Smart energy systems are complex systems (i.e. composed of windmills, PV panels, solar collectors, heat pumps, CHP systems, etc) in which synergies rise through the ICT (Information and Communications Technology) based management and control of the whole system. In the development of efficient smart energy systems, a fundamental step is the optimization of total energy conversion, transmission and utilization processes within the whole system. To this extent, mathematical models can represent very useful tools for the simulation of the behavior of the system. In this paper, a library for the dynamic simulation of smart energy systems is presented. The library is implemented in Matlab®/Simulink® and each component (i.e. the energy conversion and distribution systems and the end-users) is developed through a modular approach. Therefore, the modules are designed by considering a standardized input/output and causality structure. Finally, the capabilities of this approach are evaluated through the application to the district heating and cooling network of the Campus of the University of Parma. The case study is based on a branch which feeds twelve buildings with a total heating volume of about 150 000 m3 and peak thermal power demand of about 8 MW. Results reported in the paper demonstrate the effectiveness of this approach and the capability in term of system optimization.

A Library for the Simulation of Smart Energy Systems: The Case of the Campus of the University of Parma / Gambarotta, Agostino; Morini, Mirko; Rossi, Michele; Stonfer, Matteo. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 105:(2017), pp. 1776-1781. (Intervento presentato al convegno 8th International Conference on Applied Energy, ICAE 2016 tenutosi a chn nel 2016) [10.1016/j.egypro.2017.03.514].

A Library for the Simulation of Smart Energy Systems: The Case of the Campus of the University of Parma

GAMBAROTTA, Agostino;MORINI, Mirko;
2017-01-01

Abstract

Smart energy systems are complex systems (i.e. composed of windmills, PV panels, solar collectors, heat pumps, CHP systems, etc) in which synergies rise through the ICT (Information and Communications Technology) based management and control of the whole system. In the development of efficient smart energy systems, a fundamental step is the optimization of total energy conversion, transmission and utilization processes within the whole system. To this extent, mathematical models can represent very useful tools for the simulation of the behavior of the system. In this paper, a library for the dynamic simulation of smart energy systems is presented. The library is implemented in Matlab®/Simulink® and each component (i.e. the energy conversion and distribution systems and the end-users) is developed through a modular approach. Therefore, the modules are designed by considering a standardized input/output and causality structure. Finally, the capabilities of this approach are evaluated through the application to the district heating and cooling network of the Campus of the University of Parma. The case study is based on a branch which feeds twelve buildings with a total heating volume of about 150 000 m3 and peak thermal power demand of about 8 MW. Results reported in the paper demonstrate the effectiveness of this approach and the capability in term of system optimization.
2017
A Library for the Simulation of Smart Energy Systems: The Case of the Campus of the University of Parma / Gambarotta, Agostino; Morini, Mirko; Rossi, Michele; Stonfer, Matteo. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 105:(2017), pp. 1776-1781. (Intervento presentato al convegno 8th International Conference on Applied Energy, ICAE 2016 tenutosi a chn nel 2016) [10.1016/j.egypro.2017.03.514].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2832916
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