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  Subjects -> CONSERVATION (Total: 128 journals)
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International Journal of Global Energy Issues
Journal Prestige (SJR): 0.199
Number of Followers: 8  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0954-7118 - ISSN (Online) 1741-5128
Published by Inderscience Publishers Homepage  [439 journals]
  • Short-term carbon emission prediction method of green building based
           on IPAT model

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      Authors: Peng Fang
      Pages: 1 - 13
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 1 - 13
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127664
      Issue No: Vol. 45, No. 1 (2022)
       
  • Study on load estimation method of HVAC system in large public gymnasium

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      Authors: Yuanhua Li
      Pages: 14 - 25
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 14 - 25
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127665
      Issue No: Vol. 45, No. 1 (2022)
       
  • The green building benefit grading evaluation based on improved FPA
           algorithm

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      Authors: Xiaojuan Han, Hui Chen
      Pages: 26 - 41
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 26 - 41
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127663
      Issue No: Vol. 45, No. 1 (2022)
       
  • Energy efficiency evaluation method of refrigeration and air conditioning
           in intelligent buildings based on improved entropy value method

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      Authors: Xiaojuan Han, Hui Chen
      Pages: 42 - 52
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 42 - 52
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127662
      Issue No: Vol. 45, No. 1 (2022)
       
  • Crude oil futures tail risk measurement based on extreme value theory

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      Authors: Xiaojuan Han, Hui Chen
      Pages: 53 - 65
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 53 - 65
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127631
      Issue No: Vol. 45, No. 1 (2022)
       
  • Do oil prices predict the dynamics of equity market? Fresh evidence from
           DCC, ADCC and Go-GARCH models

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      Authors: Fatma Khalifa, Abderrazak Dhaoui, Mohamed Sahbi Nakhli, Saad Bourouis, Saloua Benammou
      Pages: 66 - 85
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 66 - 85
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127640
      Issue No: Vol. 45, No. 1 (2022)
       
  • Intelligent control of heavy media separation

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      Authors: Wenbao Lv, Chuanzhen Wang
      Pages: 86 - 100
      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
      Citation: International Journal of Global Energy Issues, Vol. 45, No. 1 (2023) pp. 86 - 100
      PubDate: 2022-12-13T23:20:50-05:00
      DOI: 10.1504/IJGEI.2023.127645
      Issue No: Vol. 45, No. 1 (2022)
       
 
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