Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Enhancing self-consumption for decarbonization: An optimization strategy based on a calibrated building energy model
https://orcid.org/0000-0001-9491-9875
https://orcid.org/0000-0002-4309-1606
https://orcid.org/0000-0003-2561-268X
https://orcid.org/0000-0001-9220-3291
Abstract To face the challenge of climate change and achieve the decarbonization target set by the European Union, the current trend is to electrify building services, replacing the use of fossil fuels for renewable energy sources. The installation of grid-connected photovoltaic (PV) systems is becoming a popular strategy. However, the widespread application of PV solutions carries certain concerns about grid-network security and stability, since intermittent renewable energy excess pouring into the grid may exceed voltage limits. Therefore, an optimization of the consumption of a building's own PV production (self-consumption) to reduce the excess output is vital. The following paper performs a demand side optimization strategy of the building's thermostatic controllable loads (heating and cooling), which represent at least 50% of the total energy consumed by the building. The process is applied in a previously calibrated building energy model (BEM) that describes a fully operational building under a typical Mediterranean climate (Greece). The site contains a PV plant and a multi-split Variable Refrigerant Flow (VRF) system dedicated to maintain indoor comfort conditions. The technology used is simple, able to perform 15 minute time-step yearly optimizations while saving a large amount of computational time. It performs a bi-dimensional optimization of both: indoor thermal-zone set-points and ventilation air supply temperature. The optimization process performed is based on 2019 data gathered from European Project SABINA, resulting in a self-consumption improvement of 11.6% for summer scenario (reaching 69.16%) and 78.7% for winter (reaching 57.47%) in comparison to a non-optimized “business as usual” base model.
Highlights Self-consumption (SC) avoids dispatching excess of renewable energy into the grid. A demand side management strategy to optimize set-points curves is developed. It achieves remarkable increases in Self-sufficiency and SC in a real test site. Optimal curves are calculated for each thermal zone and Air Handling Unit supply-air. The optimal distribution of the supplied PV production into the building is analyzed.
Enhancing self-consumption for decarbonization: An optimization strategy based on a calibrated building energy model
https://orcid.org/0000-0001-9491-9875
https://orcid.org/0000-0002-4309-1606
https://orcid.org/0000-0003-2561-268X
https://orcid.org/0000-0001-9220-3291
Abstract To face the challenge of climate change and achieve the decarbonization target set by the European Union, the current trend is to electrify building services, replacing the use of fossil fuels for renewable energy sources. The installation of grid-connected photovoltaic (PV) systems is becoming a popular strategy. However, the widespread application of PV solutions carries certain concerns about grid-network security and stability, since intermittent renewable energy excess pouring into the grid may exceed voltage limits. Therefore, an optimization of the consumption of a building's own PV production (self-consumption) to reduce the excess output is vital. The following paper performs a demand side optimization strategy of the building's thermostatic controllable loads (heating and cooling), which represent at least 50% of the total energy consumed by the building. The process is applied in a previously calibrated building energy model (BEM) that describes a fully operational building under a typical Mediterranean climate (Greece). The site contains a PV plant and a multi-split Variable Refrigerant Flow (VRF) system dedicated to maintain indoor comfort conditions. The technology used is simple, able to perform 15 minute time-step yearly optimizations while saving a large amount of computational time. It performs a bi-dimensional optimization of both: indoor thermal-zone set-points and ventilation air supply temperature. The optimization process performed is based on 2019 data gathered from European Project SABINA, resulting in a self-consumption improvement of 11.6% for summer scenario (reaching 69.16%) and 78.7% for winter (reaching 57.47%) in comparison to a non-optimized “business as usual” base model.
Highlights Self-consumption (SC) avoids dispatching excess of renewable energy into the grid. A demand side management strategy to optimize set-points curves is developed. It achieves remarkable increases in Self-sufficiency and SC in a real test site. Optimal curves are calculated for each thermal zone and Air Handling Unit supply-air. The optimal distribution of the supplied PV production into the building is analyzed.
Enhancing self-consumption for decarbonization: An optimization strategy based on a calibrated building energy model
https://orcid.org/0000-0001-9491-9875
https://orcid.org/0000-0002-4309-1606
https://orcid.org/0000-0003-2561-268X
https://orcid.org/0000-0001-9220-3291
Abstract To face the challenge of climate change and achieve the decarbonization target set by the European Union, the current trend is to electrify building services, replacing the use of fossil fuels for renewable energy sources. The installation of grid-connected photovoltaic (PV) systems is becoming a popular strategy. However, the widespread application of PV solutions carries certain concerns about grid-network security and stability, since intermittent renewable energy excess pouring into the grid may exceed voltage limits. Therefore, an optimization of the consumption of a building's own PV production (self-consumption) to reduce the excess output is vital. The following paper performs a demand side optimization strategy of the building's thermostatic controllable loads (heating and cooling), which represent at least 50% of the total energy consumed by the building. The process is applied in a previously calibrated building energy model (BEM) that describes a fully operational building under a typical Mediterranean climate (Greece). The site contains a PV plant and a multi-split Variable Refrigerant Flow (VRF) system dedicated to maintain indoor comfort conditions. The technology used is simple, able to perform 15 minute time-step yearly optimizations while saving a large amount of computational time. It performs a bi-dimensional optimization of both: indoor thermal-zone set-points and ventilation air supply temperature. The optimization process performed is based on 2019 data gathered from European Project SABINA, resulting in a self-consumption improvement of 11.6% for summer scenario (reaching 69.16%) and 78.7% for winter (reaching 57.47%) in comparison to a non-optimized “business as usual” base model.
Highlights Self-consumption (SC) avoids dispatching excess of renewable energy into the grid. A demand side management strategy to optimize set-points curves is developed. It achieves remarkable increases in Self-sufficiency and SC in a real test site. Optimal curves are calculated for each thermal zone and Air Handling Unit supply-air. The optimal distribution of the supplied PV production into the building is analyzed.
Enhancing self-consumption for decarbonization: An optimization strategy based on a calibrated building energy model
Pachano, José Eduardo (Autor:in) / Fernández-Vigil Iglesias, María (Autor:in) / Peppas, Antonis (Autor:in) / Fernández Bandera, Carlos (Autor:in)
Energy and Buildings ; 298
20.09.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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