Finite-Time Thermodynamics
The theory around the concept of finite time describes how processes of any nature can be optimized in situations when their rate is required to be non-negligible, i.e., they must come to completion in a finite time. What the theory makes explicit is “the cost of haste”. Intuitively, it is quite obv...
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| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (368 p.) |
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| 520 | |a The theory around the concept of finite time describes how processes of any nature can be optimized in situations when their rate is required to be non-negligible, i.e., they must come to completion in a finite time. What the theory makes explicit is “the cost of haste”. Intuitively, it is quite obvious that you drive your car differently if you want to reach your destination as quickly as possible as opposed to the case when you are running out of gas. Finite-time thermodynamics quantifies such opposing requirements and may provide the optimal control to achieve the best compromise. The theory was initially developed for heat engines (steam, Otto, Stirling, a.o.) and for refrigerators, but it has by now evolved into essentially all areas of dynamic systems from the most abstract ones to the most practical ones. The present collection shows some fascinating current examples. | ||
| 546 | |a English | ||
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| 653 | |a optimization | ||
| 653 | |a generalized radiative heat transfer law | ||
| 653 | |a optimal motion path | ||
| 653 | |a maximum work output | ||
| 653 | |a elimination method | ||
| 653 | |a finite time thermodynamics | ||
| 653 | |a thermodynamics | ||
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| 653 | |a quantum thermodynamics | ||
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| 653 | |a Otto cycle | ||
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| 653 | |a finite-time thermodynamics | ||
| 653 | |a sulfuric acid decomposition | ||
| 653 | |a tubular plug-flow reactor | ||
| 653 | |a entropy generation rate | ||
| 653 | |a SO2 yield | ||
| 653 | |a multi-objective optimization | ||
| 653 | |a optimal control | ||
| 653 | |a thermodynamic cycles | ||
| 653 | |a thermodynamic length | ||
| 653 | |a hydrogen atom | ||
| 653 | |a nano-size engines | ||
| 653 | |a a-thermal cycle | ||
| 653 | |a heat engines | ||
| 653 | |a cooling | ||
| 653 | |a very long timescales | ||
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| 653 | |a ideal gas law | ||
| 653 | |a new and modified variables | ||
| 653 | |a Silicon-Germanium alloys | ||
| 653 | |a minimum of thermal conductivity | ||
| 653 | |a efficiency of thermoelectric systems | ||
| 653 | |a minimal energy dissipation | ||
| 653 | |a radiative energy transfer | ||
| 653 | |a radiative entropy transfer | ||
| 653 | |a two-stream grey atmosphere | ||
| 653 | |a energy flux density | ||
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| 653 | |a generalized winds | ||
| 653 | |a conservatively perturbed equilibrium | ||
| 653 | |a extreme value | ||
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| 653 | |a information geometry of thermodynamics | ||
| 653 | |a thermodynamic curvature | ||
| 653 | |a critical phenomena | ||
| 653 | |a binary fluids | ||
| 653 | |a van der Waals equation | ||
| 653 | |a quantum heat engine | ||
| 653 | |a carnot cycle | ||
| 653 | |a otto cycle | ||
| 653 | |a multiobjective optimization | ||
| 653 | |a Pareto front | ||
| 653 | |a stability | ||
| 653 | |a maximum power regime | ||
| 653 | |a entropy behavior | ||
| 653 | |a biophysics | ||
| 653 | |a biochemistry | ||
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| 653 | |a diversity | ||
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| 653 | |a biological communities | ||
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| 776 | |z 3-0365-4949-8 | ||
| 700 | 1 | |a Salamon, Peter |4 edt | |
| 700 | 1 | |a Andresen, Bjarne |4 edt | |
| 700 | 1 | |a Berry, R. Stephen |4 oth | |
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