Showing papers in "Energy in 2018"

TL;DR: In this article, a wide scope of thermal energy storage field is discussed and the role of TES in the contexts of different thermal energy sources and how TES unnecessitates fossil fuel burning are explained.

TL;DR: A novel solar prediction scheme for hourly day-ahead solar irradiance prediction by using the weather forecasting data is proposed and it is demonstrated that the proposed algorithm outperforms these competitive algorithms for single output prediction.

TL;DR: In this paper, the authors considered both cross-sector and cross-border integration in the model PyPSA-Eur-Sec-30, the first open, spatially-resolved, temporally resolved and sector-coupled energy model of Europe, and calculated the cost-optimal system for a 95% reduction in carbon dioxide emissions compared to 1990, incorporating electricity, transport and heat demand.

TL;DR: It is quantified how benefits exceed costs by a safe margin with the benefits of systems integration being the most important.

TL;DR: In this article, the authors introduced a growth model that considers the indicator of economic complexity as a measure of capabilities for exporting the high value-added (sophisticated) products.

TL;DR: In this article, a review of inorganic phase change materials (PCMs) in thermal energy storage has been presented, focusing on the thermal properties of the inorganic PCMs.

TL;DR: A review of the state of the art and the current research activities of high temperature heat pumps with heat sink temperatures in the range of 90 to 160°C can be found in this paper.

TL;DR: In this paper, a comparative out-of-sample analysis is conducted using monthly electric energy consumption time series from different countries in order to obtain more accurate demand forecasts, and the proposed methodologies substantially improve the forecast accuracy of the demand for energy end-use services in both developed and developing countries.

TL;DR: The optimization results demonstrate that a wind and solar energy based hybrid system with electrochemical storage offers more cost effective and reliable energy than a hybrid system for renewable energy with chemical storage.

TL;DR: In this article, the causal relationship between energy consumption, urbanization and economic growth using Dumitrescu-Hurlin panel Granger causality test for the period 1971-2014 in New Emerging-Market Countries (Colombia, India, Indonesia, Kenya, Malaysia, and Mexico).

TL;DR: A hybrid forecast strategy including novel feature selection technique, and a complex forecast engine based on a new intelligent algorithm to improve its accuracy and capability is proposed for short-term load forecasting of electricity load.

TL;DR: Results indicate that the proposed DE–LSTM model outperforms existing forecasting models in terms of forecasting accuracies and is designed to identify suitable hyperparameters for LSTM.

TL;DR: In this article, a decoupled weighted recursive least squares (DWRLS) method is proposed to estimate the parameters of the battery fast and slow dynamics separately, which circumvents an additional full-order observer for battery estimation.

TL;DR: In this article, the feasibility of a grid-tied hybrid microgrid system for local inhabitants of Kallar Kahar near Chakwal city of Punjab province in Pakistan is investigated.

TL;DR: A new hybrid model based on improved empirical mode decomposition (IEMD), autoregressive integrated moving average (ARIMA) and wavelet neural network (WNN) optimized by fruit fly optimization algorithm (FOA) is proposed and compared with some other models.

TL;DR: In this article, an experimental investigation is carried out to evaluate the performance and exhaust emissions of a single cylinder diesel engine fuelled with biodiesel-bioethanol-diesel blends.

TL;DR: A possible definition of flexibility and its sources in a thermal network is presented and the need for a more advanced control strategy is shown, by making a distinction between central, distributed and hybrid control.

TL;DR: In this article, the authors developed an open framework for quantifying the impacts of weather on electricity supply and demand using the Renewables.ninja and DESSTINEE models and demonstrated this using a case study of Britain using National Grid's Two Degrees scenario forwards to 2030.

TL;DR: The two empirical results illustrate that the novel initial condition with dynamic weighted coefficients can better adjust to the features of electricity consumption data than the previous initial conditions and show the superiority of the newly proposed model over the benchmark models.

TL;DR: The results show that the forecasting error of DBN model was mostly at a small level, and the forecasting accuracy of the proposed method outperforms BP and MWNN by more than 44%.

TL;DR: A fuzzy MCDM technique based on cumulative prospect theory is proposed for selecting the most appropriate RPS in China and shows that the solar PV is determined to be the best one in China, but the optimal alternative is sensitive to the prospect parameters.

TL;DR: In this paper, the authors investigated the dynamic long run relationship between CO2 emissions, economic growth, financial development, trade openness, industrialization, urbanization, coal and non-carbohydrate energy consumption within the framework of environmental Kuznets curve (EKC) for Turkey over the period 1971-2014.

TL;DR: In this paper, a seasonal grey model (SGM(1,1) model) based on the accumulation operators generated by seasonal factors was proposed to accurately predict the seasonal fluctuations of the electricity consumption of the primary economic sectors, which can provide the basis for power supply planning to ensure supply and demand balance in the electricity markets.

TL;DR: In this paper, a genetic algorithm was used as an evaluation engine by a genetic algorithms with the aim of minimising energy consumption in a small office building in Cardiff, UK, and the optimisation strategy successfully shifts load to cheaper price periods and reduces energy cost by around 27% compared to the baseline strategy.

TL;DR: In this paper, the behavior of long-term coulombic efficiency (CE) and its relationship with capacity degradation was explored and an incremental capacity (IC) analysis was employed to identify battery aging mechanisms.

TL;DR: Simulation results show that the multi energy system designed by the proposed optimal planning model shows better economic and environmental performances than the conventional centralized energy system and the typical combined cooling, heating and power systems.

TL;DR: The novelty of this work is in the incorporation of an IDM technique FCM-GRP into CHPEED to automatically determine the BCSs that represent decision makers' different, even conflicting, preferences.

TL;DR: A multiple health indicators-based and machine learning-enabled state-of-health estimator for prognostics and health management and an extreme learning machine is introduced to capture the underlying correlation between the extracted health indicators and capacity degradation to improve the speed and accuracy of machine learning for online estimation.

TL;DR: In this paper, two thermally coupled ternary extractive distillation processes were studied to separate the Ternary azeotropic mixture tetrahydrofuran/ethanol/water using a single component solvent (dimethyl sulfoxide) and a mixed solvent(dimethyl sulphoxide and ethylene glycol) as entrainer.

TL;DR: In this article, the feasibility of photovoltaic-thermoelectric (PV-TE) was analyzed and the current types and performance of PV-TE were reviewed.