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Articles de revues sur le sujet « Thermoeconomic analysi »

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Auteur : Grafiati

Publié le 14 mars 2023

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1

Uysal, Cuneyt, et Ho-Young Kwak. « Role of Waste Cost in Thermoeconomic Analysis ». Entropy 22, n^o 3 (2 mars 2020) : 289. http://dx.doi.org/10.3390/e22030289.

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Power plants or thermal systems wherein products such as electricity and steam are generated affect the natural environment, as well as human society, through the discharging of wastes. The wastes from such plants may include ashes, flue gases, and hot water streams. The waste cost is of primary importance in plant operation and industrial ecology. Therefore, an appropriate approach for including waste cost in a thermoeconomic analysis is essential. In this study, a method to take waste cost into account in thermoeconomics to determine the production cost of products via thermoeconomic analysis is proposed. The calculation of the waste cost flow rates at the dissipative units and their allocation to system components are important to obtain the production cost of a plant.

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dos Santos, Rodrigo Guedes, Atilio Barbosa Lourenço, Pedro Rosseto de Faria, Marcelo Aiolfi Barone et José Joaquim Conceição Soares Santos. « A New Exergy Disaggregation Approach for Complexity Reduction and Dissipative Equipment Isolation in Thermoeconomics ». Entropy 24, n^o 11 (17 novembre 2022) : 1672. http://dx.doi.org/10.3390/e24111672.

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Thermoeconomics connects thermodynamic and economic concepts in order to provide information not available in conventional energy and economic analysis. Most thermoeconomicists agree that exergy is the most appropriate thermodynamic magnitude to associate with cost. In some applications, exergy disaggregation is required. Despite the improvement in result accuracy, the modeling complexity increases. In recent years, different exergy disaggregation approaches have been proposed, mostly to deal with dissipative components and residues, despite all of them also increasing the complexity of thermoeconomics. This study aims to present a new thermoeconomic approach based on exergy disaggregation, which is able to isolate dissipative components with less modeling complexity. This approach, called the A&F Model, splits the physical exergy into two terms, namely, Helmholtz energy and flow work. These terms were evaluated from a thermoeconomic point of view, through a cost allocation in an ideal Carnot cycle, and they were also applied and compared with the UFS Model, through a cost allocation analysis, in a case study with an organic Rankine cycle-powered vapor compression refrigeration system. The complexity and computational effort reduction in the A&F are significantly less than in the UFS Model. This alternative approach yields consistent results.

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Dos Santos, R. G., P. R. De Faria, J. J. C. S. Santos, J. A. M. Da Silva et J. L. M. Donatelli. « THE EFFECT OF THE THERMODYNAMIC MODELS ON THE THERMOECONOMIC RESULTS FOR COST ALLOCATION IN A GAS TURBINE COGENERATION SYSTEM ». Revista de Engenharia Térmica 14, n^o 2 (31 décembre 2015) : 47. http://dx.doi.org/10.5380/reterm.v14i2.62133.

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The thermoeconomics combines economics and thermodynamics to provide information not available from conventional energy and economic analysis. For thermoeconomics modeling one of the keys points is the thermodynamic model that should be adopted. Different thermodynamic models can be used in the modeling of a gas turbine system depending on the accuracy required. A detailed study of the performance of gas turbine would take into account many features. These would include the combustion process, the change of composition of working fluid during combustion, the effects of irreversibilities associated with friction and with pressure and temperature gradients and heat transfer between the gases and walls. Owing to these and others complexities, the accurate modeling of gas turbine normally involves computer simulation. To conduct elementary thermodynamic analyses, considerable simplifications are required. Thus, there are simplified models that lead to different results in thermoeconomics. At this point, three questions arise: How different can the results be? Are these simplifications reasonable? Is it worth using such a complex model? In order to answer these questions, this paper compares three thermodynamic models in a gas turbine cogeneration system from thermoeconomic point of view: cold air-standard model, CGAM model and complete combustion with excess air.

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Ranasinghe, J., S. Aceves-Saborio et G. M. Reistad. « Irreversibility and Thermoeconomics Based Design Optimization of a Ceramic Heat Exchanger ». Journal of Engineering for Gas Turbines and Power 111, n^o 4 (1 octobre 1989) : 719–27. http://dx.doi.org/10.1115/1.3240318.

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This paper illustrates the optimization procedure for heat exchangers residing in complex power plants. A specific case of optimizing a new technology ceramic heat exchanger, which is a part of the complex power plant, is shown. The heat exchanger design methods presented are based on two different objective functions, namely, a modified irreversibility rate based objective function proposed by the authors in earlier work and an objective function based on thermoeconomics. This paper also extends existing work by illustrating a method to obtain the cost coefficients for thermoeconomic optimization, based on the use of an overall plant simulation model. A discussion on possible methods of improving the design guideposts obtained from irreversibility minimization analysis is also presented.

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Valencia, Duarte et Isaza-Roldan. « Thermoeconomic Analysis of Different Exhaust Waste-Heat Recovery Systems for Natural Gas Engine Based on ORC ». Applied Sciences 9, n^o 19 (25 septembre 2019) : 4017. http://dx.doi.org/10.3390/app9194017.

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Waste-heat recovery (WHR) systems based on the organic Rankine cycle (ORC) improve the thermal efficiency of natural gas engines because they generate additional electric power without consuming more gas fuel. However, to obtain a cost-effective design, thermoeconomic criteria must be considered to facilitate installation, operation, and penetration into real industrial contexts. Therefore, a thermo-economic analyses of a simple ORC (SORC), ORC with recuperator (RORC) and a double-pressure ORC (DORC) integrated with a 2 MW Jenbacher JMS 612 GS-N. L is presented using toluene as the organic working fluid. In addition, the cost rate balances for each system are presented in detail, with the analysis of some thermoeconomics indicator such as the relative cost difference, the exergoeconomic factor, and the cost rates of exergy destruction and exergy loss. The results reported opportunities to improve the thermoeconomic performance in the condenser and turbine, because the exergoeconomic factor for the condenser and the turbine were in the RORC (0.41 and 0.90), and DORC (0.99 and 0.99) respectively, which implies for the RORC configuration that 59% and 10% of the increase of the total cost of the system is caused by the exergy destruction of these devices. Also, the pumps present the higher values of relative cost difference and exergoeconomic factor for B1 (rk = 8.5, fk = 80%), B2 (rk = 8, fk = 85%).

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Picallo-Perez, Ana, José María Sala et Arrate Hernández. « Application of Thermoeconomics in HVAC Systems ». Applied Sciences 10, n^o 12 (17 juin 2020) : 4163. http://dx.doi.org/10.3390/app10124163.

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In order to achieve a sustainable society, the energy consumption in buildings must be reduced. The first step toward achieving this goal is to detect their weak points and analyze the energy-saving potential. to detect the units with higher consumption and cost. Exergy is very useful for analyzing pieces of equipment, systems or entire buildings. It measures not only the quantity of energy but also its quality. If the exergy is combined with economic analysis, this gives rise to thermoeconomics, and the system can be checked systematically and optimized from the perspective of economics. In this work, exergy methods and thermoeconomic analysis were applied to a building thermal system. Due to its complexity, it is necessary to adapt some concepts to translate the exergy application from industry to buildings. The purpose of this work is to overcome these shortcomings and to deal with energy-saving actions for buildings. To this end, a thermoeconomic study of a facility that covers the heating and domestic hot water (DHW) demands of 176 dwellings in Vitoria-Gasteiz (Basque Country) using two boilers and two cogeneration engines was analyzed. The irreversibility associated with each piece of equipment was quantified, and the costs associated with resources, investment and maintenance were calculated for each flow and, consequently, for the final flows, that is, electricity (11.37 c€/kWh), heating (7.42 c€/kWh) and DHW (7.25 c€/kWh). The results prove that the boilers are the lesser efficient components (with an exergy efficiency of 15%). Moreover, it is demonstrated that micro-cogeneration engines not only save energy because they have higher exergy efficiency (36%), but they are also economically attractive, even if they require a relatively high investment. Additionally, thermoeconomic costs provide very interesting information and underscore the necessity to adapt the energy quality in between the generation and demand.

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Cheng, Wei Liang, Hui Ji et An Di. « Thermoeconomic Analysis of Air Conditioning Systems ». Advanced Materials Research 875-877 (février 2014) : 1748–53. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1748.

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In order to decrease the operation costs of air conditioning systems, an evaluation model based on unit thermoeconomic costs of thermoeconomic theory is presented in this paper. By using real components and fictitious components in an air conditioning system, the relationships between the fuel and product are established, and then the operation performances of the air conditioning system can be analyzed and evaluated. The unit thermoeconomic costs can be obtained with the experimental data. The results show that the unit thermoeconomic cost of the system is the lowest when the vaporizing temperature is at 16.3°C, and the unit thermoeconomic cost of the compressor component is the highest. Therefore, the direction and emphases of the technique improvement and performance enhancement are provided.

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Valero, A., L. Serra et J. Uche. « Fundamentals of Exergy Cost Accounting and Thermoeconomics. Part I : Theory ». Journal of Energy Resources Technology 128, n^o 1 (8 juillet 2005) : 1–8. http://dx.doi.org/10.1115/1.2134732.

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These two papers resume the theoretical background supporting the main ideas of the exergy cost accounting and the thermoeconomic approach followed by Valero and co-workers. Part I introduces the basic requirements, with a simple example accompanying the dissertations, to calculate the exergy and thermoeconomic costs and to perform the thermoeconomic analysis of a complex system. The connections with other thermoeconomic approaches and schools are briefly explained. Part II presents, as an illustration of the applications of thermoeconomic analysis, some of the most interesting applications of costs to the operation diagnosis and optimization of a complex system, showing the results on the mentioned example presented in Part I.

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Massardo, A. F., et M. Scialo`. « Thermoeconomic Analysis of Gas Turbine Based Cycles ». Journal of Engineering for Gas Turbines and Power 122, n^o 4 (15 mai 2000) : 664–71. http://dx.doi.org/10.1115/1.1287346.

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The thermoeconomic analysis of gas turbine based cycles is presented and discussed in this paper. The thermoeconomic analysis has been performed using the ThermoEconomic Modular Program (TEMP V.5.0) developed by Agazzani and Massardo (1997). The modular structure of the code allows the thermoeconomic analysis for different scenarios (turbine inlet temperature, pressure ratio, fuel cost, installation costs, operating hours per year, etc.) of a large number of advanced gas turbine cycles to be obtained in a fast and reliable way. The simple cycle configuration results have been used to assess the cost functions and coefficient values. The results obtained for advanced gas turbine based cycles (inter-cooled, re-heated, regenerated and their combinations) are presented using new and useful representations: cost versus efficiency, cost versus specific work, and cost versus pressure ratio. The results, including productive diagram configurations, are discussed in detail and compared to one another. [S0742-4795(00)01903-7]

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10

Shi, Zhi Gang, et Zhuo Li. « Thermoeconomic Optimization of a Seawater Source Heat Pump System for Residential Buildings ». Advanced Materials Research 354-355 (octobre 2011) : 794–97. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.794.

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A seawater source heat pump (SWHP) system offer an attractive option for heating and cooling residential and commercial buildings owing to their higher energy efficiency compared with conventional systems. A thermoeconomic model was developed for analysis and optimization of SWHP with residential building. The thermodynamic and thermoeconomic optimum result for SWHP in the Qingdao, china, weather conditions were obtained using MATLAB optimization toolbox. The thermoeconomic optimization results show exergy loss and EER increasing by 22.7% and 13.9% respectively, but annual production costs reduce by 29.1%.

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Agazzani, A., et A. F. Massardo. « A Tool for Thermoeconomic Analysis and Optimization of Gas, Steam, and Combined Plants ». Journal of Engineering for Gas Turbines and Power 119, n^o 4 (1 octobre 1997) : 885–92. http://dx.doi.org/10.1115/1.2817069.

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The aim of this work is to demonstrate the capability of an original “modular” simulator tool for the thermoeconomic analysis of thermal-energy systems. The approach employed is based on the Thermoeconomic Functional Analysis (T.F.A.), which, through definition of the “functional productive diagram” and the establishment of the capital cost function of each component, allows the marginal costs and the unit product costs, i.e., the “internal economy,” of the functional exergy flows to be obtained in correspondence to the optimum point. The optimum design of the system is obtained utilizing a traditional optimization technique, which includes both physical structure of the energy system described in terms of thermodynamic variables and cost model (capital cost of the components, maintenance and amortization factors, unit fuel cost, unit electricity cost, etc.). As an application example to show the practicability of the tool, the thermoeconomic analysis of various complex multipressure combined cycles (with or without steam reheating) is carried out. The results are analyzed and discussed in depth.

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12

Valencia Ochoa, Guillermo, Carlos Acevedo Peñaloza et Jorge Duarte Forero. « Thermoeconomic Optimization with PSO Algorithm of Waste Heat Recovery Systems Based on Organic Rankine Cycle System for a Natural Gas Engine ». Energies 12, n^o 21 (31 octobre 2019) : 4165. http://dx.doi.org/10.3390/en12214165.

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To contribute to the economic viability of waste heat recovery systems application based on the organic Rankine cycle (ORC) under real operation condition of natural gas engines, this article presents a thermoeconomic optimization results using the particle swarm optimization (PSO) algorithm of a simple ORC (SORC), regenerative ORC (RORC), and double-stage ORC (DORC) integrated to a GE Jenbacher engine type 6, which have not been reported in the literature. Thermoeconomic modeling was proposed for the studied configurations to integrate the exergetic analysis with economic considerations, allowing to reduce the thermoeconomic indicators that most influence the cash flow of the project. The greatest opportunities for improvement were obtained for the DORC, where the results for maximizing net power allowed the maximum value of 99.52 kW, with 85% and 80% efficiencies in the pump and turbine, respectively, while the pinch point temperatures of the evaporator and condenser must be 35 and 16 °C. This study serves as a guide for future research focused on the thermoeconomic performance optimization of an ORC integrated into a natural gas engine.

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13

Gonçalves, L. P., et F. R. P. Arrieta. « AN EXERGY COST ANALYSIS OF A COGENERATION PLANT ». Revista de Engenharia Térmica 9, n^o 1-2 (31 décembre 2010) : 28. http://dx.doi.org/10.5380/reterm.v9i1-2.61927.

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The exergy analysis, including the calculation of the unit exergetic cost of all flows of the cogeneration plant, was the main purpose of the thermoeconomic analysis of the STAG (STeam And Gas) combined cycle CHP (Combined Heat and Power) plant. The combined cycle cogeneration plant is composed of a GE10 gas turbine (11250 kW) coupled with a HRSG (Heat Recovery Steam Generator) and a condensing extraction steam turbine. The GateCycleTM Software was used for the modeling and simulation of the combined cycle CHP plant thermal scheme, and calculation of the thermodynamic properties of each flow (Mass Flow, Pressure, Temperature, Enthalpy). The entropy values for water and steam were obtained from the Steam Tab software while the entropy and exergy of the exhaust gases were calculated as instructed by. For the calculation of the unit exergetic cost was used the neguentropy and Structural Theory of Thermoeconomic. The GateCycleTM calculations results were exported to an Excel sheet to carry out the exergy analysis and the unit exergetic cost calculations with the thermoeconomic model that was created for matrix inversion solution. Several simulations were performed varying separately five important parameters: the Steam turbine exhaust pressure, the evaporator pinch point temperature, the steam turbine inlet temperature, Rankine cycle operating pressure and the stack gas temperature to determine their impact in the recovery cycle heat exchangers transfer area, power generation and unit exergetic cost.

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Hepbasli, Arif. « Thermoeconomic analysis of household refrigerators ». International Journal of Energy Research 31, n^o 10 (2007) : 947–59. http://dx.doi.org/10.1002/er.1290.

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15

Kotas, T. J., et D. S. Kibiikyo. « Thermoeconomic Optimization of a Ventilation Air Heater in a Backpressure Combined Heat and Power Plant ». Proceedings of the Institution of Mechanical Engineers, Part A : Journal of Power Engineering 203, n^o 4 (novembre 1989) : 255–67. http://dx.doi.org/10.1243/pime_proc_1989_203_036_02.

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In this paper a method of optimization of plant components is demonstrated for the case of a ventilation air heater in a backpressure combined heat and power (CHP) plant. The method, known as thermoeconomic optimization, combines the concepts of exergy analysis with those of economic analysis. The optimization is carried out in two stages. First the heat-exchanger geometry is optimized for a range of different fixed heat-transfer areas using the trade-off between irreversibility due to pressure losses and that due to heat transfer over a finite temperature difference. In the second stage the economically justified cost of the heat-exchanger is determined using a version of thermoeconomic optimization known as the structural method. The concept of the coefficient of structural bonds is discussed and its use in structural investigation and thermoeconomic optimization is explained. Potential for further improvement in the plant efficiency through optimization is discussed with reference to a diagram of exergy flows and irreversibility rates known as the Grass-mann diagram.

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Liu, Sha, et Jiong Shen. « Improved Thermoeconomic Energy Efficiency Analysis for Integrated Energy Systems ». Processes 10, n^o 1 (10 janvier 2022) : 137. http://dx.doi.org/10.3390/pr10010137.

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The structure of an integrated energy system is complex. Thermoeconomics can play a significant role in the analysis of IES because it makes up for the deficiency of traditional thermodynamic analysis and provides new information on the cost and energy conversion efficiency. When using thermoeconomics to analyze the energy efficiency of an IES, one key issue that needs to be solved is how to transfer irreversible loss across thermal cycles, so that the mechanism of system performance degradation can be fully revealed. To this end, an irreversible cost and exergy cost integrated analysis method based on improved thermoeconomics is proposed, in which the cumulative and transmission impact of irreversible loss across thermal cycles is evaluated using linear transformation of <KP> matrix. A case study on a 389MW combined cooling, heating, and power IES demonstrates the effectiveness of the proposed approach. The proposed approach can reveal the key links impairing the overall energy efficiency and transfer of irreversible loss across thermal cycles. The approach can be extended to various types of IES to provide directions for the assessment and optimization of the system.

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Ersöz, Mustafa Ali, et Abdullah Yıldız. « Thermoeconomic analysis of thermosyphon heat pipes ». Renewable and Sustainable Energy Reviews 58 (mai 2016) : 666–73. http://dx.doi.org/10.1016/j.rser.2015.12.250.

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Al-Sulaiman, Fahad A., et Bekir S. Yilbas. « Thermoeconomic analysis of shrouded wind turbines ». Energy Conversion and Management 96 (mai 2015) : 599–604. http://dx.doi.org/10.1016/j.enconman.2015.02.034.

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19

Temir, Galip, et Durriye Bilge. « Thermoeconomic analysis of a trigeneration system ». Applied Thermal Engineering 24, n^o 17-18 (décembre 2004) : 2689–99. http://dx.doi.org/10.1016/j.applthermaleng.2004.03.014.

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Uche, J., L. Serra et A. Valero. « Exergy Costs and Inefficiency Diagnosis of a Dual-Purpose Power and Desalination Plant ». Journal of Energy Resources Technology 128, n^o 3 (8 juillet 2005) : 186–93. http://dx.doi.org/10.1115/1.2213276.

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Two applications of the thermoeconomic analysis technique have been performed to an interesting and complex system, which is an integrated dual plant composed of a steam power plant and a multi-stage desalination plant. A complete exergy and thermoeconomic costs analysis of different plant performances and the diagnosis of inefficiencies in a plant component are discussed in this paper. The results show that the knowledge of the physical cost of the two products of the plant and also the intermediate costs of every plant flowstream are essential to manage the plant in the best feasible condition. The inefficiency diagnosis computes the penalties of those inefficiencies, translates them into economical charges, and allows unexpected relationships between different plant components to be discovered.

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Keshavarzian, Sajjad, Matteo V. Rocco et Emanuela Colombo. « Thermoeconomic diagnosis and malfunction decomposition : Methodology improvement of the Thermoeconomic Input-Output Analysis (TIOA) ». Energy Conversion and Management 157 (février 2018) : 644–55. http://dx.doi.org/10.1016/j.enconman.2017.12.021.

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Gorji-Bandpy, Mofid, et Hamed Goodarzian. « Exergoeconomic optimization of gas turbine power plants operating parameters using genetic algorithms : A case study ». Thermal Science 15, n^o 1 (2011) : 43–54. http://dx.doi.org/10.2298/tsci101108010g.

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Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. This can play a vital role in the analysis, design and optimization of thermal systems. Thermoeconomic optimization is a powerful and effective tool in finding the best solutions between the two competing objectives, minimizing economic costs and maximizing exergetic efficiency. In this paper, operating parameters of a gas turbine power plant that produce 140MW of electricity were optimized using exergoeconomic principles and genetic algorithms. The analysis shows that the cost of final product is 9.78% lower with respect to the base case. This is achieved with 8.77% increase in total capital investment. Also thermoeconomic analysis and evaluation were performed for the gas turbine power plant. The results show the deep relation of the unit cost on the change of the operating parameters.

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Castro-Hernández, Sergio, Teresa López-Arenas, Edgar Vicente Torres-González, Helen Lugo-Méndez et Raúl Lugo-Leyte. « Thermoeconomic Diagnosis of the Sequential Combustion Gas Turbine ABB/Alstom GT24 ». Energies 15, n^o 2 (17 janvier 2022) : 631. http://dx.doi.org/10.3390/en15020631.

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In this study, we used the thermoeconomic theory to evaluate the impact of residue cost formation on the cost of electricity generated from natural gas burned in a gas turbine that applied sequential combustion; we also analyzed the impact of the combustion process on the additional fuel consumption to compensate for a malfunction component. We used the Alstom GT24 gas turbine, which applied sequential combustion and generated 235 MW of power. Thermoeconomic analysis indicated that the exergy cost of power generation was 626.33 MW (30.42% corresponded to irreversibility costs, and 29.22% and 2.84% corresponded to the formation costs of physical and chemical residues, respectively). The exergoeconomic production cost of gas turbine was 10,098.71 USD/h, 34.76% from external resources and 65.24% from capital and operating costs. Thermoeconomic diagnosis revealed that a compressor deterioration (of 1-% drop in the isentropic efficiency) resulted in an additional fuel consumption of 4.05 MW to compensate for an increase in irreversibilities (1.97 MW) and residues (2.08 MW); the compressor generated the highest cost (49.9% of additional requirement). Thus, our study can identify the origin of anomalies in a gas-turbine system and explain their effects on the rest of the components.

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Yang, Tao, Jian Qun Xu, Ling Li, Ke Yi Zhou et Yong Feng Shi. « Combining Diagnosis Methods for the Fouling on Flow Path of Steam Turbine ». Advanced Materials Research 516-517 (mai 2012) : 577–84. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.577.

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The fouling on flow path of steam turbine would lead to the changes of thermal parameters and significantly deteriorated efficiency. In this paper, a qualitative analysis of fouling on flow path based on measured parameters was described for the preliminary diagnosis, and the zooming thermoeconomic diagnosis model combined with the equivalent flow area diagnosis model was proposed to diagnose the specific location of fault. Then the flow performance of a 630 MW supercritical unit was analyzed, and the possible fouling stages were also discussed according to the thermoeconomic diagnosis and quantitative analysis. The result of diagnosis was consistent with the situation of uncovering cylinder, which indicated that though the actual system was complex, the coupling multiple faults of flow path could be diagnosed by combining the above diagnosis models.

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Verda, Vittorio, Luis Serra et Antonio Valero. « Thermoeconomic Diagnosis : Zooming Strategy Applied to Highly Complex Energy Systems. Part 1 : Detection and Localization of Anomalies* ». Journal of Energy Resources Technology 127, n^o 1 (1 mars 2005) : 42–49. http://dx.doi.org/10.1115/1.1819315.

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This paper presents a summary of our most recent advances in Thermoeconomic Diagnosis, developed during the last three years, and how they can be integrated in a zooming strategy oriented toward the operational diagnosis of complex systems. In fact, this paper can be considered a continuation of the work presented at the International Conference ECOS’99 in which the concepts of malfunction (intrinsic and induced) and dysfunction were analyzed in detail. These concepts greatly facilitate and simplify the analysis, the understanding, and the quantification of how the presence of an anomaly, or malfunction, affects the behavior of the other plant devices and of the whole system. However, what remains unresolved is the so-called inverse problem of diagnosing, i.e., given two states of the plant (actual and reference operating conditions), find the causes of deviation of the actual conditions with respect to the reference conditions. The present paper tackles this problem and describes significant advances in addressing how to locate the actual causes of malfunctions, based on the application of procedures for filtering induced effects that hide the real causes of degradation. In this paper a progressive zooming thermoeconomic diagnosis procedure, which allows one to concentrate the analysis in an ever more specific zone is described and applied to a combined cycle. In an accompanying paper the accuracy of the diagnosis results is discussed, depending on choice of the thermoeconomic model.

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Traverso, Alberto, et Aristide F. Massardo. « Thermoeconomic analysis of mixed gas–steam cycles ». Applied Thermal Engineering 22, n^o 1 (janvier 2002) : 1–21. http://dx.doi.org/10.1016/s1359-4311(01)00064-3.

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KUMMEL, R., H. GROSCURTH et U. SCHUBLER. « Thermoeconomic analysis of technical greenhouse warming mitigation ». International Journal of Hydrogen Energy 17, n^o 4 (avril 1992) : 293–98. http://dx.doi.org/10.1016/0360-3199(92)90005-h.

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Sangi, Roozbeh, Paula Martínez Martín et Dirk Müller. « Thermoeconomic analysis of a building heating system ». Energy 111 (septembre 2016) : 351–63. http://dx.doi.org/10.1016/j.energy.2016.05.112.

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Agudelo, Andrés, Antonio Valero et César Torres. « Allocation of waste cost in thermoeconomic analysis ». Energy 45, n^o 1 (septembre 2012) : 634–43. http://dx.doi.org/10.1016/j.energy.2012.07.034.

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Tsatsaronis, George. « Thermoeconomic analysis and optimization of energy systems ». Progress in Energy and Combustion Science 19, n^o 3 (janvier 1993) : 227–57. http://dx.doi.org/10.1016/0360-1285(93)90016-8.

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Fiorini, P., et E. Sciubba. « Thermoeconomic analysis of a MSF desalination plant ». Desalination 182, n^o 1-3 (novembre 2005) : 39–51. http://dx.doi.org/10.1016/j.desal.2005.03.008.

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Mabrouk, Abdulnasser A., A. S. Nafey et H. E. S. Fath. « Thermoeconomic analysis of some existing desalination processes ». Desalination 205, n^o 1-3 (février 2007) : 354–73. http://dx.doi.org/10.1016/j.desal.2006.02.059.

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Yildiz, Abdullah. « Thermoeconomic analysis of diffusion absorption refrigeration systems ». Applied Thermal Engineering 99 (avril 2016) : 23–31. http://dx.doi.org/10.1016/j.applthermaleng.2016.01.041.

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Liu, Sha, et Pei Hong Wang. « Calculation Model of Exergy Cost Based on Thermoeconomics Structure Theory and Thermoeconomics Accounting Mode ». Applied Mechanics and Materials 313-314 (mars 2013) : 1148–52. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.1148.

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Thermoeconomics combines the thermodynamic analysis and economics evaluation, and simultaneously considers the thermodynamics and economics effect of the process of energy conversion in power plant. It becomes the focus of research. This paper mainly discusses the establishment method of the exergy cost equation in thermoeconomics structure theory, at the same time this method also combines with thermoeconomics accounting theory. Through the research, this paper presents a clear, simple, utility exergy cost equation established method. Compared with the chain differential principle, this method has the advantages of a simple form of expression and faster calculation speed. The method is applied to an actual 600MW power plant, established exergy cost equation and obtained the exergy cost for each component.The exergy cost concept is used to evaluate the production performance of the major equipment, to find the reason of production cost growing and direct the thermal power systems exergy optimization.

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Verda, Vittorio, Luis Serra et Antonio Valero. « Thermoeconomic Diagnosis : Zooming Strategy Applied to Highly Complex Energy Systems. Part 2 : On the Choice of the Productive Structure* ». Journal of Energy Resources Technology 127, n^o 1 (1 mars 2005) : 50–58. http://dx.doi.org/10.1115/1.1819314.

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The thermoeconomic diagnosis strategy introduced in the accompanying paper [Verda, V., Serra, L., Valero, A. 2004. Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems. Part 1: Detection and Localization of Anomalies. Part 1: The diagnosis procedure. ASME J. Energy Resour. Technol. 127(1), pp. 42–49. This issue.] is a zooming technique consisting of a successive localization of anomalies. At each step the required productive structure to be adopted becomes even more detailed, focusing the analysis on a more specific part of the system. The detail of a productive structure has two different levels: the number of components and the number of productive flows. The first one is selected according to the precision desired in locating the anomalies. A larger number of components (or subsystems) allows one to locate the anomalies in smaller control volumes, providing more precise indications for maintenance. The number of flows is partially dependent on the number of components. Once the number of components is fixed, the productive flows can be increased by separating exergy into its components or introducing fictitious flows, such as negentropy [see, for example, C. A. Frangopoulos, Energy, The International Journal 12(7), pp. 563–571 (1987)]. This decision also affects the results of the thermoeconomic analysis when it is adopted for diagnosis purposes. In this paper, the effects of the productive structure on the diagnosis results are carefully analyzed. Depending on the selected productive structure, the accuracy of the diagnosis results can be significantly improved.

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Taheri, Kamran, et Rainer Gadow. « Industrial compressed air system analysis : Exergy and thermoeconomic analysis ». CIRP Journal of Manufacturing Science and Technology 18 (août 2017) : 10–17. http://dx.doi.org/10.1016/j.cirpj.2017.04.004.

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Gesteira, Luis Gabriel, Javier Uche, Francesco Liberato Cappiello et Luca Cimmino. « Thermoeconomic Optimization of a Polygeneration System Based on a Solar-Assisted Desiccant Cooling ». Sustainability 15, n^o 2 (12 janvier 2023) : 1516. http://dx.doi.org/10.3390/su15021516.

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This paper presents a thermoeconomic analysis of a polygeneration system based on solar-assisted desiccant cooling. The overall plant layout supplies electricity, space heating and cooling, domestic hot water, and freshwater for a residential building. The system combines photovoltaic/thermal collectors, photovoltaic panels, and a biomass boiler coupled with reverse osmosis and desiccant air conditioning. The plant was modeled in TRNSYS and simulated for 1 year. A parametric study defined the system’s setup. A thermoeconomic optimization determined the set of parameters that minimize the simple payback period. The optimal structure showed a total energy efficiency of 0.49 for the solar collectors and 0.16 for the solar panels. The coefficient of performance of the desiccant air conditioning was 0.37. Finally, a sensitivity analysis analyzed the influence of purchase electricity and natural gas costs and the electricity sell-back price on the system. The optimum simple payback was 20.68 years; however, the increase in the energy cost can reduce it by up to 85%.

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Mariappan, V., M. Udayakumar et Sah Md Fahim Anwar. « Thermoeconomic Analysis of R134a-DMAC Vapour Absorption Refrigeration System ». Applied Mechanics and Materials 592-594 (juillet 2014) : 1837–41. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1837.

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This study focuses on the analysis of Tetrafluoroethane-Dimethylacetamide (R134a-DMAC) VAR system based on both thermodynamic and economic point of view and optimal operating parameter are proposed. In thermodynamic analysis mass flow rates, temperature, pressure, enthalpy, mass fraction and exergy of various state points are determined and based on the above state point properties the system COP and exergetic efficiency are calculated. Simplified cost minimization methodology is applied to evaluate the economic costs of all the internal flows and products of the system by formulating exergoeconomic cost equations. Thermoeconomic comparisons are made between this system and H2O-LiBr and NH3-H2O. It is found that thermodynamic performance of H2O-LiBr is better than NH3-H2O and R134a-DMAC systems whereas thermoeconomic performance of R134a-DMAC is better than the other two systems. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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Kumar, Rakesh, et Mahesh Kumar. « Thermoeconomic analysis of a modified jaggery making plant ». Heat Transfer 50, n^o 5 (5 mars 2021) : 4871–91. http://dx.doi.org/10.1002/htj.22107.

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d'Accadia, Massimo Dentice, et Filippo de Rossi. « Thermoeconomic analysis and diagnosis of a refrigeration plant ». Energy Conversion and Management 39, n^o 12 (août 1998) : 1223–32. http://dx.doi.org/10.1016/s0196-8904(98)00016-8.

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Rafael Barreda del Campo, Eduardo, Sérgio Augusto Araújo da Gama Cerqueira et Silvia Azucena Nebra. « Thermoeconomic analysis of a Cuban sugar cane mill ». Energy Conversion and Management 39, n^o 16-18 (novembre 1998) : 1773–80. http://dx.doi.org/10.1016/s0196-8904(98)00080-6.

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Lamas, Wendell de Queiroz, Jose Luz Silveira, Giorgio Eugenio Oscare Giacaglia et Luiz Octavio Mattos dos Reis. « Thermoeconomic analysis applied to an alternative wastewater treatment ». Renewable Energy 35, n^o 10 (octobre 2010) : 2288–96. http://dx.doi.org/10.1016/j.renene.2010.03.008.

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Singh, Gurjeet, P. J. Singh, V. V. Tyagi, P. Barnwal et A. K. Pandey. « Exergy and thermoeconomic analysis of cream pasteurisation plant ». Journal of Thermal Analysis and Calorimetry 137, n^o 4 (9 février 2019) : 1381–400. http://dx.doi.org/10.1007/s10973-019-08016-y.

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HAMED, O., H. ALWASHMI et H. ALOTAIBI. « Thermoeconomic analysis of a power/water cogeneration plant ». Energy 31, n^o 14 (novembre 2006) : 2699–709. http://dx.doi.org/10.1016/j.energy.2005.12.011.

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Lian, Z. T., K. J. Chua et S. K. Chou. « A thermoeconomic analysis of biomass energy for trigeneration ». Applied Energy 87, n^o 1 (janvier 2010) : 84–95. http://dx.doi.org/10.1016/j.apenergy.2009.07.003.

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Sahin, Bahri, Yasin Ust, Tamer Yilmaz et Ismail Hakki Akcay. « Thermoeconomic analysis of a solar driven heat engine ». Renewable Energy 31, n^o 7 (juin 2006) : 1033–42. http://dx.doi.org/10.1016/j.renene.2005.06.001.

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Romero-Ternero, Vicente, Lourdes García-Rodríguez et Carlos Gómez-Camacho. « Thermoeconomic analysis of a seawater reverse osmosis plant ». Desalination 181, n^o 1-3 (septembre 2005) : 43–59. http://dx.doi.org/10.1016/j.desal.2005.02.012.

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Kwak, Ho-Young, Yungpil You, Si-Doek Oh et Ha-Na Jang. « Thermoeconomic analysis of ground-source heat pump systems ». International Journal of Energy Research 38, n^o 2 (6 mars 2013) : 259–69. http://dx.doi.org/10.1002/er.3024.

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O'Brien, J. M., et P. K. Bansal. « Modelling of cogeneration systems. Part 2 : Development of a quasi-static cogeneration model (steam turbine cogeneration analysis) ». Proceedings of the Institution of Mechanical Engineers, Part A : Journal of Power and Energy 214, n^o 2 (1 mars 2000) : 125–43. http://dx.doi.org/10.1243/0957650001538236.

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Steam turbine cogeneration analysis (STuCA) is a quasi-static cogeneration plant model that has been developed to simulate steam turbine cogeneration plants subject to varying loads. STuCA was developed to provide potential cogeneration plant users with a model that could simulate part-load performance over the expected operating range of the cogeneration plant using fundamental engineering analysis methods. The model was designed to bridge the gap between static design-point models that could not accommodate part-load conditions and complex part-load models which are too expensive for small scale cogeneration proposals. In addition, the model contains economic analysis tools to analyse the thermoeconomic performance of the plant and to conduct a cash flow analysis. These features are an extension to the static and part-load models. The model consists of four submodels: a load, system, plant and economic model. The load submodel drives the cogeneration plant simulation, supplying utility demands to the system models. The system submodels calculate the steam required by the system components to meet the utility demands. The plant submodel then predicts turbine and boiler performance as they meet the steam demand. The primary plant submodel outputs are the electricity generated and quantity of coal consumed by the boiler, which are used by the economic submodel to conduct a thermoeconomic analysis of the site as well as a discounted cash flow analysis. This method of modelling results in a model that can predict plant performance with respect to varying load and then use those data to conduct a meaningful economic performance analysis of the site.

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Zubair, S. M., P. V. Kadaba et R. B. Evans. « Second-Law-Based Thermoeconomic Optimization of Two-Phase Heat Exchangers ». Journal of Heat Transfer 109, n^o 2 (1 mai 1987) : 287–94. http://dx.doi.org/10.1115/1.3248078.

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This paper presents a closed-form analytical method for the second-law-based thermoeconomic optimization of two-phase heat exchangers used as condensers or evaporators. The concept of “internal economy” as a means of estimating the economic value of entropy generated (due to finite temperature difference heat transfer and pressure drops) has been proposed, thus permitting the engineer to trade the cost of entropy generation in the heat exchanger against its capital expenditure. Results are presented in terms of the optimum heat exchanger area as a function of the exit/inlet temperature ratio of the coolant, unit cost of energy dissipated, and the optimum overall heat transfer coefficient. The total heat transfer resistance represented by (1/U = C1 + C2 Re−n) in the present analysis is patterned after Wilson (1915) which accommodates the complexities associated with the determination of the two-phase heat transfer coefficient and the buildup of surface scaling resistances. The analysis of a water-cooled condenser and an air-cooled evaporator is presented with supporting numerical examples which are based on the thermoeconomic optimization procedure of this paper.

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