Special Issue "Recent Advances in Renewable Energy and Clean Energy"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Energy and Environment".

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editor

Dr. Aritra Ghosh
E-Mail Website
Guest Editor
Department of Renewable Energy, Environment and Sustainability Institute (ESI), University of Exeter, Penryn, Cornwall TR10 9FE, UK
Interests: solar powered electric vehicle (EV); first, second, and third-generation PV for BIPV/BAPV; energy-positive building and electric vehicles; low-concentrating PV (LSC, CPC, holography)
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Special Issue Information

Dear Colleagues,

Energy generation from conventional energy sources, such as oil, coal, and gas, produces adverse environmental pollutants, e.g., CO2 and other toxic gases and elements. Replacing conventional energy with renewable energy sources is one of the most promising ways to sustain the green environment. Renewable energy (RE) sources include biofuels, geothermal, hydro, solar, tidal, waste, and wind. Uninterruptible energy generation is the major barrier for RE systems. Solar and wind are the most unpredictable, and their variability is high compared with other RE sources. Storage of electricity plays a key role in overcoming the challenges associated with renewable energy systems. Advancement of technology and forecasting of the energy generation from RE systems are now the prime areas of investigation. According to the IEA, in 2018, RE contributed 26% of the global electricity generation, but a 13% drop in generation is expected in 2020 due to the current COVID-19 scenario. This Special Issue, therefore, seeks to contribute to the advancement of Renewable Energy systems and future prospects after COVID-19. We invite the submission of original research articles, reviews, case studies, analyses, and assessments relevant to Renewable Energy and Clean Energy systems. 

Dr. Aritra Ghosh
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 papers will be 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. Energies 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 2000 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

  • technological development of renewable energy systems (RESs)
  • socio economic analysis of RESs
  • challenges for RESs
  • business models for RESs
  • storage systems for RESs

Published Papers (4 papers)

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Research

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Article
Performance Analysis and Comparison of a Concentrated Photovoltaic System with Different Phase Change Materials
Energies 2021, 14(10), 2911; https://doi.org/10.3390/en14102911 - 18 May 2021
Cited by 1 | Viewed by 518
Abstract
In this work, temperature regulation and electrical output of a concentrated photovoltaic system coupled with a phase change material (CPVPCM) system is investigated and compared with a single sun crystalline photovoltaic (PV) system. A fully coupled thermal-optical-electrical model has been developed in-house to [...] Read more.
In this work, temperature regulation and electrical output of a concentrated photovoltaic system coupled with a phase change material (CPVPCM) system is investigated and compared with a single sun crystalline photovoltaic (PV) system. A fully coupled thermal-optical-electrical model has been developed in-house to conduct the simulation studies for actual weather conditions of Doha (Qatar) and selected phase change materials (PCMs). The selected PCMs are lauric acid, RT47, S-series salt, STL47, ClimSelTM C48, RT54, RT60, RT62, and RT64. An optical concentration ratio of 20× is considered on a 15 mm wide crystalline silicon cell. The temperature evolution, thermal energy storage and electrical output of the CPVPCM system are obtained for 48-hour simulations with representative weather conditions for each month of a typical meteorological year (TMY). Results and overall thermal and electrical efficiency are compared for each PCM. In brief, the CPVPCM system with S-series salt performs better than all other PCM with an overall efficiency of 54.4%. Furthermore, this system consistently produces more power than a PV system with an equal footprint (1 m2) for each month of the TMY. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)
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Article
Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting
Energies 2021, 14(9), 2404; https://doi.org/10.3390/en14092404 - 23 Apr 2021
Cited by 1 | Viewed by 523
Abstract
Solar irradiance forecasting is an inevitable and most significant process in grid-connected photovoltaic systems. Solar power is highly non-linear, and thus to manage the grid operation efficiently, with irradiance forecasting for various timescales, such as an hour ahead, a day ahead, and a [...] Read more.
Solar irradiance forecasting is an inevitable and most significant process in grid-connected photovoltaic systems. Solar power is highly non-linear, and thus to manage the grid operation efficiently, with irradiance forecasting for various timescales, such as an hour ahead, a day ahead, and a week ahead, strategies are developed and analysed in this article. However, the single time scale model can perform better for that specific time scale but cannot be employed for other time scale forecasting. Moreover, the data consideration for single time scale forecasting is limited. In this work, a multi-time scale model for solar irradiance forecasting is proposed based on the multi-task learning algorithm. An effective resource sharing scheme between each task is presented. The proposed multi-task learning algorithm is implemented with a long short-term memory (LSTM) neural network model and the performance is investigated for various time scale forecasting. The hyperparameter estimation of the proposed LSTM model is made by a hybrid chicken swarm optimizer based on combining the best features of both the chicken swarm optimization algorithm (CSO) and grey wolf optimization (GWO) algorithm. The proposed model is validated, comparing existing methodologies for single timescale forecasting, and the proposed strategy demonstrated highly consistent performance for all time scale forecasting with improved metric results. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)
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Article
Intensifying the Charging Response of a Phase-Change Material with Twisted Fin Arrays in a Shell-And-Tube Storage System
Energies 2021, 14(6), 1619; https://doi.org/10.3390/en14061619 - 15 Mar 2021
Cited by 1 | Viewed by 674
Abstract
A twisted-fin array as an innovative structure for intensifying the charging response of a phase-change material (PCM) within a shell-and-tube storage system is introduced in this work. A three-dimensional model describing the thermal management with charging phase change process in PCM was developed [...] Read more.
A twisted-fin array as an innovative structure for intensifying the charging response of a phase-change material (PCM) within a shell-and-tube storage system is introduced in this work. A three-dimensional model describing the thermal management with charging phase change process in PCM was developed and numerically analyzed by the enthalpy-porosity method using commercial CFD software. Efficacy of the proposed structure of fins for performing better heat communication between the active heating surface and the adjacent layers of PCM was verified via comparing with conventional longitudinal fins within the same design limitations of fin material and volume usage. Optimization of the fin geometric parameters including the pitch, number, thickness, and the height of the twisted fins for superior performance of the proposed fin structure, was also introduced via the Taguchi method. The results show that a faster charging rate, higher storage rate, and better uniformity in temperature distribution could be achieved in the PCMs with Twisted fins. Based on the design of twisted fins, it was found that the energy charging time could be reduced by up to 42%, and the energy storage rate could be enhanced up to 63% compared to the reference case of straight longitudinal fins within the same PCM mass limitations. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)
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Review

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Review
A Review on Numerical Approach to Achieve Building Energy Efficiency for Energy, Economy and Environment (3E) Benefit
Energies 2021, 14(15), 4487; https://doi.org/10.3390/en14154487 - 24 Jul 2021
Viewed by 506
Abstract
Increasing energy demand in buildings with a 40% global share and 30% greenhouse gas emissions has accounted for climate change and a consequent crisis encouraging improvement of building energy efficiency to achieve the combined benefit of energy, economy, and environment. For an efficient [...] Read more.
Increasing energy demand in buildings with a 40% global share and 30% greenhouse gas emissions has accounted for climate change and a consequent crisis encouraging improvement of building energy efficiency to achieve the combined benefit of energy, economy, and environment. For an efficient system, the optimization of different design control strategies such as building space load, occupancy, lighting, and HVAC becomes inevitable. Therefore, interdisciplinary teamwork of developers, designers, architects, and consumers to deliver a high-performance building becomes essential. This review aims to endorse the importance of Building Performance Simulation in the pre-design phase along with the challenges faced during its adaptation to implementation. A morphology chart is structured to showcase the improvement in Building Energy Efficiency by implementing Building Performance Simulation for different building energy systems and by implementing various energy efficiency strategies to achieve the 3E benefit. As a developing nation, India still lacks mass application of Building Performance Simulation tools for improving Building Energy Efficiency due to improper channelizing or implementation; thus, this framework will enable the designers, architects, researchers to contemplate variable building energy optimization scenarios. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)
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