Search Results (146)

This study examines the association between the fossil fuel share in electricity generation, energy-related climate change mitigation technologies, and CO₂ emissions in four selected major emitting economies—China, the United States, India, and Russia—over the period 1990–2023. Using an extended STIRPAT framework, the analysis considers both consumption-based and territorial CO₂ emissions per capita to distinguish between demand- and production-side perspectives on environmental responsibility. The fossil fuel electricity variable is measured as the combined share of electricity generated from coal, oil, and gas in total electricity generation and is further disaggregated into coal-, oil-, and gas-based shares. Energy-related technological innovation is proxied by the share of climate change mitigation technologies related to energy generation, transmission, or distribution among environment-related technologies. The baseline ECM and Driscoll–Kraay fixed-effects estimates indicate that the aggregate fossil fuel share in electricity generation is positively associated with both emissions measures, while the technology variable is negatively associated with emissions. However, the FMOLS estimates are less consistent, suggesting that long-run coefficients are sensitive to estimator choice. Country-level disaggregated estimates reveal substantial heterogeneity across fuels and countries, with coal-based electricity generation showing the most consistent positive association with emissions in China, India, and the United States. The findings suggest that electricity sector decarbonization in major emitters should prioritize coal substitution, renewable-energy deployment, grid modernization, and targeted energy-technology innovation, while climate responsibility assessments should consider both territorial and consumption-based emissions. Full article

Accurate forecasting of hourly electricity consumption is critical for smart grid management, energy market operations, national policy planning, and—particularly for import-dependent economies such as Türkiye—energy security. This study presents, to the best of the authors’ knowledge, the first systematic benchmark of four state-of-the-art time series architectures—TimesNet, PatchTST, iTransformer, and Temporal Fusion Transformer (TFT)—conducted specifically on a national-scale Turkish multivariate energy dataset from the Energy Exchange Istanbul (EPİAŞ), covering 72,322 hourly observations across 15 generation, consumption, and market-clearing price variables from January 2018 to April 2026. While benchmark studies of Transformer-based architectures exist on general time-series datasets, no prior work has applied this specific combination of architectures to the EPİAŞ dataset under unified experimental conditions with an explicit energy-security interpretation. All models were trained under standardized preprocessing (StandardScaler), a 24 h lookback window, and systematic hyperparameter optimization. Experimental results demonstrate that iTransformer achieves the best predictive performance (MAE = 521.34 MWh, RMSE = 748.12 MWh, R² = 0.9881, MAPE = 1.34%), followed by TFT (R² = 0.9863) and PatchTST (R² = 0.9844). TimesNet, while the most computationally efficient, achieves an R² of 0.9791. Beyond predictive benchmarking, this study situates the findings within Türkiye’s energy security agenda: the dataset captures fossil fuel dependency, the growing share of domestic renewables, and market-clearing price dynamics shaped by geopolitical shocks, including the Russo–Ukrainian war and evolving EU–Türkiye energy relations. Comprehensive analysis of model architectures, attention mechanisms, temporal feature importance, and computational efficiency is provided. These findings establish a rigorous baseline for deploying modern sequence models in large-scale, real-time national energy forecasting systems that serve both market-efficiency and strategic-energy-autonomy objectives. The results specifically highlight how high-fidelity forecasting can serve as a risk-mitigation tool against geopolitical supply disruptions by quantifying the impact of domestic renewable integration. Full article

Atmospheric pollutants and CO₂ share common origins in fossil fuel combustion, raising the question of whether fiscal incentives targeting air quality alone can indirectly reduce carbon emissions. This study examines this question by evaluating China’s air quality ecological compensation policy, a provincial-level horizontal fiscal transfer mechanism under which cities are rewarded or penalized according to changes in ambient air quality indicators, without incorporating any explicit carbon-related assessment criteria. Using panel data from 268 prefecture-level cities over 2007–2023 and a multi-period difference-in-differences design, we find that the policy significantly reduces the composite pollution carbon index (β = −0.213, p < 0.01), with the effect confirmed by an alternative weighted-average specification (β = −0.153, p < 0.01) and robust to propensity score matching, one-period lagged regression, exclusion of provincial-level municipalities, and exclusion of the COVID-19 period. A two-step mechanism analysis, adopted to avoid post-treatment bias from “bad controls,” reveals that the policy promotes industrial structure upgrading (β = 0.253, p < 0.01), enhances green technological innovation capacity (β = 0.047, p < 0.10), and reduces energy consumption intensity (β = −0.012, p < 0.01). Heterogeneity analysis based on quartile subsamples shows that the synergistic benefits concentrate in cities with stronger fiscal capacity (β = −0.349, p < 0.01 versus insignificant for low-support cities), higher economic development, and greater urbanization (β = −1.558, p < 0.01 for highly urbanized cities), while the policy effect is statistically insignificant in the least-advantaged subgroups across these three dimensions. In contrast, the green coverage dimension reveals an opposite pattern: the effect is strongest in cities with lower green coverage (β = −0.378, p < 0.05) and insignificant in high-coverage cities, indicating diminishing marginal returns where environmental baselines are already favorable. These findings highlight the need for differentiated compensation standards, including tiered compensation coefficients and targeted fiscal support for resource-constrained regions, to ensure equitable governance outcomes. Full article

Achieving Net-Zero Energy Building (NZEB) performance through retrofitting requires identifying optimal measures that effectively enhance energy efficiency. Determining these optimal retrofit strategies typically involves running thousands of building energy simulations, which imposes a substantial computational burden. To address this challenge, a novel machine learning-based framework is proposed to optimize retrofit strategies for NZEBs under future climate change scenarios. A Non-Dominated Sorting Genetic Algorithm (NSGA-III) is employed to minimize both annual energy consumption and the Predicted Percentage of Dissatisfied (PPD), while simultaneously ensuring net-zero energy balance, thereby generating a Pareto front of optimal solutions. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is then applied to rank the Pareto-front solutions and identify the most favorable retrofit scenario. The results show that the proposed framework reduces optimization time by at least a factor of two compared with simulation-only optimization. Leveraging these computational savings, the framework evaluates a suite of passive and renewable measures across multiple future timeframes to capture the influence of climate change on retrofit performance. The findings indicate that achieving NZEB under future climate conditions requires higher levels of thermal insulation and greater renewable integration than under present-day conditions. Under the Shared Socioeconomic Pathways (SSP) framework, optimal insulation levels in the fossil fuel-dependent scenario are lower than in the sustainable scenario by up to 18% in C-type (warm temperate), 12% in D-type (snow), and 13% in E-type (polar) climates. The combined retrofit measures can reduce annual energy consumption by up to 80% and lower PPD by as much as 67% compared to the base case. Full article

Many emerging economies seek to lower carbon intensity while remaining heavily dependent on fossil fuels. This paper examines how sustainable finance, eco-innovation, and the energy mix shape Tunisia’s low-carbon transition. We use quarterly data for 2000–2023 and an econometric environmental-impact model that links carbon intensity to green finance, innovation, renewable and fossil energy, openness, income, and demographic factors. The results show that sustainable finance consistently reduces carbon intensity across all emission states, with stronger effects when emissions are high. The energy mix is crucial: a larger share of renewable energy lowers carbon intensity, while higher fossil energy use increases it and reinforces fossil carbon lock-in. Eco-innovation has its strongest mitigation effects in high-intensity situations, suggesting delayed effects linked to limited absorptive capacity and technology diffusion. Openness and demographic pressure tend to raise emissions through scale and consumption channels. Overall, the findings depict a finance-anchored but energy-constrained transition. They indicate that Tunisia and similar MENA economies can accelerate decarbonization by scaling credible sustainable finance instruments, speeding up renewable deployment, and strengthening the innovation and governance framework that supports green investment, innovation policy, and energy sector reform in semi-industrialized economies. Full article

The growing environmental challenges and the urgent need for an accelerated energy transition have intensified the European Union’s efforts to expand the use of renewable energy sources and reduce dependence on fossil fuels. This study estimates the impact of selected socioeconomic, political, and technological factors on the share of renewable energy in gross final energy consumption. This issue is of key relevance for EU energy and climate policy, particularly in the context of the ongoing transformation processes in Central and Eastern European (CEE) Member States. The analysis covers eleven CEE countries—Poland, the Czech Republic, Slovakia, Hungary, Romania, Bulgaria, Lithuania, Latvia, Estonia, Croatia, and Slovenia—over the years 2004–2023. Using panel data models in both static (fixed effects) and dynamic specifications, the study identifies the determinants of renewable energy development and captures inertia effects. The results reveal strong links between energy security and renewable energy deployment, where the pursuit of greater self-sufficiency often slows the expansion of renewable energy. Countries with high greenhouse gas emissions also show limited incentives to accelerate renewable energy integration. Based on the findings, this study proposes policy recommendations aimed at enhancing energy efficiency, strengthening energy security, and supporting the long-term sustainable growth of renewable energy in the region. Full article

One of the main processes of shoe-sole production is injection molding, in which the desired shape is achieved by injecting a heated thermoplastic polymer in a highly plastic state under high pressure into the mold cavity. The study shows the energy analysis and share of electricity costs in the process of injection into the mold cavity to achieve the desired shape and describe the production process of PVC. Although fairly accurate energy-consumption comparison in the injection-molding process is almost unachievable since it depends on the type of machine, feedstock and molded product, it is still crucial for optimizing energy efficiency. The analysis showed that the basic process requirements of shoe-sole injection molding requires electrical energy in the amount of 5.76 kWh per pair of produced soles, while an increase in energy efficiency and environmental pollution reduction can be achieved by the return of process condensate, with a return share of Y = 80%. The price of electricity per pair of manufactured shoe soles is calculated, and given the fluctuations regarding fossil fuel market, the heat recovery potential leading to fossil-fuel savings in PVC production is analyzed. Full article

Within the energy system, agriculture represents a distinct sector, as it functions both as a consumer of energy derived from fossil fuels and renewable sources and as a producer of renewable energy. Since energy consumption is closely linked to production intensity and cost efficiency, energy costs have a direct impact on farm profitability and financial stability. The aim of the study is to analyze and assess the relationships between energy costs and the financial situation of farms in Poland in comparison to the European Union average, based on data from the Farm Accountancy Data Network (FADN) and its successor, the Farm Sustainability Data Network (FSDN), covering the years 2014–2023. The study focuses on differences in the structure and burden of energy costs and their implications for the economic performance and financial resilience of agricultural holdings. The comparative analysis revealed that farms in Poland are characterized by a higher share of energy costs in total production costs and a higher ratio of energy costs to total income compared to the EU average, indicating lower financial resilience to energy price volatility. These findings suggest that measures aimed at improving energy efficiency, supporting technological modernization, and encouraging the adoption of on-farm renewable energy could strengthen the long-term stability and competitiveness of Polish agriculture. Full article

Free-floating shared e-scooters (FFSE) have been promoted as a sustainable urban mobility solution, yet their true energy and environmental impact remain contested. This study conducts an attributional life cycle assessment (aLCA) across 32 cities in Europe and North America to evaluate the fossil energy consumption and greenhouse gas (GHG) emissions of FFSE systems. By integrating real-world operational data—including vehicle lifespan, daily turnover rates, and city-specific modal substitution patterns—we quantify the direct and net environmental impacts under varying rebalancing and charging scenarios. Results indicate that FFSE systems do not inherently provide net energy and environmental benefits. Instead, achieving net reductions in greenhouse gas emissions and fossil energy consumption depends on systems operating beyond specific thresholds of service life and total travel distance. These thresholds vary dramatically across cities, influenced by modal substitution patterns and local operational efficiency (i.e., rebalancing intensity, daily turnover rates, and trip distance). Cities with high car displacement and efficient operations achieve net GHG and energy savings at lower life cycle mileages, whereas systems that replace walking or public transit often have negative impacts. Additionally, the distribution of energy and environmental impacts across the life cycle shifts fundamentally with vehicle longevity. When the travel distance exceeds 4000–5000 km, it transitions from being manufacturing-dominated to operation-dominated, with rebalancing and electricity use becoming the primary contributors. The research provides evidence-based guidance for policymakers and operators seeking to maximize the contribution of shared micromobility systems to energy conservation and emission reduction. Full article

The global energy transition is expected to require three to twenty times more land areas than fossil fuel-based power generation, making the availability of suitable land for the global energy transition a key challenge. Based on different types of energy resources, this study designs a telecoupling multi-regional input–output (MRIO) model to analyze cross-border electricity-driven embodied land appropriation patterns. The results show that the land footprint associated with renewable energy is substantially lower than that associated with conventional power generation. However, the growth rate of this footprint is 2.18 times higher than that of conventional electricity generation. China and Germany are identified as key export markets for wind- and solar- driven embodied land. The share of electricity-driven embodied land from China to the United States, Japan, and Germany declined, whereas the embodied land flowing to countries including South Korea, India, and Singapore increased. Embodied land-exporting nations face trilemma issues related to environmental degradation chain reactions, resource consumption threshold lines, and social distribution tensions, which may significantly affect decarbonization progresses. By integrating renewable power infrastructures and land use occupation, this analytical framework is expected to advance the understanding of energy–land nexus dynamics, providing theoretical foundations for cross-system governance in the implementation of carbon neutrality. Full article

To reduce fossil fuel dependency in shipping, adopting alternative fuels and innovative propulsion systems is essential. Solid Oxide Fuel Cells (SOFC), powered by hydrogen carriers, represent a promising solution. This study investigates a multi-fuel SOFC system for ocean-going vessels, capable of operating with ammonia, methanol, or hydrogen, thus enhancing bunkering flexibility. A thermodynamic model is developed to simulate the performance of a 3 kW small-scale system, subsequently scaling up to a 10 MW configuration to meet the power demand of a container ship used as the case study. Results show that methanol is the most efficient fueling option, reaching a system efficiency of 58% while ammonia and hydrogen reach slightly lower values of about 55% and 51%, respectively, due to higher auxiliary power consumption. To assess technical feasibility, two installation scenarios are considered for accommodating multiple fuel tanks. The first scenario seeks the optimal fuel share equivalent to the diesel tank’s chemical energy (17.6 GWh), minimizing mass increase. The second scenario optimizes the fuel share within the available tank volume (1646 m³), again, minimizing mass penalties. In both cases, feasibility results have highlighted that changes are needed in terms of cargo reduction, equal to 20.3%, or, alternatively, in terms of lower autonomy with an increase in refueling stops. These issues can be mitigated by the benefits of increased bunkering flexibility. Full article

This paper aims to provide an assessment of the current global outlook in the transition from fossil fuels to renewables. This subject is especially important, given the significant economic and environmental impacts associated with continued reliance on fossil fuels, the global commitments under the Paris Agreement to limit the temperature increase, and the growing demand for clean, sustainable energy sources to support sustainable growth. While global renewable capacity more than doubled in the last ten years, the share of renewable sources in total energy consumption remains stable at 17 percent, indicating the multidimensionality of the transition from fossil fuels to renewables. This increase in renewable energy capacity fell short of the stronger rise in global energy consumption, also highlighting the need for an assessment of the outlook. This study proposes a multifaceted approach for a smooth energy transition. The facets addressed in this paper are: technology, innovation and R&D, investment and financing, energy efficiency measures, domestic policy support, and international cooperation and collective effort. Additionally, the challenges related to each facet of transition are presented. Among the facets discussed, this paper proposes that renewable energy technologies and energy efficiency practices are at the heart of the transition, due to the potential synergies. Furthermore, there is a need for an integrated approach that considers technological, economic, and other aspects of the transition in a unified manner. Last but not least, international collective effort for low-carbon transition should not be overlooked. Full article

Due to the ever-increasing energy demand, Algeria’s sustainable energy crisis is a significant problem. Plant and crop residues can be a solution to this problem if they are used for bioethanol production, a viable alternative to fossil fuels. This study explores the potential of existing agricultural crop residues to overcome the sustainable energy crisis in Algeria. Agricultural residues such as cereals, roots and tubers, pulses, oil crops, vegetables, and fruits have great potential to solve the problem. The agricultural residues that are normally wasted can be utilized to produce bioethanol, which provides sustainable energy and also help to obtain a clean environment. It has been found that 1.65 million tons of bioethanol can be produced from Algeria’s available residues, which is equivalent to 44.10 petajoule of energy. Cereal and fruit residues contribute to most bioethanol generation, about 47.22% and 23.38%, respectively. In addition, bioethanol generated from residue can be used in Algeria’s transportation sector. Considering Algeria’s current energy condition, gasoline blended with ethanol such as E10 and E5 can be used in Algerian vehicles since no modification of vehicles is needed for utilizing these fuels. Research indicates that lignocellulosic biomass sources in Algeria, such as Alfa, olive pomace, and cereal straw, could provide up to 0.67 million tons of oil equivalent (Mtoe), representing approximately 4.37% of the energy consumption of the transport sector in Algeria. Algeria has the potential to produce up to 73.5 Mtoe and 57.9 Mtoe of renewable energy utilizing the energy crops. This study will also encourage relevant policymakers to develop sustainable energy policies that will enhance the renewable energy share in Algerian energy dynamics. Full article

The global energy landscape is transforming, driven by the urgent need to address climate change, reduce dependency on fossil fuels, and promote sustainable economic growth. Renewable energy sources (RESs) have emerged as a cornerstone of this transition, offering environmental benefits and significant potential to catalyze economic development. By harnessing inexhaustible natural resources, such as solar, wind, hydro, and biomass, renewable energy systems provide a pathway to achieving energy security, fostering innovation, and generating new economic opportunities. In this article, the economic effect on the RES sector development was examined. The authors defined the set from seven indicators: real GDP growth, unemployment rate, inflation rate, exports of goods and services, government debt, foreign direct investments, and labor cost index, which allowed them to evaluate the EU countries’ economic situation and rank the countries by economic stability level. The results, which were obtained using a multi-criteria evaluation method, show that the EU countries whose economies are the strongest according to the evaluated macroeconomic indicators are Luxembourg, Malta, Estonia, and Ireland. The countries with the lowest scores are Greece, Italy, and Spain. Seeking to evaluate the development level of the RES sector in all ranked EU countries, the analysis of RES sector development during the 2012–2022 period, using these RES indicators—share of renewable energy in gross final energy consumption by sector—in general, in transport, in electricity, and in heating and cooling, was carried out and, through a different multi-criteria method, the countries were ranked by RES development. After the analysis was carried out, it could be stated that the economic situation stability in the country does not directly affect the growth of the RES sector development, and the two rankings by different indicators are heavily uncorrelated. RES sector development can be affected by many other circumstances. RES development is still stagnating in some countries, despite macroeconomic stability, for several reasons: institutional and political barriers, differences in the availability of finance, infrastructure limitations, and technological and human resource shortages. Full article

The world’s energy system faces major challenges due to transitions from fossil fuels to other alternatives. An important part of the transition is energy-efficient homes that partially produce their own electricity. This paper explores the energy interactions between heating, cooling, and electricity usage in a planned residential area in Sweden where a significant portion of the electricity is generated by solar PV systems. Conventional district heating and cooling systems and a low-temperature district heating system that uses return cascading technology were compared with heat pump systems. Electricity sharing in an energy community has a low impact on the calculated national energy efficiency metric. It is also shown that electrifying space heating with heat pumps improves the calculated energy efficiency metric, but heat pumps increase the peak power demand in the winter due to high heat demand and a lack of solar production. Using heat pumps for heating domestic hot water and compressor chillers for cooling offers a more balanced use/production of electricity since the electric cooling load is mostly met by local solar production, as shown by an increase in self-consumption of 8% and stable self-sufficiency. There is, however, a time mismatch between production and the peak electricity demand, which could be addressed by using energy storage systems. Full article