Entransy—A physical quantity describing heat transfer ability

Zhang, Guo; Zhu, Hongye; Liang, Xin-Gang

doi:10.1016/j.ijheatmasstransfer.2006.11.034

Cited by 747 publications

(535 citation statements)

References 8 publications

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“…range (simplified avg. monthly solar entransy flux [28,29]) Sc · ΔTc invariant to any monotonically non-decreasing, rank-preserving transformation of the RDS scores. This means that the sole semantic requirement for the similarities RDS ez c is to be ::sortable:: 3 .…”

Section: Sδtcmentioning

confidence: 99%

Continental-Scale Living Forest Biomass and Carbon Stock: A Robust Fuzzy Ensemble of IPCC Tier 1 Maps for Europe

Rigo

Barredo

Busetto

et al. 2013

IFIP Advances in Information and Communication Technology

109

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Abstract. Forest ecosystems play a key role in the global carbon cycle. Spatially explicit data and assessments of forest biomass and carbon are therefore crucial for designing and implementing effective sustainable forest management options and forest related policies. In this contribution, we present European-wide maps of forest biomass and carbon stock spatially disaggregated at 1km x 1km. The maps originated from a spatialisation improvement of the IPCC methodology for estimating the forest biomass at IPCC Tier 1 level (IPCC-T1). Using a categorical map of ecological zones within the mapping technique may originate boundary effects between the ecological zones. This may induce undue artifacts in the outcomes, as evident in previously published maps generated with the IPCC-T1 methodology. Here we present a novel method for IPCC-T1 biomass mapping which mitigates these artifacts. We propose the use of a fuzzy similarity map of the FAO ecological zones computed by estimating the relative distance similarity (RDS) of each grid-cells climate and geography with respect to the FAO ecological zones. A robust ensemble approach was used to merge an array of simple models with spatially distributed fuzzy set-membership. This allowed the boundary artifacts to be reduced, while mitigating the impact of model semantic extrapolation. The chain of semantically enhanced data-transformations is described following the semantic array programming paradigm. Preliminary results obtained from the application of this novel approach are presented along with a discussion of its impact on the derived maps.

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Section: Sδtcmentioning

confidence: 99%

Continental-Scale Living Forest Biomass and Carbon Stock: A Robust Fuzzy Ensemble of IPCC Tier 1 Maps for Europe

Rigo

Barredo

Busetto

et al. 2013

IFIP Advances in Information and Communication Technology

109

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“…By analogy with electrical conduction, Guo et al defined a new physical concept, entransy, which describes heat transfer capability [13]. Based on this concept, the equivalent thermal resistance of a heat exchanger was defined to quantify heat transfer irreversibility in heat exchangers [14].…”

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confidence: 99%

Entransy dissipation minimization for optimization of heat exchanger design

Guo

et al. 2011

Chin. Sci. Bull.

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In this paper, by taking the water-water balanced counterflow heat exchanger as an example, the entransy dissipation theory is applied to optimizing the design of heat exchangers. Under certain conditions, the optimal duct aspect ratio is determined analytically. When the heat transfer area or the duct volume is fixed, analytical expressions of the optimal mass velocity and the minimal entransy dissipation rate are obtained. These results show that to reduce the irreversible dissipation in heat exchangers, the heat exchange area should be enlarged as much as possible, while the mass velocity should be reduced as low as possible. entransy, heat exchanger, optimization design Citation:Li X F, Guo J F, Xu M T, et al. Entransy dissipation minimization for optimization of heat exchanger design.

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“…However, the heat transfer rate should be of much greater interest during heat transfer. Guo et al [9,10] introduced a physical quantity describing the heat transfer ability of an object, entransy, which is defined as half the product of internal energy and temperature of the object. The extremum entransy dissipation (EED) principle was also established for heat transfer optimization.…”

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confidence: 99%

Optimization of flue gas turbulent heat transfer with condensation in a tube

Song

Jiang

2011

Chin. Sci. Bull.

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Conservation equations for sensible and latent entransy are established for flue gas turbulent heat transfer with condensation in a tube, and the entransy dissipation expression is deduced. The field synergy equation is obtained on the basis of the extremum entransy dissipation principle for flue gas turbulent heat transfer with condensation. The optimal velocity field is numerically obtained by solving the field synergy equation. The results show that the optimal velocity field contains multiple longitudinal vortices near the tube surface. These improve the synergy not only between the velocity and temperature fields but also between the velocity and vapor concentration fields. Therefore, the turbulent heat and mass transfers are significantly enhanced. condensation, entransy, entransy dissipation, field synergy, longitudinal vortex Citation:Song W M, Meng J A, Li Z X. Optimization of flue gas turbulent heat transfer with condensation in a tube.

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Entransy—A physical quantity describing heat transfer ability

Cited by 747 publications

References 8 publications

Continental-Scale Living Forest Biomass and Carbon Stock: A Robust Fuzzy Ensemble of IPCC Tier 1 Maps for Europe

Continental-Scale Living Forest Biomass and Carbon Stock: A Robust Fuzzy Ensemble of IPCC Tier 1 Maps for Europe

Entransy dissipation minimization for optimization of heat exchanger design

Optimization of flue gas turbulent heat transfer with condensation in a tube

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