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.


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


  • PhD in Chemical Engineering, 2012

    National Technical University of Athens

  • Diploma in Chemical Engineering, 2005

    National Technical University of Athens



Scientific project officer

European Commission, Joint Research Centre

Sep 2014 – Aug 2020 Petten, Netherlands

Scientific and technical research; techno-economic analysis; modelling and studies on various energy system technologies and policies

  • Prepare and implement scientific research, analyses and studies, including modelling. Write scientific publications
  • Monitor, analyse and report - regularly and in timely fashion the role of heating and cooling in EU internal market
  • Energy and climate data management and analysis
  • Advise policy officers on ad-hoc issues for implementing and updating the Energy Efficiency and Renewable Energy Directive.

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. Development of ML wear prediction model.


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 applications of nuclear energy: Desalination, district heating, hydrogen production. Technoconomic analysis.


International Atomic Energy Agency

Sep 2009 – Dec 2009 Vienna, Austria
Review and evaluate IAEA’s “Desalination Economic Evaluation Program (DEEP)”.

Freelancer - Researcher

National Technical University of Athens

Jul 2005 – Jan 2009 Athens, Greece
  • Energy audits (industry, hospitals)
  • Feasibility studies for installation of mid scale cogeneration plants.
  • Techno-economic assessment of high-technology equipment. Licensing procedures for 3299/04 investment law.
  • Consultant on various “European Operational Programme: Information Society” projects
  • Minor shareholder in 2 photovoltaic investment companies with a total portfolio of licensed capacity of 17 MWp. Plant design, techno-economical feasibility, environmental impact studies. Conduct 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.
(2021). The decarbonisation of the EU heating sector through electrification: A parametric analysis. Energy Policy.


(2020). Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables. Energies.


(2020). Wind and other CO2-free assets replacing coal in 2030.


(2020). Cogeneration Economics for Greenhouses in Europe. Energies.


(2020). The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models. Applied Energy.


Scientific software

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



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 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.


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.


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 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.


Energy prosumer analysis with python