Optimization of hybrid solar chimney power plants (HSCPPs): A review of multi-objective approaches

Dipak Kumar Mandal, Kritesh Kumar Gupta, Nirmalendu Biswas, Nirmal K. Manna, Somnath Santra and Ali Cemal Benim

Applied Energy, 2025, vol. 396, issue C, No S0306261925009444

Abstract: This comprehensive review examines the state-of-the-art developments in multi-objective optimization approaches for hybrid solar chimney power plants. The study examines practically relevant challenges of hybrid solar chimney power plant systems where the deployment of multi-objective optimization is critical. In terms of techniques used for multi-objective optimization, the presented review article chronologically discusses the evolution of optimization algorithms from scalarization to Pareto front-based evolutionary algorithms, and finally the integration of multi-objective optimization with machine learning frameworks. Through a detailed examination of 185 research works, this review identifies critical optimization challenges and emerging solutions in the field. This review highlights that while conventional optimization techniques have proven effective, modern hybrid algorithms that integrate evolutionary computation with machine learning methods offer enhanced performance in addressing the complex trade-offs involved in the design and operation of hybrid solar chimney power plants. Furthermore, the study identifies key areas for future research and offers insights on potential advancements, including real-time optimization and integration with smart grid systems. This work provides valuable information for both researchers and practitioners, keeping them informed on the latest developments in solar chimney-based energy systems and the role of multi-objective optimization in optimizing plant operations within the context of renewable energy applications.

Keywords: Hybrid solar chimney power plants; Multi-objective optimization; Renewable energy; Evolutionary algorithms; Machine learning; Smart grid integration; Energy efficiency (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925009444
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:396:y:2025:i:c:s0306261925009444

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126214

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().