2023
DOI: 10.1016/j.compchemeng.2023.108196
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A generalized disjunctive programming model for the optimal design of reverse electrodialysis process for salinity gradient-based power generation

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Cited by 4 publications
(4 citation statements)
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“…The objective function of Tristán et al’s (2023) [ 30 ] model maximizes the net present value (NPV, in EUR) of the RED plant, as given in Equation (1): where TNP is the total net power (kW), is the load factor or the actual working hours of the RED plant (as % of the total hours in a year), is the electricity price (EUR/kWh), cp is the carbon price (EUR/tCO 2e ), ef is the emission factor (expressed in kg CO 2e /kWh), and CRF is the capital recovery factor (−). Disbursement flows involve the incurred annualized capital and yearly operational expenses that yield the total annual cost (TAC in EUR/year, defined by Equation (2)) of the RED process.…”
Section: Methodsmentioning
confidence: 99%
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“…The objective function of Tristán et al’s (2023) [ 30 ] model maximizes the net present value (NPV, in EUR) of the RED plant, as given in Equation (1): where TNP is the total net power (kW), is the load factor or the actual working hours of the RED plant (as % of the total hours in a year), is the electricity price (EUR/kWh), cp is the carbon price (EUR/tCO 2e ), ef is the emission factor (expressed in kg CO 2e /kWh), and CRF is the capital recovery factor (−). Disbursement flows involve the incurred annualized capital and yearly operational expenses that yield the total annual cost (TAC in EUR/year, defined by Equation (2)) of the RED process.…”
Section: Methodsmentioning
confidence: 99%
“…This section summarizes the main equations and assumptions of the optimization model developed by Tristán et al (2023), which are detailed in depth in their publication of Computers and Chemical Engineering [30]. The optimization model is formulated as a Generalized Disjunctive Programming (GDP) problem that incorporates a finitedifference RED stack model from our research group to define the cost-optimal process design.…”
Section: Techno-economic Assessmentmentioning
confidence: 99%
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