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

Ephyra

KOH.011251, KOH.051068 

PSDI

Adrion Power Plus

PSDI

HiRECORD

/GA 101075727 

PSDI

CoCaCO2la

/MIS 5161503 

PSDI

EN Crop

/MIS 5136553 

PSDI

Energy Park

/MIS 5136518 

Personnel

PSDI

Athanasiou Kostas

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

Balomenou Stella

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

Bimpiri Naouma

Scientific Personnel
, Chemist
PSDI

Dourou Joanna

Scientific Personnel
, Chemical Engineer
PSDI

Drakaki Kleoniki

Scientific Personnel
, Chemical Engineer
PSDI

Farmaki Maria Eleftheria

Scientific Personnel
, Chemical Engineer
PSDI

Georgiadis Michael

Collaborating Faculty Member
, Professor
, Chemical Engineering Dept.
PSDI

Georgiou Nikolaos

Scientific Personnel
, Electronic Engineer
PSDI

Giannakoudis Konstantinos

Scientific Personnel
, Technician
PSDI

Gravanis Georgios

Scientific Personnel
, Automation Engineer
PSDI

Kakabekas Akis

Scientific Personnel
, Industrial Informatics Engineer
PSDI

Karageorgos Panagiotis

Scientific Personnel
, Automation Engineer
PSDI

Kazepidis Panagiotis

PhD Candidate
, Chemical Engineer
PSDI

Konstantinidou Argiro

, Chemical Engineer
PSDI

Koutroulis Konstantinos

Scientific Personnel
, Computer Engineer, Electrical Engineer
PSDI

Kyriakides Alexios

Collaborating Researcher PhD
, Chemical Engineer, PhD
PSDI

Marnellos George

Collaborating Faculty Member
, Professor
, Mechanical Engineering Dept., UOWM
PSDI

Moudiotis Aris

Scientific Personnel
, Electronic Engineer
PSDI

Nessi Paraskevi

Scientific Personnel
, Chemical Engineer
PSDI

Nikiforakis Marios

Scientific Personnel
, Automation Engineer

Publications

Voutetaki A., Papadopoulos A.I., Plakas K., Seferlis P.

Integration of electrodialysis process for selective nitrate removal with renewable energy sources

2022

Chemical Engineering Transactions 94 (2022) 721-726

Perdomo F., Khalit S., Graham E.J., Tzirakis F., Papadopoulos A., Tsivintzelis I., Seferlis P., Galindo A., Jackson G., Adjiman C. 

Thermodynamic modelling of CO2 absorption in cyclic amines, alkyl polyamines, alkanolamines and phase-change amines using the SAFT- gamma Mie group contribution approach

2022

Fluid Phase Equilibria

Kyriakides A., Papadopoulos A., Kadam, S., Khan M., Hassan I., Seferlis P. 

Optimum Dynamic Operation of Integrated Absorption-Compression Refrigeration Cycles and Thermal Energy Storage Systems for District Cooling

2022

Energy Conversion and Management, 270, 116209

Stergioudi F., Baxevani A., Florou C., Michailidis N., Nessi E., Papadopoulos A., Seferlis P.

Corrosion behavior of stainless steels in CO2 absorption process using aqueous solution of monoethanolamine (MEA)

2022

Corrosion and Materials Degradation, 3, 422-438

Nessi P., Papadopoulos A., Kazepidis P., Polichroniadis A., Ntourou G., Voutetakis S., Seferlis P.

Pilot Scale Assessment of a Novel Phase-change Solvent for Energy Efficient Post -combustion CO2 Capture

2022

Journal of Environmental Management, 317, 115489

Vasilas N., Papadopoulos A., Papadopoulos L., Salamanis A., Kazepidis P., Soudris D., Kehagias D., Seferlis P. 

Approximate Computing, Skeleton Programming and Run-Time Scheduling in an Algorithm for Process Design and Controllability in Distributed and Heterogeneous Infrastructures

2022

Computers and Chemical Engineering, 164, 107874

Kyriakides A.S., Proussalis T., Papadopoulos A., Hassan I., Seferlis P. 

Cascaded Model Predictive Controller Performance for the Selection of Robust Working Fluids in Absorption Refrigeration Cycles

2022

Applied Thermal Engineering, 206, 118038

Khan M., Kadam S., Kyriakides A., Hassan I., Rahman M., Papadopoulos A., Seferlis, P.

Development of novel correlation for performance prediction of small and large capacity single-effect vapor absorption refrigeration system

2022

Cleaner Energy Systems, 1, 10002

Voutetaki A., Papadopoulos A.I., Plakas K., Seferlis P.

Integration of electrodialysis process for selective nitrate removal with renewable energy sources

2022

Chemical Engineering Transactions 94 (2022) 721-726

Perdomo F., Khalit S., Graham E.J., Tzirakis F., Papadopoulos A., Tsivintzelis I., Seferlis P., Galindo A., Jackson G., Adjiman C. 

Thermodynamic modelling of CO2 absorption in cyclic amines, alkyl polyamines, alkanolamines and phase-change amines using the SAFT- gamma Mie group contribution approach

2022

Fluid Phase Equilibria

Kyriakides A., Papadopoulos A., Kadam, S., Khan M., Hassan I., Seferlis P. 

Optimum Dynamic Operation of Integrated Absorption-Compression Refrigeration Cycles and Thermal Energy Storage Systems for District Cooling

2022

Energy Conversion and Management, 270, 116209

Stergioudi F., Baxevani A., Florou C., Michailidis N., Nessi E., Papadopoulos A., Seferlis P.

Corrosion behavior of stainless steels in CO2 absorption process using aqueous solution of monoethanolamine (MEA)

2022

Corrosion and Materials Degradation, 3, 422-438

Nessi P., Papadopoulos A., Kazepidis P., Polichroniadis A., Ntourou G., Voutetakis S., Seferlis P.

Pilot Scale Assessment of a Novel Phase-change Solvent for Energy Efficient Post -combustion CO2 Capture

2022

Journal of Environmental Management, 317, 115489

Vasilas N., Papadopoulos A., Papadopoulos L., Salamanis A., Kazepidis P., Soudris D., Kehagias D., Seferlis P. 

Approximate Computing, Skeleton Programming and Run-Time Scheduling in an Algorithm for Process Design and Controllability in Distributed and Heterogeneous Infrastructures

2022

Computers and Chemical Engineering, 164, 107874

Kyriakides A.S., Proussalis T., Papadopoulos A., Hassan I., Seferlis P. 

Cascaded Model Predictive Controller Performance for the Selection of Robust Working Fluids in Absorption Refrigeration Cycles

2022

Applied Thermal Engineering, 206, 118038

Khan M., Kadam S., Kyriakides A., Hassan I., Rahman M., Papadopoulos A., Seferlis, P.

Development of novel correlation for performance prediction of small and large capacity single-effect vapor absorption refrigeration system

2022

Cleaner Energy Systems, 1, 10002

Kadam S., Kyriakides A., Khan M., Shehabi M., Papadopoulos A., Hassan I., Rahman M., Seferlis, P.

Thermo-economic and environmental assessment of hybrid vapor compression-absorption refrigeration systems for district cooling

2022

Energy 243, 122991

Trigkas D., Gravanis G., Diamantaras K., Voutetakis S., Papadopoulou S.

Energy Management in Microgrids Using Model Predictive Control Empowered with Artificial Intelligence

2022

Chemical Engineering Transactions, 94, 961-966

MINOAN – Smart Sustainable
Energy Conversion and Management

GREEN – Geo-Resources, Energy
& Environmental Management

GrEnEA – Green Energy
& Environmental Applications

LIM – Laboratory
of Inorganic Materials

ARTEMIS – Advanced Renewable
Technologies for Energy & Materials
Integrated Systems

NRRE – Natural Resources
& Renewable Energies

PSDI – Laboratory of Process
Systems Design and Implementation

LPRE – Laboratory of Polymer
Reaction Engineering

NICE – Novel materIals
for Clean Energy Applications

LEFH – Laboratory of Environmental
Fuels/Biofuels and Hydrocarbons

HydPro – Hydroprocessing

BCPL – Biological Computation
& Process Laboratory

LEET – Laboratory of Environmental & Energy Transition technologies
(GrEnEA, Green & Minoan Groups)