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Urban building energy modelling and multi-objective optimization for PED transition in an existing neighbourhood in Sweden

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Název: Urban building energy modelling and multi-objective optimization for PED transition in an existing neighbourhood in Sweden
Autoři: Abouebeid, Sara, 1993, Enerbäck, Jenny, 1999, Malakhatka, Elena, 1989, Strömberg, Ann-Brith, 1961, Sindelar, David, 1997, Mazidi, Mohammadreza, 1987, Sridhar, Araavind, 1996, Wallbaum, Holger, 1967, Thuvander, Liane, 1970
Zdroj: Dialog- och kvalitetssäkringsstöd för PEDs med hjälp av digital tvilling energimodeller Digital Twin Cities Centre Energy and Buildings. 352
Témata: Urban building energy modelling, Multi-objective integer linear optimization, Positive energy districts, Renewable energy, Energy efficiency
Popis: Transitioning existing urban neighbourhoods to Positive Energy Districts (PEDs) requires integrated planning to address complex energy, cost, and lifecycle carbon emission challenges. Existing integrated methodologies optimize buildings individually and overlook local energy systems potentials like shared renewables and battery storage. Moreover, existing studies on optimization of on-site renewable energy sources and building retrofitting often rely on simplified typical-day representations, falling short in capturing critical operational dynamics over time. This paper introduces and applies an integrated urban building energy modelling and bi-objective mixedinteger linear programming framework. The framework co-optimizes building retrofits and heating systems, PhotoVoltaic (PV) systems, and Battery Energy Storage System (BESS) capacities over a 10-year horizon with hourly resolution, targeting minimal lifecycle costs and total carbon emissions (operational and embodied). Applied to a 1950s neighbourhood in Gothenburg, Sweden, the analysis demonstrated that achieving full PED status (net-zero energy import, net-zero carbon, and energy surplus) with the evaluated interventions is highly challenging. While optimized solutions reduced the grid dependency (to ∼63% with PV and BESS under volatile prices) and overall carbon emissions (by ∼13% compared to baseline), neither complete net-zero energy import, full carbon neutrality including embodied impacts, nor an energy surplus were realized. The study quantitatively identified critical trade-offs between investment costs, embodied carbon, operational performance, and resilience. Optimal solutions were sensitive to local conditions, notably low-carbon district heating and electricity price volatility. The proposed framework provides a decision-support tool for strategic PED planning in existing urban areas, enabling an exploration of complex techno-economic and environmental trade-offs.
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Přístupová URL adresa: https://research.chalmers.se/publication/549701
https://research.chalmers.se/publication/549623
https://research.chalmers.se/publication/549701/file/549701_Fulltext.pdf
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  Data: Urban building energy modelling and multi-objective optimization for PED transition in an existing neighbourhood in Sweden
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  Data: <searchLink fieldCode="AR" term="%22Abouebeid%2C+Sara%22">Abouebeid, Sara</searchLink>, 1993<br /><searchLink fieldCode="AR" term="%22Enerbäck%2C+Jenny%22">Enerbäck, Jenny</searchLink>, 1999<br /><searchLink fieldCode="AR" term="%22Malakhatka%2C+Elena%22">Malakhatka, Elena</searchLink>, 1989<br /><searchLink fieldCode="AR" term="%22Strömberg%2C+Ann-Brith%22">Strömberg, Ann-Brith</searchLink>, 1961<br /><searchLink fieldCode="AR" term="%22Sindelar%2C+David%22">Sindelar, David</searchLink>, 1997<br /><searchLink fieldCode="AR" term="%22Mazidi%2C+Mohammadreza%22">Mazidi, Mohammadreza</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22Sridhar%2C+Araavind%22">Sridhar, Araavind</searchLink>, 1996<br /><searchLink fieldCode="AR" term="%22Wallbaum%2C+Holger%22">Wallbaum, Holger</searchLink>, 1967<br /><searchLink fieldCode="AR" term="%22Thuvander%2C+Liane%22">Thuvander, Liane</searchLink>, 1970
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  Data: <i>Dialog- och kvalitetssäkringsstöd för PEDs med hjälp av digital tvilling energimodeller Digital Twin Cities Centre Energy and Buildings</i>. 352
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  Data: <searchLink fieldCode="DE" term="%22Urban+building+energy+modelling%22">Urban building energy modelling</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+integer+linear+optimization%22">Multi-objective integer linear optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Positive+energy+districts%22">Positive energy districts</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy%22">Renewable energy</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+efficiency%22">Energy efficiency</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Transitioning existing urban neighbourhoods to Positive Energy Districts (PEDs) requires integrated planning to address complex energy, cost, and lifecycle carbon emission challenges. Existing integrated methodologies optimize buildings individually and overlook local energy systems potentials like shared renewables and battery storage. Moreover, existing studies on optimization of on-site renewable energy sources and building retrofitting often rely on simplified typical-day representations, falling short in capturing critical operational dynamics over time. This paper introduces and applies an integrated urban building energy modelling and bi-objective mixedinteger linear programming framework. The framework co-optimizes building retrofits and heating systems, PhotoVoltaic (PV) systems, and Battery Energy Storage System (BESS) capacities over a 10-year horizon with hourly resolution, targeting minimal lifecycle costs and total carbon emissions (operational and embodied). Applied to a 1950s neighbourhood in Gothenburg, Sweden, the analysis demonstrated that achieving full PED status (net-zero energy import, net-zero carbon, and energy surplus) with the evaluated interventions is highly challenging. While optimized solutions reduced the grid dependency (to ∼63% with PV and BESS under volatile prices) and overall carbon emissions (by ∼13% compared to baseline), neither complete net-zero energy import, full carbon neutrality including embodied impacts, nor an energy surplus were realized. The study quantitatively identified critical trade-offs between investment costs, embodied carbon, operational performance, and resilience. Optimal solutions were sensitive to local conditions, notably low-carbon district heating and electricity price volatility. The proposed framework provides a decision-support tool for strategic PED planning in existing urban areas, enabling an exploration of complex techno-economic and environmental trade-offs.
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  Data: electronic
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        Value: 10.1016/j.enbuild.2025.116783
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      – Text: English
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      – SubjectFull: Urban building energy modelling
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      – SubjectFull: Multi-objective integer linear optimization
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      – SubjectFull: Positive energy districts
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      – SubjectFull: Energy efficiency
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