Selecting stratospheric airship energy storage system using analytic hierarchy process and physical programming

Abstract

An evaluation model for stratospheric airship energy storage system selection is developed, which provides a new method for quantitative selection of renewable energy storage system. Firstly, some basic properties and their indexes are proposed to evaluate the overall performance of stratospheric airship energy storage system by qualitative analysis of airship’s operation principium and operation environment. Secondly, the weights to be used as subperformance indexes coefficients of the model are obtained with analytic hierarchy process method. The normalization of the subperformance indexes is implemented by physical programming method which takes the decision maker's preferable degree into account and can convert the indexes with different physical meaning and magnitude into nondimensionless satisfaction level evaluation scores with the magnitude in the same quantity level. Thirdly, the weights and evaluation scores of candidate designs’ indexes are combined with the aggregate objective function in the form of specific scores and the optimal energy storage system concept can be found out. Finally, an example of stratospheric airship energy storage system selection is given to illustrate this method. Moreover, the method presented in this paper can be effectively applied to various decision-making scenarios.

Keywords

Stratospheric airship energy storage system analytic hierarchy process physical programming concept selection

Get full access to this article

View all access options for this article.

References

Colozza

Dolce

. High-altitude, long-endurance airships for coastal surveillance, Report, Ohio: Analex Corporation, 2005.

Khoury

Gillett

. Airship technology, 1st ed. Cambridge, England: Cambridge University Press, 1999, pp. 26–26.

. Configurations analysis for high-altitude/long-endurance airships. Aircr Eng Aerosp Tec 2010; 82: 48–59.

Jenkins

Samsundar

Neradka

. A design methodology for optimal power generation in high altitude airships using genetic algorithms. In: 3rd international energy conversion engineering conference, San Francisco: America, 2005, pp. 15–18. . August. VA, USA: AIAA Reston (AIAA 2005-5531).

Hou

Wang

Ouyang

. An analytic hierarchy process to evaluate PEM fuel cell engine performance. Int J Hydrogen Energ 2011; 36: 6780–6787.

Heo

Kim

Cho

. Selecting hydrogen production methods using a fuzzy analytic hierarchy process with opportunities, costs, and risks. Int J Hydrogen Energ 2012; 37: 17655–17662.

Aurbach

Zinigrad

Teller

. Facts which limit the cycle life of rechargeable lithium batteries. J Electrochem Soc 2000; 147: 1274–1279.

Lee

Choi

Park

. Electrochemical performance of lithium/sulfur batteries with protected li anodes. J Power Sources 2003; 119: 964–972.

Mullur

Mattson

Messac

. Pitfalls of the typical construction of decision matrices for concept selection. In: 41st aerospace sciences meeting and exhibit, Reno: USA, January 2003, pp. 6–9. . VA, USA: AIAA Reston (AIAA 2003-0466).

10.

Akay

Kulak

Henson

. Conceptual design evaluation using interval type-2 fuzzy information axiom. Comput Ind 2011; 62: 138–146.

11.

Subramanian

Ramanathan

. A review of applications of analytic hierarchy process in operations management. Int J Prod Econ 2012; 138: 215–241.

12.

Ishizaka

Labib

. Review of the main developments in the analytic hierarchy process. Expert Syst Appl 2011; 38: 14336–14345.

13.

Yang

. Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process. Energ Policy 2011; 39: 2343–2351.

14.

Messac

. Physical programming: Effective optimization for computational design. AIAA J 1996; 34: 149–158.

15.

Martinez

Messac

Rais-Rohani

. Manufacturability based optimization of aircraft structures using physical programming. AIAA J 2001; 39: 517–525.

16.

Messac

Batayneh

Ismail-Yahaya

. Production planning optimization with physical programming. Eng Optimiz 2002; 34: 323–340.

17.

Huang

Tian

Zuo

. Multi objective optimization of three-stage spur gear reduction units using interactive physical programming. J Mech Sci Technol 2005; 19: 1080–1086.