Study on thermodynamic performance of SOFC-CCHP system integrating ORC and double-effect ARC

Zeng, Rong; Guo, Baoxin; Zhang, Xiaofeng; Li, Hongqiang; Zhang, Guoqiang

doi:10.1016/j.enconman.2021.114326

Cited by 47 publications

(3 citation statements)

References 31 publications

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“…The voltage of the SOFC can be expressed as:

V_{italicSOFC} = E_{r} - V_{italicloss}

where E r is the Nernst voltage. V loss is the total voltage loss, which includes the activation overvoltage ( V act ), ohmic overvoltage ( V ohm ), and the concentration overvoltage ( V conc ), and its calculation formulas are as follows:

({, \begin{matrix} \begin{matrix} right center left3pttrue \\ E_{r} & = & - \frac{{normalΔ G}^{0}}{n_{e} F} + \frac{R T_{italicSOFC}}{n_{e} F} ln (\frac{P_{H_{2}} \sqrt{P_{O_{2}}}}{P_{H_{2} O}}) \\ = & E_{0} + \frac{R T_{italicSOFC}}{n_{e} F} ln (\frac{P_{H_{2}} \sqrt{P_{O_{2}}}}{P_{H_{2} O}}) \end{matrix} \\ E_{0} goodbreak= 1.253 goodbreak- 2.4516 goodbreak\times 10^{- 4} T \\ V_{loss} goodbreak= \begin{matrix} lefttrue \\ (V_{act, an} + V_{act, cat}) + V_{italicohm} \\ + (V_{italiccont, an} + V_{cont, cat}) \end{matrix} \end{matrix})

The following formulas can be used to calculate the aforementioned voltage losses 19,41,42 :

\{\begin{matrix} V_{act, an} = \frac{2 RT}{n_{e} F} \ln [()] \end{matrix}

…”

Section: Mathematical Modelmentioning

confidence: 99%

Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

Pan

Binama

et al. 2022

Intl J of Energy Research

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Summary A multigeneration system comprising solid oxide fuel cell, compressed air energy storage, gas turbine, supercritical CO2 recompression Brayton cycle (S‐CO2), and organic flash Rankine cycle (OFRC) based on liquefied natural gas cold energy is proposed. The system integrates peak shaving, heating, cooling, power generation, and energy storage, solving the imbalance between the supply and demand of renewable energy. It is comprehensively analyzed from the thermodynamic, economic, and exergoeconomic perspectives to evaluate the performance of the three phases (full time, charging period, and discharging period). The evaluation shows that the exergy analysis of the multigeneration system alone is not comprehensive, and the exergoeconomic analysis is more necessary. Additionally, the S‐CO2 coupled with the OFRC generates power in a more efficient way than the S‐CO2 coupled with the Organic Rankine cycle (ORC) or Organic Flash cycle (OFC) does. Finally, the NSGA‐II and multi‐objective whale algorithms are employed to optimize the system. The results show that the multi‐objective whale algorithm is slightly better than the NSGA‐II. Moreover, the optimized round‐trip efficiency (RTE) and levelized cost of electricity (LCOE) are 68.64% and 0.053 $ kWh−1, respectively. Compared with the base design point, the RTE improves by 1.93%, and the LCOE decreases by 3.64%.

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“…The voltage of the SOFC can be expressed as:

V_{italicSOFC} = E_{r} - V_{italicloss}

({, \begin{matrix} \begin{matrix} right center left3pttrue \\ E_{r} & = & - \frac{{normalΔ G}^{0}}{n_{e} F} + \frac{R T_{italicSOFC}}{n_{e} F} ln (\frac{P_{H_{2}} \sqrt{P_{O_{2}}}}{P_{H_{2} O}}) \\ = & E_{0} + \frac{R T_{italicSOFC}}{n_{e} F} ln (\frac{P_{H_{2}} \sqrt{P_{O_{2}}}}{P_{H_{2} O}}) \end{matrix} \\ E_{0} goodbreak= 1.253 goodbreak- 2.4516 goodbreak\times 10^{- 4} T \\ V_{loss} goodbreak= \begin{matrix} lefttrue \\ (V_{act, an} + V_{act, cat}) + V_{italicohm} \\ + (V_{italiccont, an} + V_{cont, cat}) \end{matrix} \end{matrix})

The following formulas can be used to calculate the aforementioned voltage losses 19,41,42 :

\{\begin{matrix} V_{act, an} = \frac{2 RT}{n_{e} F} \ln [()] \end{matrix}

…”

Section: Mathematical Modelmentioning

confidence: 99%

Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

Pan

Binama

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…For the network side, ref. [18] established a dynamic gas storage model of the multi-gas transmission network in HRIES and revealed that the storage characteristics can alleviate the uncertainty fluctuation of wind power. Ref.…”

Section: Introductionmentioning

confidence: 99%

Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System

Wu,

Fan,

Yan

et al. 2024

Sustainability

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The insufficient flexibility of the hybrid renewable integrated energy system (HRIES) causes renewable power curtailment and weak operational performance. The regulation potential of flexible buildings is an effective method for handling this problem. This paper builds a regulation model of flexible heat load according to the dynamic heat characteristics and heat comfort elastic interval of the buildings, as well as a regulation model of the flexible electrical load based on its transferability, resectability, and rigidity. An operation optimization model, which incorporates flexible regulation of multiple loads and a variable load of devices, is then developed. A case study is presented to analyze the regulation and synergy mechanisms of different types of loads. Its results show a saturation effect between heat and electrical loads in increasing renewable energy consumption and a synergistic effect in decreasing the operating cost. This synergy can reduce the operating cost by 0.73%. Furthermore, the operating cost can be reduced by 15.13% and the curtailment rate of renewable energy can be decreased by 12.08% when the flexible electrical and heat loads are integrated into the operation optimization of HRIES.

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“…The results exhibited that by growing the evaporator's mediocre temperature and reducing the generator's tolerable temperature, the COP and the exergy efficiency were promoted approximately 9.1% and 3.0%, respectively. Zeng et al 21 thermodynamics analyzed a combined cooling, heating, and power system (CCHP). The exergy destruction was compared between series and parallel modes in the system.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of avoidable and unavoidable exergy destructions in a parallel double‐effect LiBr–water absorption cooling system

Zendehnam

Pourfayaz

2022

Energy Science & Engineering

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A parametric study has been carried out based on advanced exergy assessment for a parallel double‐effect LiBr–water absorption chiller. The advanced exergy method provides the real potential of the equipment for improvement in the system by recognizing the avoidable irreversibilities. The sensitivity analysis of various parts of the exergy destruction (endogenous avoidable, endogenous unavoidable, exogenous avoidable, and exogenous unavoidable) in system components and the overall performance (coefficient of performance, exergy efficiency, and modified exergy efficiency) of the system has been done to identify the actual potential of different components of the system to improve the overall performance of the system relative to operational parameters. Operational parameters include the heat source temperature, heat sink temperature, and the difference between the absorption and condensation temperature. The results showed that by modifying and improving the performance of components, 18.5% of the total exergy destruction of the system could be reduced. The modified exergy efficiency reduces sharply (nearly 40%) with the rising heat sink temperature. The endogenous exergy destruction increases in all system components except the condenser and evaporator by the heat source temperature increase. With the increase in the heat sink temperature, the avoidable part of the total exergy destruction in the system increases due to the significant rise in the avoidable exogenous exergy destruction in the components, and the unavoidable endogenous exergy destruction decreases (more than 200%) in the absorber. Increasing the condensation temperature reduces the unavoidable endogenous exergy destruction in the components except for the low‐temperature heat exchanger.

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Study on thermodynamic performance of SOFC-CCHP system integrating ORC and double-effect ARC

Cited by 47 publications

References 31 publications

Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

Exergoeconomic analysis and multi‐objective whale optimization of an integrated solid oxide fuel cell and energy storage system using liquefied natural gas cold energy

Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System

Sensitivity analysis of avoidable and unavoidable exergy destructions in a parallel double‐effect LiBr–water absorption cooling system

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