Community-scale renewable energy systems planning under uncertainty—An interval chance-constrained programming approach

Cai, Yanpeng; Huang, Guohe; Zhang, Yang; Lin, Qianguo; Tan, Qian

doi:10.1016/j.rser.2008.01.008

Cited by 216 publications

(69 citation statements)

References 63 publications

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“…A large restructuring of the energy networks will probably be necessary in the future and this will entail the consideration of multiple objectives and multiple criteria, including the competition for land use. Examples related to design and planning decision problems, solved through mathematical programming and multicriteria approaches, can already be found in the literature at local scale (for example : Cai et al, 2009;Pohecar and Ramachandra, 2004;Ramachandra, 2009), but more flexible and integrated tools that couple environmental and decision models, databases and assessment tools, integrated under a GIS based Graphical User Interface (GUI) (Denzer, 2005;Matthies et al, 2007;Rizzoli and Young, 1997) are still necessary to implement Environmental Decision Support Systems that can operate on different territories and multiple scales to plan and manage an efficient mix of renewable energy sources. (Muffler et al, 1978).…”

Section: Resultsmentioning

confidence: 99%

Methods and tools to evaluate the availability of renewable energy sources

Angelis-Dimakis

Biberacher

Bravo

et al. 2011

Renewable and Sustainable Energy Reviews

336

128

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The recent statements of both the European Union and the US Presidency pushed in the direction of using renewable forms of energy, in order to act against climate changes induced by the growing concentration of carbon dioxide in the atmosphere. In this paper, a survey regarding methods and tools presently available to determine potential and exploitable energy in the most important renewable sectors (i.e., solar, wind, wave, biomass and geothermal energy) is presented. Moreover, challenges for each renewable resource are highlighted as well as the available tools that can help in evaluating the use of a mix of different sources.

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Section: Resultsmentioning

confidence: 99%

Methods and tools to evaluate the availability of renewable energy sources

Angelis-Dimakis

Biberacher

Bravo

et al. 2011

Renewable and Sustainable Energy Reviews

336

128

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“…Liu 2009), chance-constrained programming (e.g. Cai et al, 2009) and robust optimisation (e.g. Kasivisvanathan et al 2014a, b).…”

Section: Mathematical Optimisationmentioning

confidence: 99%

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

Andiappan

2017

Process Integr Optim Sustain

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An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review.

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“…All parameters and decision variables in a linear programming can be intervals (Huang et al, 1992). Specifically, an ILP model can be defined as follows (Cai et al, 2009;Nie et al, 2016:…”

Section: Interval Linear Programming (Ilp)mentioning

confidence: 99%

Inexact Fuzzy Stochastic Chance Constraint Programming for Emergency Evacuation in Qinshan Nuclear Power Plant under Uncertainty

Huang¹,

Nie²,

Guo³

et al. 2017

J ENVIRON INFORM

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ABSTRACT. Nuclear power accidents are one of the most dangerous disasters posing a lethal threat to human health and have detrimental effects lasting for decades. Therefore, emergency evacuation is important to minimize injuries and prevent lethal consequences resulting from a nuclear power accident. An inexact fuzzy stochastic chance constrained programming (IFSCCP) method is developed to address various uncertainties in evacuation management problems. It integrates the interval-parameter programming (IPP) and fuzzy stochastic chance constrained programming (FSCCP) methods into a general framework, in which the IPP method addresses the uncertainties presented as intervals defined by crisp lower and upper bounds, and the FCCP treat the dual-uncertainties expressed as fuzzy random variables. The measures of possibility and necessity were employed to convert the fuzzy random variables into crisp values to reflect the decision maker's pessimistic and optimistic preferences. The IFSCCP model is applied to support nuclear emergency evacuation management in the Qinshan Nuclear Power Site, which is one of the largest nuclear plants in China. The results provide stable intervals for the objective function and decision variables with different fuzzy and probability confidence levels regarding the local residents' distribution. Nine scenarios are analyzed to reflect the impacts of the imprecision (fuzziness and randomness) associated with the size of the population in a plume emergency planning zone. The results are valuable for supporting local decision makers to generate effective emergency evacuation strategies.

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Community-scale renewable energy systems planning under uncertainty—An interval chance-constrained programming approach

Cited by 216 publications

References 63 publications

Methods and tools to evaluate the availability of renewable energy sources

Methods and tools to evaluate the availability of renewable energy sources

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

Inexact Fuzzy Stochastic Chance Constraint Programming for Emergency Evacuation in Qinshan Nuclear Power Plant under Uncertainty

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