Energy, exergy and environmental-based design and multiobjective optimization of a novel solar-driven multi-generation system

Colakoglu, Mert; Durmayaz, Ahmet

doi:10.1016/j.enconman.2020.113603

Cited by 63 publications

(7 citation statements)

References 59 publications

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“…Most studies have used solar temperature (Tsun) to calculate the exergy of the solar collectors. Nevertheless, according to the study conducted by Colakoglu and et al [41], the use of Tsun is apparently valid only on the surface of the sun. Owing to solar collectors are located on the earth's surface (not the sun's surface), and a solar system on the earth's surface can only use solar heat flux, TCPC should be utilized.…”

Section: Table 3 Equations Used In the Solar Collectorsmentioning

confidence: 99%

“…Solar receiver temperature is related to the collecting efficiency as Eq. ( 2) [41].…”

Section: Table 3 Equations Used In the Solar Collectorsmentioning

confidence: 99%

“…where σ is the Stefan-Boltzmann constant, Gt is the solar heat flux on the CPC surface, C is the concentration ratio of solar collector, and is the collector efficiency, which is defined according to design conditions (in the present study is assumed 0.55) [41].…”

Section: Table 3 Equations Used In the Solar Collectorsmentioning

confidence: 99%

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Energy, exergy, exergoeconomic, and exergoenvironmental analyses and multi-objective optimization of a CPC driven solar combined cooling and power cycle with different working fluids

Zandi

Mofrad

Moradifaraj

et al. 2021

International Journal of Thermodynamics

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This paper aims to provide comprehensive 4E (energy, exergy, exergoeconomic, and exergoenvironmental) and advanced exergy analyses of the Refrigeration Cycle (RC) and Heat Recovery Refrigeration Cycle (HRRC) and comparison of the performance with R744 (CO2) and R744A (N2O) working fluids. Moreover, multi-objective optimization of the systems has been considered to define the optimal conditions and the best cycle from various perspectives. In HRRC, heat recovery is used as a heat source for an organic Rankine cycle. The energy and exergy analysis results show that utilizing HRRC with both refrigerants increases the coefficient of performance (COP) and exergy efficiency. COP and exergy efficiency for HRRC-R744 have been obtained 2.82 and 30.7%, respectively. Due to the better thermodynamic performance of HRRC, other analyses have been performed on this cycle. Exergoeconomic analysis results show that using R744A leads to an increase in the total product cost. Total product cost with R744 and R744A have been calculated by 1.56 $/h and 1.96$/h, respectively. Additionally, to obtain the processes' environmental impact, Life Cycle Assessment (LCA) is used. Exergoenvironmental analysis showed that using R744A increases the product environmental impact by 32%. Owning to the high amount of endogenous exergy destruction rate in the compressor and ejector compared to other equipment, they have more priority for improvement. Multi-objective optimization has been performed with exergy efficiency and total product cost objective functions as well as COP and product environmental impact for both refrigerants, which indicates that HRRC-R744 has better performance economically and environmentally. In optimal condition, the value of exergy efficiency, total product cost, COP, and the product environmental impact have been accounted for by 28.51%, 1.44 $/h, 2.76, and 149.01 mpts/h, respectively.

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Section: Table 3 Equations Used In the Solar Collectorsmentioning

confidence: 99%

“…Solar receiver temperature is related to the collecting efficiency as Eq. ( 2) [41].…”

Section: Table 3 Equations Used In the Solar Collectorsmentioning

confidence: 99%

See 1 more Smart Citation

Energy, exergy, exergoeconomic, and exergoenvironmental analyses and multi-objective optimization of a CPC driven solar combined cooling and power cycle with different working fluids

Zandi

Mofrad

Moradifaraj

et al. 2021

International Journal of Thermodynamics

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“…In general, there is a better collection of solutions for one or more objectives in MOO issues than in other areas. This solution is called Pareto-optimal solutions or non-dominated solutions [ 7 , 31 ]. Sukpancharoen et al.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective atom search optimization of biodiesel production from palm empty fruit bunch pyrolysis

Junsittiwate

Srinophakun

Sukpancharoen

2022

Heliyon

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“…1 Multi-energy carrier system (MECS) is a developing phenomenon to compensate for some existing deficiencies regarding the energy conversion methods. 2 Investigation of an MECS could be achieved in the viewpoint of design optimization 3 or operational optimization procedures. 4 The comprehensive review article of Sadeghi et al 5 demonstrates that the energy hub concept is a powerful tool for simulating multi-energy systems.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective operational optimization of energy hubs: Developing a novel dynamic energy storage hub concept using ammonia as storage

Nozari

Yaghoubi

Jafarpur

et al. 2022

Intl J of Energy Research

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Summary Optimal operational planning of multi‐energy systems is a major concern regarding the technoeconomic and environmental objectives. Considering the requirements for energy storage in energy hubs, different energy storage models have been studied in the literature. However, proposing a comprehensive multi‐storage model is a necessity in this context. In the present research, a multiobjective optimization model has been developed to determine the optimal operational scenario in an energy hub. The novel dynamic energy storage hub (DESH) concept with interconnected short‐ and long‐term electricity storage facilities is well defined. Also, the synergy advantageous due to the connection of thermal and electrical storage units through the DESH scheme is proposed. Moreover, technoeconomic merits of storing surplus power in hybrid energy systems using ammonia as the energy carrier in presence of renewable energy sources (RES) are investigated. In this regard, the effects of different meteorological conditions and also various time horizons have been examined for a commercial consumer. The current results show the applicability of the proposed model for increasing the energy hub performance considering defined assessment tools. Compared with the base case, results for a 3‐day operating plan of the DESH in April reveal that exergy destruction and operational costs for the best operating scenario are decreased by 24.36% and 21.63%, respectively. Also, the energy hub produces 3.5 tons of ammonia utilizing the available surplus power of the conventional power plant and RES. Furthermore, it is demonstrated that adding environmental penalty costs in the optimization model increases the operational costs by 21% and decreases the available surplus power of in‐service gas turbogenerators for storage up to 54% in the best operating scenario.

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Energy, exergy and environmental-based design and multiobjective optimization of a novel solar-driven multi-generation system

Cited by 63 publications

References 59 publications

Energy, exergy, exergoeconomic, and exergoenvironmental analyses and multi-objective optimization of a CPC driven solar combined cooling and power cycle with different working fluids

Energy, exergy, exergoeconomic, and exergoenvironmental analyses and multi-objective optimization of a CPC driven solar combined cooling and power cycle with different working fluids

Multi-objective atom search optimization of biodiesel production from palm empty fruit bunch pyrolysis

Multiobjective operational optimization of energy hubs: Developing a novel dynamic energy storage hub concept using ammonia as storage

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