Development of the ECLSS Sizing Analysis Tool and ARS Mass Balance Model Using Microsoft® Excel

McGlothlin, E.P.; Yeh, H. Y.; Lin, Chong

doi:10.4271/1999-01-2080

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…As an approximation which allows model linearity, it is assumed that the ESM attributes of the technologies change linearly with their capacities. This approximation has been used in "advanced life-support sizing analysis tool" [8,9] for technologies whose size depends on the daily throughputs, and has been suggested by Levri et al [25]. Accordingly, the decision variables can be defined as:…”

Section: Diet Optimizationmentioning

confidence: 99%

“…Finn [6] performed a steady-state mass balance calculation for "Bioregenerative Planetary Life-Support Systems Test Complex" [7] to investigate design issues regarding storage and/or processing of solid wastes. McGlothlin et al [8] carried out mass balance calculations for the water recovery and air-revitalization systems and developed a sizing tool useful for the conceptual design of lifesupport systems. In a later study [9], a tool for sizing the waste-management system and biomass production chamber is added to the model originally developed by McGlothlin et al [8].…”

Section: Introductionmentioning

confidence: 99%

“…McGlothlin et al [8] carried out mass balance calculations for the water recovery and air-revitalization systems and developed a sizing tool useful for the conceptual design of lifesupport systems. In a later study [9], a tool for sizing the waste-management system and biomass production chamber is added to the model originally developed by McGlothlin et al [8].…”

Section: Introductionmentioning

confidence: 99%

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A novel approach for life-support-system design for manned space missions

et al. 2009

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Section: Diet Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel approach for life-support-system design for manned space missions

et al. 2009

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“…The works presented in the literature can be grouped into three major categories. First group of studies concentrate on mass balance studies (Volk and Rummel, 1987;Drysdale, 1992;Drysdale et al, 1994a;Drysdale et al, 1994b;Drysdale, 1997a;Drysdale, 1997b;Finn, 1998;McGlothlin et al, 1999; Baro et al, 1999). Usually early studies fall into this category.…”

Section: Introductionmentioning

confidence: 99%

Aggregate System Level Material Analysis for Advanced Life Support Systems

Aydogan¹,

Orçun²,

Blau³

et al. 2003

SAE Technical Paper Series

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In this paper, an aggregate system level modeling and analysis framework is proposed to facilitate the integration and design of advanced life support systems (ALSS). As in process design, the goal is to choose values for the degrees of freedom that achieve the best overall ALSS behavior without violating any system constraints. At the most fundamental level, this effort will identify the constraints and degrees of freedom associated with each subsystem and provide estimates of the system behavior and interactions involved in ALSS. This work is intended to be a starting point for developing insights into ALSS from a systems engineering point of view. At this level, simple aggregate static input/output mapping subsystem models from existing data and the NASA ALS BVAD document are used to debug the model and demonstrate feasibility. Table 1. Entity and component list Entity Components Carbon dioxide Carbon Dioxide Edible Food Dry edible mass (DEM), Water Human Waste Dry solid waste (DSW), Water, Brine Non-edible Stuff Dry non-edible mass (DNEM), Water Oxygen Oxygen Raw Food DEM, DNEM, Water Waste DSW, Water, Brine Water Water Meal DEM, Water completely based on a mission scenario without leaving out any degrees of freedom. This also requires technologies to be specified in order to be able to complete the study.

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