New and Renewable Energies in Future Energy Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6230

Special Issue Editor


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Guest Editor
Department of Chemical Engineering, Process Systems Engineering, Imperial College London, London SW7 2AZ, UK
Interests: renewable energies; carbon dioxide; carbon dioxide removal; modelling of chemical processes; carbon supply chains; environmental analysis of chemical processes; methanol
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Special Issue Information

Dear Colleagues,

New and renewable energies are needed in order to meet the demands of increasing energy requirements in the foreseeable future. Predictions indicate that energy demand in 2040 will be 37% higher than that in 2013.

Utilizing clean and alternative energy sources is a potential solution for current environmental problems, decarbonizing the world economy and mitigating global climate change caused by traditional fossil energies, and is expected to play an active role in the energy diversification scenarios of the future, contributing to sustainable development.

Moreover, the importance of renewable and new energy systems is underlined considering that conventional energies will no longer be sufficient to satisfy the demand of the global economy in the coming years.

For these reasons, the attention of governments and researchers should be directed toward this topic, with the aim of providing solutions for future energy systems based on new and clean energies, contributing to their widespread commercialization.

This Special Issue of Applied Sciences, entitled “New and Renewable Energies in Future Energy Systems”, will address the important topic of alternative energy systems. The issue will include original reviews, experimental and modelling research and case studies related to the future progress of new and renewable energy systems. All contributions related to new developments and challenges in this research area will be included.

Dr. Grazia Leonzio
Guest Editor

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Published Papers (2 papers)

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Research

14 pages, 4560 KiB  
Article
Ambient Light Energy Harvesting and Numerical Modeling of Non-Linear Phenomena
by Hamid Jabbar and Taikyeong Jeong
Appl. Sci. 2022, 12(4), 2068; https://doi.org/10.3390/app12042068 - 16 Feb 2022
Cited by 5 | Viewed by 2936
Abstract
Ambient light is an energy-harvesting source that can recharge a battery with less human interaction and can be used to prolong the operational time of the Internet of Things, e.g., mobile phones and wearable devices. Available light energy is insufficient for directly charging [...] Read more.
Ambient light is an energy-harvesting source that can recharge a battery with less human interaction and can be used to prolong the operational time of the Internet of Things, e.g., mobile phones and wearable devices. Available light energy is insufficient for directly charging mobile phones and wearable devices, but it can supplement batteries to power some low-energy-consuming critical functions of the wearable device, especially in low-power consumption wearables. However, in an emergency scenario when the battery’s operational time is not sufficient or a battery charging source is unavailable, a solution is required to extend the limited battery span for mobile and wearable devices. This work presents the bottlenecks and new advancements in the commercialization of photovoltaics for smartphones and wearable technologies based on ambient light energy harvesting. A new technique, in which a smartphone cover is used as a solar concentrator to enhance light energy harvesting associated with algorithms, is experimentally demonstrated. Our research outcomes show that solar concentrators can improve light intensity by approximately 1.85 and 1.43 times at 90° and 71° angles, respectively, thus harvesting more ambient light energy at 2500 lx light intensity in a typical office environment. Type-1 PV and Type-2 PV cells were able to charge the additional battery in 8 h under 2500 lx lighting intensity in an indoor office environment. A system and logic algorithm technique is presented to efficiently transfer harvested light energy to perform low-energy consumption operations in a device, in order to improve the operational time of the device’s battery. Full article
(This article belongs to the Special Issue New and Renewable Energies in Future Energy Systems)
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30 pages, 9534 KiB  
Article
Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X
by Mahmoud Mostafa, Christopher Varela, Meik B. Franke and Edwin Zondervan
Appl. Sci. 2021, 11(20), 9574; https://0-doi-org.brum.beds.ac.uk/10.3390/app11209574 - 14 Oct 2021
Cited by 5 | Viewed by 2521
Abstract
The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the [...] Read more.
The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen production, providing the stoichiometric required CO2 stream for the subsequent methanol reactor. A dynamic model is used to configure controllers and to test the unit performance and stream conditions for various set points. Through the transient operation, the required feed gas is provided while optimizing the solvent and energy requirements. It is found that the slowest acting stage is the reboiler with a time constant of 3.8 h. Other process variables stabilize much quicker, requiring only a few minutes to reach steady-state conditions. The hydrogen-tracking scenario shows that the carbon capture plant can successfully operate under varying conditions with a maximum CO2 output increase of 7% of the minimum flowrate in the representative 24 h simulation time. The output CO2 stream is maintained at the desired >98% purity, 25 °C temperature, and 1.85 bar pressure, which allows to successfully perform hydrogen tracking operations. Full article
(This article belongs to the Special Issue New and Renewable Energies in Future Energy Systems)
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