A Design Methodology for Optimal Power Generation in High Altitude Airships Using Genetic Algorithms

Jenkins, J.; Samsundar, John; Neradka, Vincent F.

doi:10.2514/6.2005-5531

Cited by 7 publications

(7 citation statements)

References 2 publications

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“…This cycle continues until mass, volume and power equilibrium is achieved. So the high‐altitude/long‐endurance airship subsystem interdependencies result in a solution that must satisfy the following (Jenkins et al , 2005): Buoyancy balance. Volume of the airship must be sufficient so that it will float at the desired altitude with the attendant weight. Energy balance.…”

Section: High‐altitude/long‐endurance Airship Conceptual Parameters Estimation Modelmentioning

confidence: 99%

“…Several methodologies and procedures for obtaining baseline specifications of airship were available (Pant, 2003; Xiaoliang and Xuexiong, 2006; Busman, 1995; Lobbia and Gong, 2006; Jenkins et al , 2005; Wujun et al , 2007; Lan et al , 2007; Yangjin et al , 2003; Haifeng et al , 2007b; Wei et al , 2007; Ganglin et al , 2008). Pant (2003) presented a methodology for determination of baseline specifications.…”

Section: Introductionmentioning

confidence: 99%

“…Lobbia and Gong (2006) developed a spreadsheet model to provide subsystem‐level mass sizing of airship configurations. Jenkins et al (2005) demonstrated that genetic algorithms can be used to design high‐altitude reconnaissance vehicle. Wujun et al (2007) proposed a method to determine the minimum pressure and to evaluate the load capacity, and the internal forces and stress also were formulated.…”

Section: Introductionmentioning

confidence: 99%

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Configurations analysis for high‐altitude/long‐endurance airships

2010

Aircraft Engineering and Aerospace Technology

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PurposeIn recent years, high‐altitude/long‐endurance airship platforms have generated great interest as a means to provide communications and surveillance capabilities. The purpose of this paper is to develop a model for airship conceptual design and help provide insight into the viability of high‐altitude/long‐endurance airships.Design/methodology/approachA configuration analysis model with the consideration of pressure difference, temperature difference, and helium purity, etc. was developed. The influences of the airship payload, size and area required of solar cell with environment and operation parameters, such as operation latitude, pressure difference, temperature difference, helium purity, seasons, latitude, and wind speed, etc. were analyzed.FindingsThe results show that the area of solar cell required for stratospheric airship is very large under the condition of low altitude, high latitude, wind, and in winter, etc. which might make the design of high‐altitude/long‐endurance airship an elusive goal. They also show that the solar cell efficiency is the key technology in the control of solar cell area required for airships, and the technology advances in regenerative fuel cells and propeller efficiency have significant effects among on the airship payload, size, and solar cell area required for airship.Originality/valueThe paper analyses the energy balance of the high‐altitude/long‐endurance airship.

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Section: High‐altitude/long‐endurance Airship Conceptual Parameters Estimation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Configurations analysis for high‐altitude/long‐endurance airships

2010

Aircraft Engineering and Aerospace Technology

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“…During the process of stratospheric airship design, energy generation, storage, and management are a primary design challenge. 4 To generate enough power for running airship’s propulsion system, overhead, and payload functions without bringing larger weight to airship, thin-film photovoltaic panel is used. For stratospheric airship energy storage system (SAESS), there are several candidate designs.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Wang

Yang

2014

Proceedings of the Institution of Mechanical Engineers, Part G:

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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.

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“…Marcus A. Lobbia and Richard H. Gong presented a modular sizing model which has been proved useful in implementing a variety of submodels, and identified that rigid airship configuration has more difficulties in capability of reaching high altitude using traditional approaches [5]. Jason E. Jenkins, etc applied genetic algorithms to optimal design the HARVe power generation system, subject to constraints on vehicle buoyancy and energy balance [6].…”

Section: Introductionmentioning

confidence: 99%

Analysis to Effects on Conceptual Parameters of Stratospheric Airship with Specified Factors

Chen¹,

Zhu²,

Sun³

2011

JCP

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<p>Stratospheric airship is capable of station-keeping at high altitude in precondition of the balance of buoyancy and weight, thrust and drag. Based on specific computation process, when some hypotheses are given, the length of airship can be calculated and it is emphasized to analyze the impacts on payload capability performance and conceptual parameters (such as length, surface area and volume) with altitude, latitude of station-keeping and pressure difference, temperature difference, helium purity. It is shown from the analyses that pressure difference, temperature difference and helium purity have fewer effects on payload capability and length of airship, and in contrast, altitude and latitude of station-keeping have the larger effects. On the other hand, effects on payload capability and length with each technology guideline are also discussed when specified operation parameters keep constant, such as altitude and design wind of station-keeping. It is concluded that the benefit to length and payload capability is the largest with improvement of envelope mass/area ratio but the least with improvement of propeller system efficiency.</p>

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A Design Methodology for Optimal Power Generation in High Altitude Airships Using Genetic Algorithms

Cited by 7 publications

References 2 publications

Configurations analysis for high‐altitude/long‐endurance airships

Configurations analysis for high‐altitude/long‐endurance airships

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

Analysis to Effects on Conceptual Parameters of Stratospheric Airship with Specified Factors

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