sustainability-logo

Journal Browser

Journal Browser

Solar Cooling Innovations: Barriers, Opportunities, Capabilities, and Advancements

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 1756

Special Issue Editor


E-Mail Website
Guest Editor
Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849, USA
Interests: human comfort; air conditioning system; renewable energy; combustion; alternative fuel
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the demand for air conditioning in residential dwellings has expanded considerably due to the desire for greater thermal comfort inside buildings. Due to the close correlation between peak cooling loads and available solar power, solar cooling technologies represent a highly attractive approach and an appealing renewable solution for the planet with no harmful environmental effects. However, traditional refrigeration systems employ chlorofluorocarbon refrigerants, which cause ozone depletion and the accompanying greenhouse effect. Despite their potential benefits, current solar adsorption cooling systems are not economical enough to replace electricity-powered refrigerators because of higher costs, poorer coefficients of performance (COPs), and lower specific cooling power (SCP).

Solar cooling systems seem to represent a promising alternative to traditional cooling methods, particularly in developing countries and rural regions, where electricity is not commonly accessible, as well as in industrial countries where peak cooling demands coincide with available solar power. As a result, the articles within this Special Issue will examine the key characteristics of various solar cooling systems to identify the primary benefits, difficulties, drawbacks, and feasibility. Additional studies are required to minimize the production costs of solar cooling chillers and increase their commercial performance. Furthermore, the articles will provide decision-makers with practical advice for the selection of the best solar cooling technology for specific applications.

The objectives of the current Special Issue are to discuss promising, recent, and innovative research in solar cooling technologies. Original research, review articles, and theoretical and empirical investigations are all invited to be submitted. The areas of interest include, but are not limited to:

  • Absorption, adsorption, desiccant, ejector, thermoelectric, Rankine, and other solar-powered cooling methods.
  • Adaption machine learning, deep learning, and neural network approaches for the performance prediction of solar cooling technologies.
  • Recent developments, designs, trends, and innovations in solar-powered cooling systems.
  • The optimization of solar-assisted cooling technologies.
  • Simulation, modeling, and experimental research in solar air conditioning systems.
  • Assessing the impact of policy, regulations, barriers, and infrastructure on solar cooling technologies.
  • The life cycle assessment of solar energy systems.

Prof. Dr. Ali Alahmer
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • solar cooling
  • air conditioning system
  • machine learning
  • parameter optimization
  • absorption
  • adsorption
  • desiccant
  • ejector
  • life cycle assessment
  • solar cooling market development
  • energy storage in solar cooling
  • thermo-mechanical solar cooling

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 4689 KiB  
Article
Improving Automotive Air Conditioning System Performance Using Composite Nano-Lubricants and Fuzzy Modeling Optimization
by Ali Alahmer and Rania M. Ghoniem
Sustainability 2023, 15(12), 9481; https://doi.org/10.3390/su15129481 - 13 Jun 2023
Cited by 3 | Viewed by 1234
Abstract
This study aims to enhance the effectiveness of automobile air conditioning (AAC) systems through the use of composite nano-lubricants and fuzzy modeling optimization techniques. Composite nano-lubricants, which consist of varied metal oxide ingredients and content ratios, are projected to surpass single-component nano-lubricants in [...] Read more.
This study aims to enhance the effectiveness of automobile air conditioning (AAC) systems through the use of composite nano-lubricants and fuzzy modeling optimization techniques. Composite nano-lubricants, which consist of varied metal oxide ingredients and content ratios, are projected to surpass single-component nano-lubricants in terms of improving the performance of AAC systems. Fuzzy modeling is used to simulate the AAC system based on experimental data using three input parameters: volume concentration of nano-lubricants (%), the refrigerant charge (g), and compressor speed (rpm). The output performance of the AAC system is measured using four parameters: cooling capacity (CC) in kW, compressor work (CW) in kJ/kg, coefficient of performance (COP), and power consumption (PC) in kW. Optimization is performed using the marine predators algorithm (MPA) to identify the best values for the input control parameters. The objective function is to minimize CW, COP, and PC while simultaneously maximizing CC and COP. Results showed that the performance of the AAC system improved from 85% to 88% compared to the experimental dataset, highlighting the potential benefits of using composite nano-lubricants and fuzzy modeling optimization for improving the energy efficiency of AAC systems. Furthermore, a comprehensive comparison with ANOVA was performed to demonstrate the superiority of the fuzzy modeling approach. The results indicate that the fuzzy model outperforms ANOVA, as evidenced by a reduced root mean square error (RMSE) for all data, from 0.412 using ANOVA to 0.0572 using fuzzy. Additionally, the coefficient of determination for training increased from 0.9207 with ANOVA to 1.0 with fuzzy, further substantiating the success of the fuzzy modeling phase. Full article
Show Figures

Figure 1

Back to TopTop