• Energy Research

Η τελική κατανάλωση ενέργειας περιλαμβάνει όλη την ενέργεια που παρέχεται στην πόρτα του τελικού καταναλωτή (στη βιομηχανία, τις μεταφορές, τα νοικοκυριά και άλλους τομείς) για όλες τις ενεργειακές χρήσεις. Εξαιρούνται οι παραδόσεις για μετατροπή ή/και ιδία χρήση των βιομηχανιών παραγωγής ενέργειας, καθώς και οι απώλειες δικτύου. Ο πίνακας αυτός παρουσιάζει τη συνολική τελική κατανάλωση ενέργειας (προϊόν 0000 — Όλα τα προϊόντα) και την κατανάλωση ενέργειας ενός επιλεγμένου αριθμού προϊόντων ή ομάδων προϊόντων. La consommation finale d'énergie représente l'ensemble de l'énergie livrée aux consommateurs finals (dans l'industrie, le transport, les ménages et d'autres secteurs), toutes utilisations confondues. Elle exclut les livraisons pour transformation et/ou l'autoconsommation des industries productrices d'énergie ainsi que les pertes de réseau. Cette table présente la consommation finale totale d'énergie (product 0000 - Tous produits) ainsi que la consommation d'un sous-ensemble de produits ou groupes de produits. A végsőenergia-fogyasztás magában foglalja a végső fogyasztó ajtajához szállított összes energiát (az iparban, a közlekedésben, a háztartásokban és más ágazatokban) valamennyi energiafelhasználásra. Nem foglalja magában az energiatermelő iparágak átalakítására és/vagy saját használatára irányuló szállításokat, valamint a hálózati veszteségeket. Ez a táblázat a teljes végső energiafogyasztást (0000 termék – Minden termék) és egy kiválasztott termék vagy termékcsoport energiafogyasztását mutatja be. Der energetische Endverbrauch umfasst die für energetische Verwendungszwecke an die Endverbraucher (in Industrie, Verkehr, privaten Haushalten und anderen Sektoren) gelieferten Energiemengen. Ausgeschlossen sind die zur Umwandlung und/oder für den Eigenverbrauch der Energieerzeuger gelieferten Mengen sowie die Netzverluste. Diese Tabelle zeigt die gesamten Energieendverbrauch (Produkt 0000 - Alle Produkte) und den Energieverbrauch nach einer ausgewählten Anzahl von Produkten oder Produktgruppen. Il-konsum finali tal-enerġija jinkludi l-enerġija kollha mwassla sal-bieb tal-konsumatur finali (fl-industrija, it-trasport, id-djar u setturi oħra) għall-użi kollha tal-enerġija. Dan jeskludi l-konsenji għat-trasformazzjoni u/jew l-użu proprju tal-industriji li jipproduċu l-enerġija, kif ukoll it-telf tan-netwerk. Din it-tabella tippreżenta l-konsum totali finali tal-enerġija (il-prodott 0000 — Il-prodotti kollha) u l-konsum tal-enerġija ta’ għadd magħżul ta’ prodotti jew gruppi ta’ prodotti. Áirítear le tomhaltas deiridh fuinnimh an fuinneamh go léir a sheachadtar chuig doras an tomhaltóra deiridh (sa tionscal, san iompar, i dteaghlaigh agus in earnálacha eile) le haghaidh gach úsáide fuinnimh. Eisiatar ann seachadtaí le haghaidh claochlú agus/nó úsáid féin a bhaint as na tionscail táirgthe fuinnimh, chomh maith le caillteanais líonra. Léirítear sa tábla seo an tomhaltas fuinnimh deiridh iomlán (táirge 0000 — Gach táirge) agus ídiú fuinnimh líon áirithe táirgí nó grúpaí táirgí. Il consumo finale di energia comprende tutta l'energia fornita alla porta del consumatore finale (nel settore, nei trasporti, nelle famiglie e in altri settori) per tutti gli usi energetici. Esclude le consegne per la trasformazione e/o l'uso proprio delle industrie produttrici di energia, nonché le perdite di rete. Questa tabella presenta il consumo totale di energia finale (prodotto 0000 — Tutti i prodotti) e il consumo energetico di un numero selezionato di prodotti o gruppi di prodotti. El consumo final de energía incluye toda la energía entregada a la puerta del consumidor final (en la industria, el transporte, los hogares y otros sectores) para todos los usos energéticos. Excluye las entregas para transformación o uso propio de las industrias productoras de energía, así como las pérdidas de red. Este cuadro presenta el consumo final total de energía (producto 0000 — Todos los productos) y el consumo de energía de un número seleccionado de productos o grupos de productos. Zużycie energii końcowej obejmuje całą energię dostarczaną do drzwi odbiorców końcowych (w przemyśle, transporcie, gospodarstwach domowych i innych sektorach) dla wszystkich zastosowań energii. Nie obejmuje dostaw w celu przekształcenia i/lub własnego wykorzystania przemysłu produkującego energię, a także strat sieciowych. W tabeli przedstawiono całkowite zużycie energii końcowej (produkt 0000 – Wszystkie produkty) oraz zużycie energii przez określoną liczbę produktów lub grup produktów. Крайното потребление на енергия включва цялата енергия, доставена до вратата на крайния потребител (в промишлеността, транспорта, домакинствата и други сектори) за всички видове потребление на енергия. Тя изключва доставките за преобразуване и/или собствено използване на енергопроизводителите, както и загубите в мрежата. Тази таблица представя общото крайно потребление на енергия (продукт 0000 — Всички продукти) и потреблението на енергия на избран брой продукти или продуктови групи.

This research presents the modelling and design of a solid-state transformer (SST) for smart energy, by scrutinizing and analyzing the problems associated with Low-Frequency Transformers (LFT) and presenting the SST as a model and solution in the smart energy system.The behaviour of the SST in dynamic conditions that is suitable to a smart energy system was carried out, through the analysis of the SST vital components (converters) and their parameters which should be designed first. This is done by an erudite mathematical analysis, culminating in various equations representing their behaviour, function, and their ratings. The required voltage, current and power rating of each component is represented by corresponding equations that unveils the impedance matching requirement, ensures that maximum power is transferred between connecting components of the SST in the smart energy system. The components of the SST analyzed include the Cascaded Hybrid Bridge (CHB) converter which converts AC to DC and connects to the Dual Active Bridge (DAB) through a DC link capacitor. The DAB is another converter that uses a high frequency transformer situated in between the DC - DC and transforms DC/AC to AC/DC, while ensuring galvanic isolation in the SST high voltage side and low voltage side, and it links to the Three Phase Four Leg (3P4L) converter through a DC link capacitor. The 3P4L DC/AC converter links the SST to the load or grid. The equations, mathematical functions, and algorithms developed in this study will help in the design of converters DC links, and the combinations of these components culminating in the design of the SST.To assist in retrieving the converters filter parameters, the algorithms are written in simple but engineering and mathematical problem-solving centered methodology, for easy implementation in the various programming language. The efficiency analyses of the SST are performed using the POET framework. The verification, modelling and design are done using MATLAB Simulink. Hence, the potential use or applications of SST as a component of a power grid, modern house, and smart energy is unveiled.The research ethical reference number: 2021FEBEREC-STD-109

Ethics Ref#: 2023FEBEFREC-STD-041This dataset provides more information about the adopted IEEE 9 bus system. This power system network comes with the RSCAD simulation package under IEEE benchmark systems.

Demand response programs can bring many benefits to various stakeholders in the power industry. Among various participants in demand response programs, the commercial and industrial (C&I) customers can make a profound impact on power networks compared with the residential consumers. This project aims to solve some of the demand response challenges associated with C&I customers. More specifically, the challenges associated with demand response baseline calculations and back-up generator connections to the distribution grid are investigated in this project. This project will employ machine learning approaches to investigate and demonstrate its potential to improve demand response baselines, and will also investigate the potential and/or barriers of using back-up generators of the C&I customers in demand response programs. Lastly, the project will explore the role of network tariffs in demand response programs which can incentivise the uptake of batteries. The expected project outcomes to C&I customers, distribution network service providers (DNSPs) and policymakers include; • Demonstrate the potential of machine learning approaches for demand response programs; • Unlocking the value of backup generators of their participation in demand response; • Identification of technical pathways to enable exporting capabilities from backup generators; • Demonstrate the potential of participation-based tariff to encourage C&I customers in demand response; • Feasibility analysis of participating in demand response program through battery installation.

Power distribution transformers have been prevalent in commercial building distribution systems since the inception of modern commercial electricity. Yet as more and more manufactures seek to improve transformer efficiencies by making changes to the design of the transformer itself, a fundamental concept may be overlooked - the impact transformer demand sizing has on power losses. When modern transformers are improperly sized for the application they will be installed for they are not being utilized at their optimum design loading range, which may impact operating efficiency. This thesis will aim to test and evaluate modern day transformer design coupled with currently adopted energy efficiency standards and their effectiveness in conjunction with code required sizing restrictions. The evaluation will collect general transformer loading percentage data from commercial power, higher education campuses, as well as specific transformer operating characteristics from actual installed transformers. This information will be further investigated to determine how various load size and type alter the system efficiency and loaded power losses. The computer program Pspice will be used for modeling and simulated calculations while applicable energy and safety codes will be the references for transformer specifications and operating characteristics.

This book is the result of extensive research carried out within the scope of the R&D project entitled “Development of Technical and Institutional Arrangements for the Use of Biogas, through the Generation of Electric Energy, from Urban Solid Waste”, selected, among others, by Aneel in Call No. 014/2012. It makes an important contribution to the dissemination of this knowledge in the country, serving technicians and managers, notably the public. Thus, the book becomes an important instrument for those who want to learn about the entire process of origin, collection, disposal and exploitation of MSW, as well as the national industrial capacity and the related policies associated with these processes. This work is one of the results of the Strategic R&D Project No. 014/2012: “Technical and Commercial Arrangements for the Inclusion of Electricity Generation from Biogas from Waste and Liquid Effluents in the Brazilian Energy Matrix”. Participating Companies: ENELCEMIGCorumbá Concessões S.A.Foz do Chapecó Energia S.A.EMAE Funding: National Electric Energy Agency (ANEEL, Brazil)

Please refer to the data article where the data is described (Data-in-brief, under review 2024). The data article refers to the paper "A method for generating complete EV charging datasets and analysis of residential charging behaviour in a large Norwegian case study". The Electric Vehicle (EV) charging dataset includes detailed information on plug-in times, plug-out times, and energy charged for over 35,000 residential charging sessions, covering 267 user IDs across 12 locations within a mature EV market in Norway. Utilising methodologies outlined in the paper, realistic predictions have been integrated into the datasets, encompassing EV battery capacities, charging power, and plug-in State-of-Charge (SoC) for each EV-user and charging session. In addition, hourly data is provided, such as energy charged and connected energy capacity for each charging session. The comprehensive dataset provides the basis for assessing current and future EV charging behaviour, analysing and modelling EV charging loads and energy flexibility, and studying the integration of EVs into power grids.

This upload contains the input data necessary to run the fundamental power market model pommesinvest. Usage The data has to be copied into the "./inputs" folder of pommesinvest and unpacked there. See the description of pommesinvest on how to execute the model. Background Data has been complied by executing pommesdata which is the associated data preparation routine resp. its main script with default settings.

This upload contains the input data necessary to run a workflow applying the agent-based power market model AMIRIS in order to study the impact of power tariffs design on demand response profitability. Usage The data has to be copied into the "./inputs/data/" folder of the demand response analyses workflow and unpacked there. See the description of the workflow on the dependencies how to execute the model. Important note: You will need a version of AMIRIS that is not yet open source and contains the demand response implementation. Feel free to contact the author of this data set in order to request it. Also, you will need a solver, such as Gurobi or CPLEX for instance. Background Data has been obtained from previous pommesinvest model runs. It has been put together by executing a data converter script from the pommesevaluation repository that compiles the inputs into a format understood by AMIRIS, thus allowing for a soft model coupling (sequential execution) with full input harmonization.