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 (9 papers in press)

Regular Issues

  • Design and Implementation of Battery Management System for Lithium-ion Batteries in Electric Vehicles   Order a copy of this article
    by Jishna Ramakrishnan, Aji Joy, Sithara Jeyaraj 
    Abstract: The persistent need for an eco-friendly and sanitaryrnmeans of conveyance are propelling the use of Electric Vehiclesrn(EVs), and Li-ion batteries - which are far advanced than itsrncounterparts are being widely deployed in EVs. Unfortunatelyrnit can be catastrophic suppose they are not utilized insidernthe boundaries set by their safety operation area. Therefore,rna battery Management System (BMS) is significant to protectrnthe battery from damaging, to extend battery life and alsornto ensure that the battery is ready to be used despite thernenvironmental conditions. The proposed project aims to model anrnefficient BMS to maximise their performance and efficiency withrnbattery stack monitor LTC6811 for monitoring battery pack, andrnSTM32F303 Cortex M4 microcontroller. The proposed systemrnperforms measurement of cell voltage, current, temperature, staternof charge, state of health, remaining useful life determination,rnmonitoring and controlling the charge/discharge characteristicsrnand cell balancing.
    Keywords: BMS; battery management systems; electric vehicles; lithium-ion batteries; SOC; state of charge; energy technology.

  • Italian short term load forecasting: different aggregation strategies   Order a copy of this article
    by Elisa Raspanti, Andrea Marziali 
    Abstract: This paper deals with one-day-\r\nahead forecasting of Italian electricity demand. The problem is\r\naddressed through machine learning techniques, nine base models (Ridge\r\nRegression, LASSO, Elastic Net, Support Vector Machine, Gaussian Process,\r\nk-Nearest Neighbour, Random Forest, Artificial Neural Network and\r\nTorus Model) and five aggregation models based on base model predictions\r\nwhose errors are automatically corrected by a SARIMA model. In\r\naddition to the aggregation strategy given by the five ensemble models, we\r\nanalyse also the time and spatial-time aggregations. After\r\nthe aggregation at an Italian daily level for the hourly and zonal-hourly\r\nforecasts, the comparison between these results and the initial daily base\r\nresults are analysed, in order to evaluate the three different aggregation\r\nstrategies. Dimension reduction by the PCA is also pursued in order to\r\nreduce the computation times and investigate the possible risk of overfitting.\r\n
    Keywords: electricity demand; time series forecasting; statistical learning; neural\r\nnetworks; SARIMA; PCA.

  • Thermal analysis of LiFePo4 batteries during rapid charge with evaporative cooling system   Order a copy of this article
    by Md. Sazib Mollik, Mohd Mahbubur Rashid, MOHAMMED ATAUR RAHMAN 
    Abstract: The development of rapid charging mechanism for LiFePo_4 battery is one of the key concerns for electric vehicles. The main drawbacks of LiFePo_4 battery charging are overcharge, overcurrent, and high temperature which affects longevity, efficiency, and battery life cycle. Battery internal temperature increases because of ambient temperature and charging current (C-rate). C-rate is very crucial for battery charging system as the battery cell temperature highly depends on C-rate. In this paper, the effect of the internal temperature of the battery has been investigated during the rapid charging process. Firstly, the CC-CV charging method is applied for rapid charging to analyze the internal temperature. Then, this study develops a battery charging method with a thermal management system to enhance the battery charging performances by maintaining the lowest level of raised temperature. For the cooling system, Tetrafluoroethane (R-134a) is applied which is very rarely found in previous literatures. Experimental results have shown that the Refrigerant-134a based cooling system is capable to maintain battery temperature within the range of 20
    Keywords: LiFePo_4 battery; rapid charging; CC-CV; SOC; temperature effect; thermal management system ?LiFePo?_4 battery; rapid charging; CC-CV; SOC; temperature effect; thermal management system.

  • Do Energy Consumption, Economic Growth, and Financial Progress Coax to Carbon dioxide (CO2) Emission? A Fresh Evidence from Bangladesh   Order a copy of this article
    by Uttam Golder 
    Abstract: The rapid industrialization of developing countries in the world is causing environmental pollution in many areas. As a part of the international obligation, this study explores whether growing energy use, economic growth, and financial progress influence Bangladesh's environmental degradation. This experiment focuses on the Autoregressive Distributed Lag (ARDL) approach with the existence of structural break, which was identified in 1990 for CO2 and used annual data covering 1974 -2014 in Bangladesh. The empirical outcomes approve that, in long run, with the existence of structural break, the burning of energy, economic expansion, and financial progress intensifies the degradation of the atmosphere by emitting carbon dioxide (CO2) into the environment. This study recommends that policymakers should seek new financial innovations for the country's green economic development to be sustainable. Moreover, the adoption of nonrenewable energy is recommended to decrease, and at the same time, it is suggested to adopt renewable energy efficiently to achieve real economic advancement in Bangladesh.
    Keywords: CO2 emission; Energy consumption; Economic growth; Financial progress.

  • Electric vehicles purchase perceptions. Effect on environmental awareness   Order a copy of this article
    by Noelia Araújo-Vila, Lucília Cardoso, Jose Antonio Fraiz-Brea 
    Abstract: Environmental pollution is a major problem in today's society and one of the sectors that contributes highly to pollution is the transport sector. The transport sector contributes significantly to the development of society and the economy. However, it can also negatively affect human health and the natural environment. Currently, vehicles that consume fossil energy remain majority, and it is necessary to know what the actual purchase expectations are. That is why this work analyses the intention to purchase electric vehicles by private individuals, as well as the factors that positively and negatively influence this decision. For this purpose, primary data was collected via a survey conducted in Spain (n=463). The main results obtained show that there are still more negative aspects than positive ones when deciding to purchase an electric car. The main barriers to purchase include the high price, the low range, the scarcity of charging stations or the absence of specialised workshops
    Keywords: electric vehicles; purchase perceptions; environmental awareness; green energies.

Special Issue on: ICCSEMS-2020 Artificial Intelligence, Signal Processing and Mechatronics for Smart Energy Systems

  • Predictive Direct Torque Control of a Rotor-Side Matrix Converter Driven Grid Connected DFIG with Torque and Flux Ripples Minimization Criterion   Order a copy of this article
    by Midhun S. S., Samina T. 
    Abstract: Doubly fed induction generator (DFIG) is the most commonly used machine for variable speed wind power generation, and single stage matrix converter (MC) can potentially replace the conventional back-to-back voltage source converters (VSC) for rotor to grid inter connection. In this research work, the performance of grid connected DFIG with rotor side MC is analysed with predictive-direct torque control (P-DTC) technique incorporating a criterion for minimizing the torque and rotor flux ripples at a fixed switching frequency. Space vector modulation (SVM) is utilized for MC side control. The system exhibits better transient and steady-state behaviour over conventional configurations, for both sub and super-synchronous operating modes, as evaluated by simulation based on a 2MW DFIG model in MATLAB-Simulink environment.
    Keywords: Doubly Fed Induction Generator (DFIG); Matrix Converter (MC); Predictive Direct Torque Control (P-DTC); Space Vector Modulation (SVM); Ripple reduction criterion.

  • A Decentralized Power Management strategy in Hybrid Energy Storage Supported Islanded Residential Sustainable DC Microgrid System   Order a copy of this article
    by Jaynendra Kumar, Anshul Agarwal, Nitin Singh 
    Abstract: Renewable energy transitions are essential for climate change mitigation and energy security. Microgrids are significant structures to integrate distributed renewable energy sources. DC microgrid has natural compatibility with the DC power generating sources like solar PV, storages like battery and supercapacitor, and modern DC loads like laptop batteries, cell phone batteries, and DC powered LED lights, etc. Power management has been a great concern for the developers and academic researchers in an islanded microgrid system to maximize the utilization of the intermittent renewable sources, provide quality and reliable power, and stabilize the DC microgrid system. A DC microgrid can be developed in household or community sizes. In this paper, A DC microgrid system has been proposed for residential purposes. The proposed DC microgrids components details and power management scheme has been discussed. The hybrid energy storage (Battery and supercapacitor) has been considered storage for the proposed DC microgrid. The incremental conductance (INC) algorithm has been implemented for the MPPT of the PV system as it is considered one of the most developed and accurate MPPT algorithm. A MATLAB/Simulink demonstration for the proposed system has been carried out. The simulations have been performed for various cases to analyzed and validate the effectiveness of the proposed DC microgrid system.
    Keywords: Distributed generation; DG; Islanded DC microgrid; Residential microgrid; Solar PV; Hybrid energy storage system; HESS; Interfacing DC to DC converters.

  • Internet of Things Based Smart Grid: An Overview   Order a copy of this article
    by Karan Singh Joshal, Neeraj Gupta, Anuradha Tomar 
    Abstract: Smart grid (SG) is a huge step forward for revolutionising the traditional grids. The features of the SG help in solving the complications related with the outdated grids. SG has the potential to efficiently integrate renewable energy, provide two-way communication, and store electrical power. But still, SG is considered to be in its nascent stage for getting the maximum benefits from SG. The problem lies within the automation, communication and management of SG. The key for solving this problem is Internet of Things (IoT) which itself is a revolution in digital communication after computers and internet. The main focus of this paper is to confer about the IoT and SG systems. It has also shown the power and information flow within the SG systems. Its main aim is to understand the various benefits, features and application areas of IoT based SG systems.
    Keywords: Internet of Things (IoT); Smart Grid (SG); Home area network (HAN); Neighbourhood area network (NAN); Wide area network (WAN); communication technologies.

  • Quadratic Boost Converter for Wind Energy Conversion System using Back Propagation Neural Network Maximum Power Point Tracking   Order a copy of this article
    by Ramji Tiwari, P. Pandiyan, S. Saravanan, T. Chinnadurai, N. Prabaharan, K. Kumar 
    Abstract: The article presents a DC-to-DC high step-up quadratic boost converter with maximum power point tracking (MPPT) technique using an artificial neural network (ANN) for wind energy transfer systems. In order to get the most possible electrical energy from the wind speed, the proposed topology employs a Back Propagation Network (BPN) based neural network control technique. A quadratic boost converter (QBC) is employed in this system to attain a higher voltage rating, and its performance is tested with a boost converter to determine its efficiency. The proposed system is developed in MATLAB/Simulink platform to demonstrate the operating principle under continuous conduction mode. The results obtained from this proposed system are more favorable as compared with classical Perturb and Observe (P & O). Keywords- Wind energy conversion system (WECS); Quadratic Boost converter (QBC), ANN, MPPT, Permanent Magnet Synchronous Generator (PMSG).
    Keywords: Wind energy conversion system; rnPMSG; rnQuadratic Boost converter; rnArtificial Neural Network; rnMPPT.
    DOI: 10.1504/IJETP.2021.10042225