Showing papers in "Applied Energy in 2017"

TL;DR: It is concluded that this technology has significant under-researched potential to support and enhance the efficiency gains of the revolution and identifies areas for future research.

TL;DR: The proposed ensemble approach has been extensively assessed using real wind farm data from China, and the results demonstrate that the uncertainties in wind power data can be better learned using the proposed approach and that a competitive performance is obtained.

TL;DR: In this paper, the authors employ the dynamic programming (DP) to locate the optimal actions for the engine in PHEVs, and propose a recalibration method to improve the performance of the rule-based energy management through the results calculated by DP algorithm.

TL;DR: The Chaotic Whale Optimization Algorithm (CWOA) is proposed, using the chaotic maps to compute and automatically adapt the internal parameters of the optimization algorithm for the parameters estimation of solar cells.

TL;DR: Wang et al. as mentioned in this paper investigated the potential of one of the most promising techniques in advanced data analytics, i.e., deep learning, in predicting 24-h ahead building cooling load profiles.

TL;DR: A review of the state-of-the-art developments in CO2 storage can be found in this paper, where the authors highlight the current status, current challenges and uncertainties associated with further deployment of established approaches and feasibility demonstration of relatively newer storage concepts.

TL;DR: In this paper, the authors present a review of the works published in the area of sCO2 power cycles and provide a comparison of the claimed performance of each one of them, based on the values declared in the original papers.

TL;DR: In this article, a Support Vector Regression (SVR) model was proposed for short-term load forecasting with the ambient temperature of two hours before a demand response event as input variables.

TL;DR: In this paper, the authors developed a model that draws on and extends approaches in the literature with respect to long-term storage and analyzed Liquid Organic Hydrogen Carriers (LOHC) and showed their potential impact on future hydrogen mobility.

TL;DR: The state-of-the-art ofIDR in the MESs is reviewed for the first time and the basic concept of IDR and the value analysis are introduced, and the research on IDR inThe MES is summarized.

TL;DR: In this paper, a new metric levelized cost of delivery (LCOD) is proposed to calculate the LCOE for the EES, which can be used to assist policymakers to consider the discount rate, the type of storage technology and sizing of components in a PV-EES hybrid system.

TL;DR: In this paper, the phase change heat transfer characteristics of composite phase change material (PCM) were investigated, and the experimental results were compared with the numerical results obtained by the two-temperature energy model.

TL;DR: In this paper, the authors classified ship propulsion topologies into combustion, electrochemical, stored and hybrid power supply, and analyzed which control strategies can improve performance of hybrid systems for future smart and autonomous ships and concluded that a combination of torque, angle of attack, and Model Predictive Control with dynamic settings could improve performance.

TL;DR: In this paper, the authors presented a mixed integer linear program methodologies that allow considering a year time horizon with hour resolution while significantly reducing the complexity of the optimization problem, thus allowing to correctly size the energy storage and to operate the system with a long-term policy.

TL;DR: In this article, the authors evaluated and selected the best location for utility-scale solar PV projects using geographical information systems (GIS) and a multi-criteria decision-making (MCDM) technique.

TL;DR: In this paper, an optimal operation model for an integrated energy system (IES) combining the thermal inertia of a district heating network (DHN) and buildings to enhance the absorption of wind power is proposed.

TL;DR: In this paper, an experimental study of wind energy harvesting by self-sustained oscillations (flutter) of a flexible piezoelectric membrane fixed in a novel orientation called the "inverted flag" is presented.

TL;DR: In this article, the melting process in a shell-and-tube latent heat thermal energy storage (LHTES) unit with annular fins was investigated and commercial grade paraffin was employed as the p...

TL;DR: In this paper, the STIRPAT model was combined with the use of the panel and time-series data to analyze the impacts of population, affluence and technology on the carbon emission of 125 countries at different income levels over the period of 1990-2011.

TL;DR: In this article, a novel technique for estimating commercial building energy consumption from a small number of building features by training machine learning models on national data from the Commercial Buildings Energy Consumption Survey (CBECS) is presented.

TL;DR: A hybrid approach that combines the wavelet transform, the kernel extreme learning machine (KELM) based on self-adapting particle swarm optimization and an auto regressive moving average (ARMA) with better generality and practicability than individual methods and other hybrid methods is proposed.

TL;DR: In this article, the state-of-the-art of multi-level thermal management techniques for both air- and liquid-cooled data centers is reviewed. But the main focus is on the sources of inefficiencies and the improvement methods with their configuration features and performances at each level.

TL;DR: In this paper, a systematic review of recently developed engine performance monitoring, diagnostic and prognostic techniques is presented, which provides experts, students or novice researchers and decision-makers working in the area of gas turbine engines with the state of the art for performance-based condition monitoring.

TL;DR: In this article, the authors examined the combined impacts of socioeconomic and spatial planning factors on CO2 emissions in cities that have experienced rapid urbanization, using an econometric model and a comprehensive panel dataset incorporating socioeconomic, urban form, and transportation factors for four Chinese megacities (Beijing, Tianjin, Shanghai and Guangzhou) in the period 1990-2010.

TL;DR: In this article, the authors investigated the variations in loads and moments on the turbine as well as the experienced angle of attack, shed vorticity and boundary layer events (leading edge and trailing edge separation, laminar-to-turbulent transition) as a function of pitch angle.

TL;DR: In this paper, a review of the development of thermal energy storage materials for building applications oriented towards zero-energy buildings is presented, with a special focus on their technical characteristics and development stage.

TL;DR: In this article, a solvent screening setup was used to find the CO 2 loading (α ) for 30 different aqueous amine solutions (30wt%) at a pressure of 1 bar with feed gas containing 15% CO 2 and 85% N 2 at 313.15, 303.15 and 313.9 K to provide reliable absorber parameters, and the combined data for the CO2 loading and the absorption heat generated 6 amines that have good properties for the post-combustion CO 2 capture process in comparison with that of MEA.

TL;DR: In this paper, a plasmonic membrane (PM) was fabricated for realizing the bio-inspired interface solar heating and continuous steam transportation through the micropores of the membranes, achieving a solar steam generation efficiency of ∼85% at an illumination power of 10kWm −2.

TL;DR: Numerical results show that comparing to the single-algorithm models, the developed multi-model framework with deep feature selection procedure has improved the forecasting accuracy by up to 30%.