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1. Planning renewable energy in electric power system for sustainable development under uncertainty – A case study of Beijing

Author:
Huang, G.H.,   et al.   ; Nie, S.; Huang, Charley Z.; Li, Y.P.; Chen, J.P.; Fan, Y.R.; Cheng, G.H.;     Show all 7 Authors
Source:
Applied energy 2016 v.162 pp. 772-786
ISSN:
0306-2619
Subject:
case studies; coal; electric power; electricity; energy; greenhouse gas emissions; greenhouse gases; models; planning; pollutants; power generation; renewable energy sources; sustainable development; system optimization; uncertainty; China
Abstract:
... An interval type-2 fuzzy fractional programming (IT2FFP) method is developed for planning the renewable energy in electric power system for supporting sustainable development under uncertainty. IT2FFP can tackle output/input ratio problems where complex uncertainties are expressed as type-2 fuzzy intervals (T2FI) with uncertain membership functions. The IT2FFP method is then applied to planning Be ...
DOI:
10.1016/j.apenergy.2015.10.158

2. A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China

Author:
Huang, G.H.,   et al.   ; Yu, L.; Li, Y.P.;     Show all 3 Authors
Source:
Energy 2016 v.98 pp. 190-203
ISSN:
0360-5442
Subject:
Monte Carlo method; case studies; decision making; electric power; electricity; electricity generation; models; planning; pollutants; prediction; risk; uncertainty; China
Abstract:
... In this study, a FSSOM (fuzzy-stochastic simulation-optimization model) is developed for planning EPS (electric power systems) with considering peak demand under uncertainty. FSSOM integrates techniques of SVR (support vector regression), Monte Carlo simulation, and FICMP (fractile interval chance-constrained mixed-integer programming). In FSSOM, uncertainties expressed as fuzzy boundary intervals ...
DOI:
10.1016/j.energy.2016.01.021

3. Crop planning and water resource allocation for sustainable development of an irrigation region in China under multiple uncertainties

Author:
Huang, G.H.,   et al.   ; Niu, G.; Li, Y.P.; Liu, J.; Fan, Y.R.;     Show all 5 Authors
Source:
Agricultural water management 2016 v.166 pp. 53-69
ISSN:
0378-3774
Subject:
arid zones; attitudes and opinions; corn; cropland; crops; food production; irrigation; issues and policy; oils; planning; probability distribution; resource allocation; sustainable development; uncertainty; water allocation; water shortages; wheat; China
Abstract:
... In this study, an interactive two-stage fuzzy stochastic programming (ITFSP) method is developed for supporting crop planning and water resource allocation under uncertainty. ITFSP can effectively address uncertainties expressed as probability distributions and fuzzy-boundary intervals. It can also be utilized for in-depth analyzing different policy scenarios that are integrated with various econo ...
DOI:
10.1016/j.agwat.2015.12.011

4. A fractional-factorial probabilistic-possibilistic optimization framework for planning water resources management systems with multi-level parametric interactions

Author:
Huang, G.H.,   et al.   ; Wang, S.; Zhou, Y.;     Show all 3 Authors
Source:
Journal of environmental management 2016 v.172 pp. 97-106
ISSN:
0301-4797
Subject:
attitudes and opinions; decision making; factor analysis; issues and policy; management systems; planning; uncertainty; water allocation; water resources
Abstract:
... In this study, a multi-level factorial-vertex fuzzy-stochastic programming (MFFP) approach is developed for optimization of water resources systems under probabilistic and possibilistic uncertainties. MFFP is capable of tackling fuzzy parameters at various combinations of α-cut levels, reflecting distinct attitudes of decision makers towards fuzzy parameters in the fuzzy discretization process bas ...
DOI:
10.1016/j.jenvman.2016.02.019

5. Inexact mixed-integer programming with interval-valued membership function for sustainable power-generation capacity planning

Author:
Huang, G.H.,   et al.   ; Jin, S.W.; Li, Y.P.; Zhang, K.;     Show all 4 Authors
Source:
Journal of cleaner production 2016 v.122 pp. 52-66
ISSN:
0959-6526
Subject:
air pollution; case studies; electric power; electricity; energy; issues and policy; linear programming; planning; pollution control; power generation; renewable energy sources; resource allocation; sustainable development; uncertainty
Abstract:
... In this study, inexact mixed-integer linear programming with interval-valued membership function (IMILP-IMF) is developed for power-generation capacity planning. IMILP-IMF can deal with uncertainties described as fuzzy sets with interval-valued membership function, and allows uncertainties to be directly communicated into the optimization process and the resulting solution. IMILP-IMF is applied to ...
DOI:
10.1016/j.jclepro.2016.02.066

6. A risk-based interactive multi-stage stochastic programming approach for water resources planning under dual uncertainties

Author:
Huang, G.H.,   et al.   ; Wang, Y.Y.; Wang, S.; Li, W.; Guan, P.B.;     Show all 5 Authors
Source:
Advances in water resources 2016 v.94 pp. 217-230
ISSN:
0309-1708
Subject:
decision making; planning; resource allocation; risk; uncertainty; water allocation; water policy; water resources
Abstract:
... In this study, a risk-based interactive multi-stage stochastic programming (RIMSP) approach is proposed through incorporating the fractile criterion method and chance-constrained programming within a multi-stage decision-making framework. RIMSP is able to deal with dual uncertainties expressed as random boundary intervals that exist in the objective function and constraints. Moreover, RIMSP is cap ...
DOI:
10.1016/j.advwatres.2016.05.011

7. A simulation-based water-environment management model for regional sustainability in compound wetland ecosystem under multiple uncertainties

Author:
Huang, G.H.,   et al.   ; Zeng, X.T.; Chen, H.L.; Li, Y.P.; Kong, X.M.; Fan, Y.R.;     Show all 6 Authors
Source:
Ecological modelling 2016 v.334 pp. 60-77
ISSN:
0304-3800
Subject:
cost effectiveness; ecosystems; humans; hydrology; issues and policy; models; planning; pollution control; risk reduction; socioeconomic development; temporal variation; uncertainty; water allocation; watersheds; wetlands; China
Abstract:
... In this study, a simulation-based water-environment management model with Laplace scenario analysis (SWML) is developed for planning regional sustainability in compound wetland ecosystem. SWML can not only deal with spatial and temporal variations of hydrologic elements within the watershed, but also handle multiple uncertainties presented in terms of probability, possibility distributions, and fu ...
DOI:
10.1016/j.ecolmodel.2016.04.021

8. Planning regional ecosystem sustainability under multiple uncertainties—An interval stochastic credibility-constrained programming approach

Author:
Huang, G.H.,   et al.   ; Zhang, K.; Li, Y.P.; Jin, S.W.;     Show all 4 Authors
Source:
Ecological indicators 2016 v.70 pp. 134-150
ISSN:
1470-160X
Subject:
ecosystem services; ecosystems; industry; models; oil fields; planning; probability distribution; runoff; sustainable development; uncertainty; China
Abstract:
... Inherent uncertainties in regional ecosystems can affect the modeling processes and the relevant results for managing and planning the real-world problems. In this study, an interval stochastic credibility-constrained programming (ISCP) method is developed for tacking multiple uncertainties expressed as intervals, fuzzy sets and probability distributions. The ISCP method is applied to planning reg ...
DOI:
10.1016/j.ecolind.2016.06.007

9. Electric power system planning with renewable energy accommodation for supporting the sustainable development of Tangshan City, China

Author:
Huang, G.H.,   et al.   ; Zhen, J.L.; Li, W.; Wu, C.B.; Wang, S.;     Show all 5 Authors
Source:
Journal of cleaner production 2016 v.139 pp. 1308-1325
ISSN:
0959-6526
Subject:
air pollution; business enterprises; coal; cost effectiveness; electric power; electricity; energy; issues and policy; models; planning; pollutants; pollution control; power generation; prices; probability distribution; renewable energy sources; sustainable development; uncertainty; China
Abstract:
... In this study, considering break the original energy structure dominated by coal and make the most use of renewable energy in the future, an inexact stochastic robust mixed-integer programming (ITSRMP) method was developed for supporting regional electric power system management in Tangshan City, China. The developed method incorporated interval-parameter programming (IPP), stochastic robust optim ...
DOI:
10.1016/j.jclepro.2016.08.143

10. Planning carbon dioxide mitigation of Qingdao's electric power systems under dual uncertainties

Author:
Huang, G.H.,   et al.   ; Yu, L.; Li, Y.P.; Li, Y.F.; Nie, S.;     Show all 5 Authors
Source:
Journal of cleaner production 2016 v.139 pp. 473-487
ISSN:
0959-6526
Subject:
Monte Carlo method; carbon; carbon dioxide; climate change; coal; electric power; electricity; greenhouse gas emissions; greenhouses; planning; prediction; uncertainty; urbanization; China
Abstract:
... Coupling with rapid economic development and continual urban expansion, CO2 as the dominant contributor to the greenhouse has aggravated the global climate change, such that achieving the joint goal of increasing electricity demand and mitigating CO2 emission become crucial to plan electric power systems (EPS). Various complexities and uncertainties exist in the real-world EPS problems, which can ...
DOI:
10.1016/j.jclepro.2016.08.064