Methodik zur schnellen Bewertung von Syntheserouten auf Basis von Exergiebilanzen

Frenzel, Philipp; Pfennig, Andreas

doi:10.1002/cite.201650111

Cited by 3 publications

(5 citation statements)

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“…A discussion of some of these approaches can be found in [37]. Some tools or routines developed in the past to perform exergy-based analyses are closed-source, no longer available, distributed, or further developed, e.g., routines for Aspen Plus [38][39][40][41][42][43][44], Aspen Hysys [45], ProSimPlus [46], Sim42 [47], or not assigned to a specific software [48,49]. The computer program THESIS [50] was the first simulation tool with an integrated exergy analysis for chemical and energy engineering.…”

Section: Motivation Of the Approachmentioning

confidence: 99%

Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy

et al. 2022

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Exergy-based methods support the identification of thermodynamic inefficiencies and the discovery of optimization potentials in thermal engineering applications. Although a large variety of simulation software is available in this field, most do not offer an integrated solution for exergy analysis. While there are commercial products on the market with such capabilities, their access for research and educational purposes is limited. The presented open-source software offers an integrated and fully automated exergy analysis tool for thermal conversion processes. In a first step, physical exergy is implemented, and the tool is then applied to three different example plants to highlight its capabilities and validate the implementation: A solar thermal power plant, a supercritical CO2 power cycle, and an air refrigeration cycle. The respective models and the results of the analyses are presented briefly. By providing the results in modern data structures, they are easily accessible and postprocessible. Future work will include chemical exergy to enable analyses of applications with conversion of matter. Additionally, the implementation of the exergoeconomic analysis and optimization is envisaged.

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Section: Motivation Of the Approachmentioning

confidence: 99%

Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy

et al. 2022

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Section: General Assumptionsmentioning

confidence: 99%

“…Potential and kinetic energy and exergy of mixing are neglected since these exergies are assumed to be significantly smaller than the other exergy flows in the system [16] (pp. [15][16][17][18][19]. With mole fractions of 0.82 Fe, 0.15 C, and 0.03 Si calculated from the mass fractions of 0.945 Fe, 0.037 C, and 0.018 Si [10], the mixing exergy amounts approx.…”

Section: General Assumptionsmentioning

confidence: 99%

“…This result is based on a calculated heat capacity of 0.949 kJ/kg/K as the mean slope of the enthalpy curves by Hack [18] (pp. [11][12][13][14][15][16][17]. On the contrary, Gonzales et al [23] report physical exergy for liquid steel of 550 MJ/t, and for hot metal, of 530 MJ/t at 1573 K, and ambient pressure by using the specific heat capacities of 0.68 kJ/kg/K and 0.71 kJ/kg/K, respectively.…”

Section: Analysis Of the Induction Furnacementioning

confidence: 99%

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Comparing Exergy Analysis and Physical Optimum Method Regarding an Induction Furnace

2021

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In order to achieve energy and climate goals, energy and resource efficiency are considered a key measure. Limit-value-oriented methods such as the exergy analysis and the physical optimum method are used to show the limits of efficiency improvement. In this context, the physical optimum represents the theoretical ideal reference process. Despite their similarities, no comprehensive comparison to the exergy analysis has been carried out yet. Thus, the purpose of this study is to close this gap by examining differences and intersections using the example of an induction furnace. The minimum energy input according to the physical optimum method is 1327 MJ/t whereas the exergy of the melting product is 1393 MJ/t, depending on transit flows taken into account. The exergy analysis extends considerably beyond the physical optimum method in terms of the complexity and accuracy of the assessment of material flows by using exergy units. The exergy analysis makes clear which exergy is linked to the losses and thus reveals the potential for coupling processes. This results in different areas of application for the two methods.

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“…Standard chemical exergy and lower heating value for selected resources. Adapted from Frenzel and Pfennig[35].…”

mentioning

confidence: 99%

Mass and Heat Integration in Ethanol Production Mills for Enhanced Process Efficiency and Exergy-Based Renewability Performance

2019

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This paper presents the process design and assessment of a sugarcane-based ethanol production system that combines the usage of both mass and heat integration (pinch analysis) strategies to enhance the process efficiency and renewability performance. Three configurations were analyzed: (i) Base case: traditional ethanol production (1G); (ii) mass-integrated (1G2G); and (iii) mass and heat-integrated system (1G2G-HI). The overall assessment of these systems was based on complementary approaches such as mass and mass–heat integration, energy and exergy analysis, exergy-based greenhouse gas (GHG) emissions, and renewability exergy criteria. The performances of the three cases were assessed through five key performance indicators (KIPs) divided into two groups: one is related to process performance, namely, energy efficiency, exergy efficiency, and average unitary exergy cost (AUEC), and the other one is associated to environmental performance i.e., exergy-based CO2-equation emissions and renewability exergy index. Results showed a higher exergy efficiency of 50% and the lowest AUEC of all the systems (1.61 kJ/kJ) for 1G2G-HI. Furthermore, the destroyed exergy in 1G2G-HI was lower by 7% and 9% in comparison to the 1G and 1G2G cases, respectively. Regarding the exergy-based GHG emissions and renewability performance (λindex), the 1G2G-HI case presented the lowest impacts in terms of the CO2-equivalent emissions (94.10 gCO2-eq/MJ products), while λindex was found to be environmentally unfavorable (λ = 0.77). However, λindex became favorable (λ > 1) when the useful exergy of the byproducts was considered.

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Methodik zur schnellen Bewertung von Syntheserouten auf Basis von Exergiebilanzen

Cited by 3 publications

References 0 publications

Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy

Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy

Comparing Exergy Analysis and Physical Optimum Method Regarding an Induction Furnace

Mass and Heat Integration in Ethanol Production Mills for Enhanced Process Efficiency and Exergy-Based Renewability Performance

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