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Emanuele Martelli
Emanuele Martelli
在 polimi.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
Optimal design of multi-energy systems with seasonal storage
P Gabrielli, M Gazzani, E Martelli, M Mazzotti
Applied Energy 219, 408-424, 2018
5822018
A detailed MILP optimization model for combined cooling, heat and power system operation planning
A Bischi, L Taccari, E Martelli, E Amaldi, G Manzolini, P Silva, ...
Energy 74, 12-26, 2014
3422014
Thermodynamic analysis and numerical optimization of the NET Power oxy-combustion cycle
R Scaccabarozzi, M Gatti, E Martelli
Applied energy 178, 505-526, 2016
2202016
An efficient robust optimization model for the unit commitment and dispatch of multi-energy systems and microgrids
L Moretti, E Martelli, G Manzolini
Applied Energy 261, 113859, 2020
1582020
Review, modeling, Heat Integration, and improved schemes of Rectisol®-based processes for CO2 capture
M Gatti, E Martelli, F Marechal, S Consonni
Applied Thermal Engineering 70 (2), 1123-1140, 2014
1302014
k-MILP: A novel clustering approach to select typical and extreme days for multi-energy systems design optimization
M Zatti, M Gabba, M Freschini, M Rossi, A Gambarotta, M Morini, ...
Energy 181, 1051-1063, 2019
1242019
Comparison of working fluids and cycle optimization for heat recovery ORCs from large internal combustion engines
R Scaccabarozzi, M Tavano, CM Invernizzi, E Martelli
Energy 158, 396-416, 2018
1202018
Shell coal IGCCS with carbon capture: conventional gas quench vs. innovative configurations
E Martelli, T Kreutz, M Carbo, S Consonni, D Jansen
Applied energy 88 (11), 3978-3989, 2011
1172011
Two-stage MINLP algorithm for the optimal synthesis and design of networks of CHP units
C Elsido, A Bischi, P Silva, E Martelli
Energy 121, 403-426, 2017
1152017
Comparison of coal IGCC with and without CO2 capture and storage: Shell gasification with standard vs. partial water quench
E Martelli, T Kreutz, S Consonni
Energy procedia 1 (1), 607-614, 2009
1102009
An MILP approach for the optimal design of renewable battery-hydrogen energy systems for off-grid insular communities
P Marocco, D Ferrero, E Martelli, M Santarelli, A Lanzini
Energy Conversion and Management 245, 114564, 2021
1062021
A rolling-horizon optimization algorithm for the long term operational scheduling of cogeneration systems
A Bischi, L Taccari, E Martelli, E Amaldi, G Manzolini, P Silva, ...
Energy 184, 73-90, 2019
972019
Using hydrogen as gas turbine fuel: premixed versus diffusive flame combustors
M Gazzani, P Chiesa, E Martelli, S Sigali, I Brunetti
Journal of engineering for gas turbines and power 136 (5), 051504, 2014
912014
Reactor design and operation strategies for a large-scale packed-bed CLC power plant with coal syngas
V Spallina, P Chiesa, E Martelli, F Gallucci, MC Romano, G Lozza, ...
International Journal of Greenhouse Gas Control 36, 34-50, 2015
792015
Energy and economic performance of novel integrated gasifier fuel cell (IGFC) cycles with carbon capture
A Lanzini, TG Kreutz, E Martelli, M Santarelli
International journal of greenhouse gas control 26, 169-184, 2014
762014
Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming
E Martelli, M Freschini, M Zatti
Applied energy 267, 115089, 2020
752020
Co-optimization of multi-energy system operation, district heating/cooling network and thermal comfort management for buildings
LMP Ghilardi, AF Castelli, L Moretti, M Morini, E Martelli
Applied Energy 302, 117480, 2021
702021
Optimization of organic rankine cycles for waste heat recovery from aluminum production plants
AF Castelli, C Elsido, R Scaccabarozzi, LO Nord, E Martelli
Frontiers in Energy Research 7, 44, 2019
682019
Thermodynamic and technoeconomic optimization of Organic Rankine Cycle systems
M Astolfi, E Martelli, L Pierobon
Organic Rankine cycle (ORC) power systems, 173-249, 2017
682017
MINLP model and two-stage algorithm for the simultaneous synthesis of heat exchanger networks, utility systems and heat recovery cycles
E Martelli, C Elsido, A Mian, F Marechal
Computers & Chemical Engineering 106, 663-689, 2017
672017
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