A Nonlinear Analytical Algorithm for Predicting the Probabilistic Mass Flow of a Radial District Heating Network
Guoqiang Sun,
Wenxue Wang,
Yi Wu,
Wei Hu,
Zijun Yang,
Zhinong Wei,
Haixiang Zang and
Sheng Chen
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Guoqiang Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Wenxue Wang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Yi Wu: State Grid Jiangsu Power Company, Nanjing 210024, Jiangsu Province, China
Wei Hu: State Grid Jiangsu Power Company, Nanjing 210024, Jiangsu Province, China
Zijun Yang: State Grid Jiangsu Power Company, Nanjing 210024, Jiangsu Province, China
Zhinong Wei: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Haixiang Zang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Sheng Chen: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Energies, 2019, vol. 12, issue 7, 1-20
Abstract:
This paper develops a nonlinear analytical algorithm for predicting the probabilistic mass flow of radial district heating networks based on the principle of heat transfer and basic pipe network theory. The use of a nonlinear mass flow model provides more accurate probabilistic operation information for district heating networks with stochastic heat demands than existing probabilistic power flow analytical algorithms based on a linear mass flow model. Moreover, the computation is efficient because our approach does not require repeated nonlinear mass flow calculations. Test results on a 23-node district heating network case indicate that the proposed approach provides an accurate and efficient estimation of probabilistic operation conditions.
Keywords: integrated energy system; district heating network; probabilistic mass flow analysis; nonlinear model; analytical algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:7:p:1215-:d:218072
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