Kostas Kavvadias

Kostas Kavvadias

Scientific project officer, Energy Expert

European Commission, Joint Research Centre

I am an engineer working in the science and policy interface with a broad knowledge in energy technologies. My research interests include energy system analysis, process analysis and design, and data science application. I have demonstrated my strong analytical, modelling and problem-solving capabilities in numerous scientific publications and development of scientific software. I am a pleasant and open person to work with. I enjoy following the latest technological developments and how they are affecting the world we live in.

Interests

  • Energy modelling and system analysis
  • Heating and cooling
  • Renewables and energy efficiency
  • Physical Unit operations
  • Technoeconomics of energy technologies
  • Process and system analysis and design
  • Data science

Education

  • PhD in Chemical Engineering, 2012

    National Technical University of Athens

  • Diploma in Chemical Engineering, 2005

    National Technical University of Athens

Experience

 
 
 
 
 

Scientific project officer

European Commission, Joint Research Centre

Sep 2014 – Present Petten, Netherlands
Scientific and technical research; techno-economic analysis; modelling and studies on heating and cooling technologies and policies

  • Monitor, analyse and report - regularly and in timely fashion on heating and cooling sectoral issues
  • Follow-up, assess and report on approaches for assessing, including model-assisted, the role of heating and cooling in EU internal market
  • Advise policy officers on ad-hoc issues for implementing and updating the Energy Efficiency and Renewable Energy Directive.
  • Prepare and implement scientific research, analyses and studies, including modelling and write scientific publications
 
 
 
 
 

Soldier/Special Scientist

Military Service (compulsory)

May 2013 – Feb 2014 Megara, Greece
Compulsory military duties. I also served as a laboratory analyst and data manager performing statistical analysis and trends of helicopter wear. Use of Atomic Emission Spectrometer, Infrared Spectroscopy.
 
 
 
 
 

Consultant

International Atomic Energy Agency

Sep 2010 – Apr 2013 Vienna, Austria
Consultant in the Non Electric Applications of nuclear energy of the Nuclear Power Technology Development Section. Analysis of non electric application of nuclear energy: Desalination, district heating, hydrogen production. Technoconomic analysis.
 
 
 
 
 

Intern

International Atomic Energy Agency

Sep 2009 – Dec 2009 Vienna, Austria
Review and evaluate of IAEA’s “Desalination Economic Evaluation Program (DEEP)” from economical, thermodynamic, programming and modeling aspects.
 
 
 
 
 

Free lancer - Researcher

National Technical University of Athens

Jul 2005 – Jan 2009 Athens, Greece
  • Participate in energy auditing and planning of two big hospitals
  • Feasibility studies for installation of mid scale cogeneration plants.
  • Techno-economic assessment of high-technology equipment. Licensing procedures for 3299/04 investment law.
  • Technical support and studies for the project “Integrated Health Information System of the 3rd health Directorate of Attica perfecture”
  • Collaborator in the project “Services of Advisor of Technical Support in YEN projects” in the framework of the European Operational Programme “Information Society”
  • Minor shareholder in 2 photovoltaic investment companies with a total portfolio of licensed capacity of 17 MWp. Main task was to assist in the plant design, conduct all techno-economical feasibility and environmental impact studies and all necessary licensing procedures.
  • Internships: UNILEVER - ELAIS S.A. (2004); Foundry HALCOR S.A (2004); Copper Tubes HALCOR S.A (2003)

Recent Publications

Quickly discover relevant content by filtering publications.
(2020). Power system flexibility in a variable climate.

DOI

(2019). The operation of the European Power System in 2016.

PDF DOI

(2019). Combined cooling heating and power systems in greenhouses. Grassroots and retrofit design. Energy.

PDF DOI

(2019). Modeling the flexibility offered by coupling the heating sector and the power sector: an assessment at the EU level. 5th International Conference On Smart Energy Systems.

(2019). Modelling flexible power demand and supply in the EU power system: soft-linking between JRC-EU-TIMES and the open-source Dispa-SET model. Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems.

Scientific software

Below you can find a list of scientific softwares that I have developed or contributed during my professional career.

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Enlopy

enlopy is an open source python library with methods to generate, process, analyze, and plot energy related timeseries. While it can be used for any kind of data it has a strong focus on those that are related with energy i.

DEEP

DEEP can be used for performance and cost evaluation of various power and seawater desalination co-generation configurations. DEEP is suitable for comparison analysis among different plant types (steam, gas, combined cycle and heat only plants), different fuels (nuclear, oil, coal) and various desalination options including Multi-Effect Distillation (MED), Multi-Stage Flash (MSF), Reverse Osmosis (RO) and hybrid options.

DETOP

DE-TOP can be used to models the steam power cycle (Rankine cycle) of different water cooled reactors or fossil plants, and the coupling with any other non-electrical application such as desalination and district heating.

Dispa-SET

The Dispa-SET model is an open-source unit commitment and optimal dispatch model developed at the JRC. It focuses on the balancing and flexibility problems in the European power system. It is written in GAMS with advanced input/output data handling and visualization routines in Python.

WAMP

WAMP can be used for the estimation of water needs in power plants especially for water cooled nuclear power plants. The program estimates both the needs for cooling water and other essential systems.

Prosumpy

Energy prosumer analysis with python

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