scholarly journals Decarbonising power system with high share of renewables and optionally with or without nuclear, Slovenia case

2021 ◽  
pp. 342-342
Author(s):  
Joze Dimnik ◽  
Peter Novak ◽  
Simon Muhic

The aim of this work is to highlight challenges, if there are any, in decarbonising national power system in Republic of Slovenia. National electricity grid was hourly simulated using EnergyPlan - Advanced energy system analysis computer model in circumstances where distributed power sources capacity exceeds peak system demand. The goal was to estimate the influence of 4400 MW distributed power production to the power grid with peak demand of up to 3000 MW, respecting the fact that distributed power sources partly meet demand in summer sunlight time, however modestly meets demand in winter time. Electricity demand in summer and winter time are of the same magnitude of order. Modest system capacity for electricity storage were respected and influence to cross border transmission demand was estimated. Chalenges related to grid stability were shown and how nuclear can improve grid stability is presented.

2019 ◽  
Vol 124 ◽  
pp. 05035
Author(s):  
L.V. Plotnikova ◽  
I.I. Chilikova ◽  
E.V. Khramova ◽  
V.V. Plotnikov

The stages of the system analysis of an industrial energy system with a complex structure are considered by the example of pulp and paper production. The software of the structural and thermodynamic stages of the analysis is presented. The results of thermodynamic calculations of the elements of the energy system by the optimal sequence are given. A variant of the system modernization using a heat pump is presented.


Author(s):  
Matthias Fripp

Background: New open-source electric-grid planning models have the potential to improve power system planning and bring a wider range of stakeholders into the planning process for next-generation, high-renewable power systems. However, it has not yet been established whether open-source models perform similarly to the more established commercial models for power system analysis. This reduces their credibility and attractiveness to stakeholders, postponing the benefits they could offer. In this paper, we report the first model intercomparison between an open-source power system model and an established commercial production cost model. Results: We compare the open-source Switch 2.0 to GE Energy Consulting’s Multi Area Production Simulation (MAPS), considering 18 scenarios of renewable energy adoption in Hawaii. We find that after configuring Switch with similar inputs to MAPS, the two models agree closely on hourly and annual production from all power sources. Comparing production gave an R2 value of 0.996 across all energy sources and scenarios, with R2 values in the range of 69–100 percent for individual sources. Conclusions: Although some disagreement remains between the two models, this work indicates that Switch is a viable choice for renewable integration modeling, at least for the small power systems considered here.


2021 ◽  
Vol 2 (2(58)) ◽  
pp. 51-54
Author(s):  
Olha Boiko ◽  
Vira Shendryk ◽  
Yuliia Parfenenko ◽  
Petr Pavlenko ◽  
Yevhenii Kholiavka

The object of research is the process of expert evaluation in planning the energy supply of buildings using renewable energy sources. The conducted research is based on the application of system analysis methods to formalize the process of expert evaluation in the planning of an energy system with renewable energy sources. Here were used methods of expert evaluation of characteristics of qualitative criteria, methods of the theory of fuzzy sets and fuzzy logic for the formation of the value of criteria, and methods of estimating the reliability of the expert evaluation. Methods of structural analysis and functional modelling of information systems are used to build structural and functional models of the expert evaluation process. The issue of creating an appropriate information system for planning a power system with renewable energy sources is considered. One of the components of the information system is the unit for evaluating candidate experts. A six-level algorithm of the hierarchical structure of expert selection is proposed. As a result of the algorithm, an expert group is formed. This paper shows the process of narrowing the circle of experts from twenty to three candidates. The list of criteria influencing the choice of experts is formed: length of service, availability of the certificate, the efficiency of decision-making, education. The process of assessing the stability of experts' opinions is shown. It is proposed to use the method of processing the opinions of experts to find the value of the membership functions of qualitative criteria. As a result of the study, a group of three experts was formed, whose opinions are taken into account when choosing alternatives to the energy system. In accordance with the proposed information technology of energy supply planning of buildings using renewable energy sources, an information system in the form of a web-oriented application is proposed. A separate part of the information system is a subsystem for working with experts. The diagram of sequence of actions of the expert and the interface of work with system is developed. The use of the information system allowed to increase the efficiency of questionnaires of experts and decision-making on the choice of the optimal structure of the power system as a whole.


2020 ◽  
Author(s):  
Robert Lowe ◽  
Tadeusz Oreszczyn

The problem of decarbonising heating in buildings has been studied for more than 20 years, but there is still no settled consensus on strategy or choice of technology. There is consensus that the problem requires analysis of the whole energy system. Recent literature based on whole system analysis appears to indicate that heat pumps are likely offer the cheapest decarbonisation option overall, achieving an immediate factor of three reduction in emissions, with the promise of close to zero emissions by 2030, as a consequence of a phenomenon that now appears unstoppable – the decarbonisation of electricity generation. Though some dwellings would also benefit from additional insulation to increase health and comfort, the overall role of insulation in decarbonisation is likely to be secondary. High levels of insulation are not essential to the deployment of heat pumps and are only likely to be cost effective in easy-to-treat properties. But technology choice is not an either-or question. Combinations of technology, such as hybrid heat pumps, and deployment of large heat pumps in district heating systems, offer obvious advantages. And if the role of hydrogen as a vector for supplying heat to individual homes appears limited on overall cost grounds, hydrogen or hydrogen-derived fuels are likely to play a strategic role in providing backup for the electricity grid at multiple levels, including the very long-term energy storage that will be needed from about 2040 onwards. Sifting through the multiple combinations and configurations of technologies that are, and will become available over the coming 30 years will be an on-going activity. In this context, a key recent development is an understanding of the need to complement conventional energy modelling with the tools of System Architecture. In addition, there is an ongoing need to evaluate and marshal evidence to establish what works and why, and to enhance learning-by-doing by bridging the gaps between research, innovation and communities of practice.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.


2016 ◽  
Vol 136 (1) ◽  
pp. 63-71
Author(s):  
Ryouhei Kitagawa ◽  
Teruo Takagi ◽  
Koichi Yokoi ◽  
Kimihiko Shimomura ◽  
Atsushi Harada ◽  
...  

2020 ◽  
Author(s):  
Gilles Mpembele ◽  
Jonathan Kimball

<div>The analysis of power system dynamics is usually conducted using traditional models based on the standard nonlinear differential algebraic equations (DAEs). In general, solutions to these equations can be obtained using numerical methods such as the Monte Carlo simulations. The use of methods based on the Stochastic Hybrid System (SHS) framework for power systems subject to stochastic behavior is relatively new. These methods have been successfully applied to power systems subjected to</div><div>stochastic inputs. This study discusses a class of SHSs referred to as Markov Jump Linear Systems (MJLSs), in which the entire dynamic system is jumping between distinct operating points, with different local small-signal dynamics. The numerical application is based on the analysis of the IEEE 37-bus power system switching between grid-tied and standalone operating modes. The Ordinary Differential Equations (ODEs) representing the evolution of the conditional moments are derived and a matrix representation of the system is developed. Results are compared to the averaged Monte Carlo simulation. The MJLS approach was found to have a key advantage of being far less computational expensive.</div>


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