Stochastic Dynamic Programming of Air Conditioning System under Time-varying Passenger Condition for Electric Bus

Mei Yan; Hongwen He; Chao Sun; Hui Jia; Menglin Li

doi:10.1016/j.egypro.2016.12.061

Stochastic Dynamic Programming of Air Conditioning System under Time-varying Passenger Condition for Electric Bus

Mei Yan, Hongwen He^*, Chao Sun, Hui Jia, Menglin Li

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

The variation of the number of passengers carried in an electric bus is an obsessional disturbance for the temperature control and energy management of the air-conditioning (AC) system. This paper aims at optimally controlling the AC system output power and improving its potential energy efficiency by analysing the number variation of passengers. A probability distribution matrix of the number of passengers along the bus stops is formulated. Dynamic programming (DP) is employed to produce the optimal AC control behavior when stochastic number of passengers is estimated. Simulation results show that DP with randomly estimate number of passengers is able to meet the temperature performance requirements and the average energy consumption is improved by over 8% compared with DP when a fixed passenger number is assumed.

Original language	English
Pages (from-to)	360-365
Number of pages	6
Journal	Energy Procedia
Volume	104
DOIs	https://doi.org/10.1016/j.egypro.2016.12.061
Publication status	Published - 2016
Event	Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016 - Jinan, China Duration: 13 Jun 2016 → 15 Jun 2016

Keywords

AC system
Dynamic Programming
Electric bus
Passengers Variation
Stochastic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2016.12.061

Cite this

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title = "Stochastic Dynamic Programming of Air Conditioning System under Time-varying Passenger Condition for Electric Bus",

abstract = "The variation of the number of passengers carried in an electric bus is an obsessional disturbance for the temperature control and energy management of the air-conditioning (AC) system. This paper aims at optimally controlling the AC system output power and improving its potential energy efficiency by analysing the number variation of passengers. A probability distribution matrix of the number of passengers along the bus stops is formulated. Dynamic programming (DP) is employed to produce the optimal AC control behavior when stochastic number of passengers is estimated. Simulation results show that DP with randomly estimate number of passengers is able to meet the temperature performance requirements and the average energy consumption is improved by over 8% compared with DP when a fixed passenger number is assumed.",

keywords = "AC system, Dynamic Programming, Electric bus, Passengers Variation, Stochastic",

author = "Mei Yan and Hongwen He and Chao Sun and Hui Jia and Menglin Li",

note = "Publisher Copyright: {\textcopyright} 2016 Published by Elsevier Ltd.; Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016 ; Conference date: 13-06-2016 Through 15-06-2016",

year = "2016",

doi = "10.1016/j.egypro.2016.12.061",

language = "English",

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journal = "Energy Procedia",

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TY - JOUR

T1 - Stochastic Dynamic Programming of Air Conditioning System under Time-varying Passenger Condition for Electric Bus

AU - Yan, Mei

AU - He, Hongwen

AU - Sun, Chao

AU - Jia, Hui

AU - Li, Menglin

PY - 2016

Y1 - 2016

N2 - The variation of the number of passengers carried in an electric bus is an obsessional disturbance for the temperature control and energy management of the air-conditioning (AC) system. This paper aims at optimally controlling the AC system output power and improving its potential energy efficiency by analysing the number variation of passengers. A probability distribution matrix of the number of passengers along the bus stops is formulated. Dynamic programming (DP) is employed to produce the optimal AC control behavior when stochastic number of passengers is estimated. Simulation results show that DP with randomly estimate number of passengers is able to meet the temperature performance requirements and the average energy consumption is improved by over 8% compared with DP when a fixed passenger number is assumed.

AB - The variation of the number of passengers carried in an electric bus is an obsessional disturbance for the temperature control and energy management of the air-conditioning (AC) system. This paper aims at optimally controlling the AC system output power and improving its potential energy efficiency by analysing the number variation of passengers. A probability distribution matrix of the number of passengers along the bus stops is formulated. Dynamic programming (DP) is employed to produce the optimal AC control behavior when stochastic number of passengers is estimated. Simulation results show that DP with randomly estimate number of passengers is able to meet the temperature performance requirements and the average energy consumption is improved by over 8% compared with DP when a fixed passenger number is assumed.

KW - AC system

KW - Dynamic Programming

KW - Electric bus

KW - Passengers Variation

KW - Stochastic

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U2 - 10.1016/j.egypro.2016.12.061

DO - 10.1016/j.egypro.2016.12.061

M3 - Conference article

AN - SCOPUS:85013077373

SN - 1876-6102

VL - 104

SP - 360

EP - 365

JO - Energy Procedia

JF - Energy Procedia

T2 - Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016

Y2 - 13 June 2016 through 15 June 2016

ER -

Stochastic Dynamic Programming of Air Conditioning System under Time-varying Passenger Condition for Electric Bus

Abstract

Keywords

UN SDGs

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