Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study

Roshandel, Ramin; Golzar, Farzin; Astaneh, Majid

doi:10.1016/j.enconman.2018.02.023

Cited by 41 publications

(5 citation statements)

References 76 publications

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“…Generally speaking, H+SOFC working principles are based on partial hydrogen pressure differences between the anode and cathode side (see Figure 2), which force protons to pass from the anode side to the cathode. Hydrogen partial pressure on the cathode side must be very low (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) to obtain practical voltage values with a single cell, which can be achieved through the oxidation of fuel on the cathode side. Assuming chemical equilibrium conditions in the cathode channel, the partial pressure of hydrogen can be calculated based on the chemical equilibrium constant principle:…”

Section: Thermodynamicsmentioning

confidence: 99%

“…High temperature fuel cells are becoming an alternative to other energy systems . One major flaw is the capital investment cost, as the materials used to manufacture solid oxide fuel cells require high thermal resistance and durability , . Reliability and durability are key criteria for systems in order to gain market acceptance and establish a positive reputation .…”

Section: Introductionmentioning

confidence: 99%

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Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

et al. 2020

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The paper presents a review of thermal, flow, and material parameters from the perspective of modeling proton‐conducting solid oxide fuel cells (H+SOFC). Comments are offered regarding key parameters selected through research of the literature, featuring mostly material‐related properties of electrolyte and electrodes. Some general relationships are proposed here for the purpose of modeling H+SOFC. The most important parameter is fuel cell operational temperature. Next to the temperature, partial pressures of hydrogen on both sides of H+SOFC impact mainly maximum voltage. The materials from which the fuel cell is built do not directly affect the operation of the fuel cell in the sense that they can be taken as fixed values. Indirectly, their influence can be seen in the resistances, that electrolyte conducts for proton flux and electrodes for electrons. In some cases, double ion/electron conductivity may occur.

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Section: Thermodynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

et al. 2020

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“…The solid oxide FC (SOFC) 11‐13 is the most promising and appealing. SOFCs' advantages, such as fuel flexibility, low emissions, and high electrical efficiency, make them promising candidates in a variety of industries, including heat, and electricity cogeneration 14,15 . The research on improving the performance of SOFCs leads to the development of realistic models and the usage of various materials.…”

Section: Introductionmentioning

confidence: 99%

“…SOFCs' advantages, such as fuel flexibility, low emissions, and high electrical efficiency, make them promising candidates in a variety of industries, including heat, and electricity cogeneration. 14,15 The research on improving the performance of SOFCs leads to the development of realistic models and the usage of various materials. Because the voltage of the SOFC is closely reliant on the parameters that describe the internal processes, 16,17 the more accurate the model parameters are, the more efficient the performance enhancement because the SOFC is a multivariable coupled system, optimizing model parameters is a critical issue.…”

Section: Introductionmentioning

confidence: 99%

Optimal parameter estimation of solid oxide fuel cells model using bald eagle search optimizer

Abaza

El‐Sehiemy

El‐Fergany

et al. 2022

Intl J of Energy Research

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Summary In this article, a new nature‐inspired optimizer based on bald eagles' fish hunting behavior is proposed for accurate parameters estimation of the solid oxide fuel cells stack's model. The optimal estimated values of the seven control parameters are generated by the bald eagle search (BES) optimizer. These parameters have optimized the model of the solid oxide fuel cells stack and formulated it as an optimization problem with associated constraints. The employed BES optimizer is a flexible algorithm with a relatively large population size which effectively improves the optimization process and has the ability to be improved. The BES optimizer is smooth, rapid, and steady in the convergence process. The BES optimizer is a very simple algorithm that consists of three main stages which are selecting hunting space, searching in the hunting area, and swooping stage. The model of the stack is tested at four operating conditions at 3 bar and varied temperatures of 923/973/1023/1073 K. The BES optimizer leads to more accurate parameters with good convergences. The insignificant values of reported worst mean square errors of something around 4.7e‐6 V2 points out the full conformity and coincidence between actual and estimated dataset voltage points. In addition to that, the efficacy of the BES optimizer is assured by comparing the results to parameters estimated from some recent techniques. The cropped estimated polarization curves, V‐I and P‐I, are very close to the measured datasets at various operating conditions. Statistics metrics indicate the robustness and the viability of the BES compared to other recent challenging optimizers.

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“…Extensive research on CHP units has been carried out in literature. Many studies have used CHP to decrease power system operation costs [18], while some studies have used it for purposes like pollution reduction [19], system's operational efficiency improvement [20], increasing productivity of solar cells [21], increasing decentralized energy supply [22], improving system reliability [23], power peak shaving [24] and etc.…”

Section: Introductionmentioning

confidence: 99%

An innovative energy management framework for cooperative operation management of electricity and natural gas demands

Gholizadeh

Gharehpetian

Abedi

et al. 2019

Energy Conversion and Management

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Introduction of the power to gas and combined heat and power technologies, has led to remarkable interdependency between electrical and gas systems. By taking advantage of this interdependency, cleaner and more efficient energy management systems could be implemented. This paper attempts to establish an innovative energy management framework which takes advantage of this interdependency and devices like power to gas and combined heat and power to simultaneously smoothen electricity and natural gas demand profiles for a year ahead. The method outperforms this task using the electricity profile valleys to reduce peak natural gas consumption and using natural gas profile valleys to shave electricity consumption peak. In this way, the stress on both networks for supplying demand in peak periods is released. The proposed method is able to achieve demand smoothness and cost reduction objectives considering penalty factors for demand variance. For this purpose, multiple integrated energy hubs are used to simulate the energy consumption of an area. The designed mixed integer linear model is handled by General Algebraic Modeling Software and CPLEX solver. The results demonstrate that by applying the proposed method, the system is able to save 16.92% in the energy cost and decrease electricity and natural gas demand standard deviations by 8.34% and 66.64%, respectively.

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Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study

Cited by 41 publications

References 76 publications

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

Optimal parameter estimation of solid oxide fuel cells model using bald eagle search optimizer

An innovative energy management framework for cooperative operation management of electricity and natural gas demands

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