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Energies
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Energy Intensity, Economic Growth and Environmental Quality
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Energy Intensity, Economic Growth and Environmental Quality

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

Deadline for manuscript submissions: closed (16 November 2023) | Viewed by 4743

Special Issue Editors

Dr. Gazi Hassan

E-Mail Website
Guest Editor
Department of Economics, Waikato Management School, University of Waikato, Hamilton 3240, New Zealand
Interests: remittances; migration; energy; economic growth and inequality
Dr. Shafiqur Rahman Tito

E-Mail Website
Guest Editor
Department of Software Engineering, University of Waikato, Hamilton 3240, New Zealand
Interests: renewable energy; optimization; smart grid; energy management; demand-side management; machine learning

Special Issue Information

Dear Colleagues,

Energy plays a key role in any country's economic growth and development. Fossil fuels such as oil, natural gas, coal, petroleum, etc., are currently fulfilling a significant fraction of energy demand. Approximately two-thirds, or around 65% of total electricity, is generated from fossil fuels. Meeting the target of the United Nation's Sustainable Development Goal 7, which is focused on affordable, reliable, sustainable and modern energy, means developing economies must ensure access to electricity for the sustainable, socio-economic development of their people. The International Energy Agency (IEA) projected an increase of 25% in global energy demand and of 58% in electrical energy alone in 2040 as compared to 2018.

The projected increase in electricity demand is due to growth in urbanization and industrialization. As the demand for electricity rises, the demand for fossil fuel sources also affects the environment with the emission of greenhouse gases (GHGs) such as CO2, CH4, N2O, etc. GHG emissions are a serious concern for the environment and contribute to climate change. Thus, the global leaders, through the Paris Declaration, agreed to set a specific target of reducing GHG so that the global average temperature remains below 1.5–2 °C, which will be above the pre-industrial level in the 22nd century.

Finding alternative and sustainable sources of energy is vital for the existence of human civilization. Renewable energy sources such as wind turbines (WTs), solar photovoltaics (SPVs), solar thermal (ST) technologies, biomass, biogas, micro-hydro turbines, and tidal waves show great promise in supplying a sustainable and continuous supply of energy. This also ensures the achievement of "net zero emission", i.e., the emission of GHGs is counter balanced by the absorption of the same amount by 2050. However, the generation from many of these renewable sources is unpredictable and intermittent, and does not match with the temporal operation of appliances. Though they are free and abundantly available, the required infrastructure and power quality improvement cost is still very high.

The transition to renewable sources of energy free of fossil fuels guarantees sufficient energy for keeping the pace of economic growth alongside sustainable development and reducing GHG emissions. The sourcing of 100% renewable energy requires transforming the existing system into a smart one. A smart system enhances the efficiency of energy utilization and, thus, increases the penetration of renewable energy into a microgrid by optimizing the design, planning and scheduling of utilization and storage. Maintaining the pace of economic growth without increasing GHG emissions into the environment can only be ensured by exploiting the available renewable energy. Extensive research is needed to find new renewable technology, develop smart energy management, and enable the scheduling and forecasting of energy generation that provide cost-effective system designs and implementation and contribute to sustainable economic growth.

Dr. Gazi Hassan
Dr. Shafiqur Rahman Tito
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. 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

  • distributed and renewable generation
  • optimal placement and sizing of hybrid renewable generation
  • microgrid
  • smart grid
  • energy efficiency
  • energy demand
  • energy policy
  • clean energy and environment
  • sustainable energy and economic growth

Published Papers (3 papers)

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Research

18 pages, 713 KiB  
Article
Exploring the Influence of Digital Transformation on Clean Energy Transition, Climate Change, and Economic Growth among Selected Oil-Export Countries through the Panel ARDL Approach
by Masahina Sarabdeen, Manal Elhaj and Hind Alofaysan
Energies 2024, 17(2), 298; https://doi.org/10.3390/en17020298 - 7 Jan 2024
Viewed by 1322
Abstract
Amid global imperatives to combat climate change and achieve sustainable economic development, the convergence of digital transformation and the transition to clean energy has emerged as a critical focal point for oil-exporting nations. This study comprehensively investigates the interplay of digital technology, clean [...] Read more.
Amid global imperatives to combat climate change and achieve sustainable economic development, the convergence of digital transformation and the transition to clean energy has emerged as a critical focal point for oil-exporting nations. This study comprehensively investigates the interplay of digital technology, clean energy transition, climate change, and economic growth among selected oil-exporting nations. Drawing upon a diverse set of economic and geographical contexts, this study uses panel data analysis of data from the World Bank’s Economic Indicators and the United Nations Development Program for the period from 2006 to 2020. The results show that digital technology reduces climate change by improving environmental quality, but internet and mobile access have insignificant and negative effects on environmental quality, respectively. Meanwhile, all technology variables negatively impact green energy and economic growth, while the Happy Planet Index and financial development positively impact the green energy transition. This study is important for regulators, producers, and consumers, as it provides a better understanding of the crucial role of digital transformation in sustainable development within oil-export countries. This study’s findings can be used to develop policy recommendations for a low-carbon economy, the promotion of digital transformation through green energy, and the management of climate change. Full article
(This article belongs to the Special Issue Energy Intensity, Economic Growth and Environmental Quality)
15 pages, 294 KiB  
Article
Do the Reduction of Traditional Energy Consumption and the Acceleration of the Energy Transition Bring Economic Benefits to South America?
by José Castro Oliveira, Manuel Carlos Nogueira and Mara Madaleno
Energies 2023, 16(14), 5527; https://doi.org/10.3390/en16145527 - 21 Jul 2023
Cited by 1 | Viewed by 893
Abstract
By considering a panel dataset between 1995 and 2019 including several countries in South America and methodologically using the fixed effect and GMM methods in first differences, the authors sought to empirically determine the relationship between traditional energy consumption, renewable energy consumption, and [...] Read more.
By considering a panel dataset between 1995 and 2019 including several countries in South America and methodologically using the fixed effect and GMM methods in first differences, the authors sought to empirically determine the relationship between traditional energy consumption, renewable energy consumption, and economic growth. The results show that the two main variables studied (fossil energy consumption and renewable energy consumption) are statistically significant and contribute to economic growth per capita in all nine South American countries studied. Furthermore, it should be noted that this significance persists in the four models discussed in this study, demonstrating a link between the positive economic impact of reducing traditional energy consumption and increasing renewable energy consumption in the South American countries studied. This article also contributes to the existing literature by highlighting the fundamental role of gross capital formation, labor force participation, and tertiary school enrollment in the economic growth of these countries. Two rather small effects on the aforementioned growth are the corruption perception index and domestic lending to the private sector by banks. This paper calls on policymakers to reconsider increasing energy production using renewable sources and to promote measures for its consumption. Full article
(This article belongs to the Special Issue Energy Intensity, Economic Growth and Environmental Quality)
27 pages, 4359 KiB  
Article
A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants
by Shangli Zhou, Hengjing He, Leping Zhang, Wei Zhao and Fei Wang
Energies 2023, 16(4), 1646; https://doi.org/10.3390/en16041646 - 7 Feb 2023
Cited by 5 | Viewed by 1893
Abstract
Reducing CO2 emissions from coal-fired power plants is an urgent global issue. Effective and precise monitoring of CO2 emissions is a prerequisite for optimizing electricity production processes and achieving such reductions. To obtain the high temporal resolution emissions status of power [...] Read more.
Reducing CO2 emissions from coal-fired power plants is an urgent global issue. Effective and precise monitoring of CO2 emissions is a prerequisite for optimizing electricity production processes and achieving such reductions. To obtain the high temporal resolution emissions status of power plants, a lot of research has been done. Currently, typical solutions are utilizing Continuous Emission Monitoring System (CEMS) to measure CO2 emissions. However, these methods are too expensive and complicated because they require the installation of a large number of devices and require periodic maintenance to obtain accurate measurements. According to this limitation, this paper attempts to provide a novel data-driven method using net power generation to achieve near-real-time monitoring. First, we study the key elements of CO2 emissions from coal-fired power plants (CFPPs) in depth and design a regression and physical variable model-based emission simulator. We then present Emission Estimation Network (EEN), a heterogeneous network-based deep learning model, to estimate CO2 emissions from CFPPs in near-real-time. We use artificial data generated by the simulator to train it and apply a few real-world datasets to complete the adaptation. The experimental results show that our proposal is a competitive approach that not only has accurate measurements but is also easy to implement. Full article
(This article belongs to the Special Issue Energy Intensity, Economic Growth and Environmental Quality)
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