Process Optimization of Heat and Power Plants
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: closed (5 December 2023) | Viewed by 1684
Special Issue Editors
Interests: combined cyles; CO2 capture, utilization and storage (CCUS) processes; renewable energies; optimization and simulation; mathematical programming (MINLP and GDP models)
Interests: optimization; mathematical programming; seawater desalination processes; CO2 capture processes; green hydrogen; life cycle assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Heat and power plants (HPPs) represent an interesting solution to improving the energy efficiency of industrial sites while reducing greenhouse gas emissions. Indeed, they simultaneously produce electricity and hot utilities (steam, hot water) from the same primary energy source within the same installation. CHP systems can run with natural gas, diesel, coal, or biomass. Additionally, they can run with solar or geothermal energy.
Over the years, many research efforts have been devoted to improving or developing new advanced HPPs. To this end, a great variety of different mathematical modelling approaches, as well as simulation and optimization techniques, are available.
This Special Issue on the “Process Optimization of Heat and Power Plants” seeks high-quality works focusing on new concepts and/or retrofit designs and/or novel designs considering the cost-effectiveness of heat and power plants. This Special Issue aims to promote the study of HPPs that help to reduce costs and greenhouse gas emissions and enhance overall efficiency. Potential topics for this Special Issue include, but are not limited to:
- Improved/new concepts/designs of HPPs:
- Natural gas-fired combined heat and power plants;
- Biomass-fired combined heat and power plants;
- Integration of heat and power plants and renewable energy;
- Integration of heat and power plants and energy-intensive processes;
- Regulated/deregulatedmarkets.
- Mathematical modeling, simulation and optimization tools:
- Deterministic optimization approaches (local or global optimization);
- Simultaneous optimization;
- Parametric optimization (optimization via simulation);
- Stochastic optimization approaches (genetic algorithm GA, simulated annealing SA, particle swarm optimization PSO, and differential evolution DE, etc.);
- Single and/or multi-criteria optimization;
- Exergy analysis, advanced exergy analysis, or exergoeconomic analysis.
- Life Cycle Assessment (LCA).
Dr. Sergio F. Mussati
Dr. Pío A. Aguirre
Guest Editors
Manuscript Submission Information
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