Strategy on coal consumption and GHGs emission analysis based on the LEAP model: a case study

Abbas, Zeshan; Waqas, Muhammad

doi:10.1080/15567036.2020.1783392

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…Carbon emission prediction is primarily focused on the carbon emission field. Currently, the Low Emissions Analysis Platform (LEAP) model, gray correlation, and STIRPAT models are the three main methods used for prediction (Abbas et al 2020;Hou et al 2022;Dai et al 2018). In addition, scenario analysis has been incorporated into carbon emission prediction through the design of different scenarios to simulate the changing trends of impact factors and to calculate the carbon peak or determine the optimal carbon reduction time (Geng et al 2017;Shi et al 2019).…”

Section: Introductionmentioning

confidence: 99%

The Impact and Prediction of Industrial Structure on the Reduction of Pollution and Carbon Emissions: A Case Study of the Yellow River Basin in China

Liu

Shi

Huang

et al. 2023

Preprint

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By analyzing the mechanism by which industrial structure adjustment influences the reduction in pollution and carbon emissions (RPCE) in the Yellow River Basin, in this study, we calculated data for the RPCE in 57 prefecture-level cities from 2011 to 2020. Based on the Regression on Population, Affluence, and Technology (STIRPAT) model, we empirically examined factors affecting the RPCE in the Yellow River Basin. Additionally, different scenarios were established in order to simulate and predict the future trend of the RPCE in the Yellow River Basin. In the study, we found the following: (1) The RPCE in the Yellow River Basin shows a positive trend, with lower levels in upstream Gansu and Ningxia and particularly severe conditions in Zhongwei, Shizuishan, and Wuhai, making these key areas for RPCE. (2) Moreover, the RPCE effect of the advanced industrial structure in the Yellow River Basin is superior to that of the rationalized industrial structure, economic growth and population increases are conducive to RPCE, foreign investors in the Yellow River Basin tend to invest more in high-energy-consuming industries, and there is a “pollution haven” effect. (3) In terms of regional heterogeneity, the impact of industrial structure adjustment on the RPCE in the lower and middle reaches is greater than that in the upstream regions. (4) The acceleration of the transformation and upgrading of industry, stabilization of the population growth rate, and promotion of high-quality economic development are the optimal development paths for RPCE in the Yellow River Basin.

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Section: Introductionmentioning

confidence: 99%

The Impact and Prediction of Industrial Structure on the Reduction of Pollution and Carbon Emissions: A Case Study of the Yellow River Basin in China

Liu

Shi

Huang

et al. 2023

Preprint

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“…Due to rising fossil fuel prices, the cost of imported oil (crude oil) is affecting Pakistan's economy. The growing supply and demand gap along with rising oil prices in the international markets also generates additional pressure on Pakistan's fragile electricity grid Abbas and Waqas, 2020 (Abbas et al, 2017a). Thus, to meet the growing demand in energy sector, the Government of Pakistan allocated a budget of $ 440 million for the fiscal year 2019–2020 for the development of the energy portfolio.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, to meet the growing demand in energy sector, the Government of Pakistan allocated a budget of $ 440 million for the fiscal year 2019–2020 for the development of the energy portfolio. Similarly, about 80% of the budget will be reserved for the production of energy from biomass, biogas, and solar to meet the demand for energy (Abbas and Waqas, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the LEAP model has been widely used as a model of quantitative analysis of energy consumption, economic policies, and environmental emissions. Furthermore, it is used to predict electricity demand and affordability in recent years in the world scenario Abbas and Waqas, 2020 (Abbas et al, 2017b). Thus, the energy economics is the field that studies the human use of energy resources and energy commodities.…”

Section: Introductionmentioning

confidence: 99%

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Predicting energy consumption through the LEAP model based on LMDI technique along with economic analysis: A case study

Abbas,

Waqas,

Lun

et al. 2023

Energy Exploration & Exploitation

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This research reports the implementation of logarithmic mean Divisia index (LMDI) and categorizes the growth of total energy usage in three different industrial sectors for the years of 2010 to 2021. Furthermore, it classifies and evaluates the factors influencing on energy consumption in Punjab province thru a sustainable way. The growth consumption is classified into scale influence, structure influence, and efficiency influence. Likewise, the long-term energy alternatives planning-Punjab model is executed with the energy consumption, scale impact, structure impact, and efficiency impact. Besides, comprehensive adjustment scenarios are also introduced to examine the impact of three different factors on overall energy usage. The results from the qualitative decomposition of LMDI indicate that the high scale can lead to high-energy consumption in Punjab Province. However, it can be reduced by high-efficiency reinforcement. The total energy consumption in 2024, 2036, and 2044 under reference scenario is 304.12, 460.01, and 590.04 million tons compared to structure influence analysis for slow terminology (SIAS) and comprehensive scenario. For that reason, it can predict and provide earlier energy management planning for the province. Conversely, the structure factor does not display obvious effect on the energy use. Equally, the quantitative results of the long-term energy alternative planning (LEAP) model are relatively consistent with those of LMDI model, whose advantageous impact on the structure influence is reasonably extrapolated. This phenomenon indicates that the structure influence and efficiency influence will maintain the disruptive impact on increasing overall energy use for the future perspectives. Consequently, the LEAP model predicts the energy consumption of Punjab Province among the years of 2020 to 2040 under medium-term development framework.

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“…The estimated coal reserves of S.A are approximated to be around 53 Billion tons, and the annual marketable production is estimated to be 224 million tons (Abbas and Waqas, 2020). Around 28% of the coal production is exported, and the rest is utilized for various production industries across the country, e.g., petrochemicals (SASOL), metallurgical (MITTAL), general industry, and electric power generation (ESKOM) etc.…”

Section: Introductionmentioning

confidence: 99%

PEMFC application through coal gasification along with cost-benefit analysis: A case study for South Africa

Gilani

Amjad

Khan

et al. 2021

Energy Exploration & Exploitation

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The availability of cost-effective and environmentally friendly electricity to the entire population is a prime concern of the South African government. It has brought attention to microgrid projects, especially when rural population is considered properly. To address the energy needs of any country, the focus line should be the cost and availability of local resources. Due to the abundance of coal reserves and lack of alternative resources, coal dependence cannot be overlooked in the near future. This paper focuses not only on microgrid needs in South Africa but also on the possible use of hydrogen extracted from coal as a fuel in Proton Exchange Membrane Fuel Cell (PEMFC) in microgrids. The complete assembly of PEMFC and its use in the microgrid are discussed. To make the H2 extraction process eco-friendly and hence worth considering, Carbon capture and sequestration process is discoursed. Furthermore, cost benefit analysis and the long term benefit of the use of PEMFC in microgrids with coal-based hydrogen production are presented in this research.

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Strategy on coal consumption and GHGs emission analysis based on the LEAP model: a case study

Cited by 9 publications

References 19 publications

The Impact and Prediction of Industrial Structure on the Reduction of Pollution and Carbon Emissions: A Case Study of the Yellow River Basin in China

The Impact and Prediction of Industrial Structure on the Reduction of Pollution and Carbon Emissions: A Case Study of the Yellow River Basin in China

Predicting energy consumption through the LEAP model based on LMDI technique along with economic analysis: A case study

PEMFC application through coal gasification along with cost-benefit analysis: A case study for South Africa

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