A Pattern Language for Workflow Engine Conformance and Performance Benchmarking

2017 ◽  
Author(s):  
Simon Harrer ◽  
Jörg Lenhard ◽  
Oliver Kopp ◽  
Vincenzo Ferme ◽  
Cesare Pautasso
Keyword(s):  
Workflow Engine ◽  
Pattern Language ◽  
Performance Benchmarking ◽  
And Performance

ICT Based Performance Measurement and Benchmarking Methodology

2020 ◽  
pp. 188-196
Author(s):  
Nadja Yang Meng ◽  
Karthikeyan K
Keyword(s):  
Best Practices ◽  
Performance Measurement ◽  
Performance Metrics ◽  
Performance Enhancement ◽  
Performance Measurements ◽  
Know How ◽  
Performance Benchmarking ◽  
Measurement Framework ◽  
And Performance ◽  
Made In

Performance benchmarking and performance measurement are the fundamental principles of performance enhancement in the business sector. For businesses to enhance their performance in the modern competitive world, it is fundamental to know how to measure the performance level in business that also incorporates telling how they will performance after a change has been made. In case a business improvement has been made, the performance processes have to be evaluated. Performance measurements are also fundamental in the process of doing comparisons of performance levels between corporations. The best practices within the industry are evaluated by the businesses with desirable levels of the kind of performance measures being conducted. In that regard, it is fundamental if similar businesses applied the same collection of performance metrics. In this paper, the NETIAS performance measurement framework will be applied to accomplish the mission of evaluating performances in business by producing generic collection of performance metrics, which businesses can utilize to compare and measure their organizational activities.

Computational Study of the Electronic Performance of Cross-Plane Superlattice Peltier Devices

2011 ◽  
Vol 1314 ◽  
Author(s):  
Changwook Jeong ◽  
Gerhard Klimeck ◽  
Mark Lundstrom
Keyword(s):  
Seebeck Coefficient ◽  
Computational Study ◽  
Oscillatory Behavior ◽  
Electrical Performance ◽  
Simulation Code ◽  
Performance Benchmarking ◽  
Peltier Cooler ◽  
Electronic Performance ◽  
Quantum Mechanical Effects ◽  
And Performance

ABSTRACTWe use a state-of-the-art non-equilibrium quantum transport simulation code, NEMO-1D, to address the device physics and performance benchmarking of cross-plane superlattice Peltier coolers. Our findings show quantitatively how barriers in cross-plane superlattices degrade the electrical performance, i.e. power factor. The performance of an In0.53Ga0.47As/In0.52Al0.48As cross-plane SL Peltier cooler is lower than that of either a bulk In0.53Ga0.47As or bulk In0.52Al0.48As device, mainly due to quantum mechanical effects. We find that a cross-plane SL device has a Seebeck coefficient vs. conductance tradeoff that is no better than that of a bulk device. The effects of tunneling and phase coherence between multi barriers are examined. It is shown that tunneling, SL contacts, and coherency only produce oscillatory behavior of Seebeck coefficient vs. conductance without a significant gain in PF. The overall TE device performance is, therefore, a compromise between the enhanced Seebeck coefficient and degraded conductance.

scholarly journals Performance Indicators for Benchmarking Solar Thermochemical Fuel Processes and Reactors

2021 ◽  
Vol 9 ◽  
Author(s):  
Brendan Bulfin ◽  
Miguel Miranda ◽  
Aldo Steinfeld
Keyword(s):  
Energy Efficiency ◽  
Performance Indicators ◽  
Performance Benchmarking ◽  
Concentrated Solar Energy ◽  
Modelling Studies ◽  
Thermochemical Processes ◽  
Efficiency Conversion ◽  
Solar Reactors ◽  
And Performance ◽  
Reacting Systems

Concentrated solar energy offers a source for renewable high-temperature process heat that can be used to efficiently drive endothermic chemical processes, converting the entire spectrum of solar radiation into chemical energy. In particular, solar-driven thermochemical processes for the production of fuels include reforming of methane and other hydrocarbons, gasification of biomass, coal, and other carbonaceous feedstock, and metal oxide redox cycles for splitting H2O and CO2. A notable issue in the development of these processes and their associated solar reactors is the lack of consistent reporting methods for experimental demonstrations and modelling studies, which complicates the benchmarking of the corresponding technologies. In this work we formulate dimensionless performance indicators based on mass and energy balances of such reacting systems, namely: energy efficiency, conversion extent, selectivity, and yield. Examples are outlined for the generic processes mention above. We then provide guidelines for reporting on such processes and reactors and suggest performance benchmarking on four key criteria: energy efficiency, conversion extent, product selectivity, and performance stability.

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