Showing papers in "Energy in 2016"

TL;DR: In this paper, the authors demonstrate how the MERRA and MERRA-2 global meteorological reanalyses as well as the Meteosat-based CM-SAF SARAH satellite dataset can be used to produce hourly PV simulations across Europe.

TL;DR: In this article, the first international validation of reanalysis for wind energy, testing NASA's MERRA and MERRA-2 in 23 European countries, was reported, showing significant spatial bias, overestimating wind output by 50% in northwest Europe and underestimating by 30% in the Mediterranean.

TL;DR: In this article, two residential buildings with different levels of insulation and air-tightness have been modelled to assess the potential of buildings to modulate the heating power and define simple control strategies to exploit the flexibility potential considering both energy and thermal comfort.

TL;DR: In this article, two univariate models, ARIMA (the autoregressive integrated moving average) model and GM(1,1) model, are used to forecast China's primary energy consumption.

TL;DR: The performance of GOTLBO is comprehensively evaluated in thirteen benchmark functions and two parameter identification problems of solar cell models, i.e., single diode model and double diode models.

TL;DR: Comparisons show that the hybrid grey wolf optimizer used in this paper either matches or outperforms the other methods.

TL;DR: A new metaheuristic optimization algorithm, the chaotic bat algorithm, is presented for solving the economic dispatch problem involving a number of equality and inequality constraints such as power balance, prohibited operating zones and ramp rate limits.

TL;DR: In this article, a review of the susceptor assisted microwave processing is presented, which brings together various case studies so that the readers can have a clear idea about the current status in each field of applications.

TL;DR: In this article, the authors evaluated the lifecycle costs and carbon dioxide emissions of different types of city buses and found that the fuel and energy pathways were selected appropriately in relation to the operating environment.

TL;DR: In this paper, a hybrid wind-solar generation microgrid system with hydrogen energy storage is designed for a 20-year period of operation using novel multi-objective optimization algorithm to minimize the three objective functions namely annualized cost of the system, loss of load expected and loss of energy expected.

TL;DR: In this article, the authors investigated the impact of orientation on energy consumption in small-scale construction and assessed how BIM can be used to facilitate this process, and found that a well-oriented building can save a considerable amount of energy throughout its life cycle.

TL;DR: In this paper, the authors investigated the performance of supercritical CO 2 cycles for coal power plant application and proposed a design of such a power cycle for a first step implementation of the technology.

TL;DR: In this article, a 3D thermal runaway (TR) propagation model is built for a large format lithium ion battery module and validated by experiment and can provide beneficial discussions on the mechanisms of TR propagation.

TL;DR: In this paper, the authors examined the long-run and causal relationships among energy consumption, carbon dioxide (CO2) emissions and economic growth for a sample of 12 selected Sub-Sahara African countries.

TL;DR: In this article, the effect of carbon fiber loading within the PCM on thermal performance is studied and the results are compared with the experimental data, which shows that the presence of carbon fibers increases the effective thermal conductivity of PCM and hence influences temperature distribution within the cell.

TL;DR: In this article, the authors present and validate a novel and computational efficient time slice approach that is readily applicable to input data for all kinds of power system models, and illustratively determine representative days for the long-term model LIMES-EU and show that a small number of model days developed in this way is sufficient to reflect the characteristic fluctuations of the input data.

TL;DR: In this paper, a DBN made up from multiple layers of restricted Boltzmann machines is used for electricity load forecasting in the Macedonian electric power system, and the results show that the applied model is not only suitable for hourly electricity load prediction of the Macedonia electric power systems, but also provides superior results than the ones obtained using traditional methods.

TL;DR: In this article, Artificial Neural Networks have emerged as a key method to address the issue of nonlinearity of building energy data and the robust calculation of large and dynamic data, and the development and validation of such models on one of the TxAIRE Research houses has been demonstrated.

TL;DR: In this paper, the authors investigated the long term relationship of stock prices of alternative energy companies with oil prices in a multivariate framework using threshold cointegration tests, which endogenously incorporate possible regime shifts in long run relationship of underlying variables.

TL;DR: In this article, the authors proposed Ant Lion Optimization Algorithm (ALOA) for optimal allocation and sizing of renewable DG sources in various distribution networks, where the most candidate buses for installing DG are suggested using Loss Sensitivity Factors (LSFs).

TL;DR: In this article, the effect of process conditions on the yield and physicochemical properties of hydrochar was examined by varying carbonization temperature over the range of 220-300°C and varying residence time over a range of 2-10h.

TL;DR: In this paper, a novel optimal power management approach for plug-in hybrid electric vehicles against uncertain driving conditions was proposed, where the particle swarm optimization algorithm was employed to optimize the threshold parameters of the rule-based power management strategy under a certain driving cycle, and the optimization results were used to determine the optimal control actions.

TL;DR: In this paper, the authors analyse public acceptance of energy infrastructure and its main drivers on local vs. national levels using a nationally representative survey and find that, on a national level, the acceptance of RES is very high and there is also a high acceptance of grid expansion if it helps to increase the share of RES in the system.

TL;DR: In this paper, four different H 2 -technologies were considered: Hydrogen enriched Natural Gas (H2NG), MHHP (Metal Hydride Heat Pump), GHP (Gas-driven Heat Pump) and SCH4 (Synthetic Methane).

TL;DR: In this paper, the implications of electrifying the production of basic materials in the European Union is explored in a what-if thought-experiment, and it is shown that a complete shift of the energy demand as well as the resource base of feedstocks to electricity would result in an electricity demand of 1713TW-hours about 1200 TW-hours of which would be for producing hydrogen and hydrocarbons for feedstock and energy purposes.

TL;DR: In this paper, the authors developed a citywide UBEM based on official GIS datasets and a custom building archetype library for estimating citywide hourly energy demands at the building level.

TL;DR: In this paper, three battery electric buses from China are operated and charged in Macao under different air-conditioning, load, and speed settings, and two 12-m and eight-m buses were compared to their diesel counterparts.

TL;DR: A self-adapting intelligent grey prediction model that can automatically optimize model parameters according to the real data characteristics of modeling sequence is proposed and used to forecast China's natural gas demand during 2015–2020.

TL;DR: In this paper, the performance of the ORC (organic Rankine cycle) powered by geothermal water, in three different configurations, including the simple ORC, PTORC (parallel two-stage ORC) and STORC (series two stage ORC), using zeotropic working fluids is investigated from the viewpoints of the energy and exergy.

TL;DR: Backtracking search algorithm (BSA) for solving economic dispatch (ED) problems with considering valve-point loading effects, prohibited operating zones, and multiple fuel options is presented.