Fifth-Generation District Heating and Cooling Substations: Demand Response with Artificial Neural Network-Based Model Predictive Control
Simone Buffa,
Anton Soppelsa,
Mauro Pipiciello,
Gregor Henze and
Roberto Fedrizzi
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Simone Buffa: Eurac Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, Italy
Anton Soppelsa: Eurac Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, Italy
Mauro Pipiciello: Eurac Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, Italy
Gregor Henze: Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309-0428, USA
Roberto Fedrizzi: Eurac Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, Italy
Energies, 2020, vol. 13, issue 17, 1-25
Abstract:
District heating and cooling (DHC) is considered one of the most sustainable technologies to meet the heating and cooling demands of buildings in urban areas. The fifth-generation district heating and cooling (5GDHC) concept, often referred to as ambient loops, is a novel solution emerging in Europe and has become a widely discussed topic in current energy system research. 5GDHC systems operate at a temperature close to the ground and include electrically driven heat pumps and associated thermal energy storage in a building-sited energy transfer station (ETS) to satisfy user comfort. This work presents new strategies for improving the operation of these energy transfer stations by means of a model predictive control (MPC) method based on recurrent artificial neural networks. The results show that, under simple time-of-use utility rates, the advanced controller outperforms a rule-based controller for smart charging of the domestic hot water (DHW) thermal energy storage under specific boundary conditions. By exploiting the available thermal energy storage capacity, the MPC controller is capable of shifting up to 14% of the electricity consumption of the ETS from on-peak to off-peak hours. Therefore, the advanced control implemented in 5GDHC networks promotes coupling between the thermal and the electric sector, producing flexibility on the electric grid.
Keywords: 5GDHC; cold district heating; ambient loops; heat pump systems; demand side management; smart energy systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (16)
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