Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks

Bin Ren; Lin Wang; Xiaoyu Wang; Jiayu Chen

doi:10.1007/978-981-16-7210-1_42

Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks

Bin Ren
, Lin Wang
, Xiaoyu Wang
, Jiayu Chen^*

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

At present, the manufacturing industry's energy consumption accounts for a large proportion of industrial energy consumption. Most of the research is on the manufacturing industry's energy consumption from the aspects of systems and equipment. However, people are an important factor affecting the manufacturing industry's energy consumption, and people's behaviour can be transmitted through the relationship network. Aiming at the energy-saving and consumption-reducing behaviour in manufacturing design and manufacturing process, a simulation algorithm of personnel energy-saving decision-making considering adjacency relation is proposed. The algorithm considers the influencing factors of people's behaviour decision. Based on adjacency relation, the energy consumption model of a random adjacency network is established. The adjacency network propagation of energy-saving behaviour is studied and verified by actual data. The suggestions of energy saving and consumption reduction considering the adjacency relationship are obtained, which is beneficial to reduce the manufacturing industry's energy consumption.

Original language	English
Title of host publication	Recent Advances in Sustainable Energy and Intelligent Systems
Subtitle of host publication	7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II
Editors	Kang Li, Tim Coombs, Jinghan He, Yuchu Tian, Qun Niu, Zhile Yang
Place of Publication	Singapore
Publisher	Springer
Pages	441-451
ISBN (Electronic)	978-981-16-7210-1
ISBN (Print)	978-981-16-7209-5
DOIs	https://doi.org/10.1007/978-981-16-7210-1_42
Publication status	Published - 2021
Event	7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 - Hangzhou, China Duration: 30 Oct 2021 → 1 Nov 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1468
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021
Place	China
City	Hangzhou
Period	30/10/21 → 1/11/21

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Adjacency network
Agent-based
Energy-saving behavior
Simulation study

Access Output

10.1007/978-981-16-7210-1_42

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Cite this

Ren, B., Wang, L., Wang, X., & Chen, J. (2021). Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks. In K. Li, T. Coombs, J. He, Y. Tian, Q. Niu, & Z. Yang (Eds.), Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II (pp. 441-451). (Communications in Computer and Information Science; Vol. 1468). Springer . https://doi.org/10.1007/978-981-16-7210-1_42

Ren, Bin ; Wang, Lin ; Wang, Xiaoyu et al. / Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks. Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II. editor / Kang Li ; Tim Coombs ; Jinghan He ; Yuchu Tian ; Qun Niu ; Zhile Yang. Singapore : Springer , 2021. pp. 441-451 (Communications in Computer and Information Science).

@inproceedings{d7cbab65e0fb4507916281ad6d5f458a,

title = "Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks",

abstract = "At present, the manufacturing industry's energy consumption accounts for a large proportion of industrial energy consumption. Most of the research is on the manufacturing industry's energy consumption from the aspects of systems and equipment. However, people are an important factor affecting the manufacturing industry's energy consumption, and people's behaviour can be transmitted through the relationship network. Aiming at the energy-saving and consumption-reducing behaviour in manufacturing design and manufacturing process, a simulation algorithm of personnel energy-saving decision-making considering adjacency relation is proposed. The algorithm considers the influencing factors of people's behaviour decision. Based on adjacency relation, the energy consumption model of a random adjacency network is established. The adjacency network propagation of energy-saving behaviour is studied and verified by actual data. The suggestions of energy saving and consumption reduction considering the adjacency relationship are obtained, which is beneficial to reduce the manufacturing industry's energy consumption.",

keywords = "Adjacency network, Agent-based, Energy-saving behavior, Simulation study",

author = "Bin Ren and Lin Wang and Xiaoyu Wang and Jiayu Chen",

year = "2021",

doi = "10.1007/978-981-16-7210-1\_42",

language = "English",

isbn = "978-981-16-7209-5",

series = "Communications in Computer and Information Science",

publisher = "Springer ",

pages = "441--451",

editor = "Kang Li and Tim Coombs and Jinghan He and Yuchu Tian and Qun Niu and Zhile Yang",

booktitle = "Recent Advances in Sustainable Energy and Intelligent Systems",

note = "7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 ; Conference date: 30-10-2021 Through 01-11-2021",

}

Ren, B, Wang, L, Wang, X & Chen, J 2021, Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks. in K Li, T Coombs, J He, Y Tian, Q Niu & Z Yang (eds), Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II. Communications in Computer and Information Science, vol. 1468, Springer , Singapore, pp. 441-451, 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, 30/10/21. https://doi.org/10.1007/978-981-16-7210-1_42

Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks. / Ren, Bin; Wang, Lin; Wang, Xiaoyu et al.
Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II. ed. / Kang Li; Tim Coombs; Jinghan He; Yuchu Tian; Qun Niu; Zhile Yang. Singapore: Springer , 2021. p. 441-451 (Communications in Computer and Information Science; Vol. 1468).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks

AU - Ren, Bin

AU - Wang, Lin

AU - Wang, Xiaoyu

AU - Chen, Jiayu

PY - 2021

Y1 - 2021

N2 - At present, the manufacturing industry's energy consumption accounts for a large proportion of industrial energy consumption. Most of the research is on the manufacturing industry's energy consumption from the aspects of systems and equipment. However, people are an important factor affecting the manufacturing industry's energy consumption, and people's behaviour can be transmitted through the relationship network. Aiming at the energy-saving and consumption-reducing behaviour in manufacturing design and manufacturing process, a simulation algorithm of personnel energy-saving decision-making considering adjacency relation is proposed. The algorithm considers the influencing factors of people's behaviour decision. Based on adjacency relation, the energy consumption model of a random adjacency network is established. The adjacency network propagation of energy-saving behaviour is studied and verified by actual data. The suggestions of energy saving and consumption reduction considering the adjacency relationship are obtained, which is beneficial to reduce the manufacturing industry's energy consumption.

AB - At present, the manufacturing industry's energy consumption accounts for a large proportion of industrial energy consumption. Most of the research is on the manufacturing industry's energy consumption from the aspects of systems and equipment. However, people are an important factor affecting the manufacturing industry's energy consumption, and people's behaviour can be transmitted through the relationship network. Aiming at the energy-saving and consumption-reducing behaviour in manufacturing design and manufacturing process, a simulation algorithm of personnel energy-saving decision-making considering adjacency relation is proposed. The algorithm considers the influencing factors of people's behaviour decision. Based on adjacency relation, the energy consumption model of a random adjacency network is established. The adjacency network propagation of energy-saving behaviour is studied and verified by actual data. The suggestions of energy saving and consumption reduction considering the adjacency relationship are obtained, which is beneficial to reduce the manufacturing industry's energy consumption.

KW - Adjacency network

KW - Agent-based

KW - Energy-saving behavior

KW - Simulation study

UR - https://www.scopus.com/pages/publications/85118151406

UR - https://www.scopus.com/pages/publications/85118151406#tab=impact

U2 - 10.1007/978-981-16-7210-1_42

DO - 10.1007/978-981-16-7210-1_42

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-981-16-7209-5

T3 - Communications in Computer and Information Science

SP - 441

EP - 451

BT - Recent Advances in Sustainable Energy and Intelligent Systems

A2 - Li, Kang

A2 - Coombs, Tim

A2 - He, Jinghan

A2 - Tian, Yuchu

A2 - Niu, Qun

A2 - Yang, Zhile

PB - Springer

CY - Singapore

T2 - 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

Y2 - 30 October 2021 through 1 November 2021

ER -

Ren B, Wang L, Wang X, Chen J. Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks. In Li K, Coombs T, He J, Tian Y, Niu Q, Yang Z, editors, Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021 Hangzhou, China, October 30 – November 1, 2021 Proceedings, Part II. Singapore: Springer . 2021. p. 441-451. (Communications in Computer and Information Science). Epub 2021 Oct 19. doi: 10.1007/978-981-16-7210-1_42

Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

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