Forthcoming and Online First Articles

International Journal of Global Energy Issues

International Journal of Global Energy Issues (IJGEI)

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International Journal of Global Energy Issues (11 papers in press)

Regular Issues

  • Optimisation of natural gas supply chain considering pipeline transportation cost reformation in China   Order a copy of this article
    by Jun Zhou, Daixin Zhang, Guangchuan Liang, Guancheng Wu, Nengjia He 
    Abstract: Natural gas plays an important role in the transition to renewable energy. The China national pipeline network company was established in 2019 and the Natural Gas Supply Chain (NGSC) is now in the transition stage. In addition, the reform of the Pipeline Transportation Cost Mode (PTCM) would have a greater impact on the natural gas market and benefit the marketers. This paper proposed an NGSC linear programming model to maximise the marketers profit under two PTCM during the supply period. The CPLEX solver is used to find out the optimal gas distribution. Then, a long-distance pipeline in China is selected to verify the accuracy of this model. The price of different gas types, the gas volume of different market users, as well as the marketer's gas distribution are studied. And finally comes the sensitivity analysis of peak shaving gas price and extra gas price and greenhouse gas emission costs. The results show that the reform of the PTCM has a great impact on the profit of the marketers and the lucrative boundary is achieved. By fully understanding the profit map, thereby guiding the management of the marketer.
    Keywords: natural gas supply chain; natural gas marketer; pipeline transportation cost; optimisation.
    DOI: 10.1504/IJGEI.2022.10049388
     
  • Hedging behaviour in China's crude oil futures market   Order a copy of this article
    by Dongwei Shi 
    Abstract: Hedging behaviour of hedgers in China's crude oil futures market has naturally become a hot topic in academia and industry. This paper examines the behaviour of hedgers in China’s crude oil futures market from the perspective of risk premium. The topic selection of this paper is helpful to reflect the real behaviour pattern of China’s crude oil futures hedging, and also provides a more reasonable trading strategy for real traders and a practical basis for exchanges to regulate the market. The results facilitate reasonable trading strategies for hedgers and practical basis for the regulator in China's crude oil futures market.
    Keywords: China’s crude oil futures market; risk premium; selective hedging; classic hedging.
    DOI: 10.1504/IJGEI.2022.10050442
     
  • Short-term carbon emission prediction method of green building based on IPAT model   Order a copy of this article
    by Peng Fang 
    Abstract: In order to solve the problems of high complexity and low prediction accuracy of green building carbon emission prediction process, this paper proposes a green building short-term carbon emission prediction method based on IPAT model. The IPCC method is used to determine the influencing factors of carbon emission of green buildings, and the classification of influencing factors is completed according to the importance of influencing factors. The IPAT model is established to decompose the carbon emission into the products of different factors, and the model is used to predict the short-term carbon emission of green building construction stage and the whole stage. The experimental results show that the prediction time of this method is always less than 4 s and the prediction accuracy is always higher than 95%, which proves that this method has fast prediction process and high accuracy, and realises the design expectation.
    Keywords: IPAT model; green building; short-term carbon emissions; emission factor; mutual information; impact factors.
    DOI: 10.1504/IJGEI.2023.10051072
     
  • Study on load estimation method of HVAC system in large public gymnasium   Order a copy of this article
    by Yuanhua Li 
    Abstract: This paper proposes a load estimation method for HVAC system of large public gymnasium. The operation data of HVAC system in large public gymnasium are collected and processed by principal component analysis. According to the data processed, this paper analyses the influencing factors of HVAC system, constructs the linear regression estimation model of system load, and optimises the objective function of load estimation by using genetic algorithm to obtain the optimal solution. Experiments show that the method has strong robustness good adaptability to the model parameters, high fitting degree between the load estimation results and the actual values, and the maximum running time is less than 12.8 s. It can complete the load estimation efficiently and has good performance in practical application.
    Keywords: HVAC system; load; linear regression model; model parameters; estimate.
    DOI: 10.1504/IJGEI.2023.10051073
     
  • The green building benefit grading evaluation based on improved FPA algorithm   Order a copy of this article
    by Xiaojuan Han, Hui Chen 
    Abstract: In order to solve the problem of low recall rate and accuracy of traditional methods, a green building benefit grading and evaluation method based on improved FPA algorithm was proposed. Firstly, the index system of green building benefit grading and evaluation is constructed, and the economic incremental benefit, social incremental benefit and environmental incremental benefit of green building are calculated according to the index system. Then, based on the incremental benefit calculation results, the green building benefit grading evaluation function is constructed. Finally, the improved FPA algorithm is used to optimise the objective function, so as to obtain the optimal solution and complete the green building benefit grading evaluation. The experimental results show that the evaluation results of economic, social and environmental benefits of the proposed method are consistent with the actual situation. The highest recall rate is 95%, and the average accuracy is 93%.
    Keywords: improved FPA algorithm; economic benefit; social benefit; environmental benefit; evaluation index system; objective function; benefit evaluation.
    DOI: 10.1504/IJGEI.2023.10051071
     
  • Energy efficiency evaluation method of refrigeration and air conditioning in intelligent buildings based on improved entropy value method   Order a copy of this article
    by Min Wang 
    Abstract: In order to improve the accuracy and precision of the evaluation of cold source energy efficiency, this paper proposes an evaluation method of cold source energy efficiency of refrigeration and air conditioning in intelligent buildings based on the improved entropy method. On the basis of analysing the energy efficiency ratio composition of refrigeration and air conditioning system, the calculation process of energy efficiency ratio is refined by using refrigeration energy efficiency transport function. Then the AHM improved entropy method was used to optimise the weight ratio process, and the efficient and accurate evaluation of the cooling source energy efficiency of refrigeration and air conditioning was completed by adjusting the weight ratio. The experimental results show that the average evaluation accuracy of the proposed method is 95.9% and the average evaluation accuracy is 96.3%, which proves that the proposed method achieves the design expectation.
    Keywords: improved entropy method; operational energy efficiency ratio; intelligent building; refrigeration and air conditioning; evaluation of energy efficiency of cold source.
    DOI: 10.1504/IJGEI.2023.10051070
     
  • Crude oil futures tail risk measurement based on extreme value theory   Order a copy of this article
    by Chunjiao Gao 
    Abstract: In this paper, we use three common tail risk measurements of Value-at-Risk (VaR), Expected Shortfall (ES) and Spectral Risk Measure (SRM) to calculate the tail risk of crude oil futures based on extreme value theory. Specifically, we propose a method to determine the optimal threshold in the extreme value theory, and further to calculate the values of VaR, ES and SRM based on Peak Over Threshold (POT) model. Empirical results show that the extreme value POT model can be used to characterise the tail risk of the price return under extreme fluctuations in Brent crude oil futures market. Moreover, the risk of VaR, ES and SRM in the Brent crude oil futures market based on extreme value theory is higher than that under the normal distribution assumption, which indicates that the traditional normal distribution assumption underestimates the tail risk. Owing the flexibility and the accuracy, we suggest that investors use ERM to measure the extreme risk of crude oil futures.
    Keywords: spectral risk measurement; hyperbolic risk spectral function; extreme value theory; tail risk.
    DOI: 10.1504/IJGEI.2022.10049545
     
  • Do oil prices predict the dynamics of equity market? Fresh evidence from DCC, ADCC and Go-GARCH models   Order a copy of this article
    by Fatma Khalifa, Abderrazak Dhaoui, Mohamed Sahbi Nakhli, Saad Bourouis, Saloua Benammou 
    Abstract: This paper investigates the dynamic condition correlations between oil price, industrial production, short-term interest rates and equity market in South Korea using three types of GARCH models. The results from the DCC and ADCC GARCH models show strong evidence of significant dynamic conditional correlations suggesting higher long-term persistence of volatility than short-term persistence. The findings suggest, particularly, that oil prices have positive dynamic conditional correlations to equity markets, while the dynamic conditional correlations between equity market and short-term interest rates are significantly negative. These results have considerable economic implications. Firstly, oil price as a risk factor increases the equity market volatility. It also represents an implicit risk factor that cannot be diversified and which requires therefore to be hedged or priced. Secondly, the oil acts as an inflationary factor leading central banks to adjust their short-term interest rates in order to smooth the inflationary effect on both real economy and financial activity.
    Keywords: oil price; equity market; industrial production; short-term interest rates; dynamic conditional correlations.
    DOI: 10.1504/IJGEI.2023.10052116
     
  • Intelligent control of heavy media separation   Order a copy of this article
    by Wenbao Lv, Chuanzhen Wang 
    Abstract: The shortcomings of the density control system for heavy media suspension in the current coal preparation plant were introduced. The intelligent control system of heavy media separation suitable for different coal quality characteristics in LinHuan Coal Preparation Plant was proposed. The system was mainly composed of the following parts: relationship between ash and mineral content, automatic identification of raw coal production source information, automatic adjustment of online ash analyser parameters, closed loop control system based on clean coal ash content. After intelligent control of heavy media separation was applied. The processed raw coal production source information and ratio could be automatically identified by the system, and the parameters of the online ash meter could be automatically adjusted. The clean coal ash content after heavy media separating was relatively stable, and the product qualification rate was improved.
    Keywords: raw coal; clean coal; separation; heavy media; ash content.
    DOI: 10.1504/IJGEI.2023.10052118
     

Special Issue on: Improving the Sustainability of Industrial Operations Through Cleaner Production and Energy Efficiency

  • Prediction method of energy consumption in industrial production based on improved grey model   Order a copy of this article
    by Huaxi Chen 
    Abstract: In order to reduce the prediction error of energy consumption, a method of energy consumption in industrial production based on improved grey model is proposed. After collecting the energy consumption data, the cluster analysis and interpolation method are used to realise the abnormal value processing and vacancy data processing of the energy consumption data. On this basis, the grey model is constructed, in which the state parameters of energy consumption are introduced, and the influence of production factor fluctuation on energy consumption is considered to realise the accurate prediction. The test results show that the relative error of the design method is less than 0.12% for the total electric energy consumption prediction results, less than 0.80% for the total steam energy consumption prediction results, and less than 0.85% for the total coal energy consumption prediction results.
    Keywords: improved grey model; energy consumption; cluster analysis; interpolation method; energy consumption status parameters; fluctuation of production factors.
    DOI: 10.1504/IJGEI.2023.10052468
     

Special Issue on: Management and Technology for Energy Efficiency Development

  • Numerical study on the effect of collector height on the performance of solar water heater collector   Order a copy of this article
    by Ammar Ali, Abinash Mahapatro, Binayak Pattanayak, Adel Abdalrahman, Fadi Ali 
    Abstract: The current research aims to perform a numerical study on the effect of the collector height on the feasibility and effectiveness of a flat plate solar water heater (SWH) integrated with baffles. Numerical simulation is carried out using Ansys Workbench (CFD fluent), where the domain of study consists of water as fluid and metal collector (aluminium) as solid. Transverse baffles channel the water flow in the collector to ensure a proper flow distribution across the collector. Two height variations (H) viz. 3 cm and 5 cm are considered for the current investigation. The results show that reducing the height of the solar water heater leads to an increase in the speed of water flow in the collector. Nevertheless, the temperature of the water is increased by reducing the collector height due to the reduction of total volume and mass of water available in the collector. Moreover, the higher outlet temperature of the water corresponds to the lower collector height. Thus, the height of the solar water heater has a significant economic effect correlated to the performance and cost of the collector. The authors thereby emphasise that the height and the associated outlet temperature are reference parameters to evaluate the feasibility and effectiveness of the solar water collector.
    Keywords: CFD; solar water heater; flat plate collector; collector height; baffles.
    DOI: 10.1504/IJGEI.2022.10050567