Topology optimization method of district heating system considering load uncertainty
With the implementation of the carbon peaking and carbon neutrality strategy, China's heating system has witnessed various transformative trends, including source-network-load integration and the synergistic utilization of fossil and renewable energy sources. The district heating system, servin...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723015548 |
| _version_ | 1797378585413025792 |
|---|---|
| author | Jiaying Chen Liwei Ding Hongkun Lv Kang Zhang Chenglong Hou Zhenya Lai Xiaojie Lin |
| author_facet | Jiaying Chen Liwei Ding Hongkun Lv Kang Zhang Chenglong Hou Zhenya Lai Xiaojie Lin |
| author_sort | Jiaying Chen |
| collection | DOAJ |
| description | With the implementation of the carbon peaking and carbon neutrality strategy, China's heating system has witnessed various transformative trends, including source-network-load integration and the synergistic utilization of fossil and renewable energy sources. The district heating system, serving as a vital intermediary between heat sources and end-users, plays a crucial role in ensuring a stable energy supply. Particularly, as renewable energy integration increases and end-user requirements become more refined, the demand-supply matching aspect of district heating systems becomes increasingly critical. Therefore, it is essential to quantify and analyze user demand while establishing an adaptive pipe network capable of accommodating fluctuations in end-user load. This paper proposes an optimal topology structure method for district heating systems, taking into account the uncertainty of end-user load. Specifically, a quantitative model of end-user load uncertainty is developed, utilizing the Gram-Charlier A expansion method to capture the factors influencing end-user load uncertainty comprehensively. Furthermore, an optimization model for the pipe network topology is formulated, which considers the uncertainty of end-user load as a constraint and aims to minimize pipeline construction costs. This model optimizes the layout, size, and location of heating sources within the district heating system. The proposed method's practical applicability is validated through a case study of a district heating system in a northern Chinese city that involves 21 end-users. The results indicate that the end-user load uncertainty model outperforms the conventional normal distribution fitting model when dealing with bimodal load distributions. Additionally, the proposed method reduces construction costs by 6.24%, decreases heat loss by 5.30%, and eliminates redundant structures within the district heating system. This research significantly contributes to the planning and design of heating pipeline networks and the optimization and refurbishment of existing pipeline networks within district heating systems. |
| first_indexed | 2024-03-08T20:09:53Z |
| format | Article |
| id | doaj.art-2fe90639873747d4ab677f4092f90ac8 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:09:53Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-2fe90639873747d4ab677f4092f90ac82023-12-23T05:22:13ZengElsevierEnergy Reports2352-48472023-11-011046794691Topology optimization method of district heating system considering load uncertaintyJiaying Chen0Liwei Ding1Hongkun Lv2Kang Zhang3Chenglong Hou4Zhenya Lai5Xiaojie Lin6State Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, China; Corresponding author.State Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang 310014, ChinaCollege of Energy Engineering Zhejiang University, Hangzhou 310027, ChinaWith the implementation of the carbon peaking and carbon neutrality strategy, China's heating system has witnessed various transformative trends, including source-network-load integration and the synergistic utilization of fossil and renewable energy sources. The district heating system, serving as a vital intermediary between heat sources and end-users, plays a crucial role in ensuring a stable energy supply. Particularly, as renewable energy integration increases and end-user requirements become more refined, the demand-supply matching aspect of district heating systems becomes increasingly critical. Therefore, it is essential to quantify and analyze user demand while establishing an adaptive pipe network capable of accommodating fluctuations in end-user load. This paper proposes an optimal topology structure method for district heating systems, taking into account the uncertainty of end-user load. Specifically, a quantitative model of end-user load uncertainty is developed, utilizing the Gram-Charlier A expansion method to capture the factors influencing end-user load uncertainty comprehensively. Furthermore, an optimization model for the pipe network topology is formulated, which considers the uncertainty of end-user load as a constraint and aims to minimize pipeline construction costs. This model optimizes the layout, size, and location of heating sources within the district heating system. The proposed method's practical applicability is validated through a case study of a district heating system in a northern Chinese city that involves 21 end-users. The results indicate that the end-user load uncertainty model outperforms the conventional normal distribution fitting model when dealing with bimodal load distributions. Additionally, the proposed method reduces construction costs by 6.24%, decreases heat loss by 5.30%, and eliminates redundant structures within the district heating system. This research significantly contributes to the planning and design of heating pipeline networks and the optimization and refurbishment of existing pipeline networks within district heating systems.http://www.sciencedirect.com/science/article/pii/S2352484723015548District heating systemTopology optimizationUncertainty analysis |
| spellingShingle | Jiaying Chen Liwei Ding Hongkun Lv Kang Zhang Chenglong Hou Zhenya Lai Xiaojie Lin Topology optimization method of district heating system considering load uncertainty Energy Reports District heating system Topology optimization Uncertainty analysis |
| title | Topology optimization method of district heating system considering load uncertainty |
| title_full | Topology optimization method of district heating system considering load uncertainty |
| title_fullStr | Topology optimization method of district heating system considering load uncertainty |
| title_full_unstemmed | Topology optimization method of district heating system considering load uncertainty |
| title_short | Topology optimization method of district heating system considering load uncertainty |
| title_sort | topology optimization method of district heating system considering load uncertainty |
| topic | District heating system Topology optimization Uncertainty analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723015548 |
| work_keys_str_mv | AT jiayingchen topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT liweiding topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT hongkunlv topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT kangzhang topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT chenglonghou topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT zhenyalai topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty AT xiaojielin topologyoptimizationmethodofdistrictheatingsystemconsideringloaduncertainty |