Showing papers in "Energy Conversion and Management in 2020"

TL;DR: Simulation results show that the proposed forecasting method with time correlation modification (TCM) is more accurate than the individual LSTM-RNN model, and the performance of the forecasting model can be further improved for those days with accurate daily pattern predictions under the proposed PDPP framework.

TL;DR: This paper analyzes and summarizes the optimization effect of genetic algorithm in various energy management strategies, aiming to analyze and select the optimization rules and parameters, optimization objects and optimization objectives.

TL;DR: In this article, a comparative evaluation of the selected thermochemical cycles is extensively performed based on the cycle's energy and exergy efficiencies, hydrogen production cost and global warming potential (GWP), a comparative study shows that vanadium-chlorine offers the highest exergy efficiency of 77% while in terms of GWP, Sulfur-Iodine and hybrid sulfur cycles become the most promising with GWP of 0.48 and 0.50

TL;DR: In this paper, the authors present an update on recent developments and generate a relevant database for costs and emissions for decision-making purposes for integrating an energy storage system with the power network to manage unpredictable loads.

TL;DR: The chemical constituents of macroalgae and microalgae show great variations, especially their lipid, carbohydrate and protein contents, which could affect the qualities of the pyrolytic products.

TL;DR: In this paper, a run-of-river hydropower plant located in a river of the Tagus basin characterised by a pluvial winter flow regime was investigated.

TL;DR: In this article, the analysis of the thermochemical conversion of biomass with the use of thermogravimetric analyzer and Fourier transform infrared spectroscopic (FTIR) analyzer is discussed.

TL;DR: In this paper, a review of the literature on exergetic analysis of the lignocellulose pretreatment process has been presented, focusing on the thermodynamic, economic, and environmental features of the resulting biofuels.

TL;DR: This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification and presents some perspectives and recommendations for future development.

TL;DR: A new hybrid algorithm based on grey wolf optimizer and cuckoo search (GWOCS) is developed to extract the parameters of different PV cell models with the experimental data under different operating conditions and comprehensively experimental results show the GWOCS is a promising candidate approach.

TL;DR: In this article, the effects of nanoparticles on the most important thermophysical properties of phase change materials (PCMs) are discussed and the applications of nano-PCMs in the fields such as thermal energy storage (TES), thermal control unit (TCU), photovoltaic thermal thermal (PVT), solar still (SS), and building are examined.

TL;DR: In this article, a multi-generation system based on geothermal energy and parabolic trough solar collectors is proposed for the simultaneous generation of power, cooling, freshwater, hydrogen, and heat.

TL;DR: In this paper, a coupled composite phase change material and liquid cooling thermal management system is proposed to improve the working performance of the lithium-ion battery pack in continuous operation under different ambient temperatures.

TL;DR: In this article, the authors discuss the recent advances of mechanical energy storage systems coupled with wind and solar energies in terms of their utilization and compare the performance, capacity, response and utilizations.

TL;DR: A data-driven two-stage multi-criteria decision-making (MCDM) framework to investigate the optimal configuration of a stand-alone wind/PV/hydrogen system and selects the unique best solution from Pareto solutions is proposed.

TL;DR: A taxonomy research of the existing solar power forecasting models based on AI algorithms is provided to help scientists and engineers to theoretically analyze the characteristics of various solar prediction models, thereby helping them to select the most suitable model in any application scenario.

TL;DR: In this article, chemical properties of six biomass group components, namely, starch, cellulose, Hemicellulose (Hem), lignin, protein and oil, were evaluated and their pyrolysis behavior, gaseous product evolution, kinetics and product distributions were investigated using TG-FTIR and Py-GC/MS.

TL;DR: To improve the accuracy of forecasting the short-term wind speed, a hybrid wind speed forecasting model has been proposed based on four modules: crow search algorithm (CSA), wavelet transform (WT), feature selection (FS), and deep learning time series prediction based on Long Short Term Memory neural networks (LSTM).

TL;DR: In this article, an exergoeconomic analysis with reliability and availability considerations is studied for a cogeneration system composed of compressed air energy storage, organic Rankine cycle, and absorption-compression refrigeration cycle.

TL;DR: In this paper, the authors examined the diesel engine characteristics for various fractions of diethyl ether (DEE) as an oxygenated fuel additive in cottonseed oil biodiesel-diesel fuel blends.

TL;DR: An enhanced adaptive differential evolution algorithm is proposed to extract photovoltaic parameters fast, accurately and reliably and shows competitive performance on accuracy, reliability and convergence speed compared with other state-of-the-art algorithms.

TL;DR: This paper proposes a Boosted Harris Hawk’s Optimization (BHHO) technique, which combines random exploratory steps of evolution inspired by the flower pollination algorithm and a powerful mutation scheme of the differential evolution with 2-Opt algorithms to achieve a more stable model and effectively estimate the parameters of the single diode PV model.

TL;DR: In this article, a suggested route combining a number of technologies that create an economically-feasible process for conversion of seaweeds to high-grade crude bio-oil through pyrolysis is presented.

TL;DR: In this paper, a hybrid piezoelectric wind energy scavenger with different cross-sectioned bluff bodies is presented to enhance the energy scavenging performance by coupling both the vortex-induced vibrations (VIV) and galloping phenomena.

TL;DR: In this article, a comprehensive review of heat recovery opportunities for proton exchange membrane fuel cells is provided, where the authors identify the research gaps in this area and provide direction on future studies on thermal management and integrated heat recovery solutions for Proton Exchange Membrane fuel cells.

TL;DR: In this article, a chance-constrained programming (CCP)-based scheduling model is proposed for a small-scale integrated energy system (IES) with CHP units, thermal power units, renewable generations and representative auxiliary equipments.

TL;DR: In this paper, the pyrolytic bioenergy potential of water hyacinth roots (WHR), stems and leaves (WHSL) was quantified by assessing their physicochemical properties.

TL;DR: The superiority of the proposed perturbation mutation based particle swarm optimization algorithm compared with other well-established parameters extraction methods in terms of accuracy, stability, and rapidity is comprehensively demonstrated.

TL;DR: In this paper, the combination of a green compressed air energy storage with various low and medium-temperature waste heat recovery cycles is analyzed to address the most feasible choice in diverse working conditions.

TL;DR: In this paper, an innovative and facile passive battery thermal management (BTM) with thermally induced flexible composite PCM (FCPCM) is reported. But the performance of the battery is limited by the high thermal leakage, low thermal conductivity and high rigidity of PCM from the assembly perspective.