Simulating Energy-Saving and Consuming Behaviours in the Design and Manufacturing Process with Adjacent Networks
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| 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 |
| Publication status | Published - 2021 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1468 |
| ISSN (Print) | 1865-0929 |
| ISSN (electronic) | 1865-0937 |
Conference
| Title | 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 October - 1 November 2021 |
Link(s)
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.
Research Area(s)
- Adjacency network, Agent-based, Energy-saving behavior, Simulation study
Citation Format(s)
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).
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
