Reference : Methodology for Optimally Sizing a Green Electric and Thermal Eco-Village
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Energy
http://hdl.handle.net/10993/34830
Methodology for Optimally Sizing a Green Electric and Thermal Eco-Village
English
Rafii-Tabrizi, Sasan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Hadji-Minaglou, Jean-Régis mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Scholzen, Frank mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Capitanescu, Florin mailto [Luxembourg Institute of Science & Technology - LIST > ERIN]
2017
From Science to Society-New Trends in Environmental Informatics
Rafii-Tabrizi, Sasan mailto
Hadji-Minaglou, Jean-Régis mailto
Scholzen, Frank mailto
Capitanescu, Florin mailto
Otjacques, Benoît
Springer
107-116
Yes
International
978-3-319-65686-1
EnviroInfo2017
from 13-09-2017 to 15-09-2017
[en] CHP ; Heat pump ; Green building ; Ice storage ; Renewable energy ; Smart grid ; Thermal and electrical energy storage
[en] This paper presents an energy system for a future eco-village, situated in
Luxembourg’s city center, whose thermal and electrical energy needs are covered
by renewable resources. Specifically, electrical energy is provided by a biogas
driven combined heat and power plant, and photovoltaic panels. Lithium-ion
accumulators are used for storing the surplus of electrical energy production.
Thermal energy needs are mainly covered by a dual source heat pump which draws
environmental energy from an ice tank or solar air absorbers. A heat buffer stores
heat produced by the combined heat and power plant, a power to heat module and
the heat pump. This work focuses on optimally sizing, in terms of power rating,
capacity or volume, the energy system components. To this end, a combinatorial
simulation-based optimization approach has been developed using MATLAB. The
optimal set-up is determined by minimizing the overall cost of the energy system
with additional constraints to be respected. Annual needs in thermal and electrical
energy, photovoltaic electricity production and the corresponding weather data are
based on real data.
http://hdl.handle.net/10993/34830
10.1007/978-3-319-65687-8_10

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