lower economic viability compared to single tower systems, caused by high additional cost for piping connections and higher cost of the receivers.
REFERENCES
We propose the so-called chance constrained programming model of stochastic programming theory to analyze limit and shakedown loads of structures under random strength with a lognormal distribution. A dual chance constrained programming algorithm is developed to calculate simultaneously both the upper and lower bounds of the plastic collapse limit and the shakedown limit. The edge-based smoothed finite element method (ES-FEM) is used with three-node linear triangular elements.