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Numerical and Computing Methods in Sustainable Energy System for Built...
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Numerical and Computing Methods in Sustainable Energy System for Built Environment

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 6655

Special Issue Editors

Dr. Siti Diana Nabilah Mohd Nasir

E-Mail Website
Guest Editor
Department of Civil Engineering, Surveying and Construction Management, School of Engineering, and the Environment (SEE), Faculty of Engineering, Computing, and the Environment (ECE), Kingston University London, London, UK
Interests: sustainable built environment; sustainable and renewable energy technologies for built environment; building environment—indoor air quality, improved ventilation and thermal comfort; building physics—urban heat island (UHI) effect, air quality, numerical analysis of heat transfer
Dr. Eng Ofetotse

E-Mail Website
Guest Editor
Department of Civil Engineering, Surveying and Construction Management, School of Engineering, and the Environment (SEE), Faculty of Engineering, Computing, and the Environment (ECE), Kingston University London, London, UK
Interests: residential energy consumption trends; demand side management; energy load profiling; time use surveys; cluster analysis; energy demand modelling
Dr. Bukunmi Ogunsanya

E-Mail Website
Guest Editor
Department of Civil Engineering, Surveying and Construction Management, School of Engineering, and the Environment (SEE), Faculty of Engineering, Computing, and the Environment (ECE), Kingston University London, London, UK
Interests: sustainable built environment and procurement; structural equation model

Special Issue Information

Dear Colleagues,

Energy and electricity generation relying on non-renewable fossil fuels has accounted for 60–80% of global greenhouse gases emissions, a factor which is worsening the impacts of climate change (UNEP). The recent devastating floods in Pakistan demonstrated an example of how global activities have triggered global warming, which subsequently acts to intensify the monsoon rainfalls and cause frequent floods (BBC News, September 2022). Under “Sustainable Development Goal (SDG) 7: Affordable and Clean Energy” (UN DESA), one of the targets in reaching the net-zero emissions by 2050 is to inflate the international collaboration in facilitating access to promoting investment in sustainable energy technology by 2030. We have about 8 years to meet this target, and it is incumbent upon humanity to work hand in hand with the global community and opt for alternatives over non-renewables and reduce at least 50% of harmful gas emissions by 2030. The key resolution in tackling the climate challenge in this context is to offer sustainable, affordable, reliable, and clean energy strategies towards our locality, ensuring we are living in a safeguarded built environment. This Special Issue, entitled “Numerical and Computing Methods in Sustainable Energy System for Built Environment”, aims to publicize  scientific numerical research contributions towards to enhance the application of sustainable energy solutions by targeting nearly net-zero carbon emissions in the scope of the built environment i.e., buildings, facilities, and man-made infrastructures. The submitted manuscripts should adhere to the following themes, have novelty value and be innovative.

Dr. Siti Diana Nabilah Mohd Nasir
Dr. Eng Ofetotse
Dr. Bukunmi Ogunsanya
Guest Editors

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. Mathematics 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 2600 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

  • numerical modelling in sustainable energy systems
  • renewable energy harvesting
  • energy storage using renewables
  • thermal engineering
  • sustainable built environment
  • indoor environmental quality (IEQ)
  • energy efficiency in buildings
  • system simulation and statistical analysis

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Published Papers (3 papers)

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Research

20 pages, 15629 KiB  
Article
The Effect of Different Configurations of Copper Structures on the Melting Flow in a Latent Heat Thermal Energy Semi-Cylindrical Unit
by Mohamed Boujelbene, Amira M. Hussin, Seyed Abdollah Mansouri Mehryan and Mohsen Sharifpur
Mathematics 2023, 11(20), 4279; https://doi.org/10.3390/math11204279 - 13 Oct 2023
Cited by 4 | Viewed by 1663
Abstract
Utilizing latent heat thermal energy storage (LHTES) units shows promise as a potential solution for bridging the gap between energy supply and demand. While an LHTES unit benefits from the latent heat of the high-capacity phase change material (PCM) and experiences only minor [...] Read more.
Utilizing latent heat thermal energy storage (LHTES) units shows promise as a potential solution for bridging the gap between energy supply and demand. While an LHTES unit benefits from the latent heat of the high-capacity phase change material (PCM) and experiences only minor temperature variations, the low thermal conductivity of PCMs hinders the rapid adoption of LHTES units by the market. In this regard, the current work aims to investigate the thermal behavior of a semi-cylindrical LHTES unit with various copper fin configurations (including horizontal, inclined, and vertical fins) on the melting flow. The novelty of this research lies in the fact that no prior studies have delved into the impact of various fin structures on the thermal performance of a semi-cylindrical LHTES system. The nano-enhanced phase change material (NePCM) fills the void within the unit. The warm water enters the semicircular channel and transfers a portion of its thermal energy to the solid NePCM through the copper separators. It is found that the system experiences the highest charging capability when the fins are mounted horizontally and close to the adiabatic upper wall. Moreover, the presence of dispersed graphite nanoplatelets (GNPs) inside the pure PCM increases the charging power and temperature of the LHTES unit. Full article
(This article belongs to the Special Issue Numerical and Computing Methods in Sustainable Energy System for Built Environment)
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24 pages, 3249 KiB  
Article
An Enhanced Multi-Objective Optimizer for Stochastic Generation Optimization in Islanded Renewable Energy Microgrids
by Upasana Lakhina, Nasreen Badruddin, Irraivan Elamvazuthi, Ajay Jangra, Truong Hoang Bao Huy and Josep M. Guerrero
Mathematics 2023, 11(9), 2079; https://doi.org/10.3390/math11092079 - 27 Apr 2023
Cited by 7 | Viewed by 1862
Abstract
A microgrid is an autonomous electrical system that consists of renewable energy and efficiently achieves power balance in a network. The complexity in the distribution network arises due to the intermittent nature of renewable generation units and varying power. One of the important [...] Read more.
A microgrid is an autonomous electrical system that consists of renewable energy and efficiently achieves power balance in a network. The complexity in the distribution network arises due to the intermittent nature of renewable generation units and varying power. One of the important objectives of a microgrid is to perform energy management based on situational awareness and solve an optimization problem. This paper proposes an enhanced multi-objective multi-verse optimizer algorithm (MOMVO) for stochastic generation power optimization in a renewable energy-based islanded microgrid framework. The proposed algorithm is utilized for optimum power scheduling among various available generation sources to minimize the microgrid’s generation costs and power losses. The performance of MOMVO is assessed on a 6-unit and 10-unit test system. Simulation results show that the proposed algorithm outperforms other metaheuristic algorithms for multi-objective optimization. Full article
(This article belongs to the Special Issue Numerical and Computing Methods in Sustainable Energy System for Built Environment)
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19 pages, 10607 KiB  
Article
Low-Temperature Industrial Waste Heat (IWH) Recovery Using a New Design for Fast-Charging Thermal Energy Storage Units
by Mehdi Ghalambaz, Hani Abulkhair, Obai Younis, Mehdi Fteiti, Ali J. Chamkha, Iqbal Ahmed Moujdin and Abdulmohsen Omar Alsaiari
Mathematics 2023, 11(1), 153; https://doi.org/10.3390/math11010153 - 28 Dec 2022
Cited by 1 | Viewed by 2134
Abstract
The dynamic melting of CuO–coconut oil was addressed in a latent-heat thermal energy storage unit loaded with copper foam. In a new design, the thermal storage unit is made of a shell-tube-shaped chamber, in which a liquid flow of hot phase-change material (PCM) [...] Read more.
The dynamic melting of CuO–coconut oil was addressed in a latent-heat thermal energy storage unit loaded with copper foam. In a new design, the thermal storage unit is made of a shell-tube-shaped chamber, in which a liquid flow of hot phase-change material (PCM) is allowed to enter the chamber from a port at the bottom and exit at the top. A fin is mounted in the chamber to forward the entrance PCM liquid toward the solid regions. The control equations were solved using the finite element method. The impact of foam porosity, inlet pressure, fin length, and the concentrations of CuO nanoparticles on the thermal charging time of the chamber was investigated. A fast-charging time of 15 min with a foam porosity of 0.95 was achieved. A porosity of 0.95 can provide a maximum thermal charging power of 15.1 kW/kg. The inlet pressure was a significant parameter, and increasing the inlet pressure from 0.5 kPa to 4 kPa reduced the melting time by 2.6 times. The presence of the fin is not advantageous, and even a long fin could extend the thermal charging time. Moreover, dispersed nanoparticles were not beneficial to dynamic melting and extended the thermal charging time. Full article
(This article belongs to the Special Issue Numerical and Computing Methods in Sustainable Energy System for Built Environment)
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