TY - JOUR
T1 - What influences industrial enterprises’ willingness of demand response
T2 - A survey in Qinghai, China
AU - Xu, Qingyang
AU - Lin, Lin
AU - Liang, Qiao Mei
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/11/20
Y1 - 2023/11/20
N2 - Although demand response (DR) is an important means for solving the stability and reliability challenges of renewable energy (RE) power systems, it remains unclear how DR can be widely applied in industrial enterprises, particularly in areas with a high proportional RE system and industrial energy consumption that do not apply any DR programs. The objective of this study is to understand the influencing factors of industrial enterprises' willingness to participate (WTP) in DR in these areas, including one economic factor and three noneconomic factors. This study performs a questionnaire survey in Qinghai, and a total of 556 industrial enterprises completed valid questionnaires, these data are empirically analyzed through Structural Equation Model. The results demonstrate enterprises' DR awareness degree is the most significant predictors of the WTP in DR. Meanwhile, enterprises' electricity consumption level also had a significant impact on the WTP in DR rather than enterprises' potential DR capabilities and the expected minimum compensation. Finally, the study suggests feasible recommendations, such as increasing enterprises' ability of analyzing potential DR, directly encouraging enterprises to participate in DR, designing compensation standards and adopting differentiated DR according to enterprises’ actual DR potential.
AB - Although demand response (DR) is an important means for solving the stability and reliability challenges of renewable energy (RE) power systems, it remains unclear how DR can be widely applied in industrial enterprises, particularly in areas with a high proportional RE system and industrial energy consumption that do not apply any DR programs. The objective of this study is to understand the influencing factors of industrial enterprises' willingness to participate (WTP) in DR in these areas, including one economic factor and three noneconomic factors. This study performs a questionnaire survey in Qinghai, and a total of 556 industrial enterprises completed valid questionnaires, these data are empirically analyzed through Structural Equation Model. The results demonstrate enterprises' DR awareness degree is the most significant predictors of the WTP in DR. Meanwhile, enterprises' electricity consumption level also had a significant impact on the WTP in DR rather than enterprises' potential DR capabilities and the expected minimum compensation. Finally, the study suggests feasible recommendations, such as increasing enterprises' ability of analyzing potential DR, directly encouraging enterprises to participate in DR, designing compensation standards and adopting differentiated DR according to enterprises’ actual DR potential.
KW - Demand response
KW - High penetration of renewable energy systems
KW - Industrial enterprises
KW - Structural equation model
UR - http://www.scopus.com/inward/record.url?scp=85175035914&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2023.139483
DO - 10.1016/j.jclepro.2023.139483
M3 - Article
AN - SCOPUS:85175035914
SN - 0959-6526
VL - 428
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 139483
ER -