Rise In Carbon Emission Research Articles

Climate Change Education, Globalisation and the Nation State: A Commentary on Ghana’s Science Curriculum

AbstractIn this paper, we offer a commentary on the climate change content in Ghana’s primary and junior high school science curriculum. Since 2019, the government of Ghana has mandated climate change education at multiple levels of the school system. However, there is very little analysis of these curricula. This paper fills an important gap by critically reviewing the climate change content in the science curriculum in a country with a complex and tenuous past regarding capitalist and colonialist expansion and exploitation. We note that while the curriculum attends to technical details of greenhouse gas emissions and climate impacts, it elides the larger global context that has led to the rise in carbon emissions and anthropogenic climate change. We make the case for a climate change curriculum that integrates culture, language and histories, and tackles the complexities of globalisation.

Greening the E7 environment: how can renewable and nuclear energy moderate financial development, natural resources, and digitalization towards the target?

ABSTRACT This study examines the extent to which green energy vectoring renewable energy and nuclear energy moderates the effects of natural resource dependence and digitalization on environmental sustainability (measured by carbon emissions per capita and ecological footprint) in selected emerging seven (E7) countries. The study considers the intervening roles of financial development, economic growth, and population growth from 1996 to 2019. The verification of the empirical hypotheses anchors on advanced estimating techniques comprising cross-sectional dependence autoregressive distributed lag and augmented mean group. Results reveal that natural resource dependence and financial development hinder the attainment of environmental sustainability by inducing significant rise in carbon emissions per capita and ecological footprint. Conversely, digitalization promotes the strides toward environmental sustainability by significantly mitigating the surge in both pollutants. The direct and indirect effects of green energy are observed to sufficiently promote environmental sustainability. Moreover, while economic growth in the selected economies displays a significant level of support for sustainability targets, population growth portrays otherwise. Besides, the country-level analyses anchored on Fully Modified OLS show that natural resource dependence significantly hinders sustainability targets in Russia alone. More so, the existence of EKC finds support in Brazil and Mexico. Policy insights emanate from the findings.

Addressing the resource curse: Empirical analysis of greenhouse gas mitigation strategies for sustainable development

The phenomenon of the resource curse and its implications for sustainable development is of paramount importance for contemporary societies. The study specifically explores the impact of resource extraction by infrastructure companies during the construction process, on environmental sustainability and public health. The challenges posed by the resource curse are highlighted and also scrutinizes the interconnection between health, carbon emissions, and other macroeconomic variables in the United States, spanning 1990–2022 for sustainable development. The respective study attempts to measure health in two ways, (i) Physical Health (Life Expectancy) and (ii) Mental Health (Depression). The findings of the ADF test show that variables are stationary at a level I(0) and at the first difference I(1) as well, which indicates the use of the ARDL technique. Hence, the ARDL estimation approach to find the short and long-run relationships between variables. First, the findings for our depression model illustrate that an increase in carbon emissions and unemployment deteriorates the physical health of an individual; however, improves with the upsurge in economic growth. Second, the life expectancy model indicates that sustainable economic growth enhances the life expectancy of an individual however, posits a decline in life expectancy with the rise in carbon emissions and inflation. Further, the application of CUSUM and CUSUM of a square verifies the stability of our model. A sustainable, prosperous, and healthier future can only be achieved by successfully integrating physical activities like promoting active transportation (walking and cycling), and efficiently utilizing resources like creating blue and green spaces into greenhouse gas mitigation strategies hence creating a room that leads to overall sustainable development in an economy.

Decoupling tourism growth from carbon emissions: Evidence from Chengdu, China.

The fast growth increases in energy use and greenhouse gas emissions in China's tourism industry. This article assessed the carbon emissions of tourist Chengdu's traffic patterns and how they are expected to change between 2005 and 2021 and explains why tourism carbon decoupling is important for sustainable tourism development. In order to investigate how carbon emissions from tourism may expand without necessarily increasing in tandem with GDP and the variables that influence it, the Tapir model and the LMDI (logarithmic mean Divisia index) method were used. In our study, we looked at six important variables, including (1) the number of visitors, (2) the level of tourism spending per capita, (3) the contribution rate of the tourism sector with according to the country's total national income, (4) the amount of passenger traffic relative to GDP, and (5) the energy consumption relative to the volume of passenger traffic. There have been five stages in the correlation: positively charged decoupling, weak decoupling, negative decoupling, strong coupling, and strong decoupling. All of these describe the relationship between the expansion of China's tourist industry and the country's carbon emissions. Findings highlighted the importance of large numbers of visitors, high levels of per-person tourism spending, and low passenger traffic volume per unit of energy consumption as key positive factors. The rise of carbon emissions may also be slowed by increasing the number of passengers transported per unit of GDP. Carbon emissions from tourists in Chengdu are fluctuating, and this influences the city's economy. The findings have significant theoretical and practical implications for Chengdu's transition to a low-carbon economy and for the formulation of policies to reduce emissions. During the research period, most Chinese provinces exhibited ideal decoupling situations. This research has the potential to be used as a scientific resource for guiding the long-term growth as a result of China's tourist sector.

Challenges to environmental governance arising from the Russo–Ukrainian conflict: Evidence from carbon emissions

The destruction of ecosystems, increase in carbon emissions, and volatility of energy prices following the outbreak of the Russo–Ukrainian conflict constitute a complex situation that environmental managers must cope with. In response, this study aims to explore the impact of the Russo–Ukrainian conflict on carbon emissions in the European Union (EU) and associated heterogeneity factors. This study utilized stacked data from 2021 to 2022 on daily carbon emissions and used the differences-in-differences (DID) model as its methodological framework. This study also provides additional analyses for the United States (US), the United Kingdom (UK), and Russia. The full-blown Russo–Ukrainian conflict led to a significant increase in carbon emissions in the EU, averaging 0.092 MtCO2. Further investigations showed that the conflict led to a significant increase in energy prices and that changes in the prices of different energy sources had a heterogeneous effect on carbon emissions. Specifically, an increase in natural gas prices drove a rise in carbon emissions, whereas an increase in oil prices led to a decrease in carbon emissions in the EU. Third, the conflict also affected countries outside the EU, including the US and the UK, which experienced significant increases in carbon emissions in contrast to Russia, which underwent a decline. Finally, the study identified four sectors - international aviation, industry, power, and residential - as the primary contributors to elevated carbon emissions in the EU. This study provides a novel perspective for exploring the interplay between conflicts and carbon emissions and offers valuable insights into shaping effective environmental management policies and measures.

Empirical analysis of South African's urbanization growth and export demands: implications for environmental sustainability.

South African economy is widely known to contribute significantly to the carbon emissions due to usage of heavy machinery and equipment involved in production process. This study examines the linkage among carbon emissions, export, gross domestic product, and urban population growth in South Africa. The study employs the Autoregressive Distributed Lag model to evaluate the linkage among outlined variables, using annual data from 1981 to 2021. The findings indicate that a 1% increase in urban population leads to 1% decrease in carbon emissions. Furthermore, a 1% increase in economic activities (GDP) leads to a rise in carbon emissions. This corroborates rising exports with GDP that is rising thereby resulting in carbon emissions. The study recommends platforms that educate the populace, especially the youth on the management of carbon emissions in their daily home and business activities should be encouraged. More investment into clean technologies should be provided for energy efficiency machinery, and more research into such activities should be pursued by all relevant stakeholders.

Review on effect of graphene oxide reinforcement on properties of cement concrete

The main drawback of producing concrete by traditional methods is the rise in carbon emission. Graphene has many remarkable features such as an eco-friendly concrete material, high elasticity; Elastic modulus (E) around 425GPa, tensile strength is around 1.3TPa so designated as 21st century material. This study investigates the effect of graphene oxide (GO) reinforcement to improve compressive and split tensile strength of concrete. The structure, TEM and AFM images of GO are studied. The GO was mixed at 0.01%, 0.02%, 0.03%, 0.04%, 0.06%, 0.08% and 0.1% by weight of cement in concrete for various studies. The effect of GO to improve the compressive strength and split tensile strength for M20, M25, M40, M60,M80 concrete grades is worked out. The average maximum rise in compressive strength and split tensile strength was found to be 24.3 % and 51.9% respectively. The highest rise in compressive strength of 34.08%, 46.3% was found to be for M25 grade similar proportion concrete and M25 fly ash concrete at 0.08%, 0.03% GO. The highest rise in split tensile strength of 45.6%, 189.2% was found to be for M40 fly ash, M80 fly ash GGBS concrete at 0.03% and 0.1% GO. From the study it can be concluded that use of GO in various grades of concrete is effective to enhance both compressive and split tensile strength of concrete. GO dosages like 0.03%, 0.08% and 0.1% proved to be optimum dosages in higher strength achievement.

Evaluating the impacts of imported cultural goods on carbon emission: Cross-country evidence

Low attention has been paid to the environmental effects of imported cultural commodities, which serve as a medium for cultural engagement and information sharing around the globe. Using the generalized method of moment (GMM) approach, this article empirically assesses the effects of imported cultural products on carbon emissions using cross-country panel data from 2004 to 2017 for 121 countries. The empirical findings reveal that the environmental consequences of imported cultural commodities vary among income level country groups. Overall, a 1% increase in the imports of total cultural goods imports would decrease carbon emissions significantly by 0.002%. After dissecting the sample into two groups, we find that a 1% increase in total cultural goods imports would lead to a significant decrease in carbon emissions of higher-income countries by 0.008%, but a significant increase in the emissions of carbon dioxide of lower-income countries by 0.002%, thus showing the importance of worldwide cultural interaction to carbon emissions. In addition, we find that performance & celebration goods and audiovisual & interactive media goods are primarily responsible for the inhibiting effects of imported cultural goods on the carbon emissions of higher-income countries. Imports of the majority of cultural products (with the exception of heritage items) would result in a significant rise in carbon emissions for low-income nations, a conclusion that is consistent with that of overall cultural goods imports. Gross domestic product per capita and economic complexity index have consistently negative effects on carbon emissions across several models for both nation groups, although energy consumption is the most significant contributor to carbon emissions. In addition, using Lasso Poisson regressions, we undertake robustness tests to assess the dependability of our empirical results based on the GMM methodology. The Lasso Poisson estimation results are consistent with our earlier findings.

Assessing the Effects of Natural Resource Extraction on Carbon Emissions and Energy Consumption in Sub-Saharan Africa: A STIRPAT Model Approach

This study examines the impact of natural resource extraction, population, affluence, and trade openness on carbon dioxide (CO2) emissions and energy consumption in 17 sub-Saharan African (SSA) countries from 1971 to 2019, using the stochastic impacts on population, affluence, and technology (STIRPAT) model. The Westerlund and Kao cointegration tests were employed to determine long-run relationships among the variables. Pooled mean group autoregressive distributed lag (PMG-ARDL), panel fully modified ordinary least squares (FMOLS), and dimension group-mean panel dynamic ordinary least squares (DOLS) techniques were used to assess long-run multipliers. The findings of the study reveal that natural resource extraction, population, and income have a significant positive impact on energy consumption and CO2 emissions over an extended period in SSA countries. Findings suggest that an increase of 1% in income (affluence), natural resource extraction, and population, in the long run, will result in a rise of carbon emissions by 0.06% to 0.90% and an increase of 0.05% to 0.36% in energy consumption in the sampled SSA countries. Conversely, trade openness demonstrates a negative effect on energy consumption and CO2 emissions. This finding suggests that an increment of trade openness by 1% will lead to a reduction of 0.10% to 0.27% in the emission of carbon and a decrease of 0.05% to 0.09% in energy consumption over a long period. The study recommends that policymakers enforce stringent ecofriendly regulations, promote the adoption of green technologies and energy-saving sources, and reduce tariffs on ecofriendly commodities to enhance sustainable development in the region.

Research on the carbon emission reduction effects of green finance in the context of environment regulations

The rise in carbon emissions has significantly aggravated issues related to climate change. In light of this background, there has been a strong focus on using financial methods to reduce carbon emissions. Based on panel data for China for the period 2003–2019, we examine the effects of green finance on carbon emissions and the moderating effects of environmental regulations. The results indicate that green finance development alleviates carbon emissions. Meanwhile, our findings on the effects of green finance policies suggest that the implementation of such policies will strengthen the carbon-emission reduction effects of green finance. Additionally, the impacts of green finance on carbon emissions are moderated by administration and public-oriented environmental regulations rather than market-oriented environmental regulations. As the biggest emitter of carbon emissions in the world, China should prioritise the consistent and steady development of green finance and facilitate the green finance legislation. Furthermore, China should enhance the role of market-oriented environmental regulations while considering the synergy between environmental regulations and green finance.

The influence of energy consumption and research and development on carbon emission in China: a modified spatial Durbin model approach.

Global warming continues to be an intimidating factor for environmental protection and promoting environmental quality requires urgent attention. This research aims to explore the influence of research and development, environmental regulation, and energy consumption on carbon emissions in China using the modified spatial Durbin model. The dynamic threshold model was introduced in anticipation of a possible endogeneity bias. The findings show that carbon emissions have significant spatial correlation in both temporal and spatial dimensions, with both high- and low-value agglomeration characteristics. Furthermore, R&D intensity, environmental regulation, and energy consumption were found to contribute to a rise in carbon emissions throughout China's provinces, and demonstrated different influencing mechanisms. Increased carbon emissions in nearby regions also lead to an increase in local carbon emissions. To promote carbon reduction through breaking the dynamic equilibrium in China, the provincial investment outflow on R&D intensity could be optimized, and regional levels should focus more on tightening environmental regulatory measures and promoting the development of energy-conserving technologies.

Two-dimensional convolution-based power system reliability assessment

With the rise in carbon emissions, it has become fashionable to construct a new power system using new energy as the primary raw material for power generation. This, however, might result in a significant rise in the number of system states and frequent changes in the system state. These issues raise the bar for the effectiveness of system dependability evaluation. Traditional evaluation procedures necessitate computing Optimal Power Flow (OPF) for many systems states one by one, which is unquestionably time-consuming. For that purpose, this research proposes a reliability evaluation approach based on two-dimensional convolutional networks. Branch circuit fault messages are analyzed with generator fault messages. Multiple channel state data from power system node admittance matrices, power generation, and energy demand are fed into a two-dimensional convolutional neural network. This is used to determine the regression connection between load curtailments and system status data and to forecast load curtailments. Finally, it is applied to the RTS-79 system, and experimental results demonstrate that the technique has certain advantages in terms of computing speed and accuracy.

A multi-agent system based coordinated multi-objective optimal load scheduling strategy using marginal emission factors for building cluster demand response

Building cluster load management to harness energy flexibility and reduce both electricity cost and carbon emissions is an important but inadequately addressed issue in the context of carbon neutrality. This study develops a multi-agent system (MAS) based coordinated optimal load scheduling strategy for building cluster load management in response to dynamic electricity price and marginal emission factor (MEF) simultaneously. The strategy effectively solves the multi-objective optimization problem of conflicts, i.e., minimizing the electricity cost, carbon emissions and peak load while maintaining a good level of users’ satisfaction with electricity use quantified by a utility function. Case study on a campus building cluster is carried out to test the strategy developed. Three demand response (DR) schemes are designed for the building cluster, i.e., price-based DR, MEF-based DR, and the price and MEF hybrid-based DR which implements the optimal scheduling strategy developed. In addition, two real scenarios with opposite correlations between dynamic electricity price and MEF, i.e., positively correlated (scenario 1) and negatively correlated (scenario 2), are extracted from German electricity market. The electricity costs, carbon emissions, peak loads, and utility of the three DR schemes in the two scenarios are critically compared. The results show that the price-based DR may result in the rise of carbon emissions, and the MEF-based DR may lead to higher electricity cost, depending on the correlation between dynamic electricity price and MEF. The optimal strategy developed can achieve a compromise between the conflicting objectives in both scenarios. Under the extremely disadvantageous situation like scenario 2, where the trends of the price and MEF are completely opposite, the price-based DR results in an increase of carbon emission of 2.78%, and the MEF-based DR leads to an increase of electricity cost of 2.63%. The hybrid-based DR can reduce the peak power by 5.54% without increasing electricity cost and carbon emissions in scenario 2. This research provides an effective optimal load scheduling strategy as well as the application guideline for building cluster DR management towards decarbonization and economic benefit.

Does globalization change the renewable energy consumption and CO2 emissions nexus for OECD countries? New evidence based on the nonlinear PSTR model

Renewable energy is preferred by most countries due to its clean and sustainable characteristic especially under the background of rapid rise in carbon emissions. However, the carbon reduction effect of renewable energy has not been thoroughly investigated in the context of rapid globalization. The panel smooth transition regression (PSTR) model is utilized in this study because it allows for smooth changes of the nexus when studying the dynamic linkage of the variables. Using globalization as the transition variable, this paper employs the PSTR model to investigate the effects of renewable energy consumption (REC) on CO2 emissions in 33 OECD countries for the period between 2000 and 2018. The empirical results demonstrate the existence of a strongly nonlinear relationship between REC and CO2 emissions. Although the renewable energy is always beneficial to carbon reduction, the carbon reduction effect of renewable energy becomes stronger as globalization level increases, that is globalization changes the REC and CO2 emissions nexus for OECD countries. Also, the individual country analysis indicates that the carbon reduction effects are more significant for the countries possessing less fossil energy and more advanced technologies. Our study emphasizes the effectiveness of globalization in encouraging the development of renewable energy and improving environmental quality. Based on this study, the significance of the global cooperation in renewables market and reducing CO2 emissions should be attached for policymakers.

Capital Formation, Green Innovation, Renewable Energy Consumption and Environmental Quality: Do Environmental Regulations Matter?

The world economy continues to witness a steady rise in carbon emissions, which makes it challenging to fulfill the terms of the Paris agreement on reducing greenhouse gas emissions. In this context, countries worldwide enact environmental regulations to curtail environmental pollution to promote sustainable development. However, the importance of environmental regulations has not been fully validated in the previous literature. In addition, the concurrent roles of capital formation, green innovation, and renewability cannot be overlooked. Against this backdrop, this study selects data from G7 countries from 1994 to 2019 to explore the effect of environmental regulations, capital formation, green innovation, and renewable energy consumption on CO2 emissions. In order to achieve the above research objectives, we employ the Method of Moments Quantile Regression (MM-QR) for empirical analysis. The results reveal that capital formation significantly enhances environmental quality by reducing CO2 emissions across all quantiles (10th–90th). Environmental regulations show a significant and negative impact on CO2 emission mainly at the middle and higher emissions quantiles, while the effect is insignificant at lower quantiles (10th). Moreover, green innovation and renewable energy consumption mitigate CO2 emissions across all quantiles (10th–90th), while economic growth deteriorates environmental quality in G7 countries. The panel granger causality results indicate the unidirectional causality running from capital formation, environmental regulations, and renewable energy towards CO2 emissions, which implies that any policy related to these variables will Granger cause CO2 emissions but not the other way round. Based on the findings, important policy implications are proposed to promote sustainable development in G7 countries.

Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China.

Owing to the surge in greenhouse gas emissions, climate change is attracting increasing attention worldwide. As the world’s largest carbon emitter, the achievement of emission peak and carbon neutrality by China is seen as a milestone in the global response to the threat. By setting different “emission peak” and “carbon neutrality” paths, this study compares the different pathways taken by China towards regional emission reduction to illustrate China’s possible contribution to global emission reduction, and analyzes the role that China’s economy, population, and technology need to play in this process through the Stochastic Impacts by Regression on Population, Affluence, and Technology model. In terms of path setting, based on actual carbon emissions in various regions from 2000 to 2019 and grid data on land use from 2000 to 2020, the model simulates three emission peak paths to 2030 and two carbon neutrality paths to 2060, thus setting six possible carbon emission trends from 2000 to 2060 in different regions. It is found that the higher the unity of policy objectives at the emission peak stage, the lower the heterogeneity of the inter-regional carbon emission trends. In the carbon neutrality stage, the carbon emissions in the unconstrained symmetrical extension decline state scenario causes the greatest environmental harm. Certain regions must shoulder heavier responsibilities in the realization of carbon neutrality. The economic development level can lead to a rise in carbon emissions at the emission peak stage and inhibit it at the carbon neutrality stage. Furthermore, the dual effects of population scale and its quality level will increase carbon emissions at the emission peak stage and decrease it at the carbon neutrality stage. There will be a time lag between the output of science and technology innovation and its industrialization, while green innovation is a key factor in carbon neutrality. Based on the results, this study puts forward policy suggestions from a macro perspective to better realize China’s carbon emission goals.

Exploring the dynamic nexus between urbanization and industrialization with carbon emissions in sub-Saharan Africa: evidence from panel PMG-ARDL estimation.

Urbanization and economic growth in sub-Saharan Africa have undergone dramatic changes in recent decades with countries in sub-Saharan Africa seeking to industrialize their economies to boost economic growth. This study, with panel data from 37 sub-Saharan countries between the time period of 1995 and 2017, employs panel cointegration tests and pooled mean group ARDL (PMG-ARDL) techniques and the Dumitrescu-Hurlin causality test to empirically examine the impact of urbanization, economic growth, energy consumption, and industrialization on carbon emissions. Results from the PMG estimator confirm no significant impact of urbanization on carbon emissions in both the long run and short run. One percent surge in energy consumption was found to have significantly caused 1.03% and 0.15% rise in carbon emissions in both long run and short run respectively, thereby reducing the environmental quality. Further findings revealed a significantly negative relationship between economic growth and carbon emissions as well as industrialization and carbon emissions. Additionally, our causality test shows a unidirectional relationship running from energy consumption to carbon emissions. Policymakers are advised to develop rural areas and plan urban centers, pay attention to sustainable energy sources and waste recycling, and educate the populace to improve environmental quality.

Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation

In response to the errors caused by the uniform background value coefficients in the traditional grey model and the lack of analysis ability of panel data, this study proposes a two-stage background value calculation method and introduces a spatial weight matrix to employ the spatial correlation of variables in the grey model, creating a spatial grey model SGM(1,1,m) and realizing the modeling of spatial data by a grey model. The validity of the SGM(1,1,m) model was tested using carbon emission data from 30 provinces in China, and the carbon emissions of these provinces are predicted from 2020 to 2025. Conclusions are drawn as follows. First, the two-stage background value optimization mode and the addition of spatial overflow term in the model are reasonable, and the SGM(1,1,m) model improves the modeling performance in a certain sense compared with the GM(1,1) model while realizing regional association modeling. Second, the SGM(1,1,m) model has some formal similarities with the grey multivariate model, but while both are similar in terms of modeling requirements, the modeling purposes or economic meanings represented are different and should not be confused. Third, the SGM(1,1,m) model can achieve modeling predictions while providing a simple analysis of the spatial correlation of carbon emissions. Fourth, the prediction results present that the rise of carbon emissions in eastern China will level off, but the rise of carbon emissions in the central and western China will accelerate, which is largely because of the faster rise of carbon emissions in key provinces such as Shaanxi, Gansu, Ningxia, and Inner Mongolia.

Simultaneous Determination of the Relationship between Economic Growth, Energy Consumption, Trade and the Environment in West Africa

Energy plays important roles in human lives and economic growth. Energy use however, have its environmental impacts. Economic growth may also be
 achieved through international trade and this can also impact the environment
 by increasing energy consumption and consequently, pollution. To this end, this study examined the interrelatedness of energy consumption, environmental
 pollution, international trade and the economic growth in nine of the West
 African countries from 1990 to 2018 using the method of two stage least squares (2SLS). The study found contrary to expectation, that economic growth and international trade have no significant impact on carbon dioxide emissions in West Africa. Foreign Direct Investment (FDI) and Financial Development (FD) have no significant impact on carbon dioxide emission in West Africa. Trade openness significantly increased emission in the West African countries. Energy consumption, in conformity with economic theory has positively contributed significantly to the rise in carbon emission in West African states. Trade openness significantly increases economic growth. Other results indicate that economic growth bears no significant influence on energy consumption. This is a benefit rather than a problem as de-linking energy consumption from economic growth is a good objective of any government. Urbanization significantly increased energy consumption in West Africa. Lastly, foreign direct investment, significantly contributed positively to trade growth in West Africa. This study recommends a switch to more renewable and clean sources of energy as opposed to the fossil-based energy sources in order to de-link energy demand from emissions in their countries. Governments can also encourage the development and use of energy efficient technology or enact energy conservation policies so as to reduce fossil - fuels use among others.

Thermal performance enhancement of nanofluids based parabolic trough solar collector (NPTSC) for sustainable environment

Due to rapid industrialization and urbanization, upward rise in carbon emissions in the atmosphere, and depletion of fossil fuel and gas reserves have forced to find alternative renewable energy resources, where solar energy is one of the most promising source. Parabolic trough solar collectors (PTCs) can effectively transfer high temperature in the tube of receiver upto 400 °C. In this study, Computational Fluid Dynamics (CFD) analysis is used to analyse the effect of multiple working fluids on efficiency of the PTC. Two different types of nanofluids used for analyising the thermal efficiency of PTC through CFD simulations, are Alumina and Copper-oxide nanofluids. The concentration of Copper Oxide and Alumina was kept to 0.01% in the nanofluids. The efficiency for PTC is calculated at two different mass flow rates i.e., 0.0112 Kg/s and 0.0224 Kg/s. The highest efficiency is 13.01 and 13.1% using Al2O3 as nanofluids at 0.0112 Kg/s and 0.0224 Kg/s flow rates, while CuO has an efficiency of 13.92% and 14.79% for these flow rates. The behaviour of absorber tube material on temperature distribution for steel, copper and aluminum as absorber tube material was also investigated. Changing the material from steel to copper and aluminum increased the outlet temperature of the fluid. The maximum output temperature was achieved for copper is 311 K while steel and aluminum showed lower temperature of 307 K and 308 K of the fluid at the outlet. Furthermore, the impact of the receiver tube’s length on the working fluid’s temperature is also studied. Copper Oxide nanofluid has higher temperature at the outlet for both mass flow rates as compared to alumina nanofluid. Accordingly, a comparison was made for the CFD results with the experimental findings from literature. The nanofluids based PTCs system is promising method for the sustainable environment applications.