Energy Mix Research Articles

Analysis of Decoupling Effects and Influence Factors in Transportation: Evidence from Guangdong Province, China

In recent years, global environmental issues have become increasingly prominent. The transportation industry, as the fundamental sector of national economic development, is also characterized by high energy consumption and carbon emissions. Therefore, it is imperative to conduct research on the carbon emission problem within this industry. In light of the Tapio decoupling model, an analysis of the correlation between traffic carbon emissions and economic development in Guangdong province during 1999–2019 was carried out. With the aim of encouraging Guangdong province’s low-carbon transportation development, the factors affecting the transportation industry are analyzed utilizing the generalized Divisia index model (GDIM). We also introduced passenger and freight turnover as an influencing factor for analysis. The findings indicate that (1) Guangdong province’s traffic carbon emissions increased from 1999 to 2019; (2) the traffic carbon emissions’ decoupling effect is mainly “weakly decoupled”, and the overall decoupling effect is not strong in Guangdong province; (3) among the traffic carbon emissions’ factors, the effects of the production value of traffic and the turnover volume are at the forefront, and the effect of turnover volume has gradually exceeded the production value of traffic in recent years. The suppression of the intensity of carbon emissions is relatively large, while the suppression of the intensity of energy consumption and transport is relatively weak. Based on this, strategies were proposed to promote a cleaner energy mix, improve energy use efficiency, create energy savings, develop green technologies, and foster the restructuring of transportation.

Spatial feasibility prediction of green hydrogen scale-up in China under decarbonization policies: Based on improved diffusion model

Hydrogen production from renewable electrolysis is a suitable transformative technology for driving a cleaner energy mix, mitigating climate change, and achieving sustainable development and has been given the color value definition of "green hydrogen". However, this low-carbon technology is still in its infancy, and the pathways for expanding market supply have not been analyzed. To address the problems of unclear factors influencing the diffusion of green hydrogen technology innovation, unclear technology diffusion laws, and inaccurate predictions of regional green hydrogen production capacity under the goal of decarbonization policy, this work constructs a spatial assessment framework of the feasibility of low-carbon technology development in response to climate change on the basis of the theory of technological innovation systems, the improved technology diffusion model, and the feasibility of climate change spatial concepts to analyze and predict the diffusion law and regional green hydrogen production capacity of hydrogen production by renewable energy under the goal of carbon neutrality. The results of the study on the development of renewable hydrogen technology in China show that it follows the law of diffusion of low-carbon technologies in both the formation and growth stages. The diffusion of green hydrogen technology in the formation stage is slow, and the regional green hydrogen capacity in the near term cannot meet the decarbonization policy target demand in 2030. Before the spatial inflection point of technology diffusion feasibility, the demand-pull of the phase decarbonization policy target dominated the stability and sustainability of the green hydrogen supply market. After the inflection point, the internal growth of technology diffusion plays a key role in market diffusion and ultimately reaches a saturation value under the joint regulation of policy and the market to realize a carbon-neutral target capacity demand in 2060. The uncertainty of diffusion model parameters leads to anomalies in the feasibility space of technology diffusion, and risks such as overcapacity or insufficient demand in some regions may occur. Overall, this work provides a systematic assessment system for analyzing and predicting the pathways and characteristics of expanding renewable hydrogen production in specific regions under decarbonization policy objectives.

BRICS carbon emissions: Asymmetric impact of energy mix, financial development, and digitalization

BRICS carbon emissions: Asymmetric impact of energy mix, financial development, and digitalization

Beyond the threshold: Understanding the asymmetric effects of renewable energy on CO2 emissions

While renewable energy deployment is essential to mitigate climate change, the interplay between renewable energy consumption and environmental degradation may not be linear. The environmental aspect of renewable energy consumption may change over time, depending on the scale and technique effects. This may be due to asymmetry in the relationship. Nonetheless, most current literature either assumes linearity, or ignores the turning point of the behavioral change. This results in inconclusive empirical findings at the disaggregated level of renewable energy consumption. This paper utilizes threshold estimation technique to capture the asymmetry in the renewable energy-CO2 emissions relation in the top ten renewable energy consumers covering the period 1990–2020. The literature gap is addressed by deriving the threshold effect at the aggregate and disaggregated levels to prevent aggregation bias. Understanding the thresholds of different renewable energy sources would improve policy effectiveness and resource allocation at different consumption levels to better curb climate change. The threshold estimation technique measures total renewables, hydro, solar, wind, and others (bioenergy and geothermal) as threshold variables. The findings indicate that total renewables and solar consumptions have stronger mitigating effects on CO2 emissions beyond the consumption levels of 4363.37 and 43.58 kWh, respectively. The advantageous environmental effect of wind consumption only manifests above the consumption level of 657.40 kWh. For policy implication, this study recommends an increase in the weightage of renewables in the energy mix by formulating energy-specific policies, in order to optimize the environmental benefits of renewable energy adoption.

Unwrapping the Intricate Interplay Between Energy Dependency and Macroeconomic Volatility in OECD Countries

While research has explored the connection between oil prices and macroeconomic performance, there is limited understanding of the interaction between overseas energy imports dependency and macroeconomic fluctuations. This work addresses the foregoing study using the augmented mean group (AMG) econometrics technique on panel data of 29 OECD net energy‐importing countries from 2001 to 2021. The long‐run finding unearthed that energy dependency intensifies macroeconomic instability, confirming that relying on overseas energy imports will hamper the smooth functioning of domestic economic machinery in the form of energy supply interruption. Besides energy dependency, this study uses government consumption spending, regulatory quality, and globalisation as control variables in macroeconomic instability function. The long‐run outcomes further depict that government consumption spending and globalisation aggravate macroeconomic instability while regulatory quality reduces it. These findings are further checked by applying the pooled mean group‐autoregressive distributed lag (PMG‐ARDL) method. In conclusion, this study provides policy implications to prioritise domestically produced energy use and diversify energy sources by increasing the share of clean energy in the total energy mix.

Ensembled snake optimiser to solve multiobjective mixed energy generation scheduling

This paper presents Ensembled Snake Optimiser (ESO), to optimise the scheduling of mixed energy generation from coordinated thermal, hydro, pumped-storage hydro, and solar units. It tackles operational constraints while minimising non-convex and non-linear objectives. To reduce the pollutants emitted and operating cost of thermal and solar units, the mixed energy generation scheduling problem uses committed hydro, thermal, and solar units to generate power, pumped-storage hydro units to maintain water levels, and hydro units to maximise available water volume. Utilising the water volume and actively exceeding the power-generating limit are the primary obstacles to satisfy the load requirement. The heuristics are utilised to satisfy the load demand and water volume constraints. The binary-optimistic approach commits solar units. The snake optimisation algorithm tends to get trapped in the local minima while solving complex engineering optimisation problems, which leads to sluggish convergence behaviour. A local search, simplex search, and extended opposition-based learning are investigated to improve its exploitation aspect, convergence behaviour, and procure good solutions. Three electric power systems are undertaken for the simulation studies. ESO gives better results. The significant cost savings for integrated energy scheduling are ranging from 10–15%. The rapid convergence behaviour and whisker box plots justify ESO’s robustness.

Renewable Energy in Nepal: Current State and Future Outlook

Nepal’s energy mix is predominantly based on traditional and inefficient biomass and fossil fuels. As a result, there is a notable prevalence of energy scarcity in the country. Within the literature, there exists a lack of a comprehensive review of the potential of renewable energy in the country while the relatively less contribution of renewable energy resources, making the country more vulnerable to adopt a more carbon-intensive energy policy. Consequently, in this study, we conduct a thorough review of existing literature to provide a comprehensive assessment of the current status of renewable energy and the energy mix in Nepal. We also discussed the potential for the country to transition to a sustainable energy system. This review analysis exclusively focused on scholarly articles and research reports that specifically addressed the topic of renewable energy in Nepal. Despite the rapid decline in the cost of solar photovoltaics, Nepal’s renewable energy share currently stands at only 3.2%. This paper argues that Nepal needs proactive and favorable strategies and policies to effectively implement clean energy, based on the given premises and the country’s aspirations for sustainable energy. This involves a substantial amount of solar power production combined with battery storage, supplemented by storage methods such as off-river pumping hydropower technology. The study emphasizes the significance of renewable energy in achieving the United Nations’ Sustainable Development Goals (SDGs). This review also emphasizes the obstacles in the advancement of Nepal’s renewable energy industry and offers suitable policy suggestions to address these obstacles, hence facilitating a sustainable shift in energy.

Enabling modern bioenergy deployment in Nigeria to support industry and local communities

Nigeria intends to rank among the top 20 global economies by 2030 by focusing on industrialisation. However, limiting energy access may slow the rate of industrialisation. Bioenergy integration into Nigeria's energy mix can accelerate the industrialisation agenda due to the co-benefits it offers. We used a disaggregated approach to map agri-residue availability and identify knowledge gaps in agri-residue application to support modern and sustainable bioenergy integration into Nigeria's energy mix. Expert interviews with stakeholders from government departments, small- and large-scale industries, and feedstock producers were used to validate the biomass mapping. The output of the biomass mapping shows that residues from yam, sorghum, wheat, palm, cassava, rice, sugarcane, etc, have knowledge gaps in agri-residue application and they could support the industrialisation agenda of Nigeria. The output of the stakeholder engagement shows that fossil fuels are the main energy source for productive uses in Nigeria. Current waste management practices involve onsite burning and disposal on land. Bioenergy technologies currently deployed in Nigeria are predominantly anaerobic digestion and combustion. Stakeholders have a strong preference for electricity to be the predominant energy vector. However, awareness of modern bioenergy applications and technologies was limited even though Nigeria's Energy Masterplan supports the efficient use of biomass to generate clean heat, electricity and biofuel for industrial, transport and household applications. Based on these findings, we have developed a suite of novel bioenergy case studies to support biomass integration into Nigeria's energy system.

Key effects contributing to changes in energy imports in the EU-27 between 2000 and 2020: A decomposition analysis based on the Sankey diagram

The aim of this paper is to analyse the key effects contributing to changes in energy imports in the European Union (EU-27) in the period 2000–2020. Using the Logarithmic Mean Divisia Index (LMDI), the analysis examines the effect of changes in six factors—energy structure, energy dependence, energy transformation efficiency, energy yield after transformation, energy efficiency and activity—on imports of oil, natural gas and other sources of energy. The results of the analysis reveal that the decarbonisation process has fostered the abandonment of the most polluting fossil fuel sources; however, there has been an increase in energy dependence on less polluting sources that are not produced domestically. In contrast, there has been an opportunity for change through improved energy efficiency, which has made it possible to reduce energy requirements per unit produced. In short, in order to achieve a sustainable and secure energy future, it is crucial to implement policies and actions that promote both the diversification of the energy mix—particularly renewable energies—and efficiency in consumption. Doing so will enable countries to move towards true decarbonisation and minimise vulnerability in their energy supply.

Evaluating the sustainability of a pilot-scale spent lithium-ion battery recycling process

This study presents a sustainability analysis of a pilot-scale process, integrating multiple technologies, designed to recover strategic metals from spent lithium-ion batteries (LIBs). The modularity of the proposed processes allows for a focused sustainability analysis of each technology as part of the overall recycling process, allowing for efficient evaluation and comparison of individual steps. The ESCAPE approach combines simplicity and reproducibility of inventory, providing sufficient resolution to better evaluate the benefits and drawbacks of battery recycling options across various process categories. The results show that positive ESCAPE index values for lithium (Li) and cobalt (Co) are obtained. However, negative values are found for nickel (Ni) and manganese (Mn). The study also evaluates the differences in the sustainability of the proposed pilot across some European countries, accounting for variations in electrical energy mixes and material production footprints relevant to the considered regions. Results indicate that the proposed pilot plant has the potential to support a sustainable LIB value chain.

Current-Day and Future Dunkelflaute Risks for Belgium

Abstract Dunkelflautes, events of low renewable production and potentially high demand, are the most extreme examples of the susceptibility of a renewable energy system with respect to weather variability. Yet, these events currently lack a precise definition in the literature. Based on 41 years of weather data, we explore the resilience of the Belgian energy system with respect to the duration and extremeness of Dunkelflautes or energy drought. Although the hourly average load cannot be covered 89% of the time in our analysis, we find that Dunkelflaute occurrences are generally independent of the energy mix between photovoltaic (PV) panels and wind energy (WE) production (for fractions between 10% and 60% of PV). However, to cope with Dunkelflautes, a system with full PV or full WE provision is very ineffective. While the optimal mix is found to be independent of Dunkelflaute extremeness, it strongly depends on the Dunkelflaute duration: For subdaily or longer than two-daily events, a high WE fraction is optimal, while a high PV fraction is needed for durations of the order of days. More than 56% of Dunkelflautes over Belgium coincide with those in the surrounding countries. Finally, as opposed to weak changes in the climatological average, future climate projections reveal an increase in Dunkelflaute severity, mainly due to a reduction in WE production.

Exploring airborne wind energy: A comparative study and the potential for implementation in Jordan

Airborne Wind Energy (AWE) technologies are fundamentally new and different from traditional wind turbines which have a tower and blades, (AWE) has other unique features regarding cost, transportation, installation, and even the method of generation.(Weber et al., 2019.) Many companies across the globe are developing large kites and aircraft to capture wind energy high up in the sky, these kites and aircraft can reach an altitude up to half a mile above the ground, (Gordon 2023) The generating stations are either based on the ground or airborne, so what are the differences between all of them and which is better? Wind energy has emerged as a promising renewable energy source worldwide, and Jordan is no exception. With its vast potential for harnessing wind power, Jordan has been actively exploring the possibilities of integrating wind energy into its energy mix. For that providing a wind distribution map for all Jordan governorates, to know the possibility of implementing the airborne energy project in Jordan.

Optimized Design of Quinary High-Entropy Transition Metal Carbide Ceramics Based on First Principles

In this paper, we developed models for 21 quinary high-entropy transition metal carbide ceramics (HETMCCs), composed of carbon and the transition metals Ti, Zr, Mo, V, Nb, W, and Ta, employing the Special Quasirandom Structures (SQS) method. We investigated how the transition metal elements influence lattice distortion, mixing enthalpy, Gibbs free energy of mixing, and the electronic structure of the systems through first-principles calculations. The calculations show that 21 systems can form a stable single phase, among which (TiMoVNbTa)C5, (ZrMoNbWTa)C5, and (MoVNbWTa)C5 exhibit superior stability. The formation energy and migration energy of carbon vacancies in systems with strong single-phase stability were calculated to predict their radiation resistance. The formation energy of carbon vacancies is closely related to the types of surrounding transition metal elements, with values ranging between the maximum and minimum formation energies observed in binary transition metal carbides (TMCs). The range of migration energy for carbon vacancies is wider than that observed in TMCs, which can hinder their long-range migration and enhance the radiation resistance of the materials.

Increasing Renewable Energy Penetration on Low-Voltage Networks: An Expert Knowledge Approach

While South Africa is deemed one of the countries with the highest irradiation levels, it still utilises coal as its primary energy source due to its abundance. Due to the world-wide drive towards carbon neutrality, residential, commercial, agricultural, and industrial consumers are considering small-scale embedded generation systems. The National Rationalised Specifications 097-2-3 document specifies the scale of the embedded generation capacity a consumer is allowed to install. However, specifications do not yet make the required provisions for the addition of energy storage. The effective collective management of the grouped small-scale embedded generation systems could provide a high level of energy security and increase the percentage of renewable energy generation in the total energy mix. Potential challenges come into play when considering the stochastic nature of photovoltaic generation and its effect on the storage capacity and the dispersion in load profiles of the residential units typically present on a low-voltage network. This paper contributes by investigating the utilisation of photovoltaic generation in conjunction with storage as the basis for virtual power plant control, with the aim to safely increase renewable energy penetration and improve energy security, all while remaining within the South African low-voltage regulatory limits. A two-level virtual power plant controller is proposed with the dispersed energy storage units as the primary controllable resources and the dispersed photovoltaic generation as the secondary controllable resources. The objective of the controller is to achieve nodal energy management, energy sharing, and ancillary service provision and finally to increase renewable energy penetration. A representative single-feeder low-voltage network is simulated, and test cases of 50% and 75% renewable energy penetration are investigated as the basis for evaluation. The proposed controller architecture proved to maintain network integrity for both test cases. The adaptability of the controller architecture was also confirmed for a changed feeder topology; in this case, it was a multi-feeder topology. Future work is warranted to inform policy on the allowed levels of renewable energy penetration to be based not only on demand but also on the level of energy storage present in a network.

Biomass Energy: A Crucial Component in the Renewable Energy Mix

Abstract: This paper examines biomass energy’s essential role in the renewable energy sector as a sustainable and flexible solution to rising global energy demands. It reviews various biomass types, conversion technologies, and their environmental, economic, and social impacts while addressing the challenges limiting biomass adoption compared to other renewables. Prospects for biomass energy are also discussed, focusing on technological advances, policy trends, and its role in supporting global energy transitions. The analysis highlights biomass's potential as a critical contributor to a sustainable energy system, emphasizing that, with appropriate support, it could become a cornerstone of renewable energy strategies to reduce carbon emissions.

GAPS OF INDIAN ELECTRICAL ENERGY SECTOR AND ITS OPTIMAL MITIGATION BY USING OPTIMAL UTILIZATION OF INDIAN RENEWABLE ENERGY POLICY WITH THE HELP OF THE P&O MPPT TECHNIQUE

Developing countries, especially, India, depend importantly on energy sources to perform their country’s industrial and economic activities. Mainly the two factors continuous population growth of the country and the rapid growth rate of industrialization of the country, the gap between electrical energy supply and demand for electrical energy is slowly and consistently increasing. To resolve this unevenness, there is a jointly planned attempt is required to enhance the contribution of renewable energy in the all over mix of energy. Despite these attempts, unexpected surges caused by the sector of domestic energy consumption could lead to important shortfalls between energy requirements at peak demand and available supply in India. As a solution to this challenge, the Union government of India has launched a new policy, named PM SURYA GHAR: MUFT BIJLI YOJANA, targeted to handle this crucial problem head-on. This initiative requires addressing the increasing energy demand by promoting the utilization of solar power in households throughout the length and breadth of the country. With the implementation techniques of Photo voltaic optimization, this analysis explores how such types of strategies can play a significant role in filling the gap between the energy supply-demand in the Indian context. Employing the solar energy potential and optimizing and utilization of solar energy, creates a path to not only meet the enhancing energy requirements but also creates the path for a more environmentally friendly and sustainable energy in India. By integration of innovative technologies and solutions of renewable energy holds the key to ensuring a balanced, sustainable, stable energy supply for the future of India and country’s growth and development.

Evaluation of Greenhouse Gas Emission Assessment Resulting from Processing Municipal Organic Waste into Bahan Bakar Jumputan Padat for Co-firing in Power Plants; Case Study: Bagendung Landfill Cilegon City

One type of biomass that can be used as fuel for co-firing in power plants is Bahan Bakar Jumputan Padat (BBJP)/Solid Waste Fuel. BBJP is a non-hazardous waste derivative that cannot be recycled. The production process of BBJP is strictly regulated by the Indonesian national standard (SNI) 8966:2021. The definition, characteristics and specifications of BBJP are much closer to Solid Recovered Fuel (SRF) than Refuse Derived Fuel (RDF). The utilization of BBJP reflects the dedication to reducing waste in landfills with a circular economy concept approach as well as the transition of the energy mix in Indonesia. To the present day, the production capacity of BBJP at Bagendung landfill in Cilegon City, Banten Province, has successfully produced 30 tons/day of organic municipal waste with an average BBJP product yield ranging between 11-15 tons/day. This research is intended to assess the Greenhouse Gas emissions (GHG) generated from the processing of municipal waste into BBJP. There are three main processes that produce GHG emissions, namely during bio drying processing, the use of machinery that produces emissions from electricity and the transportation process that produces combustion emissions in diesel fuel. As a result, direct GHG emissions arising from all waste processing activities into BBJP consist of 10 pollutants, namely CH4, N2O, CO, NH3, CO2, NOX, SO2, NVMOC, PM2.5 and ID(1,2,3,c,d)P. CO2 emission is the largest pollutant, accounting for 96.70% of the entire BBJP process.

Decentralized Clean Energy for Rural India: The Role of Small Modular Reactors

India's rapid development and expanding population have intensified the need for sustainable energy solutions. This is particularly significant in addressing the growing disparity in energy access between urban and rural communities. As the country shifts from traditional fossil-fuel-based power generation to cleaner technologies, nuclear energy is poised to play an increasingly vital role. Small Modular Reactors (SMRs) represent a promising option to meet these energy demands in a decentralized and environmentally friendly manner, especially in rural regions. In this perspective article, we explore the technological, economic, social, and environmental advantages of deploying SMRs in rural India. SMRs offer the potential for faster and cheaper build, as well as stable and reliable power, which is essential for driving economic growth in underdeveloped areas. However, several challenges need to be addressed, including regulatory and legislative hurdles that could impede the integration of SMRs into the existing energy mix. This article also suggests solutions such as leveraging India’s existing reactor technology expertise, utilizing the mature supply chain framework, co-locating SMRs with renewable energy sources, and advocating for necessary regulatory and legislative reforms. These would help SMRs serve as a crucial bridge in facilitating a smoother transition from fossil fuel plants to clean energy technologies, particularly in underserved rural communities.

An Empirical Study of the Economic Net-Zero Energy Mix in Industrial Complexes

This study examines the optimal energy mix for industrial complexes by incorporating renewable energy systems, decarbonization strategies, and sector coupling technologies. Using data from the Balan Industrial Complex in Korea, five energy scenarios were evaluated, ranging from conventional systems (Scenario 1) to advanced renewable configurations (Scenario 5). The results show that Scenario 5, which integrates sector coupling systems and decarbonization technologies, is the most cost-effective and environmentally sustainable. Scenario 5 achieves the lowest Net Present Cost (NPC), and significantly reduces CO2 emissions. Furthermore, an analysis of electricity prices and CO2 costs from Korea, the United States, and Germany highlights the critical role of regional electricity tariffs and carbon pricing in determining the economic feasibility of energy systems. While renewable setups require higher initial investments, Scenario 5 proves to be the most economically viable over time, offering both cost savings and environmental benefits. These findings provide valuable insights for policymakers and industry leaders, emphasizing the importance of customized strategies to optimize energy systems in industrial applications.

Optimal Planning of Renewables Energies Management in Power Energy Systems

Optimal management of renewable energy resources is a priority, especially in a global energy mix where fossil fuels are increasingly exploited. The major challenge associated with these renewable resources lies in their intermittency. Complementarity and optimal management of these resources are therefore essential. This article proposes a model for managing renewable energies in power grid systems with a storage system. The resulting model has been tested. Python 3.10 programming language was used to solve the optimization problem, using mixted integer linear programming. To test the model, a special case study was carried out in the South of Togo, representing almost 96% of the country's electrical loads. In this study, resources were first evaluated for one year, then compared according to their evolution over the years. The results showed that the country's energy potential is considerable, but unevenly distributed. The study showed that in the north and center of the country, solar energy and biomass are the main resources available. In the south, on the other hand, energy potential is based on solar, wind, hydro and biomass. The optimization results obtained for the south of the country have enabled to plan better the management of these resources over the course of the year. The results show a composition of maximum load satisfaction, with 39% from grid compared with 8% from hydro, 10% from wind, 12% from batteries systems and 31% from photovoltaic systems. The storage required for energy management is estimated at 220 kWh, with an optimal annual value for the objective cost function of around 67885.10212 USD. The model thus obtained provides a decision-making tool for the optimal management of renewable resources.