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This chapter presents an exergy-based evaluation of an outdoor macroalgae photobioreactor (MPBR) system cultivated with Ulva species under semi-controlled environmental conditions. By quantifying exergy inputs—including solar radiation, mechanical aeration, and nutrient supplementation—against the accumulated exergy of produced biomass, the study provides insight into the thermodynamicThermodynamic analysis and environmental performance of small-scale macroalgal cultivation systems. The results demonstrate that solar irradianceSolar irradiance is the primary driver of biomass growth and exergy return on investment (ExROI), whereas elevated temperatures can inhibit productivity by exceeding species-specific thermal tolerance. Through comparative benchmarking with microalgae-based systems and integration of sensitivity modeling, the chapter identifies optimal biomass density thresholds that enhance efficiency before light limitation due to self-shading sets in. While current performance levels remain below exergy parity, the analysis highlights pathways for improvement via cultivation density management, nutrient dosing strategies, and reactor design refinements. Positioned within the broader context of sustainable bioresource engineering, this framework contributes to the development of evaluation tools for future algae-based energy and bioproduct systems in both urban and coastal settings.

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Models at Work: Exergy Model and Analysis of Outdoor MPBR System

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  • 发表日期：

    2025年

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  • Meiron Zollmann,
  • Alexander Liberzon,
  • Alexander Golberg

摘要

This chapter presents an exergy-based evaluation of an outdoor macroalgae photobioreactor (MPBR) system cultivated with Ulva species under semi-controlled environmental conditions. By quantifying exergy inputs—including solar radiation, mechanical aeration, and nutrient supplementation—against the accumulated exergy of produced biomass, the study provides insight into the thermodynamicThermodynamic analysis and environmental performance of small-scale macroalgal cultivation systems. The results demonstrate that solar irradianceSolar irradiance is the primary driver of biomass growth and exergy return on investment (ExROI), whereas elevated temperatures can inhibit productivity by exceeding species-specific thermal tolerance. Through comparative benchmarking with microalgae-based systems and integration of sensitivity modeling, the chapter identifies optimal biomass density thresholds that enhance efficiency before light limitation due to self-shading sets in. While current performance levels remain below exergy parity, the analysis highlights pathways for improvement via cultivation density management, nutrient dosing strategies, and reactor design refinements. Positioned within the broader context of sustainable bioresource engineering, this framework contributes to the development of evaluation tools for future algae-based energy and bioproduct systems in both urban and coastal settings.