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Optimal operational planning for district heating coupled industrial energy systems considering participation models

https://doi.org/10.1016/j.procir.2023.02.035
0 signed · 19 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s12053-016-9463-6openalex-snapshot
Industrial waste heat potential in Germany—a bottom-up analysis
inferredcites →https://doi.org/10.1016/j.applthermaleng.2018.04.043openalex-snapshot
Industrial waste heat: Estimation of the technically available resource in the EU per industrial sector, temperature level and country
inferredcites →https://doi.org/10.1016/j.energy.2014.02.089openalex-snapshot
4th Generation District Heating (4GDH)
inferredcites →https://doi.org/10.1016/j.energy.2015.04.052openalex-snapshot
Key issues and solutions in a district heating system using low-grade industrial waste heat
inferredcites →https://doi.org/10.1016/j.energy.2017.12.048openalex-snapshot
Systematic optimization for the utilization of low-temperature industrial excess heat for district heating
inferredcites →https://doi.org/10.1016/j.energy.2020.117579openalex-snapshot
Designing the Heat Merit Order to determine the value of industrial waste heat for district heating systems
inferredcites →https://doi.org/10.1016/j.enpol.2008.10.003openalex-snapshot
Pricing district heating by marginal cost
inferredcites →https://doi.org/10.1016/j.joule.2020.12.007openalex-snapshot
To decarbonize industry, we must decarbonize heat
inferredcites →https://doi.org/10.1016/j.procir.2021.11.038openalex-snapshot
Technical and digital twin concept of an industrial heat transfer station for low exergy waste heat
inferredcites →https://doi.org/10.1016/j.procir.2022.02.056openalex-snapshot
Modeling approach and simulation study to assess the utilization potential of industrial waste heat in district heating systems
inferredcites →https://doi.org/10.1016/j.rser.2014.10.003openalex-snapshot
A review of the pricing mechanisms for district heating systems
inferredcites →https://doi.org/10.1016/j.seta.2020.100894openalex-snapshot
Energy, exergy, economic and exergoeconomic (4E) multicriteria analysis of an industrial waste heat valorization system through district heating
inferredcites →https://doi.org/10.1109/tste.2020.3023251openalex-snapshot
Bi-Level Optimization Framework for Buildings to Heating Grid Integration in Integrated Community Energy Systems
inferredcites →https://doi.org/10.3390/en14082190openalex-snapshot
A Framework for Design and Operation Optimization for Utilizing Low-Grade Industrial Waste Heat in District Heating and Cooling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4795225openalex-extracted
Waste-Heat Recovery Utilisation for District Heating Systems Under Diverse Pricing Schemes: A Bi-Level Modelling Approach
inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.124032openalex-snapshot
Waste-heat recovery utilisation for district heating systems under diverse pricing schemes: A bi-level modelling approach
inferred← citeshttps://doi.org/10.1016/j.buildenv.2023.110762openalex-snapshot
Green strategies for improving urban microclimate and air quality: A case study of an Italian industrial district and facility
inferred← citeshttps://doi.org/10.1016/j.energy.2024.131281openalex-snapshot
Research on station-network planning of electricity-thermal -cooling regional integrated energy system considering multiple-load clusters and network costs
inferred← citeshttps://doi.org/10.1109/access.2024.3494767openalex-snapshot
Optimal Integrated Energy Scheduling for Industrial Customers Based on a Bi-Level Programming
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