|
|
| (4 intermediate revisions by one user not shown) |
| Line 4: |
Line 4: |
| | |author_institution=Politecnico di Milano | | |author_institution=Politecnico di Milano |
| | |authors=Sergio Balderrama, Sylvain Quoilin, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Emanuela Colombo, Riccardo Mereu, Nicolò Stevanato, Ivan Sangiorgio, Gianluca Pellecchia | | |authors=Sergio Balderrama, Sylvain Quoilin, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Emanuela Colombo, Riccardo Mereu, Nicolò Stevanato, Ivan Sangiorgio, Gianluca Pellecchia |
| − | |contact_persons=gianluca.pellecchia@polimi.it | + | |contact_persons=Nicolo' Stevanato |
| − | |contact_email=gianluca.pellecchia@polimi.it | + | |contact_email=nicolo.stevanato@polimi.it |
| | |website=https://github.com/SESAM-Polimi/MicroGridsPy-SESAM | | |website=https://github.com/SESAM-Polimi/MicroGridsPy-SESAM |
| | |source_download=https://github.com/SESAM-Polimi/MicroGridsPy-SESAM.git | | |source_download=https://github.com/SESAM-Polimi/MicroGridsPy-SESAM.git |
| Line 13: |
Line 13: |
| | Main features: | | Main features: |
| | | | |
| − | -Optimal sizing of PV panels, wind turbines, other renewable technologies, back-up genset and electrochemical storage system for least cost electricity supply in rural isolated areas. | + | -Optimal sizing of PV panels, wind turbines, other renewable technologies, back-up genset and electrochemical storage system for least cost electricity supply in rural isolated areas; |
| − | -Optimal dispatch from the identified supply systems. | + | |
| − | -Possibility to optimize on NPC or operation costs. | + | -Optimal dispatch from the identified supply systems; |
| | + | |
| | + | -Possibility to optimize on NPC or operation costs; |
| | + | |
| | -LCOE evaluation for the identified system. | | -LCOE evaluation for the identified system. |
| | + | |
| | | | |
| | Possible features: | | Possible features: |
| | | | |
| − | -Two-stage stochastic optimization. | + | -Two-stage stochastic optimization; |
| − | -Multi-year evolving load demand and multi-step capacity expansion. | + | |
| − | -Possibility of connecting to the national grid. | + | -Multi-year evolving load demand and multi-step capacity expansion; |
| − | -Two-objective optimization (economic and environmental objective functions). | + | |
| − | -Brownfield optimization. | + | -Possibility of connecting to the national grid; |
| − | -Built-in load archetypes for rural users. | + | |
| | + | -Two-objective optimization (economic and environmental objective functions); |
| | + | |
| | + | -Brownfield optimization; |
| | + | |
| | + | -Built-in load archetypes for rural users; |
| | + | |
| | -Endogenous calculation of renewable energy sources production. | | -Endogenous calculation of renewable energy sources production. |
| | |Primary outputs=Optimal sizing of PV panels, wind turbines, other renewable technologies, back-up genset and electrochemical storage system for least cost electricity supply in rural isolated areas; Optimal dispatch from the identified supply systems; Possibility to optimize on NPC or operation costs; LCOE evaluation for the identified system. | | |Primary outputs=Optimal sizing of PV panels, wind turbines, other renewable technologies, back-up genset and electrochemical storage system for least cost electricity supply in rural isolated areas; Optimal dispatch from the identified supply systems; Possibility to optimize on NPC or operation costs; LCOE evaluation for the identified system. |
| Line 58: |
Line 68: |
| | |Additional dimensions (Ecological)=Greenhouse gas emissions | | |Additional dimensions (Ecological)=Greenhouse gas emissions |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
| − | |math_modeltype_shortdesc=The model is based on two-stage stochastic optimisation to deal with the parametric uncertainty, while LP or MILP formulation can be used to tackle the structural uncertainty. | + | |math_modeltype_shortdesc=The model is based on two-stage stochastic optimisation and LP or MILP mathematical formulation |
| | |math_objective=Single or multi objective optimization (NPC, operation costs, CO2 emissions) | | |math_objective=Single or multi objective optimization (NPC, operation costs, CO2 emissions) |
| | |deterministic=Two-stage stochastic optimization | | |deterministic=Two-stage stochastic optimization |
| Line 66: |
Line 76: |
| | |citation_references=Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188, | | |citation_references=Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188, |
| | |citation_doi=https://doi.org/10.1016/j.energy.2019.116073 | | |citation_doi=https://doi.org/10.1016/j.energy.2019.116073 |
| − | |report_references=-Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188, https://doi.org/10.1016/j.energy.2019.116073 | + | |report_references=-Nicolò Stevanato, Francesco Lombardi, Emanuela Colombo, Sergio Balderrama, Sylvain Quoilin, Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation, 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. https://doi.org/10.1109/PTC.2019.8810571 |
| − | | + | |
| − | -Nicolò Stevanato, Francesco Lombardi, Emanuela Colombo, Sergio Balderrama, Sylvain Quoilin, Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation, 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. https://doi.org/10.1109/PTC.2019.8810571 | + | |
| | | | |
| | -Nicolò Stevanato, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Sergio Balderrama, Matija Pavičević, Sylvain Quoilin, Emanuela Colombo, Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization, Energy for Sustainable Development (2020), 58, pp. 16-29, https://doi.org/10.1016/j.esd.2020.07.002 | | -Nicolò Stevanato, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Sergio Balderrama, Matija Pavičević, Sylvain Quoilin, Emanuela Colombo, Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization, Energy for Sustainable Development (2020), 58, pp. 16-29, https://doi.org/10.1016/j.esd.2020.07.002 |
Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188,
https://dx.doi.org/https://doi.org/10.1016/j.energy.2019.116073
-Nicolò Stevanato, Francesco Lombardi, Emanuela Colombo, Sergio Balderrama, Sylvain Quoilin, Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation, 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. https://doi.org/10.1109/PTC.2019.8810571
-Nicolò Stevanato, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Sergio Balderrama, Matija Pavičević, Sylvain Quoilin, Emanuela Colombo, Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization, Energy for Sustainable Development (2020), 58, pp. 16-29, https://doi.org/10.1016/j.esd.2020.07.002
-Nicolò Stevanato, Lorenzo Rinaldi, Stefano Pistolese, Sergio Balderrama, Sylvain Quoilin, Emanuela Colombo, Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy, Applied Sciences (2020), https://doi.org/10.3390/app10217445
