scholarly journals Development of Scenarios for a Multi-Model System Analysis Based on the Example of a Cellular Energy System

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 773 ◽  
Author(s):  
Matthias Kühnbach ◽  
Felix Guthoff ◽  
Anke Bekk ◽  
Ludger Eltrop
Keyword(s):  
System Analysis ◽  
Energy System ◽  
Model System ◽  
Added Value ◽  
Cellular Energy ◽  
Quantitative Parameters ◽  
Points Of View ◽  
Consistent Basis ◽  
Model Environment ◽  
Energy Pathways

Scenario analysis combined with system and market modelling is a well-established method to evaluate technological and societal developments and their impacts on future energy pathways. This paper presents a process-oriented method for developing consistent energy scenarios using multiple energy system models. Its added value is that the developed energy scenarios are consistent in a multi-model environment and practicable for a broader target group from scientists to practitioners. The scenarios consist of comprehensive storylines and systematically defined quantitative parameters. Following a step-by-step process, a condensed set of overlapping descriptors is generated and used to define the scenarios in a consistent parameter matrix. The set of descriptors allow consistent and comparable outputs independent of model-specific characteristics. The corresponding quantitative parameters can be used by diverse energy system tools. Using multiple models, a team of researchers can explore questions from differing points of view. In an example study, we apply the method to develop scenarios in the context of a cellular energy system. This approach enables the development of scenarios that provide a consistent basis for both stakeholder discourse and multi-model system analysis.

Analyzing the production and economic indicators of Russia's largest iron and steel works

2020 ◽  
Vol 19 (8) ◽  
pp. 1531-1550
Author(s):  
N.N. Yashalova ◽  
I.L. Ryabkov
Keyword(s):  
Russian Federation ◽  
System Analysis ◽  
Foreign Market ◽  
Domestic Market ◽  
Economic Indicators ◽  
Added Value ◽  
Current Status ◽  
Economic Activities ◽  
Iron And Steel ◽  
The Russian Federation

Subject. We investigate trends in the development of the largest steel companies in the Russian Federation. Objectives. The aim of the study is to conduct an industry-wide analysis of the production and economic activities of the largest domestic enterprises operating in the iron and steel industry. Methods. The study employs methods of comparative and system analysis, graphical and statistical methods for data processing. Results. We present the analysis of main production and economic indicators of the leading steel producers of the Russian Federation, i.e. NLMK, Severstal, MMK, and EVRAZ. The paper reveals their current status and key development trends. Conclusions. The largest Russian steel companies face serious challenges in both the domestic and foreign market. Competitive interactions in the domestic market as to the sale price of rolled metal and the share of presence are particularly sensitive. The threat of reduced supplies to export markets is also significant for Russian steel producers. It may entail insufficient utilization of capacities and potential loss of added value. The companies mainly export semi–finished goods and hot-rolled flat products, i.e. low-added value products. Products with high added value are usually delivered to the domestic market.

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 Contextualization of the Bioeconomy Concept through Its Links with Related Concepts and the Challenges Facing Humanity

2021 ◽  
Vol 13 (14) ◽  
pp. 7746
Author(s):  
Leire Barañano ◽  
Naroa Garbisu ◽  
Itziar Alkorta ◽  
Andrés Araujo ◽  
Carlos Garbisu
Keyword(s):  
Environmental Economics ◽  
Green Economy ◽  
Added Value ◽  
Economic Activities ◽  
Biological Resources ◽  
Beneficial Effects ◽  
The Core ◽  
Points Of View ◽  
Broad Interpretation ◽  
Shed Light

The concept of bioeconomy is a topic of debate, confusion, skepticism, and criticism. Paradoxically, this is not necessarily a negative thing as it is encouraging a fruitful exchange of information, ideas, knowledge, and values, with concomitant beneficial effects on the definition and evolution of the bioeconomy paradigm. At the core of the debate, three points of view coexist: (i) those who support a broad interpretation of the term bioeconomy, through the incorporation of all economic activities based on the production and conversion of renewable biological resources (and organic wastes) into products, including agriculture, livestock, fishing, forestry and similar economic activities that have accompanied humankind for millennia; (ii) those who embrace a much narrower interpretation, reserving the use of the term bioeconomy for new, innovative, and technologically-advanced economic initiatives that result in the generation of high-added-value products and services from the conversion of biological resources; and (iii) those who stand between these two viewpoints. Here, to shed light on this debate, a contextualization of the bioeconomy concept through its links with related concepts (biotechnology, bio-based economy, circular economy, green economy, ecological economics, environmental economics, etc.) and challenges facing humanity today is presented.

scholarly journals The differences in energy system demands of competitive male tennis play between fast and slow courts

2019 ◽  
Vol 27 (79) ◽  
pp. 11-14
Author(s):  
Аnna Skorodumova ◽  
Igor Baranov
Keyword(s):  
Lactic Acid ◽  
High Performance ◽  
Energy Use ◽  
Energy System ◽  
Analysis Data ◽  
Significant Difference ◽  
Playing Time ◽  
Acid Pathway ◽  
Motor Density ◽  
Energy Pathways

This study investigated the energy system demand differences between matches played on fast courts and on slow courts of high-performance male players. Matches of Grand Slam matches played by Russian players were analysed. External indicators as such in-point playing time as a proportion of total match time were used to conduct the analysis. Data analysis found significant differences in all measured external indicators such as average match playing time, number of points and in-point time. Results also found a significant difference between match motor density (the percentage of total match time that made up effective playing time) for the two surface types, with the slow surface (clay) match motor density being significantly higher than that of the fast surface (grass and hard court), 14.5% and 12.9%, respectively. Subsequent analysis of point length reveals clay courts that slow courts had a significantly higher percentage of points that lasted more than 10 seconds whilst fast courts has a higher percentage of points under 10 seconds in length. It can be concluded that due to the length of the points, tennis primarily employs the ATP-PCr energy system for energy use, dipping into the anaerobic lactic acid energy pathways more on clay court matches. Whilst the aerobic pathways are not employed heavily in-point, they are still essential, possibly even more on clay court due to greater taxation on the anaerobic lactic acid pathway, as they provide the basis for ATP re-synthesis between points. This signals toward endurance as a major component of fitness in tennis.

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.

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