scholarly journals Simulation models to study development of the coal industry as energy sector component

2019 ◽  
Vol 77 ◽  
pp. 02004
Author(s):  
Liudmila Takaishvili
Keyword(s):  
Energy Systems ◽  
Simulation Models ◽  
Energy Sector ◽  
Coal Industry ◽  
Level Of Detail ◽  
Optimization Models ◽  
Industry Development ◽  
Investment Projects ◽  
Its Regions ◽  
Study Development

This paper presents simulation models constructed at Melentiev Energy Systems Institute of SB RAS to study prospects of the coal industry development in Russia and its regions. The models are implemented within the information and model software COAL, which includes four types of models: three types of balance models and a model intended to assess investment projects of enterprises and their groups. The balance models differ in the level of detail of representing the coal industry in regions. The presented models may be applied both jointly with the existing optimization models and independently.

POTENTIAL OF INTRODUCING DIGITAL AND INTELLIGENT SYSTEMS IN ELECTRICITY

2020 ◽  
Vol 37 (3) ◽  
pp. 36-45
Author(s):  
F.F. Khabirov ◽  
V.S. Vokhmin ◽  
Keyword(s):  
Distributed Generation ◽  
Energy Supply ◽  
Intelligent Systems ◽  
New Technologies ◽  
Technological Development ◽  
Energy Systems ◽  
Electric Power Industry ◽  
Energy Sector ◽  
Current Level ◽  
Environmental Friendliness

The article considers the possibility of introducing digital and intelligent systems in the electric power industry, including the analysis of the consequences after the introduction of new technologies on the economic, social and technological side. Currently, the concept of distributed generation is being used more and more often in the global energy arena. This is certainly a trend in the energy sector. The current level of technological development in the energy sector is quite high, but in order to continue to increase competitiveness, we need a further transition to digital and intelligent energy systems that will increase the reliability, quality, environmental friendliness and automation of energy supply.

scholarly journals The Potential Of Simulating Energy Systems: The Multi Energy Systems Simulator Model

2021 ◽  
Author(s):  
Luigi Bottecchia ◽  
Pietro Lubello ◽  
Pietro Zambelli ◽  
Carlo Carcasci ◽  
Lukas Kranzl
Keyword(s):  
Open Source ◽  
Spatial Scales ◽  
Optimal Solution ◽  
Energy Systems ◽  
Energy Transition ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Energy System Model ◽  
Urban Level

Energy system modelling is an essential practice to assist a set of heterogeneous stakeholders in the process of defining an effective and efficient energy transition. From the analysis of a set of open source energy system models, it has emerged that most models employ an approach directed at finding the optimal solution for a given set of constraints. On the contrary, a simulation model is a representation of a system that is used to reproduce and understand its behaviour under given conditions, without seeking an optimal solution. Given the lack of simulation models that are also fully open source, in this paper a new open source energy system model is presented. The developed tool, called Multi Energy Systems Simulator (MESS), is a modular, multi-node model that allows to investigate non optimal solutions by simulating the energy system. The model has been built having in mind urban level analyses. However, each node can represent larger regions allowing wider spatial scales to be be represented as well. MESS is capable of performing analysis on systems composed by multiple energy carriers (e.g. electricity, heat, fuels). In this work, the tool’s features will be presented by a comparison between MESS itself and an optimization model, in order to analyze and highlight the differences between the two approaches, the potentialities of a simulation tool and possible areas for further development.

scholarly journals Tendencies of coal industry development in Ukraine

2016 ◽  
Vol 10 (2) ◽  
pp. 1-8 ◽  
Author(s):  
V Snihur ◽  
◽  
D Malashkevych ◽  
T Vvedenska ◽  
◽  
...  
Keyword(s):  
Coal Industry ◽  
Industry Development

From Component to Macro Energy Systems: A Common Design and Off-Design Modeling Approach

2011 ◽  
Author(s):  
S. Rech ◽  
A. Lazzaretto
Keyword(s):  
Energy Systems ◽  
Level Of Detail ◽  
Design Specification ◽  
Mathematical Functions ◽  
Independent Variables ◽  
Performance Curves ◽  
Systems Models ◽  
Energy And Momentum ◽  
Energy Balances ◽  
Mass And Energy Balances

A common approach for simulation of energy systems at design and off-design conditions is presented, which uses the same concepts and terminology independently of system dimension, complexity and detail. The paper shows that the higher the dimension of the system, the simpler is the model of each part of the system, but concepts and approach to built the model remain the same, being those commonly used in the literature. The approach consists in organizing energy systems models according to some criteria, which help enhance system models comprehension, and build them more easily. For any dimension and level of detail of the system these criteria consist in identifying the design specification from the environment surrounding the system, choosing the independent variables depending on the nature of the model, organizing them into categories, defining performance curves (characteristic maps) of each part of the system and organizing mass and energy balances into categories. Particular emphasis is given on modeling of system units behavior, which is generally described by the mathematical functions (characteristic maps) linking outflow to inflow variables. Examples of characteristic maps of the system units at each level of detail are shown, and models are then completed by mass, energy and momentum balances linking the behavior of all system units.

Five Fundamental Trends of Global Energy Sector, European Green Deal as Deterrents to Development of Mining and Energy Sector

2021 ◽  
pp. 94-100
Author(s):  
Yu.A. Plakitkin ◽  
L.S. Plakitkina
Keyword(s):  
Energy Density ◽  
Global Economy ◽  
Technological Development ◽  
Energy Sector ◽  
Coal Industry ◽  
Paris Agreement ◽  
Hydrogen Energy ◽  
Coal Consumption ◽  
Global Energy ◽  
The World

As part of the Paris Agreement on climate change, Russia has made a commitment to reduce greenhouse gas emissions by 70% by 2030 (compared to the 1990 level) with account for maximum carbon sequestration capacity of forests and other ecosystems. Implementation of the Paris Agreement significantly extends the effects of the fundamental global energy sector trends on development of the energy producing sectors and results in reduced consumption of coal and other conventional energy sources. The authors identified the following five trends in development of global energy sector, i.e. increasing energy density, global energy transition, impact of local energy transitions on the global technological development, growth of energy density and labor productivity, formation of "carbon trap". The paper discusses the anticipated large technological leaps to be realized in the world economy by the middle of the XXI century. Measures and proposals on adaptation of the coal industry to the new conditions of the world economic development are presented. Among these, particular attention should be paid to the preparation of a new Coal Strategy-2050, which would include the development of a "stress scenario" of a possible reduction in coal consumption due to the decarbonisation of the global economy by 2050 and the implementation of hydrogen energy programmes by many countries.

Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems

2015 ◽  
pp. 113-135 ◽  
Author(s):  
Catalina Spataru ◽  
Andreas Koch ◽  
Pierrick Bouffaron
Keyword(s):  
Material Science ◽  
Control Strategies ◽  
Energy Systems ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Multi Scale ◽  
Future Challenges ◽  
Urban Energy ◽  
Power System Engineering

This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system modelling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow's urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.

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