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An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city
Dong, C.; Huang, G.H.; Cai, Y.P.; Liu, Y. - In: Energy 37 (2012) 1, pp. 673-688
In this study, an inexact optimization modeling approach (IBEM: inexact Beijing energy model) was developed for supporting energy systems planning and air pollution mitigation under uncertainty. This model was based on the integration of multiple inexact optimization techniques, including...
Persistent link: https://www.econbiz.de/10010807262
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Robust planning of energy management systems with environmental and constraint-conservative considerations under multiple uncertainties
Dong, C.; Huang, G.H.; Cai, Y.P.; Liu, Y. - In: Energy conversion and management : ECM 65 (2013), pp. 471-486
Persistent link: https://www.econbiz.de/10010053146
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A simulation-based fuzzy possibilistic programming model for coal blending management with consideration of human health risk under uncertainty
Dai, C.; Cai, X.H.; Cai, Y.P.; Huang, G.H. - In: Applied Energy 133 (2014) C, pp. 1-13
In this research, a simulation-based fuzzy possibilistic programming (SFPP) model was advanced through integrating California puff (CALPUFF), fuzzy sets theory and inexact optimization within a general framework. It has advantages in uncertainty reflection, pollutant dispersion modeling, and the...
Persistent link: https://www.econbiz.de/10010930630
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Radial interval chance-constrained programming for agricultural non-point source water pollution control under uncertainty
Tan, Q.; Huang, G.H.; Cai, Y.P. - In: Agricultural Water Management 98 (2011) 10, pp. 1595-1606
Inherent uncertainties in agricultural non-point source water pollution control problems cause great difficulties in relevant modeling processes. A radial interval chance-constrained programming (RICCP) approach was developed in this study for supporting source-oriented non-point source...
Persistent link: https://www.econbiz.de/10009249250
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Development of an inexact optimization model for coupled coal and power management in North China
Liu, Y.; Huang, G.H.; Cai, Y.P.; Cheng, G.H.; Niu, Y.T.; … - In: Energy policy 37 (2009) 11, pp. 4345-4363
Persistent link: https://www.econbiz.de/10008323382
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Development of an inexact optimization model for coupled coal and power management in North China
Liu, Y.; Huang, G.H.; Cai, Y.P.; Cheng, G.H.; Niu, Y.T.; … - In: Energy policy 37 (2009) 11, pp. 4345-4364
Persistent link: https://www.econbiz.de/10008895975
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Development of an inexact optimization model for coupled coal and power management in North China
Liu, Y.; Huang, G.H.; Cai, Y.P.; Cheng, G.H.; Niu, Y.T.; … - In: Energy Policy 37 (2009) 11, pp. 4345-4363
In this study, an inexact coupled coal and power management (ICCPM) model was developed for planning coupled coal and power management systems through integrating chance-constrained programming (CCP), interval linear programming (ILP) and mixed integer linear programming (MILP) techniques. The...
Persistent link: https://www.econbiz.de/10008473768
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Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment
Cai, Y.P.; Huang, G.H.; Tan, Q.; Yang, Z.F. - In: Renewable Energy 34 (2009) 7, pp. 1833-1847
In this study, an interval-parameter superiority–inferiority-based two-stage programming model has been developed for supporting community-scale renewable energy management (ISITSP-CREM). This method is based on an integration of the existing interval linear programming (ILP), two-stage...
Persistent link: https://www.econbiz.de/10010804840
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Identification of optimal strategies for energy management systems planning under multiple uncertainties
Cai, Y.P.; Huang, G.H.; Yang, Z.F.; Tan, Q. - In: Applied Energy 86 (2009) 4, pp. 480-495
Management of energy resources is crucial for many regions throughout the world. Many economic, environmental and political factors are having significant effects on energy management practices, leading to a variety of uncertainties in relevant decision making. The objective of this research is...
Persistent link: https://www.econbiz.de/10008919361
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Community-scale renewable energy systems planning under uncertainty--An interval chance-constrained programming approach
Cai, Y.P.; Huang, G.H.; Yang, Z.F.; Lin, Q.G.; Tan, Q. - In: Renewable and Sustainable Energy Reviews 13 (2009) 4, pp. 721-735
In this study, an inexact community-scale energy model (ICS-EM) has been developed for planning renewable energy management (REM) systems under uncertainty. This method is based on an integration of the existing interval linear programming (ILP), chance-constrained programming (CCP) and mixed...
Persistent link: https://www.econbiz.de/10008920697