Integrated local multi-energy systems are recognized as a promising option to achieve the ambitious energy and climate goals set by the European Commission for 2030. The nature of integrated systems requires a sound combination of inter-disciplinary methodologies and complementary tools. Creating an efficient architecture capable of exploiting synergies between tools is therefore crucial for designing, analysing and operating integrated energy systems. The joint application of different tools needed for analysing a local system can be very demanding and time-consuming due to vastly different data structures and functionalities. To address the need for complementary tools, the aim of this paper is to establish and test an integrated modelling architecture allowing the interaction of tools into a modular toolbox for the optimal planning of integrated local multi-energy systems, and also present key preliminary outcomes.
Workflow-Based Architecture for Optimal Planning of Integrated Local Multi-Energy Systems / Askeland, Magnus; Morch, Andrei; Papadimitriou, Christina; Somma, Marialaura Di; Coccia, Alessio; Pinel, Dimitri; Richardson, Peter; Sforza, Gianluca. - (2023), pp. -6. (Intervento presentato al convegno 2023 International Conference on Smart Energy Systems and Technologies (SEST) tenutosi a Mugla, Turchia nel 4-6 Settembre 2023) [10.1109/SEST57387.2023.10257503].
Workflow-Based Architecture for Optimal Planning of Integrated Local Multi-Energy Systems
Somma, Marialaura Di;
2023
Abstract
Integrated local multi-energy systems are recognized as a promising option to achieve the ambitious energy and climate goals set by the European Commission for 2030. The nature of integrated systems requires a sound combination of inter-disciplinary methodologies and complementary tools. Creating an efficient architecture capable of exploiting synergies between tools is therefore crucial for designing, analysing and operating integrated energy systems. The joint application of different tools needed for analysing a local system can be very demanding and time-consuming due to vastly different data structures and functionalities. To address the need for complementary tools, the aim of this paper is to establish and test an integrated modelling architecture allowing the interaction of tools into a modular toolbox for the optimal planning of integrated local multi-energy systems, and also present key preliminary outcomes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
