TY - JOUR
T1 - An agent-based spatiotemporal integrated approach to simulating in-home water and related energy use behaviour
T2 - A test case of Beijing, China
AU - Zhuge, Chengxiang
AU - Yu, Min
AU - Wang, Chunyan
AU - Cui, Yilan
AU - Liu, Yi
N1 - Funding Information:
This work was supported by the Hong Kong Polytechnic University [1-BE2J], the ERC Starting Grant # 678799 for the SILCI project (Social Influence and disruptive Low Carbon Innovation) and the National Natural Science Foundation of China [Grant Numbers: 71974110 ; 71774096 ]. Appendix A
Funding Information:
This work was supported by the Hong Kong Polytechnic University [1-BE2J], the ERC Starting Grant #678799 for the SILCI project (Social Influence and disruptive Low Carbon Innovation) and the National Natural Science Foundation of China [Grant Numbers: 71974110; 71774096].
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/3/15
Y1 - 2020/3/15
N2 - Water and energy consumptions in the residential sector are highly correlated. A better understanding of the correlation would help save both water and energy, for example, through technological innovations, management and policies. Recently, there is an increasing need for a higher spatiotemporal resolution in the analysis and modelling of water-energy demand, as the results would be more useful for policy analysis and infrastructure planning in both water and energy systems. In response, this paper developed an agent-based spatiotemporal integrated approach to simulate the water-energy consumption of each household or person agent in second throughout a whole day, considering the influences of out-of-home activities (e.g., work and shopping) on in-home activities (e.g., bathing, cooking and cleaning). The integrated approach was tested in the capital of China, Beijing. The temporal results suggested that the 24-hour distributions of water and related energy consumptions were quite similar, and the water-energy consumptions were highly correlated (with a Pearson correlation coefficient of 0.89); The spatial results suggested that people living in the central districts and the central areas of the outer districts tended to consume more water and related energy, and also the water-energy correlation varies across space. Such spatially and temporally explicit results are expected to be useful for policy making (e.g., time-of-use tariffs) and infrastructure planning and optimization in both water and energy sectors.
AB - Water and energy consumptions in the residential sector are highly correlated. A better understanding of the correlation would help save both water and energy, for example, through technological innovations, management and policies. Recently, there is an increasing need for a higher spatiotemporal resolution in the analysis and modelling of water-energy demand, as the results would be more useful for policy analysis and infrastructure planning in both water and energy systems. In response, this paper developed an agent-based spatiotemporal integrated approach to simulate the water-energy consumption of each household or person agent in second throughout a whole day, considering the influences of out-of-home activities (e.g., work and shopping) on in-home activities (e.g., bathing, cooking and cleaning). The integrated approach was tested in the capital of China, Beijing. The temporal results suggested that the 24-hour distributions of water and related energy consumptions were quite similar, and the water-energy consumptions were highly correlated (with a Pearson correlation coefficient of 0.89); The spatial results suggested that people living in the central districts and the central areas of the outer districts tended to consume more water and related energy, and also the water-energy correlation varies across space. Such spatially and temporally explicit results are expected to be useful for policy making (e.g., time-of-use tariffs) and infrastructure planning and optimization in both water and energy sectors.
KW - Activity-based modelling
KW - Agent-based modelling
KW - Consumption behaviour
KW - House appliances
KW - Nexus of water and energy
UR - http://www.scopus.com/inward/record.url?scp=85076601016&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2019.135086
DO - 10.1016/j.scitotenv.2019.135086
M3 - Journal article
C2 - 31806314
AN - SCOPUS:85076601016
SN - 0048-9697
VL - 708
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 135086
ER -