2024
DOI: 10.3390/buildings14041041
|View full text |Cite
|
Sign up to set email alerts
|

Energy and Economic Advantages of Using Solar Stills for Renewable Energy-Based Multi-Generation of Power and Hydrogen for Residential Buildings

Armida Bahrami,
Fatemeh Soltanifar,
Pourya Fallahi
et al.

Abstract: The multi-generation systems with simultaneous production of power by renewable energy, in addition to polymer electrolyte membrane electrolyzer and fuel cell (PEMFC-PEMEC) energy storage, have become more and more popular over the past few years. The fresh water provision for PEMECs in such systems is taken into account as one of the main challenges for them, where conventional desalination technologies such as reverse osmosis (RO) and mechanical vapor compression (MVC) impose high electricity consumption and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 52 publications
(52 reference statements)
0
1
0
Order By: Relevance
“…Seraj, Jahromi, and Amirkhani [22] develop a data-driven AI model for enhancing energy efficiency in UK residential buildings, highlighting the potential of machine learning in predicting energy performance under retrofit scenarios. Bahrami, Soltanifar, Fallahi, Meschi, and Sohani [23] explore the energy and economic advantages of using solar stills for renewable energy-based multi-generation, demonstrating the viability of solar desalination as a cost-effective alternative. Shi, Wang, Xu, Gao, Cao, Luo, Xi, and Zhang [24] examine the ecological compensation standard in Xinjiang, China, emphasizing the need for regionalized accounting frameworks to address ecological deficits and promote sustainable development.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…Seraj, Jahromi, and Amirkhani [22] develop a data-driven AI model for enhancing energy efficiency in UK residential buildings, highlighting the potential of machine learning in predicting energy performance under retrofit scenarios. Bahrami, Soltanifar, Fallahi, Meschi, and Sohani [23] explore the energy and economic advantages of using solar stills for renewable energy-based multi-generation, demonstrating the viability of solar desalination as a cost-effective alternative. Shi, Wang, Xu, Gao, Cao, Luo, Xi, and Zhang [24] examine the ecological compensation standard in Xinjiang, China, emphasizing the need for regionalized accounting frameworks to address ecological deficits and promote sustainable development.…”
Section: Literature Reviewsmentioning
confidence: 99%