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Denes Csala
Dénes is a newly appointed lecturer (assistant professor) in Energy Storage Systems Dynamics with Energy Lancaster, pursuing the establishment of a living lab on the Lancaster University campus - to study, model, predict and validate the dynamics of energy systems with storage.
His research interests include system dynamics, energy transitions, energy storage, complex systems, multi-agent systems and data visualization.
Dénes' previous work revolved around data science and simulation modeling to study problems of sustainable energy transitions and biophysical economics, where he developed global and national climate-compliant decarbonization paths. His data analyses and visualizations balance on the fine line between work and hobby and he has participated in, organized and led educational workshops on sustainability and renewable energy across developing regions in Asia and Africa. He also leads the datactivism blog Try something new. Everyday., exploring topics in development through data analysis and visualization.
Hungarian by origin, Dénes was born and raised in Transylvania, Romania and obtained a BSc in Electrical Engineering from the Technical University of Cluj-Napoca (2011). Later on, he moved to Masdar Institute of Science and Technology in Abu Dhabi to pursue an MSc in Engineering Systems & Management (2013) and continued for a PhD in Interdisciplinary Engineering (2016), both in collaboration with Massachusetts Institute of Technology. In 2014 he was a visting researcher at the Center for Collective Intelligence of MIT Sloan School of Management, working on the Climate CoLab project.
Dénes also believes that it is not only the quality of the research that matters but also the quality of the presentation - placing therefore great emphasis on data visualization and story-telling with data.
Supervisors: Sgouris Sgouridis and Dan Doru Micu
Phone: +971556183205
Address: Abu Dhabi
His research interests include system dynamics, energy transitions, energy storage, complex systems, multi-agent systems and data visualization.
Dénes' previous work revolved around data science and simulation modeling to study problems of sustainable energy transitions and biophysical economics, where he developed global and national climate-compliant decarbonization paths. His data analyses and visualizations balance on the fine line between work and hobby and he has participated in, organized and led educational workshops on sustainability and renewable energy across developing regions in Asia and Africa. He also leads the datactivism blog Try something new. Everyday., exploring topics in development through data analysis and visualization.
Hungarian by origin, Dénes was born and raised in Transylvania, Romania and obtained a BSc in Electrical Engineering from the Technical University of Cluj-Napoca (2011). Later on, he moved to Masdar Institute of Science and Technology in Abu Dhabi to pursue an MSc in Engineering Systems & Management (2013) and continued for a PhD in Interdisciplinary Engineering (2016), both in collaboration with Massachusetts Institute of Technology. In 2014 he was a visting researcher at the Center for Collective Intelligence of MIT Sloan School of Management, working on the Climate CoLab project.
Dénes also believes that it is not only the quality of the research that matters but also the quality of the presentation - placing therefore great emphasis on data visualization and story-telling with data.
Supervisors: Sgouris Sgouridis and Dan Doru Micu
Phone: +971556183205
Address: Abu Dhabi
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Replacing internal-combustion vehicles with electric cars would reduce Germany's primary energy needs by 60%, from about 570 terawatt-hours (TWh) to about 230 TWh (detailed calculations available from the authors). However, the government's brake on renewables, mainly to protect stability of the electricity grid, means that only 63 TWh will come online by 2030 (see also Nature 534, 152; 2016). Making up the deficit with electricity generated by burning natural gas would create 131 million tonnes of carbon dioxide, which would still save 30 million tonnes on 2014 road-transport emissions.
To decarbonize its transport sector entirely — and to meet the shortfall under its plan to phase out nuclear energy by 2030 — Germany will need to step up production of renewable energy and develop smart storage grids.
government.
serious concern because it can result in electric shock and can threaten the integrity of the utility lines. In Chapter 2, a new interpretation and method is presented for constructing and attaching an equivalent electric circuit to the electromagnetic coupling problem. A 3D circuit is chosen as it is considered to be more representative and thus easier to understand. In Chapter 3 simplified methods of capacitance calculation are presented. All of these methods have theoretical bases centered around Maxwell’s Potential Coefficients. In Chapter 4 more advanced methods of capacitance calculation are presented that do take into account the not ideal permittivity and conductivity of earth. Various approaches of different authors a few new suggestions are discussed. Chapter 5 concentrates on finite element analyses of certain cases and comparison of the results with those obtained by previous researchers. Moreover, a transitory analysis is performed for the event of a human touch on a pipeline."
point out their differences. Further we analyze consumption and production-based emissions across different income bands and study the scale of CO2 emissions by the world’s billionaires. Finally we study and compare over a range of existing offset programs and assess the offset options that they offer.
Replacing internal-combustion vehicles with electric cars would reduce Germany's primary energy needs by 60%, from about 570 terawatt-hours (TWh) to about 230 TWh (detailed calculations available from the authors). However, the government's brake on renewables, mainly to protect stability of the electricity grid, means that only 63 TWh will come online by 2030 (see also Nature 534, 152; 2016). Making up the deficit with electricity generated by burning natural gas would create 131 million tonnes of carbon dioxide, which would still save 30 million tonnes on 2014 road-transport emissions.
To decarbonize its transport sector entirely — and to meet the shortfall under its plan to phase out nuclear energy by 2030 — Germany will need to step up production of renewable energy and develop smart storage grids.
government.
serious concern because it can result in electric shock and can threaten the integrity of the utility lines. In Chapter 2, a new interpretation and method is presented for constructing and attaching an equivalent electric circuit to the electromagnetic coupling problem. A 3D circuit is chosen as it is considered to be more representative and thus easier to understand. In Chapter 3 simplified methods of capacitance calculation are presented. All of these methods have theoretical bases centered around Maxwell’s Potential Coefficients. In Chapter 4 more advanced methods of capacitance calculation are presented that do take into account the not ideal permittivity and conductivity of earth. Various approaches of different authors a few new suggestions are discussed. Chapter 5 concentrates on finite element analyses of certain cases and comparison of the results with those obtained by previous researchers. Moreover, a transitory analysis is performed for the event of a human touch on a pipeline."
point out their differences. Further we analyze consumption and production-based emissions across different income bands and study the scale of CO2 emissions by the world’s billionaires. Finally we study and compare over a range of existing offset programs and assess the offset options that they offer.
and solving the electric circuit associated with an
electromagnetic interference problem. A 3 dimensional
approach was used to geometrically represent the equivalent
electrical circuit. Then, the emerging properties of this new
structure were used to perform a mathematical solution
analysis. The presented methodology might provide an easier
understanding of the problem as it is closely coupled with the
geometrical interpretation. The resultant mathematical structure
is fully comprehensive and valid for the most general cases. It is
also robust, not needing redesign in case of changes in geometry
of the interfering electrical system. At this point only the
graphical and mathematical representation and description of
the problem is presented, exact circuit solution is not addressed
and represents the topic of further research"
designs: electronically switched stacked grids, respectively grids at different potentials, situated at a very short distance from each
other.
Scopul acestei lucrări este modelarea analitică și numerică a câmpului electric dintre grilele unui propulsor cu ioni. Sunt
testate mai multe configurații de grile. Obiectivul principal este studierea posibilității obținerii unor viteze de evacuare imbunătățite, prin diferite metode inedite: grile înșiruite comutate electronic, respectiv grile la potențiale diferite, situate la o distanță foarte mică unul de celălalt.
Presented at:
National Student Conference, special prize: Tech. Un., Cluj-Napoca, May 2011
Această lucrare se bazează pe un proiect în derulare, o investiție care urmărește crearea unei capacități energetice de producere a energiei electrice cu panouri fotovoltaice. Se studiază factorile de calitate a energiei electrice produse de un panou fotovoltaic. S-au efectuat măsurători ale parametrilor de calitate a energiei pe un stand experimental compus dintr-un panou fotovoltaic, un regulator electronic, o baterie și un invertor de putere. Rezultatele măsurătorilor au fost analizate și comparate cu cerințele standardelor în vigoare.
Presented at:
National Student Conference, special prize: Sesiunea Cercurilor Științifice Studențești, Tech. Un., Cluj-Napoca, May 2010"
Part 2: This paper presents a neural networks approach to the electromagnetic interference problems between high voltage overhead lines and buried metallic pipelines. The first part of the paper introduced some general neural network concepts and a Matlab implementation. This second part deals a case study and the results gained with neural networks. The obtained solutions are compared to finite element ones.
Presented at:
National Student Conference, 1st prize: Zilele Tehnice Studențești, Politehnica U, Faculty of El. Eng. Timișoara, May 2009
National Student Conference, 1st prize: Sesiunea Cercurilor Științifice Studențești, Technical U, Cluj-Napoca, May 2009
Presented at:
International Student Conference, 1st prize: Zilele Academice Timișene, Politehnica University, Faculty of Mechanics, Timișoara, ROMANIA, May 2009
National Student Conference, 2nd prize: StudING, Universitatea Constantin Brâncuși, Târgu Jiu, April 2009
National Student Conference, 3rd prize: Zilele Tehnice Studențești, Politehnica University, Faculty of Electrical Engineering Timișoara, May 2009