Optimal Scheduling of a District Heat System with a Combined Heat and Power Plant Considering Pipeline Dynamics
This paper presents two new mixed-integer linear programming (MILP) models for more flexible operation of a combined heat and power (CHP) plant connected to a district heating load by a pipeline. The optimization models consider the heat-storage capabilities of the pipeline to better react to volati...
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| Published in: | Industrial & engineering chemistry research Vol. 59; no. 13; pp. 5969 - 5984 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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American Chemical Society
01-04-2020
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| Abstract | This paper presents two new mixed-integer linear programming (MILP) models for more flexible operation of a combined heat and power (CHP) plant connected to a district heating load by a pipeline. The optimization models consider the heat-storage capabilities of the pipeline to better react to volatile energy prices and heat demands, varying both the flowrate and temperature of the hot water coming out of the CHP plant. They rigorously account for varying time delays, in a simpler (linear) way than previous works. The new scheduling formulations achieve a very good computational performance by relying on either a discrete-time or hybrid discrete/continuous-time representation, where all time slots of the grid are preassigned to a given period with constant price and demand (e.g., an hour of the day). Results for a motivating example inspired by a German system show additional revenues of 345 k€/year for a 10 km pipeline with a diameter of 0.7 m (3850 m3), compared to operating the pipeline at a constant temperature. This value is strongly dependent on the storage capacity, increasing to 1415 k€/year for a volume of 10,000 m3. |
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| AbstractList | This paper presents two new mixed-integer linear programming (MILP) models for more flexible operation of a combined heat and power (CHP) plant connected to a district heating load by a pipeline. The optimization models consider the heat-storage capabilities of the pipeline to better react to volatile energy prices and heat demands, varying both the flowrate and temperature of the hot water coming out of the CHP plant. They rigorously account for varying time delays, in a simpler (linear) way than previous works. The new scheduling formulations achieve a very good computational performance by relying on either a discrete-time or hybrid discrete/continuous-time representation, where all time slots of the grid are preassigned to a given period with constant price and demand (e.g., an hour of the day). Results for a motivating example inspired by a German system show additional revenues of 345 k€/year for a 10 km pipeline with a diameter of 0.7 m (3850 m3), compared to operating the pipeline at a constant temperature. This value is strongly dependent on the storage capacity, increasing to 1415 k€/year for a volume of 10,000 m3. |
| Author | Castro, Pedro M Merkert, Lennart |
| AuthorAffiliation | ABB Power Grids Germany AG Centro de Matemática Aplicações Fundamentais e Investigação Operacional |
| AuthorAffiliation_xml | – name: Centro de Matemática Aplicações Fundamentais e Investigação Operacional – name: ABB Power Grids Germany AG |
| Author_xml | – sequence: 1 givenname: Lennart surname: Merkert fullname: Merkert, Lennart organization: ABB Power Grids Germany AG – sequence: 2 givenname: Pedro M orcidid: 0000-0002-4898-8922 surname: Castro fullname: Castro, Pedro M email: pmcastro@fc.ul.pt organization: Centro de Matemática Aplicações Fundamentais e Investigação Operacional |
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| CitedBy_id | crossref_primary_10_1080_23744731_2021_2018875 crossref_primary_10_1016_j_apenergy_2023_121038 crossref_primary_10_1016_j_cherd_2020_10_022 crossref_primary_10_1016_j_energy_2024_132189 crossref_primary_10_1016_j_energy_2022_123766 crossref_primary_10_1021_acs_iecr_0c01714 |
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