Sodium thermal electrochemical converter coupled with organic Rankine cycle and thermochemical heat storage for power-heat-power application

Hofsink, Jordy; Singh, Abhishek K.

doi:10.1016/j.renene.2023.119815

Renewable Energy

2024

DOI: 10.1016/j.renene.2023.119815

|View full text |Cite

Sodium thermal electrochemical converter coupled with organic Rankine cycle and thermochemical heat storage for power-heat-power application

Jordy Hofsink,

Abhishek K. Singh

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Strategic integration of adiabatic compressed air energy storage in urban buildings: Enhancing energy efficiency through gray wolf optimizer-enhanced dynamic simulation framework

Ali,

Basem,

Jasim

et al. 2024

Journal of Energy Storage

View full text Add to dashboard Cite

Strategic integration of adiabatic compressed air energy storage in urban buildings: Enhancing energy efficiency through gray wolf optimizer-enhanced dynamic simulation framework

Ali,

Basem,

Jasim

et al. 2024

Journal of Energy Storage

View full text Add to dashboard Cite

Innovative biomass waste heat utilization for green hydrogen production: A comparative and optimization study of steam and organic rankine cycles

Ajaj,

M. Ali,

Kumar

et al. 2024

Process Safety and Environmental Protection

View full text Add to dashboard Cite

Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm

Hai,

Shami,

Saleh

et al. 2024

International Journal of Low-Carbon Technologies

View full text Add to dashboard Cite

Amidst the increasing incorporation of multicarrier energy systems in the industrial sector, this article presents a detailed stochastic methodology for the optimal operation and daily planning of an integrated energy system that includes renewable energy sources, adaptive cooling, heating, and electrical loads, along with ice storage capabilities. To address this problem, it applies the 2 m + 1 point estimation method to accurately assess system uncertainties while minimizing computational complexity. The “2 m + 1 point” technique swiftly evaluates unpredictability through Taylor series calculations, capturing deviations in green energy output, and the demand for both electric and thermal energy across power networks, while also considering the oscillating costs associated with senior energy transmission systems. In addition, this article proposes a novel self-adaptive optimization technique, called the enhanced self-adaptive mucilaginous fungus optimization algorithm (SMSMA), dedicated to overcoming the intricate nonlinear challenges inherent in the optimal daily operation of an energy system. The advanced self-adaptive strategy relies on wavelet theory to enhance the capability and effectiveness of the original mucilaginous fungus algorithm in optimizing daily schedules for an integrated energy system. Numerical analyses demonstrate that the introduced stochastic daily scheduling framework, coupled with the SMSMA optimization algorithm, effectively reduces the operating costs of the energy system.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Sodium thermal electrochemical converter coupled with organic Rankine cycle and thermochemical heat storage for power-heat-power application

Cited by 3 publications

References 22 publications

Strategic integration of adiabatic compressed air energy storage in urban buildings: Enhancing energy efficiency through gray wolf optimizer-enhanced dynamic simulation framework

Strategic integration of adiabatic compressed air energy storage in urban buildings: Enhancing energy efficiency through gray wolf optimizer-enhanced dynamic simulation framework

Innovative biomass waste heat utilization for green hydrogen production: A comparative and optimization study of steam and organic rankine cycles

Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm

Contact Info

Product

Resources

About