2019
DOI: 10.1002/est2.71
|View full text |Cite
|
Sign up to set email alerts
|

Performance assessment of a solar tower‐based multigeneration system with thermal energy storage

Abstract: In this study, a thermodynamic analysis of a newly developed solar power tower‐based multigeneration plant is presented. This plant is integrated with thermal energy storage option in order to overcome intermittency of solar radiation. The proposed integrated multigenerational plant consists of the solar tower with thermal energy storage, Rankine cycle, organic Rankine cycle, absorption cooling cycle, hydrogen production and compression unit, hot water production and drying process. The overall energy and exer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 36 publications
0
5
0
Order By: Relevance
“…In this context, a second group of papers optimizes the global performance of the application in which the TES system is integrated. [29][30][31] Nevertheless, a deep knowledge of the process under analysis is required for the second group and they depend on intricate simulations that are notably time-consuming. On the other hand, the increasing advancement of low-cost IoT devices and simulation tools together with data analysis techniques is expected to make the process modeling easier and faster at a reasonable cost and remove the barriers for complex simulations in near future.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this context, a second group of papers optimizes the global performance of the application in which the TES system is integrated. [29][30][31] Nevertheless, a deep knowledge of the process under analysis is required for the second group and they depend on intricate simulations that are notably time-consuming. On the other hand, the increasing advancement of low-cost IoT devices and simulation tools together with data analysis techniques is expected to make the process modeling easier and faster at a reasonable cost and remove the barriers for complex simulations in near future.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, it is crucial to devise design methods that enable a TES system to meet the particular requirements of a given thermal application. In this context, a second group of papers optimizes the global performance of the application in which the TES system is integrated 29‐31 . Nevertheless, a deep knowledge of the process under analysis is required for the second group and they depend on intricate simulations that are notably time‐consuming.…”
Section: Introductionmentioning
confidence: 99%
“…Yuksel et al 39 performed a thermodynamic assessment of a multigeneration system driven by a solar tower unit. The proposed system was employed for simultaneous production of power, cooling, hydrogen, hot water, and provision of the drying process.…”
Section: Introductionmentioning
confidence: 99%
“…14 Yuksel et al, by the performance assessment of a solar towerbased multigeneration system, determines those factors that maximize the benefits from the integration of a TES system. 15 Although these approaches consider the overall performance of the application, they require a deep knowledge on the process and rely on complex simulations that are highly time-consuming.…”
Section: Introductionmentioning
confidence: 99%
“…Others used the potential of more sophisticated optimization tools, such as Lin et al who used a genetic algorithm to optimize the design and operation of an LHTES system in a solar air system13 and Oró et al, who used TRNSYS and GenOpt for the optimization of a TES system integrated in a data centre 14. Yuksel et al, by the performance assessment of a solar tower‐based multigeneration system, determines those factors that maximize the benefits from the integration of a TES system 15. Although these approaches consider the overall performance of the application, they require a deep knowledge on the process and rely on complex simulations that are highly time‐consuming.…”
Section: Introductionmentioning
confidence: 99%