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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

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

An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part II. Case study

Cai, Y.P.; Huang, G.H.; Tan, Q.; Liu, L. - In: Renewable and Sustainable Energy Reviews 15 (2011) 6, pp. 3051-3073

In this study, a large-scale integrated modeling system (IMS) was applied for supporting climate change impact analysis and adaptation planning of the energy management system in the Province of Manitoba, Canada. The system was based on the integration of the fuzzy-interval inference method...

Persistent link: https://www.econbiz.de/10009145988

An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part I: Methodology

Cai, Y.P.; Huang, G.H.; Tan, Q.; Yang, Z.F. - In: Renewable and Sustainable Energy Reviews 15 (2011) 6, pp. 2779-2790

In this study, a large-scale integrated modeling system (IMS) was developed for supporting climate-change impact analysis and adaptation planning under multi-level uncertainties. A number of methodologies were seamlessly incorporated within IMS, including fuzzy-interval inference method (FIIM),...

Persistent link: https://www.econbiz.de/10009146011

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

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

Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management

Li, G.C.; Huang, G.H.; Lin, Q.G.; Zhang, X.D.; Tan, Q.; … - In: Energy 36 (2011) 5, pp. 3388-3398

Multiple dynamics and uncertainties are involved in regional energy and greenhouse gas management (REGM) system, confronting decision makers during plan/policy makings. In this study, a greenhouse gas (GHG)-mitigation oriented inexact dynamic energy system management model (IFMP-REGM) is...

Persistent link: https://www.econbiz.de/10010807357