Spray Combustion Characteristics of Waste Oil and System Analysis for an Energy System Using Microwave-Induced Nonequilibrium Plasma

2013 ◽  
Vol 27 (4) ◽  
pp. 2283-2289 ◽  
Author(s):  
Tsuyoshi Yamamoto ◽  
Ryosuke Imazato ◽  
Takahisa Yamamoto ◽  
Ryo Tanaka
Keyword(s):  
System Analysis ◽  
Energy System ◽  
Nonequilibrium Plasma ◽  
Combustion Characteristics ◽  
Spray Combustion ◽  
Waste Oil

Smart Cities and Smart Regulation

2018 ◽  
Author(s):  
Anita Rønne
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Fossil Fuels ◽  
System Analysis ◽  
New Technologies ◽  
Smart Cities ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Political Agenda ◽  
Smart Regulation

Increasing focus on sustainable societies and ‘smart cities’ due to emphasis on mitigation of climate change is simultaneous with ‘smart regulation’ reaching the forefront of the political agenda. Consequently, the energy sector and its regulation are undergoing significant innovation and change. Energy innovations include transition from fossil fuels to more renewable energy sources and application of new computer technology, interactively matching production with consumer demand. Smart cities are growing and projects are being initiated for development of urban areas and energy systems. Analysis from ‘Smart Cities Accelerator’, developed under the EU Interreg funding programme that includes Climate-KIC,——provides background for the focus on a smart energy system. Analysis ensures the energy supply systems support the integration of renewables with the need for new technologies and investments. ‘Smart’ is trendy, but when becoming ‘smart’ leads to motivation that is an important step towards mitigating climate change.

scholarly journals Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3800
Author(s):  
Sebastian Krapf ◽  
Nils Kemmerzell ◽  
Syed Khawaja Haseeb Khawaja Haseeb Uddin ◽  
Manuel Hack Hack Vázquez ◽  
Fabian Netzler ◽  
...  
Keyword(s):  
Deep Learning ◽  
System Analysis ◽  
State Of The Art ◽  
Critical Role ◽  
Semantic Segmentation ◽  
Energy System ◽  
Aerial Images ◽  
Potential Analysis ◽  
3D Data ◽  
Challenges And Opportunities

Roof-mounted photovoltaic systems play a critical role in the global transition to renewable energy generation. An analysis of roof photovoltaic potential is an important tool for supporting decision-making and for accelerating new installations. State of the art uses 3D data to conduct potential analyses with high spatial resolution, limiting the study area to places with available 3D data. Recent advances in deep learning allow the required roof information from aerial images to be extracted. Furthermore, most publications consider the technical photovoltaic potential, and only a few publications determine the photovoltaic economic potential. Therefore, this paper extends state of the art by proposing and applying a methodology for scalable economic photovoltaic potential analysis using aerial images and deep learning. Two convolutional neural networks are trained for semantic segmentation of roof segments and superstructures and achieve an Intersection over Union values of 0.84 and 0.64, respectively. We calculated the internal rate of return of each roof segment for 71 buildings in a small study area. A comparison of this paper’s methodology with a 3D-based analysis discusses its benefits and disadvantages. The proposed methodology uses only publicly available data and is potentially scalable to the global level. However, this poses a variety of research challenges and opportunities, which are summarized with a focus on the application of deep learning, economic photovoltaic potential analysis, and energy system analysis.

scholarly journals Temporal load resolution impact on PV/grid system energy flows

2018 ◽  
Vol 240 ◽  
pp. 04003 ◽  
Author(s):  
Marek Jaszczur ◽  
Qusay Hassan ◽  
Janusz Teneta
Keyword(s):  
Temporal Resolution ◽  
System Analysis ◽  
Estimation Error ◽  
Energy System ◽  
Photovoltaic System ◽  
Acquisition Time ◽  
Storage Unit ◽  
Time Step ◽  
Energy Flows ◽  
Pv Grid

In this paper, an investigation of the electrical load temporal resolution on the PV/Grid energy system flows, and self-consumption is done in order to determine the optimum parameters for modelling and simulation. The analysed PV/Grid power systems include a photovoltaic system with the nominal power of Pmax@STC=1.5, 2.5, 3.5 kW without storage unit connected to the grid. The results show that the temporal load resolution may have a high impact on energy flows as well as can be a critical issue for the system analysis accuracy even for the single household. It has been found that the load temporal resolution for energy consumption of 1-min yields reliable results, while data resolutions of 5 and 15 min are still sufficient, however, in that case, the daily electrical energy flows and in consequence energy self-consumption estimation error for selected days may exceed 15%. Acquisition time step longer than 15-minutes may increase error above 20% and from the designer’s point of view should not be used. The high and low temporal resolution experimental data of the electricity consumption (load) for a household are available in digital form on the author’s website http://home.agh.edu.pl/jaszczur.

scholarly journals Role of the national energy system modelling in the process of the policy development

2012 ◽  
Vol 16 (3) ◽  
pp. 703-715 ◽  
Author(s):  
Matevz Pusnik ◽  
Boris Sucic ◽  
Andreja Urbancic ◽  
Stane Merse
Keyword(s):  
System Analysis ◽  
Renewable Energy Sources ◽  
Research Work ◽  
Calculated Data ◽  
Energy Systems ◽  
Energy System ◽  
Alternative Possibilities ◽  
System Modelling ◽  
Small Energy ◽  
New Approach

Strategic planning and decision making, nonetheless making energy policies and strategies, is very extensive process and has to follow multiple and often contradictory objectives. During the preparation of the new Slovenian Energy Programme proposal, complete update of the technology and sector oriented bottom up model of Reference Energy and Environmental System of Slovenia (REES-SLO) has been done. During the redevelopment of the REES-SLO model trade-off between the simulation and optimisation approach has been done, favouring presentation of relations between controls and their effects rather than the elusive optimality of results which can be misleading for small energy systems. Scenario-based planning was integrated into the MESAP (Modular Energy System Analysis and Planning) environment, allowing integration of past, present and planned (calculated) data in a comprehensive overall system. Within the paper, the main technical, economic and environmental characteristics of the Slovenian energy system model REES-SLO are described. This paper presents a new approach in modelling relatively small energy systems which goes beyond investment in particular technologies or categories of technology and allows smooth transition to low carbon economy. Presented research work confirms that transition from environment unfriendly fossil fuelled economy to sustainable and climate friendly development requires a new approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness about new opportunities in exploitation of energy efficiency and renewable energy sources.

Analysis of Biodiesel Spray Combustion in Internal-Combustion Engine using Multidimensional Models

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
Qiuyu Zheng ◽  
Xu Wang ◽  
Yi Liu ◽  
Feng Jiang ◽  
Tianqi Liu
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Phase Control ◽  
Combustion Characteristics ◽  
Liquid Fuels ◽  
Spray Combustion ◽  
Dimensional Model ◽  
Fuel Temperature ◽  
Ic Engine

With the rapid scale expansion of the first generation of bio-liquid fuels, its impact on the prices of agricultural products, food security and the environment has begun to emerge and attracted extensive attention from governments and academia. A new multi-dimensional model of biodiesel spray combustion in an internal combustion (IC) engine is designed. Firstly, the BP neural network mining model is used to extract the spray combustion data of the IC engine. Then, based on the combustion data of biodiesel load in an internal combustion engine, burning rate and heat release, the principle of spray combustion of biodiesel is analyzed. Finally, from the two aspects of gas-phase control and liquid phase control, a multi-dimensional model of biodiesel spray combustion in IC engine is established and the spray combustion characteristics of biodiesel in IC engine are analyzed. The research results show that the model can effectively analyze the effect of load and fuel temperature on the spray combustion characteristics of biodiesel and the results of the model are almost the same as the actual data and the calculation accuracy is high. It is an effective method for studying the spray combustion characteristics of biodiesel.

Co‐combustion characteristics of black liquor and waste oil sludge

2021 ◽  
Author(s):  
Fang‐Hsien Wu ◽  
Yong‐Hong Lu ◽  
Guan‐Bang Chen ◽  
Hsien‐Tsung Lin ◽  
Ta‐Hui Lin
Keyword(s):  
Black Liquor ◽  
Combustion Characteristics ◽  
Oil Sludge ◽  
Waste Oil

Spray Combustion Characteristics of Single/Multi-Component Surrogate Fuel for Aviation Kerosene

2022 ◽  
Author(s):  
Wenjin Qin ◽  
Dengbiao Lu ◽  
Lihui Xu
Keyword(s):  
Soot Formation ◽  
Mean Field ◽  
Combustion Characteristics ◽  
Spray Combustion ◽  
Aviation Kerosene ◽  
Eddy Simulation ◽  
Air Mixing ◽  
Flow Field Characteristics ◽  
Lift Off ◽  
Surrogate Fuel

Abstract In this research, n-dodecane and JW are selected as single and multi-component surrogate fuel of aviation kerosene to study the Jet-A spray combustion characteristics. The spray combustion phenomena are simulated using large eddy simulation coupled with detailed chemical reaction mechanism. Proper orthogonal decomposition method is applied to analyze the flow field characteristics, and the instantaneous velocity field are decomposed into four parts, namely the mean field, coherent field, transition field and turbulent field, respectively. The four subfields have their own characteristics. In terms of different fuels, JW has a higher intensity of coherent structures and local vortices than n-dodecane, which promotes the fuel-air mixing and improves the combustion characteristics, and the soot formation is significantly reduced. In addition, with the increase of initial temperature, the combustion is more intense, the ignition delay time is advanced, the flame lift-off length is reduced, and soot formation is increased accordingly.

Sign in / Sign up

Export Citation Format

Share Document