Showing papers in "Energy in 2017"

TL;DR: The Smart Energy System concept represents a scientific shift in paradigms away from single-sector thinking to a coherent energy systems understanding on how to benefit from the integration of all sectors and infrastructures.

TL;DR: In this article, the authors proposed an overarching review of national municipal waste management systems and waste-to-energy as an important part of it in the context of circular economy in selected countries in Europe.

TL;DR: In this article, the authors provide a review of the current position for district heating and cooling in the world, with some deeper insights into European conditions, showing that the European situation can be characterized by higher commitment to the fundamental idea of district heating, lower specific carbon dioxide emissions, and higher awareness of the district heating benefits.

TL;DR: In this paper, the authors investigated the pollution haven hypothesis (PHH) in Ghana utilizing CO 2 emission as an indicator of air pollution for the period of 1980-2012, using different time series models utilizing the autoregressive distributed lag (ARDL) method.

TL;DR: In this paper, the authors investigate the nexus among per capita carbon dioxide (CO2) emissions, gross domestic product (GDP), and natural gas and renewable energy consumption within the framework of the environmental Kuznets curve (EKC), in a 1985-2016 sample of BRICS countries (i.e., Brazil, Russia, India, China, and South Africa).

TL;DR: In order to get the final optimal solution in the real-world multi-objective optimization problems, trade-off methods including a priori methods, interactive methods, Pareto-dominated methods and new dominance methods are utilized.

TL;DR: In this paper, a thermal energy extrusion system was made by an improved parameters effect controlling method to promote the manufacturing economic efficiency, which is composed of activation energy electrical MHD Ohmic dissipation and mixed convection of a viscoelastic non-Newtonian Carreau-Nanofluid on a stagnation-point energy conversion problem.

TL;DR: A new prediction model for small scale load prediction i.e., buildings or sites is outlined, based on improved version of empirical mode decomposition (EMD) which is called sliding window EMD (SWEMD), a new feature selection algorithm and hybrid forecast engine.

TL;DR: A comprehensive review of the state-of-the-art applications, materials and performance of current heat pipe devices can be found in this paper, where heat pipe technologies offer many key advantages over conventional practices.

TL;DR: A hybrid genetic algorithm with particle swarm optimization (GA-PSO) is applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines, and battery, and results show that the proposed approach with 0.502 of the levelized cost of energy for the PV/WT/BAT system has the best result through the compared methods.

TL;DR: In this paper, the authors investigated the existence of environmental Kuznets curve in Croatia for the period of 1992Q1-2011Q1 and applied the Autoregressive Distributed Lag (ARDL) and VECM method to fulfil the goals of the paper.

TL;DR: In this article, the authors stress the need for grid and backup capacity by investigating an integrated market in Europe, allowing for additional short-term as well as long-term storage and considering concentrated solar power (CSP) as a dispatchable backup option.

TL;DR: In this article, the authors interpolate between two concepts for balancing the variability of these renewable sources: balancing at continental scales using the transmission grid and balancing locally with storage, by systematically restricting transmission capacities from the optimum level to zero.

TL;DR: In this paper, a numerical approach is presented to simulate and analyze the heat extraction process in EGS, which is regarded as fractured porous media consisting of rock matrix blocks and discrete fracture networks.

TL;DR: In this paper, the authors have tried to establish a strong connection between pretreatment options and their combination with prior and post pretreatment processes, which is pre-requisite to success of establishing the commercial facility.

TL;DR: In this paper, the authors provide a review of district heating and cooling in Sweden, focusing on the market, technical, supply, environmental, institutional, and future contexts, and conclude that the long-term market solutions have then become district heating in dense urban areas and local heat pumps in suburban and rural areas.

TL;DR: In this paper, the design of a hybrid system based on PV-biomass gasifier-diesel and grid and optimize the system configuration for different load profiles was analyzed for different peak load, energy demand profiles and grid availability.

TL;DR: In this paper, a stochastic programming model is proposed to optimize the performance of a smart micro-grid in a short term to minimize operating costs and emissions with renewable sources.

TL;DR: In this article, the feasibility of a stand-alone hybrid power generation for a remote community in Bangladesh is carried out in a study, which integrates a combination of biogas generator, PV modules, diesel generators, wind turbines, and lead acid battery to meet the electric load requirements using HOMER software tool.

TL;DR: The main energy storage techniques can be classified as: 1) Magnetic systems: Superconducting Magnetic Energy Storage, 2) Electrochemical systems: Batteries, fuel cells, Super-capacitors, 3) Hydro Systems: Water pumps, 4) Pneumatic systems: Air compressors, 5) Mechanical systems: Flywheels, 6) Thermal systems: Molten salt, Water or oil heaters as discussed by the authors.

TL;DR: Through simulation studies on a real time system of Allahabad city, the superior performance of the aforementioned technique with respect to genetic algorithm and particle swarm optimization in terms of improvement in voltage profile and quality is found.

TL;DR: An hourly energy balance analysis of the Australian National Electricity Market in a 100% renewable energy scenario, in which wind and photovoltaics (PV) provided about 90% of the annual electricity demand and existing hydroelectricity and biomass provided the balance, was presented in this paper.

TL;DR: In this article, the authors review the properties of pyrolysis gas for energy recovery because it is a good gaseous fuel and identify possible implications of possible implications in the future.

TL;DR: In this article, nanoparticles were hypothesized to enhance the anaerobic process and to accelerate the slurry digestion, which increases the biogas and methane production, and the best results of NPs additives were selected based on the statistical analysis (Least Significant Difference using M-Stat).

TL;DR: In this article, a hybrid intelligent approach named ADE-BPNN, the back-propagation neural network (BPNN) model supported by an adaptive differential evolution algorithm, is proposed to estimate energy consumption.

TL;DR: In this article, a model is proposed for predicting thermo-physical properties of superheated steam (SHS) in SHS injection wells and for estimating wellbore heat efficiency.

TL;DR: In this article, the authors provide an up-to-date review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use.

TL;DR: In this article, the authors investigated the relationship among biomass energy consumption, economic growth and carbon emissions in West Africa during 1980-2010 by integrating the pollution production function and energy demand function with an augmented endogenous growth model.

TL;DR: In this article, the relationship between urbanization and energy consumption in case of Pakistan for the period of 1972Q1-2011Q4 by employing the STIRPAT (Stochastic Impact by Regression on Population, Affluence and Technology) model was investigated.

TL;DR: In this paper, two families of ANNs are generated: the existing building stock (as is), the renovated stock in presence of energy retrofit measures (ERMs), which are generated in MATLAB ® by using the outcomes of EnergyPlus simulations as targets for networks' training and testing.