Showing papers in "Energy Conversion and Management in 2018"

TL;DR: In this article, the key challenges that hydrogen industry are confronting are introduced and highlighted to facilitate the use of hydrogen as an alternative energy, which is considered a promising technique that can help manage hydrogen from food waste.

TL;DR: In this article, an extensive review on recent advancements in the field of solar photovoltaic power forecasting is presented, which aims to analyze and compare various methods of solar PV power forecasting in terms of characteristics and performance.

TL;DR: In this paper, a review of previous studies, recent advances, and future directions on co-pyrolysis of biomass and waste plastics for high-grade biofuel production particularly in China and elsewhere worldwide is presented.

TL;DR: Wang et al. as discussed by the authors proposed two machine learning algorithms, i.e., Support Vector Machine (SVM) and a novel simple tree-based ensemble method named Extreme Gradient Boosting (XGBoost), for accurate prediction of daily H using limited meteorological data.

TL;DR: A novel hybrid deep-learning wind speed prediction model, which combines the empirical wavelet transformation and two kinds of recurrent neural network, is proposed, which indicates that the proposed model has satisfactory performance in the high-precision wind speed Prediction.

TL;DR: In this article, the authors reviewed the researches done on economics of biodiesel production, emphasizing on the methods of assessment and determination of total investment cost and operation cost, as well as on assessment of economically better technology, catalyst and feedstock alternatives.

TL;DR: The proposed model has the best multistep prediction performance; compared to the other involved models, the proposed model is more effective and robust in extracting the trend information.

TL;DR: In this paper, torrefaction of hemicellulose, cellulose, and lignin were studied at a series of torfaction temperatures (210, 240, 270, and 300°C) based on the properties of their three-phase products, namely solid, liquid (water and tar), and gaseous products.

TL;DR: In this paper, the authors summarized the literature from most recent articles on nanoparticles as a liquid fuel additive and discussed the effect of dispersion of several nanoparticles on the enhancement in the performance characteristics and reduction in emission of a CI engine fuelled with diesel-biodiesel blends.

TL;DR: In this paper, a review deals with the different reactor configurations, operating conditions and catalysts used in each process and compares the different alternatives in terms of H2 production, with emphasis placing on the advantages of the two-step strategy.

TL;DR: In this article, the effects of key operating parameters on the hydrogen concentration and calorific value of producer gas, energy and exergy efficiencies of the process and the exergy destruction rate at different operating conditions were evaluated.

TL;DR: The proposed EnsemLSTM is applied on two case studies data collected from a wind farm in Inner Mongolia, China, to perform ten-minute ahead utmost short term wind speed forecasting and one-hour ahead short term Wind speed forecasting, and Statistical tests of experimental results compared with other popular prediction models demonstrated the proposal can achieve a better forecasting performance.

TL;DR: Fuel economy enhancement, vehicle performance improvement, battery charge-sustaining capability, and optimal energy distribution are some of the significant outcomes achieved by the optimized FLC-based EMS.

TL;DR: In this paper, the authors summarize the recent advances in biogas dry reforming toward hydrogen production, including the preparation of catalysts, the optimization of operation conditions, and the influence of impurities in Biogas.

TL;DR: Experimental and comparison results comprehensively demonstrate that IWOA is significantly better than the original WOA and three advanced variants of WOA, and is also highly competitive with the reported results of some recently-developed parameter extraction methods.

TL;DR: In this article, the effects of various diesel/biodiesel additives including metal-based, oxygenated, antioxidant, cold flow improver, lubricity improver and cetane number improver additives as well as engine operating parameters like engine load, engine speed, EGR, and injection timing on both regulated and non-regulated emissions were discussed.

TL;DR: In this paper, a magnetically recyclable immobilized lipase was developed for biodiesel production to meet the need of green and clean production, which achieved an activity recovery of 64.9% and enzyme immobilization efficiency of 85.5%.

TL;DR: In this article, the authors present a review of technologies and systems that are being proposed or proven as alternative to fossil-fuel based transportation, and their prospects for their entry into the post-carbon era, from both technological and energetic viewpoints.

TL;DR: In this paper, the melting and solidification processes of phase change material embedded in metallic porous foam in a multi-tube heat exchanger are investigated numerically under local non-equilibrium thermal condition.

TL;DR: A novel nonlinear hybrid model aiming at improving prediction performance of wind speed called LSTMDE-HELM is presented by using Long Short Term Memory neural network, Hysteretic Extreme Learning Machine, Differential Evolution algorithm, and nonlinear combined mechanism.

TL;DR: In this article, the authors reviewed the use of nanofluids in electronics cooling considering several aspects such as liquid block type, numerical approach, nanoparticle material, energy consumption, and second law of thermodynamics.

TL;DR: In this paper, a visible experimental device was built to investigate the melting behavior of paraffin with and without copper foam, and the effect of the heating position on the thermal performance of copper foam/paraffin composite phase change material (CPCM) was also discussed.

TL;DR: The proposed WPD-CNNLSTM-CNN model is robust and effective in predicting the 1D wind speed time series, besides, among the involved eight models, the proposed model can perform best in wind speed 1-step to 3-step predictions.

TL;DR: In this article, a phase change material (PCM) and fin structure was proposed for LiFePO4 battery module to reduce the maximum temperature and improve the temperature uniformity in high-temperature environment.

TL;DR: This paper makes a deep study of the current PEMFC-HEV hybrid system model, and the EMS developed by the researchers, including faster dynamic response, longer service lifetime, economic optimization, and high efficiency for the PemFC system.

TL;DR: The proposed ISCE algorithm generally promises better convergence speed and robustness than the best reported algorithms, and is envisaged to be an accurate, efficient and reliable alternative for solving the parameter extraction problem of solar cell models.

TL;DR: In this article, the effects of coolant flow rate, ambient temperature, coolant temperature and start-up time on the thermal performance of a battery thermal management system (BTMS) are investigated.

TL;DR: In this paper, microwave irradiation-assisted transesterification was used to produce W70CI30 biodiesel from a mixture of waste cooking oil and Calophyllum inophyllus oil.

TL;DR: In this article, the authors reveal in-depth analysis and discussions on the process of microalgae-based wastewater treatment as well as micro-algae cells disruption technology for lipid extraction.

TL;DR: An improved version of the whale optimization Algorithm that uses the opposition-based learning to enhance the exploration of the search space to estimate the parameters of solar cells using three different diode models is introduced.