PSDI

PSDI
Laboratory of Process Systems Design and Implementation

PSDI Laboratory of Process Systems Design and Implementation

Mission

The Laboratory of Process Systems Design and Implementation (PSDI) performs excellent world-class research and offers technological services to industry and other public and private entities. PSDI carries out research for the design and integration of renewable energy systems and devices for energy production and storage incorporating energy management strategies for autonomous and interconnected hybrid microgrids of renewable energy sources. Main research areas are materials & processes for electrochemical energy storage and conversion technologies, such as fuel cells and electrolyzers, electrochemical conversion of electricity into fuels and chemicals, and Li-ion batteries. This is also supported by integrated infrastructure for renewable hydrogen production. On the energy management technologies, the scheduling and interaction for optimal energy demand-supply, the design, optimization and control of microgrid topologies and sizing is investigated, targeting an optimal exploitation of renewable sources and exploration of optimal energy storage options using methods supported by mathematical models and advanced control methodologies. Based on the digital twinning concept works on developing powerful tools for the digital representation of microgrid and complex chemical processes by using high-fidelity models and simulation platforms as well as real-time bi-directional data exchange with the real twin. Data logged by industrial process monitoring are used to train Deep Learning algorithms and create robust models for complex problems.

Research focus

The main research of PSDI focus in Hybrid Energy Systems Design, distributed power generation for autonomy from conventional power sources, H2 production processes, fuel cell technologies for clean energy production, electrochemical reactors, alternative energy storage technologies, modeling, optimization, advanced automatic control and operation monitoring of complex process systems, development of generic computational tools for process and materials optimization and design, addressing the challenge of complex computations during optimization, extended in the implementation in pilot scale-studies. Implementation of Digital twins in design, control, forecasting, fault diagnosis, expansion planning, and policy-making. This focus has been extended in recent years in the implementation in pilot scale-studies of the design results attained by these tools.

Development of materials for energy production and storage, physicochemical/electrochemical characterization of components PEM fuel cells for power generation, electrolysis systems for hydrogen and other fuels/chemicals production and high energy density Li-ion batteries.

The computational focus of the group is extended further with tools for process and materials optimization and design, addressing the challenge of complex computations during optimization. The integration of all the above is implemented by design, optimization construction of large-scale pilot units in order to test and upscale new and alternative technological solutions for H2 production and energy storage.

Main scientific directions

  • The material research activity focuses on electrochemical processes and materials for energy storage and conversion technologies (Fuel Cells, Electrolysis, Lithium-ion batteries).
  • Advanced Computational Methods and Tools for optimum molecular design, Superstructure-based process synthesis, integrated molecular, process and control design, Incorporation of uncertainty quantification methods, artificial intelligence decision making techniques, exploitation of high- performance computing infrastructures.
  • Systems Integration focuses on design integration, construction and scaling up of Systems of industrial processes, H₂ production, CO₂ capture and exploitation, renewable energy, energy storage, process modelling and integration, process optimization and simulation and advanced methods of predictive control.
  • Digital Twins for supervisory monitoring, advanced process control and energy management of renewable energy grids and complex processes along with the technical implementation.
  • Artificial intelligence decision making techniques training Deep Learning algorithms and creating robust models for complex problems and Fault Detection from data logged by industrial process monitoring.

Projects & Activities

LEET, PSDI

LEILAC2

KOH.051016, 011230, 051017  

LEET, PSDI

Ephyra

KOH.011251, KOH.051068 

PSDI

Adrion Power Plus

PSDI

HiRECORD

/GA 101075727 

PSDI

CoCaCO2la

/MIS 5161503 

PSDI

EN Crop

/MIS 5136553 

Personnel

PSDI

Alexandridou Eirini Olga

PhD Candidate
, Environmental Engineer
PSDI

Athanasiou Kostas

Collaborating Faculty Member
, Professor
, Chemical Engineering Dept., DUTH
PSDI

Balomenou Stella

Member of SC, Researcher
, Research Director
, Chemical Engineer, PhD
PSDI

Bandi Angeliki

Collaborating Researcher PhD
, Chemical Engineer, MSc, PhD
PSDI

Bimpiri Naouma

Scientific Personnel
, Chemist
PSDI

Christoforidis Konstantinos

Collaborating Faculty Member
, Professor
, DUTH, Environmental Engineering Dept.
PSDI

Dourou Joanna

Scientific Personnel
, Chemical Engineer
PSDI

Drakaki Kleoniki

Scientific Personnel
, Chemical Engineer, MSc
PSDI

Farmaki Maria Eleftheria

Scientific Personnel
, Chemical Engineer, MSc
PSDI

Garagounis Ioannis

Scientific Personnel
, Chemical Engineer, PhD
PSDI

Georgiadis Michael

Collaborating Faculty Member
, Professor
, Chemical Engineering Dept.
PSDI

Georgiou Nikolaos

Scientific Personnel
, Electronic Engineer
PSDI

Giannakoudis Konstantinos

Scientific Personnel
, MSc, Technician, Technician
PSDI

Gkizas Georgios

Scientific Personnel
, Automation Engineer
PSDI

Gravanis Georgios

PhD Candidate
, Automation Engineer, MSc
PSDI

Kakabegas Akis

Scientific Personnel
, Industrial Informatics Engineer
PSDI

Kazepidis Panagiotis

PhD Candidate
, Chemical Engineer
PSDI

Kioulafas Stylianos

Scientific Personnel
, Chemical Engineer, MSc
PSDI

Konstantinidou Argiro

PhD Candidate
, Chemical Engineer
PSDI

Koutroulis Konstantinos

Scientific Personnel
, Computer Engineer

Publications

Poimenidis I., Papakosta N., Loukakos P., Marnellos G.E., Konsolakis M.

Highly efficient cobalt sulfide heterostructures fabricated on nickel foam electrodes for oxygen evolution reaction in alkaline water electrolysis cells

2023

Surfaces, 6, 493–508

Zouridi L., Vourros A., Garagounis J., Marnellos G.E., Binas V.

Solvent-free direct salt precursor mechanochemical synthesis of La0.5Sr0.5Ti0.5Mn0.5O3-δ oxide perovskite and its electrocatalytic behavior as oxygen electrode for solid oxide cells

2023

Journal of Solid State Chemistry, 328, 124293

Lampropoulos A., Varvoutis G., Mandela E., Konsolakis M., Marnellos G.E., Ipsakis D., Athanasiou C.

Techno-economic assessment of an autothermal poly-generation process involving pyrolysis, gasification and SOFC for olive kernel valorization

2023

International Journal of Hydrogen Energy, 48(99), 39463

Tzelepis S., Kavadias K.A., Marnellos G.E.

A three-dimensional simulation model for proton exchange membrane fuel cells with conventional and bimetallic catalyst layers

2023

Energies, 16, 4086

Lampropoulos A., Karakoulia S.A., Varvoutis G., Spyridakos S., Binas V., Zouridi L., Stefa S., Konsolakis M., Marnellos G.E.

The combined impact of Ni-based catalysts and a binary carbonate salts mixture on the CO2 gasification performance of olive kernel biomass fuel

2023

Catalysts, 13, 596

Kraia T., Varvoutis G., Marnellos G.E., Konsolakis M.

Unveiling the Role of In Situ Sulfidation and H2O Excess on H2S Decomposition to Carbon-Free H2 over Cobalt/Ceria Catalysts

2023

Catalysts, 13, 504

Varvoutis G., Lampropoulos A., Oikonomou P., Andreouli C.D., Stathopoulos V., Lykaki M., Marnellos G.E., Konsolakis M.

Fabrication of highly active and stable Ni/CeO2-nanorods wash-coated on ceramic NZP structured catalysts for scaled-up CO2 methanation

2023

Journal of CO2 Utilization, 70, 102425

Varvoutis G., Lykaki M., Marnellos G.E., Konsolakis M.

Recent Advances on Fine-Tuning Engineering Strategies of CeO2-Based Nanostructured Catalysts Exemplified by CO2 Hydrogenation Processes

2023

Catalysts, 13, 275

Poimenidis I., Papakosta N., Loukakos P., Marnellos G.E., Konsolakis M.

Highly efficient cobalt sulfide heterostructures fabricated on nickel foam electrodes for oxygen evolution reaction in alkaline water electrolysis cells

2023

Surfaces, 6, 493–508

Zouridi L., Vourros A., Garagounis J., Marnellos G.E., Binas V.

Solvent-free direct salt precursor mechanochemical synthesis of La0.5Sr0.5Ti0.5Mn0.5O3-δ oxide perovskite and its electrocatalytic behavior as oxygen electrode for solid oxide cells

2023

Journal of Solid State Chemistry, 328, 124293

Lampropoulos A., Varvoutis G., Mandela E., Konsolakis M., Marnellos G.E., Ipsakis D., Athanasiou C.

Techno-economic assessment of an autothermal poly-generation process involving pyrolysis, gasification and SOFC for olive kernel valorization

2023

International Journal of Hydrogen Energy, 48(99), 39463

Tzelepis S., Kavadias K.A., Marnellos G.E.

A three-dimensional simulation model for proton exchange membrane fuel cells with conventional and bimetallic catalyst layers

2023

Energies, 16, 4086

Lampropoulos A., Karakoulia S.A., Varvoutis G., Spyridakos S., Binas V., Zouridi L., Stefa S., Konsolakis M., Marnellos G.E.

The combined impact of Ni-based catalysts and a binary carbonate salts mixture on the CO2 gasification performance of olive kernel biomass fuel

2023

Catalysts, 13, 596

Kraia T., Varvoutis G., Marnellos G.E., Konsolakis M.

Unveiling the Role of In Situ Sulfidation and H2O Excess on H2S Decomposition to Carbon-Free H2 over Cobalt/Ceria Catalysts

2023

Catalysts, 13, 504

Varvoutis G., Lampropoulos A., Oikonomou P., Andreouli C.D., Stathopoulos V., Lykaki M., Marnellos G.E., Konsolakis M.

Fabrication of highly active and stable Ni/CeO2-nanorods wash-coated on ceramic NZP structured catalysts for scaled-up CO2 methanation

2023

Journal of CO2 Utilization, 70, 102425

Varvoutis G., Lykaki M., Marnellos G.E., Konsolakis M.

Recent Advances on Fine-Tuning Engineering Strategies of CeO2-Based Nanostructured Catalysts Exemplified by CO2 Hydrogenation Processes

2023

Catalysts, 13, 275

Saliakellis P., Koutsou C., Karabelas A.

The Effect of Gap Reduction on Fluid Dynamics and Mass Transfer in Membrane Narrow Channels Filled with Novel Spacers—A Detailed Computational Study

2023

Membranes 13 (1), 20

Bimpiri N., Konstantinidou A., Tsiplakides D., Balomenou S., Papazisi K.M.

Effect of Steam to Carbon Dioxide Ratio on the Performance of a Solid Oxide Cell for H2O/CO2 Co-Electrolysis

2023

Nanomaterials, 13(2), 299