A5018067185- Process Optimization and Integration
- Carbon Dioxide Capture Technologies
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Phase Equilibria and Thermodynamics
- Refrigeration and Air Conditioning Technologies
- Advanced Control Systems Optimization
- Advanced Thermodynamics and Statistical Mechanics
- Membrane Separation and Gas Transport
- Hybrid Renewable Energy Systems
- Chemistry and Chemical Engineering
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Chemical Looping and Thermochemical Processes
- Solar Thermal and Photovoltaic Systems
- Extraction and Separation Processes
- Adsorption and Cooling Systems
- Advanced Thermodynamic Systems and Engines
- Advanced Battery Technologies Research
- Building Energy and Comfort Optimization
- Integrated Energy Systems Optimization
- Industrial Gas Emission Control
- Membrane-based Ion Separation Techniques
- Analytical Chemistry and Chromatography
- Distributed and Parallel Computing Systems
- Energy Load and Power Forecasting
Centre for Research and Technology Hellas
2016-2025
ETH Zurich
2023
China Philanthropy Research Institute
2018-2019
Texas A&M University at Qatar
2012-2013
Aristotle University of Thessaloniki
2001-2012
University of Surrey
2004-2009
Efficient power generation from low to medium grade heat is an important challenge be addressed ensure a sustainable energy future. Organic Rankine Cycles (ORCs) constitute enabling technology and their research development has emerged as very active field over the past decade. Particular focus areas include working fluid selection cycle design achieve efficient conversions for diverse hot streams associated with geothermal, solar or waste sources. Recently, number of approaches have been...
This work presents a Computer-Aided Molecular Design (CAMD) method for the synthesis and selection of binary working fluid mixtures used in Organic Rankine Cycles (ORC). The consists two stages, initially seeking optimum mixture performance targets by designing molecules acting as first component binaries. identified are subsequently approached required matching selecting concentration. A multiobjective formulation CAMD-optimization problem enables identification numerous candidates,...
Novel solvents for chemisorption-based CO<sub>2</sub> capture.
Abstract The limitations are addressed that emerge from the computer aided molecular design (CAMD) applications in optimal synthesis of solvents through a novel approach designing built upon multiple objective optimization technology. This technology has certain advantages over single approaches have been used for solvent molecules past. different drives, described by various functions, treated independently without being submitted to unnecessary fixed assumptions bias designs. As result,...
We develop an approach for the screening and selection of post combustion CO2 capture solvents using as performance criteria molecular mixture properties associated with thermodynamics, reactivity sustainability. The proposed involves a fast stage in which numerous are evaluated based on simultaneous consideration pure component properties. Several specifically selected to represent effects chemistry process. A few high-performing further predictive models accounting very nonideal behaviour....
Abstract Solvent‐based electrochemical CO 2 reduction (CO R) enables the production of chemicals or fuels using from a preceding absorption process. Employing previously tested capture solvents does not ensure their suitability for either R integrated absorption‐reduction. We propose solvent selection criteria that include solubility, kinetic constant, ionic conductivity, concentration bicarbonate, carbamate, and cation in ‐loaded solution, sustainability indicators. They are implemented (a)...