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Fundamentals of Energy Modelling for Positive Energy Districts
Positive Energy Districts (PEDs) are one of the concepts developed to reduce the impact of cities and districts on overall carbon emissions. Given the innovation brought by this concept, the implementation of PEDs comes with a series of challenges. These range from the high use of renewable energy sources, through the need of a positive balance at the end of the year. To have a more optimized deployment, it is important to understand what are the must have’s that are necessary to consider when modelling PEDs. This paper aims at investigating and presenting these must haves for modelling PEDs and analyzing them in relation with some of the most common definitions of PEDs to understand how this affects the modelling of a PED. The identified must haves, i.e. the loads and the technologies, the spatial and temporal dimension and the objective function, specify how PEDs are modelled when the most strict definition is considered. However, in the case of a virtual PED, which is the less strict definition, the differences of modelling a PED compared to a normal district are almost none.
Fundamentals of Energy Modelling for Positive Energy Districts
Positive Energy Districts (PEDs) are one of the concepts developed to reduce the impact of cities and districts on overall carbon emissions. Given the innovation brought by this concept, the implementation of PEDs comes with a series of challenges. These range from the high use of renewable energy sources, through the need of a positive balance at the end of the year. To have a more optimized deployment, it is important to understand what are the must have’s that are necessary to consider when modelling PEDs. This paper aims at investigating and presenting these must haves for modelling PEDs and analyzing them in relation with some of the most common definitions of PEDs to understand how this affects the modelling of a PED. The identified must haves, i.e. the loads and the technologies, the spatial and temporal dimension and the objective function, specify how PEDs are modelled when the most strict definition is considered. However, in the case of a virtual PED, which is the less strict definition, the differences of modelling a PED compared to a normal district are almost none.
Fundamentals of Energy Modelling for Positive Energy Districts
Smart Innovation, Systems and Technologies
Littlewood, John R. (Herausgeber:in) / Howlett, Robert J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Bottecchia, Luigi (Autor:in) / Gabaldón, Andrea (Autor:in) / Castillo-Calzadilla, Tony (Autor:in) / Soutullo, Silvia (Autor:in) / Ranjbar, Saeed (Autor:in) / Eicker, Ursula (Autor:in)
29.09.2021
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch