In the transition process between the tradition generation based on gas turbine combined cycle and the distributed generation, the call for primary energy savings and for CO2 pollutant emissions mitigations moves the scientific community to look at innovative arrangement for accomplishing the end-user needs in terms of electricity consumption, cooling and heating demands. In this context, cogeneration units arranged in CHP layout are able to generate concurrently the assets required by the user, allowing for higher global system efficiencies and reduced CO2 emissions, especially when integrated in smart-district where energy storage technologies are also adopted. The multi energy mixing on the primary source and on the demand sides requires advanced algorithm in order to optimally design and operate the cogeneration smart district. The paper deals with the setup of a cogeneration smart-district simulation tool based on a mixed integer quadric programming technique for solving the optimal dispatch problem, by optimizing the primary energy consumption and the CO2 emissions related to the smart-district design and operation. A real test-case related to an industrial site in the port area of Singapore has been assumed as reference for demonstrating the capabilities of cogeneration smart-district to reduce the primary energy consumption and the greenhouse emissions. The simulation tool has been firstly validated among the data available by two end-users (User A and B), constituting the industrial plant, then it has been adopted for exploring the optimal smart-district design, demonstrating that the cogeneration layout, in which User A and User B are served as a unique User A+B, allows for achieving 15% primary energy saving and up to 18% CO2 pollutant emissions. Furthermore, the advanced mathematics embedded in the cogeneration simulation tool has been used for establishing the best control strategy for a reference week of operations. Accordingly, components sized and capacities and optimal dispatch profile are presented and discussed.
Mazzoni, S., Ooi, S., Romagnoli, A. (2019). Cogeneration power plants for smart-district optimal operations - CO2 and primary energy savings in a real industrial application. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? AIP Conference [10.1063/1.5117026].
Cogeneration power plants for smart-district optimal operations - CO2 and primary energy savings in a real industrial application
Mazzoni S.;
2019-01-01
Abstract
In the transition process between the tradition generation based on gas turbine combined cycle and the distributed generation, the call for primary energy savings and for CO2 pollutant emissions mitigations moves the scientific community to look at innovative arrangement for accomplishing the end-user needs in terms of electricity consumption, cooling and heating demands. In this context, cogeneration units arranged in CHP layout are able to generate concurrently the assets required by the user, allowing for higher global system efficiencies and reduced CO2 emissions, especially when integrated in smart-district where energy storage technologies are also adopted. The multi energy mixing on the primary source and on the demand sides requires advanced algorithm in order to optimally design and operate the cogeneration smart district. The paper deals with the setup of a cogeneration smart-district simulation tool based on a mixed integer quadric programming technique for solving the optimal dispatch problem, by optimizing the primary energy consumption and the CO2 emissions related to the smart-district design and operation. A real test-case related to an industrial site in the port area of Singapore has been assumed as reference for demonstrating the capabilities of cogeneration smart-district to reduce the primary energy consumption and the greenhouse emissions. The simulation tool has been firstly validated among the data available by two end-users (User A and B), constituting the industrial plant, then it has been adopted for exploring the optimal smart-district design, demonstrating that the cogeneration layout, in which User A and User B are served as a unique User A+B, allows for achieving 15% primary energy saving and up to 18% CO2 pollutant emissions. Furthermore, the advanced mathematics embedded in the cogeneration simulation tool has been used for establishing the best control strategy for a reference week of operations. Accordingly, components sized and capacities and optimal dispatch profile are presented and discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
