2022
DOI: 10.1016/j.enconman.2022.115961
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Coupling of the electricity and district heat generation sectors with building stock energy retrofits as a measure to reduce carbon emissions

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Cited by 18 publications
(2 citation statements)
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“…In the ISE field, typical decision-making methods include the multi-criteria decisionmaking (MCDM) and multi-objective optimization (MOO) models, which were employed to address challenges associated with urban energy retrofit strategies. The mixed-integer linear programming (MILP) model was used to maximize the energy efficiency of district energy systems [48,49]. The analytical hierarchy process (AHP) model was widely applied to urban energy retrofits to tackle multiple conflicting criteria and decision alternatives [50][51][52].…”
Section: Optimization Modeling-based Approachmentioning
confidence: 99%
“…In the ISE field, typical decision-making methods include the multi-criteria decisionmaking (MCDM) and multi-objective optimization (MOO) models, which were employed to address challenges associated with urban energy retrofit strategies. The mixed-integer linear programming (MILP) model was used to maximize the energy efficiency of district energy systems [48,49]. The analytical hierarchy process (AHP) model was widely applied to urban energy retrofits to tackle multiple conflicting criteria and decision alternatives [50][51][52].…”
Section: Optimization Modeling-based Approachmentioning
confidence: 99%
“…Electric vehicles [16] or fuel cell electric vehicles [17] are being used in the transportation sector. On a larger scale, heating is provided by decentralized heat pumps in the home and district heating grids [18,19]. The hydrogen sector is being developed by combining hydrogen production with the flexibility provided by industry, heating, and transportation [20].…”
Section: Sector Coupling In Electricity Market Modelsmentioning
confidence: 99%