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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  [451 journals]
  • An energy consumption calculation model of prefabricated building envelope
           system based on BIM technology

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      Authors: Jing Zhong, Peng Zhang, Li Wang
      Pages: 121 - 138
      Abstract: There are problems of poor accuracy and long time in the calculation of prefabricated building envelope system, a model for getting resources consumption of prefabricated building envelope system is designed by means of BIM technology. The building information is obtained by classification, and the information of building envelope system is integrated by BIM Technology. The BIM model of prefabricated building envelope system is constructed by using comprehensive building information. Through the finite difference calculation, the design of calculation model is completed. By designing the experiment, accuracy of this method can reach 99%, and calculation time is less than 0.4 min.
      Keywords: BIM technology; information integration; prefabricated building envelope system; BIM model; energy consumption calculation model
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 121 - 138
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121403
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Building a prediction model of solar power generation based on improved
           Grey Markov Chain

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      Authors: Chongyu Cui, Zhaoxia Li, Junjie Zhang
      Pages: 139 - 149
      Abstract: In order to improve the prediction ability and reliability management ability of solar power generation, a solar power generation prediction model based on Improved Grey Markov chain is proposed. The constrained parameter model of solar power generation prediction is established, and the disturbance characteristics of solar power generation are analysed. On this basis, the improved grey Markov chain model is applied to the big data fusion analysis of solar power generation, and the reliability prediction of solar power generation is realised. The results show that the prediction accuracy of this method is high, up to 1, which improves the quality and stability of output power, and has certain application value.
      Keywords: grey Markov chain; solar energy; electricity generation; prediction; charge volatility; power grid
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 139 - 149
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121396
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Purification and recycling of municipal wastewater based on MBR process

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      Authors: Zhongfeng Jiang, Hongbin Gao, Li Wu, Yanan Li, Bifeng Cui
      Pages: 150 - 165
      Abstract: In order to overcome the problems of low purification efficiency and recycling efficiency in traditional municipal wastewater purification and recycling methods, a new municipal wastewater purification and recycling method based on MBR process is proposed in this paper. This paper analyses the principle of MBR process, applies MBR to the design of municipal sewage purification treatment device, uses the device to filter macromolecular pollutants, and realises the municipal sewage purification treatment. Based on the purified municipal wastewater, the municipal wastewater was recycled from three aspects: pH adjustment, phosphorus precipitant selection and sediment SEM analysis. The experimental results show that, compared with the traditional method, this method has higher efficiency of municipal sewage purification and higher recovery rate of water resources, and the total cost of sewage purification and recycling is lower, and the comprehensive benefits are better.
      Keywords: MBR process; municipal wastewater; purification treatment; recycling; pH regulation; phosphorus precipitator; scanning electron microscope
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 150 - 165
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121398
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Research on an optimisation control method of large-scale buildings energy
           saving based on particle swarm optimisation

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      Authors: Zhongfeng Jiang, Hongbin Gao, Li Wu, Yanan Li, Bifeng Cui
      Pages: 166 - 181
      Abstract: Aiming at the problems of high energy consumption and low day-lighting coefficient in traditional building energy-saving control methods, an energy-saving optimisation control method for large-scale buildings based on particle swarm optimisation is proposed. Using Autodesk Revit in BIM modelling software the software constructs the large-scale building model, extracts the characteristics of large-scale building organisation information by SIFT method; uses multiple linear regression analysis method to obtain the large-scale building model wall, external window heat transfer coefficient and other parameters, completes the large-scale building operation state analysis; uses particle swarm optimisation algorithm to optimise the large-scale building energy-saving parameters, and obtains its objective function to obtain the large-scale construction Building the optimal energy consumption parameters to achieve large-scale building automation energy-saving control. The experimental results show that: after the energy-saving control of large-scale buildings, the day-lighting coefficient is higher.
      Keywords: BIM technology; large-scale building; automation; energy saving control; multiple linear regression; particle swarm optimisation algorithm
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 166 - 181
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121400
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • A short-term prediction method of building energy consumption based on
           gradient progressive regression tree

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      Authors: Zhongfeng Jiang, Hongbin Gao, Li Wu, Yanan Li, Bifeng Cui
      Pages: 182 - 197
      Abstract: In order to overcome the large error of traditional methods in predicting building energy consumption, a short-term prediction method of building energy consumption based on gradient progressive regression tree is proposed. Building benchmark model is constructed by using eQuest software to obtain the main parameters affecting building energy consumption, build the impact index system of building energy consumption, and extract the main impact factors. Genetic algorithm is used to extract the characteristics of building energy consumption, combined with gradient progressive regression tree method to build a short-term prediction model of building energy consumption, and complete the short-term prediction of building energy consumption. The experimental results show that the minimum relative error of the proposed method is about 0.1, the absolute error is about 0.2, and the maximum standard deviation is 0.41.
      Keywords: gradient regression tree; building benchmark model; influencing factors of energy consumption; genetic algorithm; building energy consumption prediction
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 182 - 197
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121404
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Evaluation of energy utilisation efficiency of central air conditioning in
           large buildings based on entropy weight-cloud model

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      Authors: Qi Wu, Aina Qi, Guanglei Zhao
      Pages: 198 - 216
      Abstract: In the evaluation of the energy use efficiency of the existing large air conditioners, the problems of low accuracy and high time cost are presented. The structure and movement mechanism of air conditioners in large buildings are analysed to obtain efficiency evaluation results. The covariance matrix was used to obtain the evaluation index of energy utilisation potency in air conditioners. Through proportion of influencing factors, the function relationship between indoor temperature change and cooling load change was determined based on the distribution of cooling load in large buildings. The entropy weight-cloud evaluation model was built to complete the evaluation and analysis of utilisation potency. Through comparative analysis, we can see that error of energy evaluation for air conditioner is less than 3%, and that need time cost is small.
      Keywords: entropy weight-cloud model; large building; central air conditioning; energy utilisation efficiency; consumption data; entropy weight method
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 198 - 216
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121402
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Collaborative design of large-scale building's energy saving structure
           based on green BIM concept

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      Authors: Li Wang, Jing Zhong, Peng Zhang
      Pages: 217 - 232
      Abstract: Aiming at the problems of low energy-saving sustainability coefficient, low energy utilisation rate and high carbon emission coefficient existing in traditional structural design methods, a collaborative design of large-scale building's energy-saving structure based on green BIM concept is proposed. Combined with green BIM concept, the design of building application platform is based on BIM. In the BIM building application platform, the building energy consumption monitoring, safety evacuation and space management functions are set in the BIM building application platform. The experimental results show that: the energy-saving sustainability coefficient of large-scale building's energy-saving structure designed by this method is above 8, the highest energy utilisation rate is 95%, and the carbon emission coefficient is lower than 0.2, which has certain feasible significance.
      Keywords: green BIM concept; large-scale building; building application platform; energy consumption monitoring; collaborative design of energy saving structure
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 217 - 232
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121401
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Velocity control method of water supply and drainage for multi-functional
           stadium based on predictive function algorithm

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      Authors: Zhe Dong, Xiongying Wang
      Pages: 233 - 246
      Abstract: In order to solve the problems of low calculation accuracy and poor control accuracy of the traditional velocity control methods for water supply and drainage in gymnasiums, a new speed control method for water supply and drainage of multi-functional gymnasiums based on predictive function algorithm is proposed in this paper. In this method, the basis function of water supply and drainage velocity control of multi-functional stadium is constructed, and the reference trajectory of water control is drawn by using predictive function algorithm. The multi-function water supply and drainage model is built to predict and optimise the water supply and drainage capacity of the stadium. The experimental results show that the proposed water supply and drainage velocity control method has a high accuracy of water supply and drainage velocity control, and can accurately calculate the water supply and drainage velocity.
      Keywords: predictive function algorithm; multifunctional stadium; water supply and drainage velocity; control method; reference trajectory
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 233 - 246
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121399
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Real-time monitoring method for working state of decentralised
           municipal sewage treatment system

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      Authors: Zhe Dong, Xiongying Wang
      Pages: 247 - 263
      Abstract: In order to overcome the problems of high monitoring cost and inaccurate monitoring results, a real-time monitoring method for working state of decentralised municipal sewage treatment system is proposed. The experimental platform is used to collect the historical operation data of the decentralised municipal sewage treatment system and obtain the state characteristic parameters of the sewage treatment system. Wavelet transform and principal component analysis are used to pre-process the data of state characteristic parameters. The principal component analysis method is used for multi information fusion, and the fusion information is input into the hidden semi-Markov model to realise the real-time monitoring of the working state of the decentralised municipal sewage treatment system. Simulation results show that the maximum average error and maximum relative error of this method are 0.115 and 0.118, the monitoring cost varies from 10,900 to 12,900 yuan, and the monitoring error and monitoring cost are low.
      Keywords: decentralised; municipal sewage; treatment system; working state; real-time monitoring; hidden semi-Markov model
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 247 - 263
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121397
      Issue No: Vol. 44, No. 2/3 (2022)
       
  • Impact of oil price fluctuations on food prices: fresh insight from
           asymmetric ARDL approach of co-integration

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      Authors: Umair Kashif, Chen Hong, Snovia Naseem, Muhammad Waqar Akram, Muhammad Saeed Meo
      Pages: 264 - 280
      Abstract: The current study analyses the asymmetric effects of oil prices on food prices in Pakistan from 1977 to 2017. ADF, PP, and KPSS root unit tests were used to substantiate data stationarity, while nonlinear autoregressive distributed lags (NARDL) were utilised for asymmetry testing. The NARDL results confirm co-integration and show a strong positive impression of oil price rise to food prices in the long-run. In the meantime, a decline in oil prices relationship with food prices is absent and inconsequential. Additionally, positive changes in oil prices have a considerable role in food prices only in the short-run. Due to the absence of the significant influence of oil prices reduction at food prices in the short-run and long-run, market strength could be essential for forming Pakistan's food value behaviour.
      Keywords: oil price; food price behaviour; exchange rates; asymmetry; NARDL
      Citation: International Journal of Global Energy Issues, Vol. 44, No. 2/3 (2022) pp. 264 - 280
      PubDate: 2022-03-10T23:20:50-05:00
      DOI: 10.1504/IJGEI.2022.121389
      Issue No: Vol. 44, No. 2/3 (2022)
       
 
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