Forthcoming and Online First Articles

International Journal of Energy Technology and Policy

International Journal of Energy Technology and Policy (IJETP)

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International Journal of Energy Technology and Policy (13 papers in press)

Regular Issues

  • Experimental Investigations of dual fueled two-cylinder diesel engine with Biodiesel and Natural Gas using a novel air-gas mixer   Order a copy of this article
    by Brijesh Dager, Ajay Kumar, Ranbir Singh 
    Abstract: Non-conventional energy resources (renewable fuels) have plentiful advantages over fossil fuels as they are biodegradable, renewable, help in energy security, and reduce environmental emissions. In this study, sustainable energy fuels like natural gas (NG) and bio - diesel were used. Natural gas is a very attractive and promising energy source to be used as fuel for IC engines because of its wide availability, inexpensive, clean-burning and extensive distribution infrastructure. The addition of biodiesel, particularly mustard oil methyl ester, can make it a more environmentally friendly and cost-effective choice for energy conversion by using internal combustion engines. This investigation is carried out to investigate the emission, combustion and performance behavior of a two-cylinder four-stroke CI engine in twin fuel mode. A homogeneous mixture of natural gas and air using a newly designed coaxial multi holes air gas mixer has been naturally inducted during intake stroke of the engine as the main fuel whereas diesel/MOME biodiesel is used as pilot fuel to initiate the combustion. This paper presenting a comparative study of performance, combustion and emission characteristics in diesel fuel mode alone (DLF), dual fuel mode using diesel as pilot fuel (DCNG) and dual fuel mode using bio-diesel as a pilot fuel (BCNG) mode of operation. The current experimental results show that brake thermal efficiency is 1.26% lower, brake specific energy consumption is 1.17% higher than diesel, and 0.97% higher than DCNG mode. Nitrogen oxides are reduced by 4.12% when using DCNG and by 63.07% when using DLF. The level of smoke opacity emission in BCNG is 76% lower than in DLF, but 6.67% higher than in DCNG modes of operation of the engine at full load. In comparison to other modes of operation, BCNG has a higher valve of exhaust gas temperature, CO, and UBHC emission levels. However, the cylinder peak pressure and ignition delay values are intermediate between the DLF and DCNG modes.
    Keywords: Natural gas; Combustion; Emission; Renewable fuel; Mustard Oil Methyl Ester; Air fuel mixture.
    DOI: 10.1504/IJETP.2022.10051097
  • Development and validation of a thermal model for line focus solar concentrators in water heating applications   Order a copy of this article
    by Gunjan Kumar, Hemant Gupta 
    Abstract: Solar concentrators are used to collect solar energy and convert it to heat. Line focus solar collectors operate on the principle of line focus technology where sun radiations are directed to form a line over the receiver. In this paper, thermal model of line focus collectors is developed for the application of water heating. Thermal performance parameters like useful heat flux, heat loss, water exit temperature and thermal efficiency are analysed for different solar radiations and mass flow rates. The model is validated using experimental data from a cooling plant in Seville, Spain. The results of the simulation show good agreement with the experimental data. This thermal model has been used to assess the thermal performance of the collector for the climatic conditions of Ankleshwar, Gujarat, India. The average useful heat flux, the temperature difference of water, and thermal efficiency are reported as 0.656 kW/m2, 17.64 degrees centigrade, and 76.10% respectively.
    Keywords: line focus; solar collector; solar energy; thermal model; water heating.
    DOI: 10.1504/IJETP.2022.10050760
    by Rajesh Gangakhedkar, Prashant Raman 
    Abstract: The research aims at finding out the factors that drive and the factors that inhibit the adoption of LED lighting by households in India. A theoretical model of drivers and inhibitors is developed for the empirical study, based on theory of planned behaviour. Apart from the three basic constructs of theory of planned behaviour, some more variables are included in the model. A structured questionnaire was administered to the households in six largest metro cities of India. The sample size of the study is 555. For data analysis, partial least square-structural equation modelling (PLS-SEM) technique is applied. The study also makes importance-performance matrix analysis to further strengthen the findings. Aesthetics, attitude, perceived behavioural control, and subjective norms proved to be the most influencing factors of purchase intention of LED, in that order and showed a positive association with purchase intention of LED. Only personal moral norms showed an insignificant impact. Inertia turned out to be the inhibitor of purchase intention with a negative relationship, as per our assumption. The study also revealed that, perceived cost which was assumed to be an inhibitor is not an inhibitor.
    Keywords: structural equation modelling; SEM; attitude; aesthetics; inertia; LED; lighting; India.
    DOI: 10.1504/IJETP.2022.10051941
  • Indonesian Natural Gas Policy Reform   Order a copy of this article
    by Aldi Hutagalung, Maarten Arentsen, Jon Lovett 
    Abstract: This paper investigates the challenge to improve Indonesias domestic gas market and the remedy to alleviate the problems. Gifted with abundant natural resources, primary oil, and natural gas, Indonesia became a leading world LNG producer. However, since 2001 there has been a shifting paradigm in gas policy from export- oriented to domestic market development. The implication is that Indonesia needs to find the balance between producer and consumer interests and at the same time has to deal with the geographical challenge of the countrys archipelago. The new paradigm also requires that natural resources should promote economic growth instead of state revenue, therefore Indonesia must reform its gas policy to fulfill the multi objective of gas utilization. This paper suggests ways to overcome these dilemmas.
    Keywords: Indonesian gas market reform; Indonesian gas market regulation; Institutional barriers Indonesian gas market rn rn.

  • Method for Predicting Comprehensive Energy Demand in Industrial Parks Based on Echo State Networks   Order a copy of this article
    by Xiaojun Zhu, Yan Li, Decheng Wang, Qun Zhang, Yinzhe Xie, Na Li, Zhu Chen 
    Abstract: To achieve accurate prediction of energy demand, this study designed a new method for predicting comprehensive energy demand in industrial parks using echo state networks. Firstly, analyse the comprehensive energy structure of the park, collect and supplement historical comprehensive energy load consumption data. Secondly, select the factors that affect the load demand forecast, and calculate the comprehensive similarity of similar days of historical energy demand according to the mutual information between the influencing factors. Finally, input the calculation results into the optimised echo state network of the crossbar algorithm, and output the predicted comprehensive energy demand of the park. Experiment shows that after applying this method, the predicted values fluctuate between 1.410%-2.384%, RMSE values fluctuate between 176.4 MW-205.3 MW, indicating that the error of the predicted results using this method is relatively small.
    Keywords: comprehensive energy system of the park; energy demand; cold/hot/electrical loads; crossover algorithm; echo state network; demand forecast.
    DOI: 10.1504/IJETP.2024.10061515
  • The dynamic impact of regional construction industry economy, energy and carbon emissions based on HMM   Order a copy of this article
    by Guangquan Zhou, Zhiyu Fu, Yong Liu, Zhengya He, Mengya Cai, Liang Luo 
    Abstract: Aiming at the uncertainty of the internal correlation between economic growth, energy consumption and carbon emissions in regional construction industry, a dynamic impact research method based on hidden Markov model (HMM) was proposed. Firstly, the dynamic correlation of three variables in the region was established based on HMM, the optimisation parameter estimation of time window was set, and the optimal prediction of carbon emission state was achieved with Viterbi algorithm. Then, the dynamic parameters of the model with the best prediction effect were obtained, and further describes the evolution of the interaction of the three variables in the region. Finally, the empirical analysis of East China region shows that the average prediction accuracy of HMM under the optimal time window is more than 93%, and its dynamic parameters intuitively describe the change of regional carbon emission development state and the dynamic relationship between carbon emission, economic growth and energy consumption.
    Keywords: building carbon emissions; improved HMM; state prediction; dynamic impact.
    DOI: 10.1504/IJETP.2024.10062210
  • Evaluation Method for Energy Conservation and Emission Reduction Potential of Photovoltaic New Energy Based on Entropy Weighted Matter Element   Order a copy of this article
    by Wei He, Rujie Liu, Jicheng ZHANG, Lixin Wu 
    Abstract: In order to shorten the evaluation time of energy-saving and emission reduction potential and reduce evaluation errors, a method based on entropy weighted matter element for evaluating the energy-saving and emission reduction potential of photovoltaic new energy is proposed. Establish an evaluation index system for the potential of energy conservation and emission reduction in photovoltaic new energy. By calculating the information gain rate of each indicator, measuring the importance of each indicator, and achieving quantitative processing of the indicator system, accurate evaluation results can be obtained. Construct a matter element model for evaluating the potential for energy conservation and emission reduction of photovoltaic new energy, and calculate the entropy weight of the evaluation indicators to complete the evaluation of energy conservation and emission reduction potential. The experimental results show that the proposed method can reduce evaluation errors and time overhead, with a maximum evaluation error of only 1.5%.
    Keywords: entropy weight matter element; photovoltaic new energy; energy conservation and emission reduction; potential assessment.
    DOI: 10.1504/IJETP.2024.10061516
  • Fuzzy PID based temperature control method for power transformer coils   Order a copy of this article
    by Huige Chen 
    Abstract: To improve the response speed and control stability of power transformer coil temperature control, a fuzzy PID-based power transformer coil temperature control method is studied. Based on the physical model of power transformers, a mathematical model for temperature control of power transformer coils is constructed. For the constructed mathematical model, the fuzzy PID control algorithm is used to control the temperature of the power transformer coil. The PID control part uses proportional, integral, and differential operations to control the coil temperature. The fuzzy control algorithm is used to set fuzzy rules for the PID control parameters, and the power transformer coil temperature control results are output through the fuzzy inference process. The results show that using this method, the coil temperature can be controlled at the target temperature within 0.1 seconds, with fast response speed and high control stability.
    Keywords: fuzzy PID; power transformer; coil temperature; control methods.
    DOI: 10.1504/IJETP.2024.10061517
  • Low voltage current transformer defect detection method based on Hausdorff distance algorithm under Charged state   Order a copy of this article
    by Kai Sun, Xiaohui Zhai, Yanling Sun, Yan Du, Yuning Fa 
    Abstract: In order to accurately detect the defects of low-voltage current transformers, a defect detection method of low-voltage current transformers based on Hausdorff distance algorithm under charged state is proposed. In the charged state, calculate the noise variance of the defect image of low-voltage current transformer, adjust the grey variance in the bilateral filter function, and obtain the defect image of low-voltage current transformer after noise removal. The Canny edge results are calculated to obtain the distance transform map. The mask convolution processing is performed on the distance transform map to cluster the results, and then the defect characteristics of different types of low-voltage current transformers are obtained. At the same time, the Hausdorff distance algorithm and elastic graph matching are effectively combined to realise defect detection of low-voltage current transformers. The experimental results show that the proposed method can quickly and accurately detect the defects of low-voltage current transformers.
    Keywords: charged state; Hausdorff distance algorithm; low voltage current transformer; defect detection.
    DOI: 10.1504/IJETP.2024.10061518
  • Load coordination control method of new energy vehicle Charging pile based on Markov chain   Order a copy of this article
    by Shun Liu, Yajuan Zhou, Yue Lu, Yang Liu, Qingtao Li 
    Abstract: In order to reduce the load peak valley difference of charging station and improve the stability of load operation, a load coordination control method of new energy vehicle charging station based on Markov chain was proposed. The Markov chain theory is applied to determine the state transition form of the new energy vehicle charging load, and calculate the required charging time. The least square method and inverse linear regression equation are used to predict the output load of new energy vehicle charging station. The load objective function and constraint conditions of the charging station are constructed, and the load coordination control objective is determined to achieve accurate control of the charging load. The experimental results show that after using this method, while meeting the charging demand, the peak to valley load difference can only reach 1.70 kW. This shows that the method can ensure the operation stability of charging station.
    Keywords: Markov chain; new energy vehicles; energy crisis; load control; power grid operation; least square method.
    DOI: 10.1504/IJETP.2024.10061519
  • Evaluation Method of Enterprise Carbon Asset Value Based on Analytic Hierarchy Process and Grey Correlation Method in the Context of Carbon Neutrality   Order a copy of this article
    by Jiawen Liu, Xiaodong Lan, Chungeng He 
    Abstract: In the context of carbon neutrality, there is a problem of low sensitivity coefficient of carbon asset value in the evaluation of corporate carbon asset value. To this end, a method for evaluating the value of carbon assets in enterprises using the analytic hierarchy process and grey correlation method in the context of carbon neutrality is proposed. Firstly, complete the construction of an indicator system based on the different forms of corporate carbon assets. Then, through regression calculation of value evaluation indicators, the selection of value evaluation indicators is achieved. Finally, through the analytic hierarchy process – grey correlation method, a carbon asset value evaluation model for enterprises is constructed to achieve value evaluation research. The experimental results indicate that the sensitivity coefficient of using the proposed method to evaluate the value of carbon assets is high, and the evaluation effect is good.
    Keywords: carbon neutrality background; analytic hierarchy process; AHP; grey correlation method; regression calculation; information gain; indicator weight; factor set.
    DOI: 10.1504/IJETP.2024.10062112
  • Partial Discharge Detection Method for Power Equipment Based on UHF Method   Order a copy of this article
    by Shengchun Liu, Jie Zhang 
    Abstract: In order to avoid the impact of noise on the performance of partial discharge detection and improve the accuracy of detection results, a partial discharge detection method for power equipment based on ultra-high frequency method is proposed. Firstly, use a conical antenna sensor to collect ultra-high frequency signals during partial discharge of power equipment. Then, wavelet entropy is used to denoise the collected ultra-high frequency partial discharge signal, removing the noise components contained in the signal and retaining the effective information components of the signal. Extract features such as signal skewness, steepness, discharge level, phase, and cross correlation, and use chicken swarm algorithm to detect partial discharge of power equipment based on the extracted features. The experimental results show that the detection result of this method is the most accurate, and the number of false samples for partial discharge signal type is 0, indicating that its detection effect is good.
    Keywords: UHF; Power equipment; Partial discharge; Antenna sensor; Wavelet entropy; Feature extraction.
    DOI: 10.1504/IJETP.2024.10062119
  • Research on Carbon Emission Accounting of SF6 Electrical Equipment Based on Improved Random Forest Algorithm   Order a copy of this article
    by Wenwei ZHU, Baichong Pan, Weixian CHE, Chenghao XU 
    Abstract: Due to the large convergence error and high interference coefficient of carbon emissions accounting, research on carbon emission accounting of SF6 electrical equipment based on improved random forest algorithm is proposed. Firstly, determine the arc extinguishing characteristics and insulation performance of SF6 electrical equipment. Then, analyze the differences in the decomposition of substances in SF6 electrical equipment under various conditions, and use differential optical absorption spectroscopy to determine the carbon emission equivalent of the equipment. Finally, the OOB error estimation algorithm is introduced to build an improved random forest algorithm model, and the nonlinear activation function is used to determine the synapse strength, and the information function is used to adjust the convergence value of accounting error to complete the carbon emissions accounting. The results indicate that the proposed method can reduce the convergence value of accounting errors and the interference coefficient of accounting results.
    Keywords: SF6 electrical equipment; Carbon emissions; Accounting; Arc extinguishing characteristics; OOB error estimation; Nonlinear activation function.
    DOI: 10.1504/IJETP.2024.10062120