Use Of Renewable Energy Research Articles

Uncovering the drivers of ecological footprints: A STIRPAT analysis of urbanization, economic growth, and energy sustainability in OECD countries

This study investigates the impact of human activities on environmental degradation, focusing on the roles of urbanization, economic growth, energy intensity and renewable energy within the STIRPAT framework. To this end, the study adopts the ecological footprint (EF) as the environmental indicator. Employing Panel Quantile Regression, the study analyzes data from 31 OECD countries spanning the period 2000–2021. The findings reveal that renewable energy consumption and urbanization exert significant negative influences on the EF, with urbanization proving more effective than renewable energy usage across all quantiles. Both economic growth and energy intensity contribute to environmental degradation, and the impact on the EF escalates with higher quantiles. Additionally, the causality test results demonstrate a two-way causal link among urbanization, economic growth, energy intensity, renewable energy use, and EF. Finally, based on the empirical results, this paper suggests that an energy revolution should be carried out to promote the sustainable use of energy. Meanwhile, the high-level urbanization is suggested to reduce the EF through the aggregation of living production to achieve sustainable development.

Examining the contribution of globalization, renewable energy, and economic growth towards CO2 emissions in the G‐7 countries

AbstractMost of the world's developed countries have negative consequences of unbalanced economic growth and environmental sustainability. The current study contributes to the literature by investigating the impacts of sub‐indices of globalization, renewable energy, and economic growth on CO2 emissions in G‐7 countries of United Kingdom, United States, Japan, Canada, France, Italy, and Germany. The article demonstrates the correlation between numerous variables in the G‐7 countries between 1990 and 2020, including GDP per capita growth, CO2 emissions, globalization, and renewable and non‐renewable energy. The Pooled Mean Group (PMG) technique performs significant tests for cross‐sectional dependence, panel unit root, co‐integration, and descriptive statistics. The study results show that environmental pollution rises with economic growth and falls in the presence of renewable energy sources. Renewable energy use, political globalization, and economic globalization lower environmental harm. From the finding, we indicate that we reduce the environmental pollution in the given countries by lowering or raising the factor affecting the country. A globe map was used in the current study to assign the G‐7 nations. Based on the findings, we addressed several policy initiatives.

The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, green supply chain management, and CO2

Since 2012, China has pursued an “ecological civilization” policy to promote green energy, increase environmental protection, and transition to more sustainable growth models. The complicated positive trends in energy consumption, more sustainable economic growth, and ecological management are obscured by China's persistent, significant dependence on fossil fuels, particularly coal. The study aims to analyze how renewable energy use in China affects carbon dioxide emissions and how those impacts change over time, as well as urbanization, industrialization, tourism, and green supply chain management. The DOLS dynamic system method used historical data from 1995 to 2022. The DOLS results show a positive and statistically significant economic growth coefficient in the long term, suggesting that an increase of only one percent in CO₂ emissions rise would be proportional to a surge in economic growth.Furthermore, using renewable energy sources correlates with long-term sustainability negatively and significantly. The results show reducing CO₂ emissions and boosting renewable energy use by 1 %. Furthermore, the long-run coefficients for industrialization and urbanization are positive and statistically significant, indicating that a 1 % increase in either component results in a comparable increase in CO₂ emissions. Sustainable logistics and tourism have negative and statistically significant coefficients, meaning that a one percent increase will gradually decrease carbon dioxide emissions. The estimated findings hold up when using other estimators, such as the commonly used co-integrating regression (CCR) strategy and fully modified least squares (FMOLS). When Granger causality is coupled, the test also catches the variables' causal link. test. To achieve environmental sustainability, the essay suggests using robust regulatory policy tools to curb ecological deterioration.

Energy and exergy analysis of a parabolic trough driven an ORC cycle for heat and power supply

Converting solar energy using the Parabolic Trough Collector (PTC) to produce electrical energy and supply industrial heat is one of the most prominent and most popular sustainable and renewable, widely used throughout the worldwide due to its effectiveness and benefit returns. For this reason, this study aims to investigate the effectiveness of these power plants under a specific climatic conditions and analysis the results come out from the simulation using an EES developed model. The analysis investigates the energy and exergy of the PTC plant coupled with Turboden ORC cycle. The presented model allows us to preview the theoretical results and derive the expected results smoothly, with the possibility of development for a better control of the use of renewable energies in the industrial field. The thermal efficiency of the ORC cycle increases as the heat output increases until it reaches an almost constant value above 2801 [kW] in heat output with a output capacity of the ORC cycle about 1 [MW].

Globalization’s effects on South Asia’s carbon emissions, 1996–2019: a multidimensional panel data perspective via FGLS

Researchers and policymakers hold diverse opinions about the impact of globalization on environmental degradation. Over the past three decades, increased economic, social, and political interconnections have fueled this debate. However, prior studies have largely overlooked these facets of globalization concerning environmental implications, particularly carbon emissions in developing countries. We contribute to this discourse by examining how various aspects of globalization (economic, social, and political) and two specific measures, de facto and de jure trade, influenced carbon emissions in four selected South Asian countries from 1996 to 2019. The results obtained through feasible generalized least squares (FGLS) reveal that economic globalization increases carbon emissions while social and political globalization reduces them. These results further confirm that, in South Asia, the pollution haven hypothesis is associated only with economic globalization. In contrast, social and political globalization support the world polity theory, indicating potential for positive change. The results also show that both de facto and de jure measures of disaggregated globalization equally influence carbon emissions, suggesting a significant impact from policy interventions. For future environmental sustainability, the governments of these nations should intensify their efforts to strengthen social and political globalization. Meanwhile, the adverse effects of economic globalization can be mitigated by reducing reliance on fossil fuels and providing financial assistance to businesses to encourage the use of renewable energy and modern technology in production.

Energising the Future: A Dynamic Capabilities Approach to Vietnam’s Renewable Energy Industry From the Supply and Demand Side

Incorporating the underpinnings of the dynamic capabilities framework and an inductive approach, the sensing, seizing, and reconfiguring elements of renewable energy usage are examined through interviews with 24 representatives of the supply and consumer sides. The data analysis reveals 18 dimensions providing conceptual and empirical guidance. Among these dimensions, the performance-seeking aims and high-order burdens intricately uncover the nuances of sensing opportunities and challenges. Simultaneously, the knowledge-enrichment mindset and technical continuity path shed light on pivotal aspects of seizing and reconfiguring. The analysis and dimensional exploration culminate in a refined framework, fortifying the theoretical and practical underpinnings of renewable energy’s utilisation within an emerging economy. Moreover, the study establishes meaningful connections with the dynamic capabilities framework, offering implications for the research community, stakeholders in the renewable energy sector and governmental representatives alike.

Regression Analysis of the Impact of Foreign Direct Investments, Adjusted Net Savings, and Environmental Tax Revenues on the Consumption of Renewable Energy Sources in EU Countries

It is very important for EU countries to achieve energy independence. But this is actually impossible without a high level of use or consumption of renewable energy (RE) sources. Important parameters affecting the consumption of RE sources are as follows: foreign direct investments (FDI), adjusted net savings (ANS), and environmental tax revenues. In the presented work, the likely impact of the above indicators on the level of use of RE sources was estimated using a second-order regression equation. As a result, it was established that the growth of the adjusted net savings indicator and an increase in environmental tax revenues (ETR) have a positive effect on the level of use of RE sources. With significant FDI, the level of ANS does not have a very obvious effect on the growth of the level of use of RE sources. An increase in the level of ANS allows for an increase in ETR, which in turn contributes to an increase in the level of consumption of RE sources. It was also established that an increase in the level of ANS contributes to a more complete realization of the potential of FDI for the development of RE. It has been empirically established that a consistently high consumption of renewable energy sources is actually possible in the countries with a high level of adjusted net savings, high environmental tax revenues, and active attraction of foreign direct investments.

INOVASI TEKNOLOGI UNTUK KONSERVASI SUMBERDAYA MINERAL: TANTANGAN DAN PELUANG

Technological innovation has become the key to improving mineral resource conservation worldwide. In this paper, we discuss the challenges and opportunities faced in developing technology for mineral resource conservation. One of the main challenges is the ever-increasing demand for mineral resources, which requires extraction technologies that are not environmentally friendly and can generate waste and pollution. However, efficient processing technology, mineral recovery and recycling technology, as well as the use of renewable energy in the mining industry, digital sensors and monitoring, and geographic information technology (GIS) have shown great benefits in reducing environmental impact and increasing resource use efficiency. In addition, appropriate policies and regulations, human resource skills enhancement, community awareness and acceptance, as well as mineral resource diversification and local community empowerment are also important factors in mineral resource conservation.

Environmental Impacts of Household Solar Energy Use Adoption in Murang’a County, Kenya

Although Kenya enjoys an abundant of sunshine throughout the year, most households in counties like Murang’a still use non-renewable sources of energy for their energy needs. Globally, households account for approximately 40% of energy consumption per annum with most needs being heating, air conditioning, cooling and lighting. Environmental management is now a global goal with over 197 nations endorsing a framework that promotes positive environmental impact through renewable energy and reduced C02 emissions during COP21 in Paris. This research mainly focused on positive environmental impacts of solar energy use adoption within households in Murang’a County, Kenya. Guided by the transition theory, the research applied anticipated transitions to discuss different aspects of solar energy use adoption in the county and the impact they have on the environment. This qualitative and quantitative study sought to explore perspectives of various households on solar energy use and how the adoption has positively impacted the environment. The data used for the study was collected from 384 randomly selected households in four constituencies in Murang’a County. The findings of the study established low adoption rates of households’ solar energy use and a direct correlation of adoption levels with the awareness levels for most of the study population. Moreover, the study confirmed the hypothesis that solar energy use adoption in households positively influenced environment through management strategies and improved livelihoods. Furthermore, policy measures to support training as well as financial support would go a long way in increasing uptake of solar energy use in households in Murang’a County thus positively influencing the environment through management strategies such as renewable energy use

How Clean Can We Get? Technological Change and Renewable Energy Use in Mexico, A General Equilibrium Perspective

This study explores the impact of technological change and renewable energy adoption on Mexico's economy using a Computable General Equilibrium (CGE) model. As global concerns about climate change intensify, reducing carbon emissions has become a priority, but traditional CGE models often predict significant economic costs associated with fossil fuel restrictions. In this analysis, we modify the conventional CGE framework to incorporate increasing returns to scale and endogenously modeled technological change, reflecting the real-world diffusion of renewable energy technologies in developing countries like Mexico. By accounting for these factors, our model demonstrates that a combined policy of carbon taxation and renewable energy subsidies can achieve significant CO2 reductions without negatively impacting economic welfare. However, while the environmental benefits—such as reduced emissions of particulates, SO2, and NOx—are substantial, the overall welfare gains remain modest, and the policy's success depends on effective government implementation and potential trade impacts. These findings offer valuable insights for policymakers in Mexico and other developing nations seeking to balance economic growth with environmental sustainability through strategic carbon emission reduction policies.

Study Evaluasi Pemasangan Pembangkit Listrik Tenaga Surya Sistem Hybrid pada PT. Makmur Indah Selaras Internasional Kabupaten Muaro Jambi Provinsi Jambi

PT. Makmur Indah Selaras is an oil palm industry company operating in Muaro Jambi Regency, Jambi Province. For the industrial sector, electrical energy is needed for lighting as well as electric machines and motors. At PT. Makmur Indah Selaras Internasional this has led to an increase in the need for electrical energy. Solutions for the development of electrical energy needs at PT. Makmur Indah Selaras Internasional is by replacing the roof with solar panels with the use of new renewable energy (NRE) New renewable energy which is provided in the form of solar power plants. Roof to maximize the use of solar roofs as land in the application of solar panels. Calculating the power produced by PLTS HYBRID PT. Makmur Indah Selaras International. Calculating the number of materials and components used in PLTS HYBRID PT. prosperous Indah Selaras International. Electrical energy is produced during the day more than in the morning or evening. The average energy produced during the day is 379 -389 Volts.

A Study the optimisation of smart grid power flow

Optimal Power Flow (OPF) is a fundamental concept in the management and operation of modern electrical power systems, particularly within the context of smart grids. As the demand for electricity continues to grow and the energy landscape evolves towards greater sustainability, the need for efficient, reliable, and adaptive power systems has become more critical than ever. The primary objective of OPF is to determine the most efficient way to operate the power system while satisfying various technical and operational constraints. This involves the optimization of several variables, including generator outputs, voltage levels, and power flows, to minimize costs, reduce losses, and enhance system reliability. Smart grids can enhance their resilience to disturbances, support the efficient use of renewable energy, and provide reliable electricity to consumers.

Proposal for zero energy housing designs in Jordan

BackgroundAchieving zero-energy targets in residential buildings is challenging due to improper energy design and the selection of energy-related systems. Moreover, the absence of benchmarks for zero-energy residential buildings, along with the scarcity of studies tailored to diverse climates and building characteristics, highlights the urgent need for further research. This study aimed to address these gaps by designing zero-energy buildings to suit diverse climate zones in Jordan, acting as benchmarks to enhance energy efficiency and promote renewable energy use in the residential sector.MethodsEnergy simulation tools were employed to design and verify zero-energy systems. The energy use intensity (EUI) results from the IDA ICE tool were compared with the reported targets and OpenStudio tool outcomes, ensuring that deviations among the proposed designs within the same climate zone consistently remained within acceptable limits, averaging 2, 1, and 1 kWh/m2 year in 1B (very hot dry), 2B (hot dry), and 3B (warm dry), respectively. Additionally, an economic evaluation was conducted by comparing the cost estimates of a Jordanian code-compliant house and the most acceptable proposed zero-energy design.ResultsThe proposed designs exhibited average EUI values of 64.4, 64, and 60 kWh/m2 in diverse climate zones. Outperforming typical Jordanian houses by 56%, 55%, and 60% in 1B, 2B, and 3B, respectively, these designs surpassed national and international benchmarks by at least 35%. Notably, the proposed zero-energy designs achieved substantial cost savings of 1938 USD, equivalent to 11 USD per square meter, throughout the construction phase.ConclusionsConsidering Jordan’s ambitious energy strategy for 2030 and the significant energy consumption in the residential sector, the proposed zero-energy building designs play a crucial role in advancing the national transition towards zero-energy buildings. This study provides valuable insights by presenting precise designs, benchmarks, and a comprehensive guide tailored to Jordan’s distinctive building and climate characteristics with potential applications beyond its immediate context.

Ultra-short-term global horizontal irradiance forecasting based on a novel and hybrid GRU-TCN model

The need for energy is increasing globally due to a several factors, including population growth and economic development. Achieving this energy demand in the face of global warming and the depletion of fossil fuels requires the use of renewable energy. Photovoltaic energy is one of the renewable energy sources that is widely used in many nations across the world. Photovoltaic (PV) energy integration into the grid has significant benefits for the environment and economy, but at high penetration levels, its intermittent nature makes system stability difficult to maintain. Accurate ultra-short-term global horizontal irradiance forecasting is necessary in order to guarantee the most optimal use of photovoltaic power production sources. For GHI forecasting, a novel GRU-TCN-based model is proposed in this paper. It is composed of two neural networks: a temporal convolutional network and a gated recurrent unit. After extracting the temporal features from time-series solar irradiance data using GRU, the spatial features are obtained from the correlation matrix of different meteorological variables of the target and its neighbor position using TCN. Univariate and multivariate GRU-TCN models have been used for GHI ultra short-term forecasting. This paper compares the univariate and multivariate GRU-TCN models with TCN, LSTM, and GRU models based on three evaluation metrics in order to investigate how different combinations of variables affect the accuracy of the GRU-TCN models for one-step forecasting. The findings indicate the adoption of a univariate model using historical data of GHI is suitable to obtain reliable forecasting with 23.02 (W/m2) in MAE as opposed to the best multivariate model that achieved 25.67 (W/m2) in MAE. According to the results, the proposed model outperforms the other models assessed and offers a practical alternative for ultra-short-term GHI forecasting.

Implementation of the Green Port Concept in PT. Terminal Petikemas Surabaya

This research aims to implement the Green Port concept at PT Terminal Petikemas Surabaya. This research method uses descriptive qualitative methods including interviews, notes, field notes, pictures, and video recordings. The data collection technique used direct observation of the green port process at PT Terminal Petikemas Surabaya, interviews with operational staff, engineers, and field workers at PT Terminal Petikemas Surabaya, and documentation. The results of this study are a). The implementation of the green port concept at PT Terminal Peti Kemas Surabaya succeeded in improving environmental quality and operational efficiency, reducing carbon emissions and costs. These efforts reflect TPS commitment to sustainability, creating a competitive green port, and providing long-term benefits to the environment, economy and surrounding communities. b). Efforts to support the green port concept and improve sustainability include the use of renewable energy, energy use optimization, waste management, environmentally friendly transportation, education and training, and regular environmental monitoring. These efforts demonstrate the terminal's commitment to reducing environmental impacts and improving operational efficiency. c). The implementation of the green port concept at Surabaya Container Terminal has reduced emissions and carbon footprint, increased energy efficiency, managed waste well, and improved air and water quality. Equipment modernization and operational automation have also increased productivity and reduced waiting time. These positive impacts not only support environmental and operational sustainability, but also enhance the port's reputation and the quality of life of the surrounding community.

Use of Renewable Energy in Methanol Synthesis

Use of Renewable Energy in Methanol Synthesis

Comparative analysis of optimization approaches for combined economic emission dispatch- a comprehensive review

This comprehensive review explores a range of optimization approaches for Combined Economic Emission Dispatch (CEED), covering conventional, non-conventional, and hybrid techniques. CEED is critical in minimizing economic costs and emissions while ensuring power system reliability. Traditional methods focus on cost minimization but overlook environmental considerations. Optimization techniques address this gap by simultaneously optimizing economic and environmental objectives. Hybrid techniques, combining multiple algorithms or integrating renewable energy, further enhance CEED performance. The review evaluates these approaches’ strengths and limitations, considering factors like computational efficiency and solution accuracy. Over the past few decades, a great deal of study has been done on the use of renewable energy (RE) as an alternative source in power generation systems. As a result, the power dispatch problem currently uses the Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources. It discusses the potential of hybrid techniques and take in consideration renewable energy integration in achieving cost savings and emission reductions, highlighting areas for future research.

Unlocking Local Private Capital to Finance the Productive Use of Renewable Energy (PURE) Sector – a Look at East African Local Financial Institutions (LFIs)

This paper explores opportunities in Ethiopia, Kenya, Uganda, and Tanzania to mobilize and scale up financing for the fast-growing PURE sector, which drives energy access and economic growth. It highlights the critical role of local financial institutions (LFIs) in accelerating PURE lending to small- and medium-sized enterprises (SMEs) and end users in East Africa. Recommended interventions in this paper focus on eliminating existing barriers and galvanizing interest from investors, entrepreneurs, development partners, and local governments.

Financial inclusion and environmental pollution in sub-Saharan Africa: moderating effects of economic growth and renewable energy

A thriving literature exists about the role of financial inclusion in socio-economic development. Nevertheless, the environmental effects of financial inclusion are largely unknown in the literature, especially in sub-Saharan African countries. Therefore, this study explores the association between financial inclusion and CO2 emissions utilizing data from 23 sub-Saharan Africa for the period 2004–2019. Based on different estimation methods such as dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), canonical correlation regression (CCR), and an instrumental variable generalized-method of moment (IV-GMM), the results show that financial inclusion is responsible for a substantial increase in CO2 emissions. In addition, financial inclusion moderates economic growth, resulting in higher CO2 emissions. Alternatively, financial inclusion moderates renewable energy use to lower CO2 emissions. The outcomes also verify the presence of the Environmental Kuznets Curve hypothesis (EKC). This study proposes uniting financial inclusion and environmental policies as a strategy for reducing CO2 emissions in sub-Saharan Africa.

How effective is the carbon pricing implementation in ASEAN Member States to reduce regional emissions

Abstract At the Conference of the Parties of the UNFCCC (COP 27), the ASEAN Member States (AMS) reaffirmed their commitment to the Paris Agreement by pledging to achieve net zero or carbon neutrality targets by 2050. According to the 7th ASEAN Energy Outlook (AEO7) study, ASEAN’s GHG emission will rise 3.7-fold to 6,704 MtCO2-eq in 2050 from 1,815 Mt in 2020. This will require all AMS to scale up their efforts to reach their greenhouse gas (GHG) emission target, and one of them is by introducing carbon pricing to smoothen the transition by encouraging more renewable energy use. Currently, some AMS have already introduced or proposed carbon pricing. Singapore has introduced carbon tax implementation since 2019. Indonesia has been stepping up its commitment to enforce both carbon tax and emission trading system (ETS) by introducing numerous supporting policies. Malaysia, Thailand, and Vietnam are anticipating launching ETS as their latest climate action plan. A question on how effective carbon pricing implementation to reduce regional emission may come up and this paper shed lights to answer this question through expert interviews and literature reviews. The findings indicate that carbon pricing may reduce emissions, especially from power generation and manufacturing industry, and support the transition to a low-carbon economy, helping the region reach carbon neutrality or net zero targets by 2050.