scholarly journals Development of a Tool to Analyze the Economic Viability of Energy Communities

2021 ◽  
Vol 6 ◽  
pp. 28
Author(s):  
Fernando Carreras ◽  
Gerald Steinmaurer
Keyword(s):  
Smart Grids ◽  
Economic Viability ◽  
Test Case ◽  
Computational Tools ◽  
Energy Flows ◽  
Global Cost ◽  
Trade Prices ◽  
Operative Costs ◽  
Austrian Law ◽  
Effective Analysis

Energy Communities (EC) are an instrument to improve the efficiency and autarky of Smart Grids by increasing the local consume of the energy locally produced. Energetic (energy flows, CO2 emissions) and economic (operative costs, acquisition and maintenance of technologies) aspects of all components of the EC must be evaluated to quantify the participation of the EC to achieve the proposed goal. Effective analysis of EC must account for numerous complexities and uncertainties, requiring advanced computational tools. The main contribution of this paper is the introduction of a software package to analyze the viability of ECs focused on the particularities imposed by the new Austrian law for renewable energies, which optimizes the energy flows between all participants. The results of the test case show more than a 14.2% reduction of global cost. At the same time, all participants achieve better results operating inside of the EC than alone. The range of cost reductions varies between 2.75% and 51%. The spread of these reductions opens a question about a fair and optimal way to set trade prices inside of the EC for future works.

scholarly journals AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics

2020 ◽  
Vol 36 (9) ◽  
pp. 2943-2945 ◽  
Author(s):  
Francisco Madrid-Gambin ◽  
Sergio Oller-Moreno ◽  
Luis Fernandez ◽  
Simona Bartova ◽  
Maria Pilar Giner ◽  
...  
Keyword(s):  
Signal Processing ◽  
Statistical Analysis ◽  
Processing System ◽  
R Package ◽  
Supplementary Information ◽  
Test Case ◽  
Previous Knowledge ◽  
Spectral Processing ◽  
Computational Tools ◽  
User Friendly

Abstract Summary Nuclear magnetic resonance (NMR)-based metabolomics is widely used to obtain metabolic fingerprints of biological systems. While targeted workflows require previous knowledge of metabolites, prior to statistical analysis, untargeted approaches remain a challenge. Computational tools dealing with fully untargeted NMR-based metabolomics are still scarce or not user-friendly. Therefore, we developed AlpsNMR (Automated spectraL Processing System for NMR), an R package that provides automated and efficient signal processing for untargeted NMR metabolomics. AlpsNMR includes spectra loading, metadata handling, automated outlier detection, spectra alignment and peak-picking, integration and normalization. The resulting output can be used for further statistical analysis. AlpsNMR proved effective in detecting metabolite changes in a test case. The tool allows less experienced users to easily implement this workflow from spectra to a ready-to-use dataset in their routines. Availability and implementation The AlpsNMR R package and tutorial is freely available to download from http://github.com/sipss/AlpsNMR under the MIT license. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Ethernet-based monitoring systems for renewable energy-hydrogen microgrids

2021 ◽  
pp. 190-196
Author(s):  
Antonio José Calderón Godoy ◽  
Isaías González Pérez ◽  
José María Portalo Calero ◽  
Manuel Calderón Godoy
Keyword(s):  
Power Systems ◽  
Smart Grids ◽  
Successful Implementation ◽  
Industrial Facilities ◽  
Energy Flows ◽  
Share Data ◽  
Experimental Facilities ◽  
Decentralized Energy ◽  
Office Environments ◽  
Monitoring Software

The digitization of power systems has given birth to the rise of challenging scenarios like Smart Grids and Smart Microgrids. These infrastructures are mainly based in decentralized energy generation as well as in the intelligent management of the energy flows and data communications. For their successful implementation, a communication network is imposed for the proper data transmission between the vast amount of sensors, controllers and supervisory nodes involved. Ethernet-based networks have become the prevalent means for communications in office environments and are being increasingly applied also for industrial facilities. Consequently, Smart Grids and Smart Microgrids are also being equipped with Ethernet communication. This paper presents an Ethernetbased monitoring system architecture where monitoring software, proprietary automation hardware and open-source equipment share data over an Ethernet network. A set of experimental facilities are reported in order to prove the validity of the proposal.

scholarly journals AUTONOMOUS POWER SUPPLY SYSTEMS WITH RENEWABLE SOURCES OF ENERGY AND SMART GRID

2018 ◽  
Vol 20 (5-6) ◽  
pp. 3-12
Author(s):  
L. M. Chetoshnikova ◽  
N. I. Smolentsev ◽  
S. A. Chetoshnikov ◽  
G. V. Gusarov
Keyword(s):  
Mathematical Modeling ◽  
Power Supply ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Autonomous Systems ◽  
Energy Sources ◽  
High Quality ◽  
Modeling Methods ◽  
Energy Flows ◽  
Supply Systems

The use of modern devices and technologies in power supply systems will provide consumers with high-quality energy. Especially effective in this direction will be the construction of autonomous systems using renewable energy sources and local smart grids. The coordinated work of all elements of systems and optimal control of energy flows is solved by mathematical modeling methods.

scholarly journals Economic Viability of Renewable Energy Communities under the Framework of the Renewable Energy Directive Transposed to Austrian Law

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5743 ◽  
Author(s):  
Bernadette Fina ◽  
Hans Auer
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Cost Savings ◽  
Economic Viability ◽  
Pv System ◽  
Pv Systems ◽  
Energy Community ◽  
Additional Support ◽  
Electricity Transfer ◽  
Austrian Law

This study is concerned with the national transposition of the European Renewable Energy Directive into Austrian law. The objective is to estimate the economic viability for residential customers when participating in a renewable energy community (REC), focused on PV electricity sharing. The developed simulation model considers the omission of certain electricity levies as well as the obligatory proximity constraint being linked to grid levels, thus introducing a stepwise reduction of per-unit grid charges as an incentive to keep the inner-community electricity transfer as local as possible. Results show that cost savings in residential RECs cover a broad range from 9 EUR/yr to 172 EUR/yr. The lowest savings are gained by customers without in-house PV systems, while owners of a private PV system make the most profits due to the possibility of selling as well as buying electricity within the borders of the REC. Generally, cost savings increase when the source is closer to the sink, as well as when more renewable electricity is available for inner-community electricity transfer. The presence of a commercial customer impacts savings for households insignificantly, but increases local self-consumption approximately by 10%. Despite the margin for residential participants to break even being narrow, energy community operators will have to raise a certain participation fee. Such participation fee would need to be as low as 2.5 EUR/month for customers without in-house PV systems in a purely residential REC, while other customers could still achieve a break-even when paying 5 EUR/month to 6.7 EUR/month in addition. Those results should alert policy makers to find additional support mechanisms to enhance customers’ motivations to participate if RECs are meant as a concept that should be adopted on a large scale.

Computer aided assessment and optimization of catalyst fast light-off techniques

1997 ◽  
Vol 211 (1) ◽  
pp. 21-37 ◽  
Author(s):  
P. A. Konstantinidis ◽  
G. C. Koltsakis ◽  
A. M. Stamatelos
Keyword(s):  
Optimization Procedure ◽  
Cost Effective ◽  
The United States ◽  
Test Case ◽  
The European Union ◽  
Computational Tools ◽  
Car Industry ◽  
Effective Manner ◽  
Computer Aided ◽  
Fast Light

Strict future legislation standards are forcing the car industry to employ new techniques for reducing exhaust gas emissions. Most of these techniques focus on accelerating the appearance of catalyst light-off and are thus called fast light-off techniques (FLTs). Optimized exhaust systems comprising FLTs will be able to meet the forthcoming legislation standards for the United States [low emissions vehicle (LEV) and ultra-low emissions vehicle (ULEV)] and the European Union (Stage III). The most promising active and passive FLT systems are briefly reviewed. Computer aided optimization of such systems can be realized with the help of specific computational tools, which are briefly presented in this paper, and according to a concept optimization methodology, which is also discussed. The results indicate an increased sensitivity of FLT systems’ performance over the selected values of certain design and operating parameters that were featured in the examples presented. Moreover, by comparing the computational results with knowledge gained from experiments and testing, the paper indicates that, given the suitable computational tools, the optimization procedure can take place in a most cost-effective manner by substituting many experiments with computer test case runs.

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