Innovative Energy Research Articles

The Effect of Innovation and Renewable Energy on CO2 Emissions For Emerging Asian Countries

This study investigates the impact of innovation and renewable energy consumption on CO2 emissions in seven emerging Asian countries using static panel data methods. The analysis employs Pooled Ordinary Least Squares (OLS), Fixed Effect (FE), and Random Effect (RE) models to estimate the relationships, with the most appropriate model selected based on the Breusch-Pagan LM test and the Hausman test. Our findings reveal that both GDP and urbanization significantly increase CO2 emissions, while GDP squared and renewable energy consumption significantly decrease emissions, supporting the Environmental Kuznets Curve (EKC) hypothesis. Diagnostic tests indicate the presence of heteroskedasticity and first-order autocorrelation, addressed using robust standard errors. The results underscore the dual role of economic growth and technological advancement in shaping environmental outcomes, highlighting the critical importance of sustainable development policies in emerging economies.

Digital financial inclusion role to promote renewable energy technology innovation in Chinese prefectural cities: Moderating role of environmental governance

Renewable energy technology innovation is not only an important technical component of Chinese construction of low-carbon energy systems but also a key way to realize long-term, sustainable development. Digital inclusive finance plays an indispensable role in this process. Using panel data of 275 Chinese cities from 2011 to 2022, a two-step systematic methodology is used to assess the impacts and mechanisms of digital financial inclusion and the moderating role of different environmental governance models on qualitative and quantitative renewable energy innovation. The results indicate that digital inclusive finance has an incentive effect on both qualitative and quantitative renewable energy innovations, with a stronger incentive effect on qualitative behavior. This effect can act on renewable energy technology innovation by reducing financing constraints and incentivizing information disclosure mechanisms. Moreover, different forms of environmental governance have a positive, moderating effect, while the effect of top-down environmental governance is more manifested in quantitative renewable energy innovation. Furthermore, heterogeneity analyses show that the incentive effect of digital financial inclusion is more pronounced in the PV sector and the eastern regions. The findings provide a theoretical basis and practical insights that enable policy-makers to formulate relevant renewable energy technology innovation policies and promote low-carbon energy transition.

Exploring the influence of green growth and energy sources on “carbon-dioxide emissions”: implications for climate change mitigation

Climate change is a global concern driven by greenhouse gas emissions. Bangladesh, being densely populated and a significant carbon emitter, must urgently reduce its “carbon-dioxide emissions”. The primary objectives of this research are to meticulously examine the impact of green growth, non-renewable energy, renewable energy, and technological innovations on carbon dioxide emissions in Bangladesh from 1990 to 2020, with the goal of informing policies for effective and sustainable climate change mitigation in Bangladesh. The analysis using advanced econometric methods, including autoregressive distributed lag, fully modified ordinary least squares, and canonical cointegration regression, reveals that green growth and technological innovations have adverse long-term but positive short-term effects on carbon emissions in Bangladesh. Additionally, it is noteworthy that both non-renewable and renewable energy sources significantly contribute to long-term and short-term carbon emissions. The study confirms the Environmental Kuznets Curve, showing a “∩” shaped relationship between green development and carbon emissions. Policymakers should prioritize green growth, incentivize technological innovation, promote sustainable economic practices, and implement comprehensive energy transition strategies. The insights from this study inform policy formulation to address the complex relationships between green growth, energy sources, and carbon-dioxide emissions for sustainable climate change mitigation in Bangladesh. Bangladesh’s efforts contribute to global emission reduction and foster a resilient future.

Innovative hybrid energy storage systems with sustainable integration of green hydrogen and energy management solutions for standalone PV microgrids based on reduced fractional gradient descent algorithm

This paper investigates innovative solutions to enhance the performance and lifespan of standalone photovoltaic (PV)-based microgrids, with a particular emphasis on off-grid communities. A major challenge in these systems is the limited lifespan of batteries. To overcome this issue, researchers have created hybrid energy storage systems (HESS) along with advanced power management strategies. This study introduces innovative multi-level HESS approaches and a related energy management strategy designed to alleviate the charge/discharge stress on batteries. Comprehensive Matlab Simulink models of various HESS topologies within standalone PV microgrids are utilized to evaluate system performance under diverse weather conditions and load profiles for rural site. The findings reveal that the proposed HESS significantly extends battery life expectancy compared to existing solutions. Furthermore, the paper presents a novel energy management strategy based on the Reduced Fractional Gradient Descent (RFGD) algorithm optimization, tailored for hybrid systems that include photovoltaic, fuel cell, battery, and supercapacitor components. This strategy aims to minimize hydrogen consumption of Fuel Cells (FCs), thereby supporting the production of green ammonia for local industrial use. The RFGD algorithm is selected for its minimal user-defined parameters and high convergence efficiency. The proposed method is compared with other algorithms, such as the Lyrebird Optimization Algorithm (LOA) and Osprey Optimization Algorithm (OOA). The RFGD algorithm exhibits superior accuracy in optimizing energy management, achieving a 15 % reduction in hydrogen consumption. Its efficiency is evident from the reduced computational time compared to conventional algorithms. Although minor losses in computational resources were observed, they were substantially lower than those associated with traditional optimization techniques. Overall, the RFGD algorithm offers a robust and efficient solution for enhancing the performance of hybrid energy systems.

Nexus between innovation and sustainable economic development: A bibliometrics analysis

This article using thematic and content analysis investigated the contribution of innovation in achieving sustainable economic development. The objective of the bibliometric research was to assess the literature on this subject it identified research trends, ideas, and authors who contributed to this area so that future research and policy directions could be suggested. The data was derived from the Scopus database and was extracted between January 2020 and February 2024 by applying inclusion and exclusion criteria. The Scopus database search yielded 66 articles, published between 2020 and February 2024. Scopus analytics and Microsoft Excel were used for descriptive analysis and VOS Viewer software was used for network visualization of keywords. The descriptive analysis showed the trajectory of research, the prolific authors, their publication outlets, authors affiliation, and county of origin of the documents. The prolific visualization showed five clusters: red, green, blue, purple, and yellow. The main clusters are economic development, alternative energy, sustainable development, and innovation. This research showed where consideration should be given to drive sustainability and sustainable economic development. This research outcome will assist government agencies, corporations, and non-profit organizations in planning appropriate action and policies to support innovative and renewable energy initiatives so that participation in those fields could enhance the opportunity to achieve sustainable economic development.

Energy Security, Intelligence and Innovation Quality: Evidence From China's New Energy Demonstration City Policy

ABSTRACTThe development of new energy and the application of intelligent technologies are crucial for ensuring energy security and promoting high‐quality economic growth. This article utilises a sample of A‐share listed enterprises in China from 2008 to 2020, employing a difference‐in‐differences (DID) approach to explore the impact of new energy demonstration cities (NEDC) on innovation quality and focuses on the role of intelligent development. It is found that the construction of NEDC contributes to the improvement of enterprise innovation quality. Corporate intelligence transformation further enhances the effect of the NEDC policy, demonstrating a synergistic relationship with new energy transition. Additionally, compared with collaborative innovation, the improvement effect of NEDC policy on enterprise self‐innovation quality is more significant. Non‐state‐owned enterprises, those in the growth stage, with a solid technological foundation and located in non‐resource‐based cities are more likely to achieve improvements in innovation quality during the energy transition. Our work provides empirical evidence and valuable insights for ensuring energy security and facilitating intelligent innovation development.

Does Artificial Intelligence Bring to Renewable Energy Innovation？Yes, Empirical Investigation for 51 Countries?

ABSTRACT The development of high-tech industries, represented by artificial intelligence (AI), plays an important role in driving renewable energy innovation (REI). This paper analyzes the effects and mechanisms of AI on REI, using data from 51 countries from 1993 to 2019. The results show that AI can promote REI by increasing research and development (R&D) investment, improving labor productivity and institutional quality. The impact varies depending on the level and type of REI, the type of AI, the level of national income, and the extent of digital infrastructure. In addition, by constructing a spatial Durbin model, this paper also shows that AI inhibits the innovation level of neighboring countries while promoting REI at home. In view of this, countries should make full use of the advantages of AI, increase investment in R&D of AI in the field of RE, improve the efficiency of RE production and use, and establish an international cooperation framework of AI for energy innovation among countries in an effort to promote REI.

Dynamic interactions between GDP, renewable energy, innovation, and CO2 emissions in Finland: a fourier-augmented ARDL analysis

This study uses the novel Fourier-augmented ARDL (FARDL) to explore the impact of renewable energy (REN), the number of patent applications (PA) and GDP per capita on CO2 emissions in Finland during 1990–2022. The findings reveal that in the long run, GDP rises CO2 emissions, while REN and PA decrease CO2 emissions. The FARDL short-run results indicate that both REN and PA have a significant negative impact on CO2 emissions, suggesting that higher adoption of renewable energy and technological innovation contribute to emission reductions. However, GDP does not show a significant effect in the short run, which may indicate a decoupling of economic growth from environmental degradation in the short term. Furthermore, the study highlights the need for policies that promote technological innovation and increased investment in renewable energy to achieve sustainable carbon reduction in the long term.

Development of a low frequency acoustic energy harvesting system by using piezoelectric transducers mounted on a metallic plate placed inside the centre of a hollow cylinder

Abstract In this work, we are demonstrating an innovative acoustic energy harvesting system that utilizes a hollow polyvinyl dichloride cylinder with a metallic circular plate placed at the centre inside with five piezoelectric transducers mounted on it. A speaker, used as a source of acoustic waves, is fixed at the top of the cylinder by using a clamp. The cylinder, upon exposure to incident acoustic waves, induces resonance within it, generating an amplified stationary wave. The generated vibration drives the metallic plate mounted with piezoelectric transducers, which serves as a diaphragm. As a result, a pressure difference is developed across it and due to piezoelectric effect on the transducers, electricity is produced. Experimental results show that the system output voltage and power depends on various factors, including the elastic properties of the metallic plate, resonance frequency, and the distance of separation between the acoustic source and the plate. At an incident sound pressure level of 75 dB, the experimental results show that, at an acoustic resonance frequency of 310 Hz, the system yielded a maximum peak to peak voltage of 1000 mV and output power of 0.612 µW. Incorporation of a voltage doubler circuit with the harvester increases its power to 57.6 µW. The simplicity in design and cost-effectiveness of the proposed acoustic energy harvesting system renders it to be a promising avenue for energy harvesting implementations.

Innovation in renewable energy in Morocco: economic opportunities and policy measures

Our study examines the analysis of the determinants of eco-innovation in renewable energy in Morocco. To this end, we have tried to conceptually and theoretically understand eco-innovation, its emergence and its affirmation in the field of renewable energies. Using hypothetical-deductive reasoning, we made a quantitative assessment of the main economic and policy measures related to renewable energy and eco-innovation. The results show that "the propensity to collaborate with third countries in environmental technologies", as well as "energy depletion", stimulate innovation in renewable energy, while "revenues generated from environmental taxes" appear to have a deterrent effect on patenting. In sum, the key insights from the theoretical and empirical exploration resulting from our work highlight the factors driving innovation in renewable energy and prompting Moroccan policymakers to put in place the necessary measures to further support the energy transition.

Integrating Quantum Biological Processes and Biochar for Sustainable Innovations in Energy, Chemistry, and Sensing

Integrating Quantum Biological Processes and Biochar for Sustainable Innovations in Energy, Chemistry, and Sensing

Copper selenide as a facile nanomaterial for triboelectric nanogenerator: Self-powered Braille code keyboard

The development of triboelectric nanogenerators (TENGs) for sustainable energy harvesting has garnered significant interest, especially in integrating advanced materials to enhance device performance and exploring applications. Herein, the present study investigates the use of copper selenide (Cu2Se) as a robust material for TENGs fabrication. Cu2Se nanorods are synthesized using a facile hydrothermal method and subsequently embedded in a polyvinyl alcohol (PVA) matrix to form a nanocomposite, which is then utilized as tribopositive film. The procured Cu2Se and nanocomposites with varying filler quantities (0.1, 0.2, 0.4, and 0.8 wt%) are analyzed using powder X-ray diffraction, scanning electron microscopy, dielectric measurements, Fourier transform infrared spectroscopy, and ultraviolet–visible spectroscopy to evaluate their structural, morphological, dielectric, and optical properties, and their impact on TENG performance. Interestingly, the device with 0.2 wt% Cu2Se generated peak-to-peak voltage and current of 394.35 V and 83.45 µA respectively, which is about 2.5- and 41-times higher output compared to pristine PVA-TENG. Integrating Cu2Se as filler enhances charge generation, transfer, and retention, due to increased surface roughness, and ability to facilitate better charge separation within the polymer matrix leading to more efficient energy conversion in TENGs. In practical demonstration, the optimized PVA@ Cu2Se-TENG is employed as a self-powered Braille keyboard to generate electrical signals from mechanical interactions, offering a promising solution for energy-efficient, user-friendly Braille technology. Thus, the current study highlights the synergistic effects of integrating Cu2Se with polymer, resulting in enhanced triboelectric performance for innovative energy harvesting applications and self-powered sensory devices.

Variable-energy cocktail beam technology for investigating synergistic damage in nuclear materials on LEAF platform

This study addresses the critical issue of synergistic radiation damage in structural materials of fusion reactors, focusing on the interaction between the displacement defects and transmutation-produced hydrogen and helium. These effects are simulated and investigated by employing the advanced multi-beam ion implantation capabilities of the LEAF (Low Energy high intensity highly charged ion Accelerator Facility) platform. Firstly, high-intensity cocktail beams, such as “4He+ and 56Fe14+" and “4He+ and 58Ni15+", are generated and characterized successfully. Then, a complex radiation environment is mimicked within the fusion reactors by applying variable-energy irradiation. Secondly, similar penetration depths for different ions, which are crucial for studying synergistic effects, are obtained by precisely controlling the energy of the cocktail beams through the innovative energy modulation system of the LEAF platform. Finally, the post-irradiation analyses, performed by using the transmission electron microscopy (TEM) and nanoindentation, revealed distinct microstructural changes and alterations in material properties, providing insights into the degradation mechanisms under irradiation. This work not only generates diverse and high-intensity “cocktail” ion beams but also achieves rapid energy switching of the beams. Further, the work is expected to pave the way for the implementation of a novel multi-beam irradiation technique in advanced heavy-ion linear accelerators, and also to provide innovative experimental methods and technical support for studying the synergistic effects of nuclear materials.

Exploring the nexus of green entrepreneurship and environment quality in selected Asian economies

PurposeThis study examines the relationship between green entrepreneurship and environmental quality in selected Asian economies. The impact of green entrepreneurship dimensions, i.e. renewable energy utilization, innovation orientation, green funding and resource efficiency is empirically assessed on environmental quality. The research assists in opening the “black box” mechanism of how green entrepreneurship affects the environmental pillar of sustainability.Design/methodology/approachAn analysis of 11 Asian countries is conducted over the period from 2000 to 2019, using panel regression techniques to examine the link between green entrepreneurship dimensions and environmental quality indicators.FindingsThe findings reveal that all four dimensions of green entrepreneurship have an inverse relationship with carbon emissions and ecological footprint while showing a positive relationship with the load capacity factor. This implies that green entrepreneurship contributes positively to environmental sustainability by enhancing the ecosystem’s resilience and capacity to support life.Practical implicationsWe advocate for policymakers to prioritize green entrepreneurship to stimulate innovation for energy transition and environmental sustainability. Furthermore, creating a conducive atmosphere for green entrepreneurs can spur job creation, economic growth and societal well-being, thus fostering a more resilient and sustainable future for all.Originality/valueIn this study, we adopted a multidimensional approach for measuring green entrepreneurship, which represents an advancement over existing literature that predominantly relied on renewable energy consumption to gauge the green entrepreneurship phenomenon at the macro level.

Sub-THz and THz Cherenkov radiation source with two-dimensional periodic surface lattice and multistage depressed collector

We present the theory, concept and design of an efficient, megawatt coherent Cherenkov radiation source based on a two-dimensional periodic surface lattice (2D-PSL) cavity combined with a novel energy recovery system for the generation of highly efficient (> 50%) single-frequency radiation. We demonstrate the scalability of the transverse dimension of the 2D-PSL cavity of the Cherenkov source and thus the potential for efficient, continuous-wave, high-power (> 1 MW) operation; fundamental to the eventual realization of clean, fusion energy. These new sources, with the capacity to operate in the 0.1-10THz range, hold strong promise to address the long-standing “Terahertz gap”. By combining a Cherenkov oscillator driven by a non-gyrating beam with an innovative four-stage depressed collector energy recovery system, the overall device efficiency can be increased to be competitive with gyrotrons in the requirements for heating and current drive in fusion plasma. In these Cherenkov devices, the frequency independence of the magnetic guide field enables advantageous frequency scaling without deployment constraints, making them especially attractive for high-impact applications in fusion science, turbulence diagnostics, non-destructive testing and biochemical spectroscopy. The novel energy recovery techniques presented in this paper have broad applicability to many electron-beam driven devices, bringing revolutionary potential to future THz source technologies.

Interactive Cycles between Energy Education and Energy Preferences: A Literature Review on Empirical Evidence

The ultimate goal of energy education is to cultivate citizens with energy literacy, which in turn influences the energy preferences of the general public. Various aspects, such as teaching, practice, publicity, and participation, all profoundly impact the formation of energy literacy. This study reviews the role of energy education in educational policy-making, the operation of educational systems, the design of innovative energy industry environments, and public participation. Through a systematic review, this study integrates empirical research across various contexts and environments. The relevant topics of empirical research include ‘energy education’, ‘energy literacy’, ‘energy preferences’, ‘energy education policy’, ‘operation of energy education systems’, ‘creation of a renewable energy industry environment’, and ‘public participation’. These studies indicate that energy education can enhance participants’ awareness of energy through knowledge transfer, enabling them to adopt more effective energy solutions and cultivate citizens with energy literacy. Energy education not only shapes the public’s energy literacy but also further influences energy preferences, which in turn can have profound effects on social interactions, market outcomes, and political and social systems. Finally, from the perspectives of ‘educational shaping’ and ‘cultural shaping’, the research explores the impact of energy education on the energy environment and people’s values. The findings reveal that society gradually forms a consensus on energy through long-term interactions, establishing a unique energy culture that subsequently influences the direction and implementation of national energy policies. There exist interactive cycles between energy education and energy policy: energy education influences public energy preferences, while energy culture, in turn, affects policy formulation.

Advancements in Solid Oxide Fuel Cell Technology: Bridging Performance Gaps for Enhanced Environmental Sustainability

In light of the anticipated 50% increase in global energy demand by 2050, the demand for innovative, environmentally conscious, efficient, and dependable energy technologies is paramount. Solid oxide fuel cells (SOFCs) offer a promising solution for sustainable energy production. This comprehensive review provides a detailed analysis of SOFCs, covering their fundamentals, materials, performance, and diverse applications, while also addressing technological challenges and future prospects. The review emphasizes the key advantages of SOFCs, including their high efficiency of up to 60% and minimal environmental impact. It explores the significance of impurity resistance and durability in materials and manufacturing processes for SOFC components. Comparative evaluations demonstrate the superior energy efficiency and ecological effects of SOFCs compared to other fuel cell technologies. SOFCs’ versatility and potential are showcased through their applications in transportation, power generation and storage, portable devices, and residential usage. However, challenges such as cost, longevity, reliability, and integration with other energy systems are identified, emphasizing the need for supportive policies and regulations.

Experimental and machine learning study on the influence of nanoparticle size and pulsating flow on heat transfer performance in nanofluid-jet impingement cooling

Maximizing heat transfer efficiency is crucial for enhancing performance and durability in diverse engineering applications, including fuel cells, EV batteries, and solar PV/T systems, thereby advancing sustainable energy innovation. This study investigates thermal dissipation from a simulated heat sink aligned with a PV cell’s back plate via jet impingement cooling. Specifically, it examines the impacts of pulsatile cooling and nanoparticle size in hybrid nanofluids, comprising combinations of Al2O3 and MWCNT in water, with varied nanofluid volume fraction (0.05 vol% ≤ ɸ ≤ 0.3 vol%) and flow Reynolds number (15000 < Re < 40000). Key findings reveal significant influences of nanoparticle size, nanofluid concentration, and pulsating flow on heat transfer performance. Notably, sample D demonstrated the highest heat transfer enhancement, achieving approximately 52.94 % and 79.06 % improvement in continuous and pulsating jet cooling compared to de-ionized water under continuous jet cooling. Machine learning classifiers were employed to identify critical thermal performance parameters, with Reynolds number identified as the most significant factor influencing heat transfer. Random Forest and Gradient Boosting classifiers showed notable accuracy in predicting Nu, emphasizing the role of machine learning techniques in optimizing thermal management strategies for improved heat dissipation from solar PV cell backplates.

Integration of 2D borophene into semiconducting N, P, S, and F-doped 1D carbon for energy storage and conversion devices

Innovative energy storage and high-performing conversion devices are urgently required to meet global energy issues. In this study, we synthesized and characterized a nitrogen, phosphorus, sulfur, and fluorine-doped one-dimensional carbon (NPSF@C) integrated with two-dimensional borophene (Bph) nanosheets, forming a nanocomposite (NPSF@C/Bph). The physicochemical and structural characterization confirmed borophene’s successful doping and integration into the NPSF@C matrix. Density Functional Theory (DFT) analysis indicated that the doping of heteroatoms and the integration of Bph increased the number of conduction bands in NPSF@C/Bph, effectively reducing the band gap of the material from 1.99 eV (MWCNT) and 1.43 eV (Bph) to 0.067 eV. This transformation was attributed to the introduction of localized states near the Fermi level and an enhanced density of states, resulting in a metal-like behavior for the NPSF@C/Bph composite. The NPSF@C/Bph composite demonstrated a specific surface area of 1962.78 m2/g and a pore volume of 1.2423 cm3/g, significantly enhancing its electrochemical performance. The composite showed a high specific capacitance of 837F/g at a current density of 1 A/g and retained 92.72 % of its initial capacitance after 10,000 cycles. It also exhibited a high energy density of 78.28 Wh/kg and a power density of 4545 W/kg in a symmetric supercapacitor device. Additionally, electrochemical tests revealed that the NPSF@C/Bph composite exhibited a lower overpotential and higher current density for both oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) compared to its counterparts. Specifically, the overpotential for OER is 283 eV, and HER is 73 mV at a current density of 10 mA/cm2. The Tafel slopes were 63 mV/dec for OER and 67 mV/dec for HER, indicating superior reaction kinetics.

An innovative operational model for companies operating bus fleets

The organization and operation of public transport have not escaped the impact of changes taking place worldwide which are driven and influenced by the rapid spread of disruptive technologies and efforts related to climate protection and sustainable development. The challenges posed by the proliferation of electric vehicles (EVs) – including electric buses (BEBs) – require new solutions and new ways of thinking, and a more holistic and innovative operating model for road transport companies using buses. In this model, the authors present a methodology for the delivery of contracted scheduled services that, as part of a systems approach, links a mixed fleet and its appropriate route plan within a data-driven circular operational model, allowing room for innovative energy solutions, the use of renewable energy sources and for satisfaction of increasingly demanding climate and sustainability requirements, all using a logistics science approach.