Analysis of Extreme Random Uncertainty in Energy and Environment Systems for Coal-Dependent City by a Copula-Based Interval Cost–Benefit Stochastic Approach DOI Open Access
Yanzheng Liu,

Jicong Tan,

Wei Zhao

и другие.

Sustainability, Год журнала: 2024, Номер 16(2), С. 745 - 745

Опубликована: Янв. 15, 2024

Extreme random events will interfere with the inversion analysis of energy and environment systems (EES) make planning schemes unreliable. A Copula-based interval cost–benefit stochastic programming (CICS) is proposed to deal extreme uncertainties. Taking Yulin city as an example, there are nine constraint-violation scenarios six coal-reduction designed. The results disclose that (i) both system cost pollutant emission would decrease industrial supply level increases; (ii) when primary secondary output increases by 9% 13%, respectively, coal decreases 40%, coal-dependent index be lowest, corresponding profitability could reach [29.3, 53.0] %; (iii) compared traditional chance-constrained programming, can reflect more uncertain information achieve a higher marginal net present value rate. Overall, CICS-EES model offers novel approach gain insight into tradeoff between reliability profitability.

Язык: Английский

The rock breaking mechanism and application effect of pulse type controllable shock wave DOI Creative Commons
Zhujun Han,

Meijuan Liu,

Jingchen Zhang

и другие.

Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Год журнала: 2025, Номер 11(1)

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0
Analysis of Extreme Random Uncertainty in Energy and Environment Systems for Coal-Dependent City by a Copula-Based Interval Cost–Benefit Stochastic Approach DOI Open Access
Yanzheng Liu,

Jicong Tan,

Wei Zhao

и другие.

Sustainability, Год журнала: 2024, Номер 16(2), С. 745 - 745

Опубликована: Янв. 15, 2024

Extreme random events will interfere with the inversion analysis of energy and environment systems (EES) make planning schemes unreliable. A Copula-based interval cost–benefit stochastic programming (CICS) is proposed to deal extreme uncertainties. Taking Yulin city as an example, there are nine constraint-violation scenarios six coal-reduction designed. The results disclose that (i) both system cost pollutant emission would decrease industrial supply level increases; (ii) when primary secondary output increases by 9% 13%, respectively, coal decreases 40%, coal-dependent index be lowest, corresponding profitability could reach [29.3, 53.0] %; (iii) compared traditional chance-constrained programming, can reflect more uncertain information achieve a higher marginal net present value rate. Overall, CICS-EES model offers novel approach gain insight into tradeoff between reliability profitability.

Язык: Английский

Процитировано

0