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Hybridized Biomass-driven Combined Heat and Power Systems Optimization Considering Reliability, Availability, and Maintainability Criteria

Title:

Hybridized Biomass-driven Combined Heat and Power Systems Optimization Considering Reliability, Availability, and Maintainability Criteria

Rezaei, Masoud (2025) Hybridized Biomass-driven Combined Heat and Power Systems Optimization Considering Reliability, Availability, and Maintainability Criteria. PhD thesis, Concordia University.

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Abstract

Despite the increasing use of renewables for energy supply and considering the history of using them for energy generation purposes, new challenges associated with their utilization emerge.
For biomass-powered energy systems, issues such as seasonality, supply chain problems, heat content of resources, weather pollution, environmental contamination, and energy conversion
limitations put the availability and affordability of such systems into question. The optimization of energy systems considering their reliability, availability, and maintainability (RAM) parameters and constraints could considerably affect system design and operation.
This research proposes and develops an integrated RAM-optimization methodology for hybrid biomass-powered energy systems. The methodology handles nonlinear single or multi-objective functions that minimize costs and emissions while satisfying RAM constraints. The methodology empowers designers to account for fuel and pollution chemical compositions, feedstock logistics and modular system configurations. Multiple Criteria Decision-Making (MCDM) techniques, such as TOPSIS, are used to help in the identification of optimal values based on system performance criteria.
Three progressive models were proposed and developed as part of the methodology.
The first model integrates biomass and geothermal modules for heat-only applications at a single-building scale. The second extends to biomass-based combined heat and power (BCHP)
systems at the district level based on the building model of the first case, explicitly integrating RAM function as constraints. The third model adds hydrogen production to heat and electricity generation, illustrating the framework's ability to be a trigeneration system for district-level deployment. Case studies, defined for Kuujjuaq in Northern Québec, Canada, help to validate the methodology9s application under real conditions.
Sensitivity analysis of such methodology and model is performed by scenarioizing and via scenarios considering biomass chemical compositions, distance from consumption areas, and RAM parameters for a single building or a complex of buildings. Validation of the results was performed by several activities such as expert feedback, optimization method features, and their results' comparative analysis.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (PhD)
Authors:Rezaei, Masoud
Institution:Concordia University
Degree Name:Ph. D.
Program:Civil Engineering
Date:6 July 2025
Thesis Supervisor(s):Nasiri, Fuzhan
Keywords:Biomass, optimization, Reliability, Availability, Maintainability,
ID Code:996195
Deposited By: MASOUD REZAEI
Deposited On:04 Nov 2025 15:32
Last Modified:04 Nov 2025 15:32
Related URLs:

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