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Recent Advances in Renewable Energy and Clean Energy

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

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 20022

Special Issue Editor

Department of Renewable Energy, Environment and Sustainability Institute (ESI), University of Exeter, Penryn, Cornwall TR10 9FE, UK
Interests: energy positive building; smart switchable material (electrochromic, suspended particle device, liquid crystal); advanced glazing technologies (vacuum, aerogel); first, second and third-generation pv for bipv/bapv; low concentrating pv (lsc, cpc, holography); building physics including materials science, solar radiation, thermal radiation, climate exposure, smart nanomaterials; solar powered electric vehicle (ev); transparent building envelops (transparent wood); sensor technology
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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 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. 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 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

  • 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 (6 papers)

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Editorial

Jump to: Research, Review

2 pages, 156 KiB  
Editorial
Recent Advances in Renewable Energy and Clean Energy
by Aritra Ghosh
Energies 2022, 15(9), 3204; https://0-doi-org.brum.beds.ac.uk/10.3390/en15093204 - 27 Apr 2022
Cited by 2 | Viewed by 1518
Abstract
Energy generation from conventional energy sources, such as oil, coal, and gas, produces adverse environmental pollutants, e [...] Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)

Research

Jump to: Editorial, Review

14 pages, 3965 KiB  
Article
An Energy Management System for the Control of Battery Storage in a Grid-Connected Microgrid Using Mixed Integer Linear Programming
by Marvin Barivure Sigalo, Ajit C. Pillai, Saptarshi Das and Mohammad Abusara
Energies 2021, 14(19), 6212; https://0-doi-org.brum.beds.ac.uk/10.3390/en14196212 - 29 Sep 2021
Cited by 27 | Viewed by 3392
Abstract
This paper proposes an energy management system (EMS) for battery storage systems in grid-connected microgrids. The battery charging/discharging power is determined such that the overall energy consumption cost is minimized, considering the variation in grid tariff, renewable power generation and load demand. The [...] Read more.
This paper proposes an energy management system (EMS) for battery storage systems in grid-connected microgrids. The battery charging/discharging power is determined such that the overall energy consumption cost is minimized, considering the variation in grid tariff, renewable power generation and load demand. The system is modeled as an economic load dispatch optimization problem over a 24 h horizon and solved using mixed integer linear programming (MILP). This formulation, therefore, requires knowledge of the expected renewable energy power production and load demand over the next 24 h. To achieve this, a long short-term memory (LSTM) network is proposed. The receding horizon (RH) strategy is suggested to reduce the impact of prediction error and enable real-time implementation of the EMS that benefits from using actual generation and demand data on the day. At each hour, the LSTM predicts generation and load data for the next 24 h, the dispatch problem is then solved and the battery charging or discharging command for only the first hour is applied in real-time. Real data are then used to update the LSTM input, and the process is repeated. Simulation results show that the proposed real-time strategy outperforms the offline optimization strategy, reducing the operating cost by 3.3%. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy and Clean Energy)
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17 pages, 50818 KiB  
Article
Performance Analysis and Comparison of a Concentrated Photovoltaic System with Different Phase Change Materials
by Jawad Sarwar, Muhammad Rizwan Shad, Arshmah Hasnain, Farman Ali, Konstantinos E. Kakosimos and Aritra Ghosh
Energies 2021, 14(10), 2911; https://0-doi-org.brum.beds.ac.uk/10.3390/en14102911 - 18 May 2021
Cited by 12 | Viewed by 2046
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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23 pages, 6346 KiB  
Article
Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting
by N. Yogambal Jayalakshmi, R. Shankar, Umashankar Subramaniam, I. Baranilingesan, Alagar Karthick, Balasubramaniam Stalin, Robbi Rahim and Aritra Ghosh
Energies 2021, 14(9), 2404; https://0-doi-org.brum.beds.ac.uk/10.3390/en14092404 - 23 Apr 2021
Cited by 39 | Viewed by 2781
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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19 pages, 9293 KiB  
Article
Intensifying the Charging Response of a Phase-Change Material with Twisted Fin Arrays in a Shell-And-Tube Storage System
by Mohammad Ghalambaz, Hayder I. Mohammed, Jasim M. Mahdi, Amir Hossein Eisapour, Obai Younis, Aritra Ghosh, Pouyan Talebizadehsardari and Wahiba Yaïci
Energies 2021, 14(6), 1619; https://0-doi-org.brum.beds.ac.uk/10.3390/en14061619 - 15 Mar 2021
Cited by 40 | Viewed by 2656
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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26 pages, 1196 KiB  
Review
A Review on Numerical Approach to Achieve Building Energy Efficiency for Energy, Economy and Environment (3E) Benefit
by Binju P Raj, Chandan Swaroop Meena, Nehul Agarwal, Lohit Saini, Shabir Hussain Khahro, Umashankar Subramaniam and Aritra Ghosh
Energies 2021, 14(15), 4487; https://0-doi-org.brum.beds.ac.uk/10.3390/en14154487 - 24 Jul 2021
Cited by 23 | Viewed by 4170
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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