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The Role of Renewable Energy and Battery Energy Storage System towards Sustainable Development Goals

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 18502

Special Issue Editor

Dr. Molla Shahadat Hossain Lipu

E-Mail Website1 Website2
Guest Editor
Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh
Interests: energy storage; renewable energy; smart grid; power electronics; electric vehicle
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The issue of global carbon emissions resulting from fossil fuels serves as motivation for researchers, companies, and institutions to develop clean sources of energy. Renewable energy sources (RESs) are the promising potential replacement for fossil fuel-based power generation toward meeting the global decarbonization goals by 2050. However, the intermittency of RES can limit their potential as viable options. Thus, energy storage systems (ESSs) can be a solution to this problem by storing excess power from RESs and providing power to the load when the output power of RESs is insufficient. Advanced control algorithms, power electronics, efficient management schemes can contribute to enhancing the performance of RES. It is also essential to examine RESs and ESSs monitoring, modeling and forecasting as well as planning and deployment issues and challenges. Moreover, the ESS methods and algorithms for sizing, placement, scheduling, energy management in terms of low carbon emission must be identified. In addition, the cost, safety, performance, protection, and battery recycling technologies play a key role in the sustainable future of ESSs. The application of the internet of things (IoT), artificial intelligence (AI) and optimization to improve the performance of RESs and ESSs can be investigated. It is also crucial to study RESs and ESSs integration, market, policy issues and life cycle assessment. In this context, the analyses on the understanding of sustainable development goals (SDGs) in relation to the use of RESs and ESSs are key research areas to be explored. This special issue covers present and future perspectives on RESs and ESSs with respect to SDGs. We are pleased to receive original research or overview from researchers, scientists, students from companies, universities, and research institutes all over the world toward building an academic network for establishing the relationship of RESs and ESSs with SDGs with regard to low carbon emissions, sustainable cities, green employment and cost-effective energy supply. Both original research articles and reviews are welcome. Topics of interest include (but are not limited to) the following:

  • RESs and ESSs monitoring, modeling and forecasting.
  • RESs and ESSs integration.
  • RESs and ESSs control.
  • RESs and ESSs planning and deployment issues and challenges.
  • Power electronics for RESs and ESSs.   
  • Intelligent systems for RESs and ESSs.
  • RESs and ESSs on grid decarbonization.  
  • Techno-economic analysis of RESs and ESSs.
  • Interlinkages between RESs, ESSs and SDG7 targets.
  • The impact of RESs and ESSs on sustainable cities and green employment.
  • RESs and ESSs market and policy issues. 
  • RESs and ESSs life cycle assessment.
  • ESSs sizing and placement.
  • ESSs scheduling and management.
  • ESSs safety and protection.
  • Battery recycling technologies.  
  • Application of Internet of Things (IoT), Artificial intelligence (AI) and optimization.

Dr. Molla Shahadat Hossain Lipu
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

  • renewables
  • battery
  • control
  • management
  • optimization
  • scheduling
  • policy
  • lifecycle
  • Sustainable Development Goals (SDGs)
  • decarbonization

Published Papers (2 papers)

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Research

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25 pages, 7349 KiB  
Article
Data-Driven Remaining Useful Life Prediction for Lithium-Ion Batteries Using Multi-Charging Profile Framework: A Recurrent Neural Network Approach
by Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, Aini Hussain and Mohamad Hanif Md Saad
Sustainability 2021, 13(23), 13333; https://doi.org/10.3390/su132313333 - 2 Dec 2021
Cited by 21 | Viewed by 3215
Abstract
Remaining Useful Life (RUL) prediction for lithium-ion batteries has received increasing attention as it evaluates the reliability of batteries to determine the advent of failure and mitigate battery risks. The accurate prediction of RUL can ensure safe operation and prevent risk failure and [...] Read more.
Remaining Useful Life (RUL) prediction for lithium-ion batteries has received increasing attention as it evaluates the reliability of batteries to determine the advent of failure and mitigate battery risks. The accurate prediction of RUL can ensure safe operation and prevent risk failure and unwanted catastrophic occurrence of the battery storage system. However, precise prediction for RUL is challenging due to the battery capacity degradation and performance variation under temperature and aging impacts. Therefore, this paper proposes the Multi-Channel Input (MCI) profile with the Recurrent Neural Network (RNN) algorithm to predict RUL for lithium-ion batteries under the various combinations of datasets. Two methodologies, namely the Single-Channel Input (SCI) profile and the MCI profile, are implemented, and their results are analyzed. The verification of the proposed model is carried out by combining various datasets provided by NASA. The experimental results suggest that the MCI profile-based method demonstrates better prediction results than the SCI profile-based method with a significant reduction in prediction error with regard to various evaluation metrics. Additionally, the comparative analysis has illustrated that the proposed RNN method significantly outperforms the Feed Forward Neural Network (FFNN), Back Propagation Neural Network (BPNN), Function Fitting Neural Network (FNN), and Cascade Forward Neural Network (CFNN) under different battery datasets. Full article
(This article belongs to the Special Issue The Role of Renewable Energy and Battery Energy Storage System towards Sustainable Development Goals)
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Review

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34 pages, 6019 KiB  
Review
A Review of Monitoring Technologies for Solar PV Systems Using Data Processing Modules and Transmission Protocols: Progress, Challenges and Prospects
by Shaheer Ansari, Afida Ayob, Molla S. Hossain Lipu, Mohamad Hanif Md Saad and Aini Hussain
Sustainability 2021, 13(15), 8120; https://doi.org/10.3390/su13158120 - 21 Jul 2021
Cited by 49 | Viewed by 13950
Abstract
Solar photovoltaic (PV) is one of the prominent sustainable energy sources which shares a greater percentage of the energy generated from renewable resources. As the need for solar energy has risen tremendously in the last few decades, monitoring technologies have received considerable attention [...] Read more.
Solar photovoltaic (PV) is one of the prominent sustainable energy sources which shares a greater percentage of the energy generated from renewable resources. As the need for solar energy has risen tremendously in the last few decades, monitoring technologies have received considerable attention in relation to performance enhancement. Recently, the solar PV monitoring system has been integrated with a wireless platform that comprises data acquisition from various sensors and nodes through wireless data transmission. However, several issues could affect the performance of solar PV monitoring, such as large data management, signal interference, long-range data transmission, and security. Therefore, this paper comprehensively reviews the progress of several solar PV-based monitoring technologies focusing on various data processing modules and data transmission protocols. Each module and transmission protocol-based monitoring technology is investigated with regard to type, design, implementations, specifications, and limitations. The critical discussion and analysis are carried out with respect to configurations, parameters monitored, software, platform, achievements, and suggestions. Moreover, various key issues and challenges are explored to identify the existing research gaps. Finally, this review delivers selective proposals for future research works. All the highlighted insights of this review will hopefully lead to increased efforts toward the enhancement of the monitoring technologies in future sustainable solar PV applications. Full article
(This article belongs to the Special Issue The Role of Renewable Energy and Battery Energy Storage System towards Sustainable Development Goals)
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