Circular brine-valorisation chains offer a promising route to address water scarcity and critical raw-material recovery, but their large electrical and thermal energy demands can offset environmental benefits if powered by fossil sources. This work develops a fully integrated, hourly resolved simulation and multi-objective optimisation framework for the CARMEn treatment chain − combining nanofiltration, Mg(OH)2 precipitation, softening, electrodialysis with bipolar membranes, membrane distillation and reverse electrodialysis – coupled with a hybrid solar energy system comprising photovoltaic panels, lithium-ion battery storage, flat-plate solar-thermal collectors and a hot-water storage tank. Three representative brine feeds are analysed at a saltwork site in Trapani (Italy): reverse-osmosis brine, nanofiltration retentate and saltwork bittern, each targeting 50 t/y of Mg(OH)2 production. A deterministic Python model computes 8760 h energy balances, system dispatch, discounted cash flows and operational CO2 emissions. A multi-objective genetic optimisation algorithm explores the trade-offs between net present value, electrical and thermal coverage, and capital expenditure. Results show that all scenarios are economically viable at baseline market conditions (net present value of 224–277 k€, internal rate of return of 11–11.5 %, payback of about 8 years), with nanofiltration retentate achieving the best economic performance. Bittern attains comparable renewable shares (electrical coverage of 54 %, thermal coverage of 74 %) at the lowest capital expenditure (514 k€). Sensitivity analysis identifies the electricity export tariff as the primary economic driver, while battery capital cost governs storage sizing, with an economic break-even threshold around 150 €/kWh. Avoided CO2 emissions range from 37.8 t/y for bittern to 85.4 t/y for reverse-osmosis brine, with the thermal contribution dominating in heat-intensive scenarios. The proposed framework provides a systematic tool for the co-design of solar-powered circular brine-valorisation systems, with the specific quantitative results reflecting the solar resource and regulatory context of the Trapani case study considered here.

Guarino, S., Catrini, P., Battaglia, G., Scelfo, G., Micale, G.M., Fratini, L. (2026). Multi-objective optimisation of renewable energy integration in circular brine valorisation/treatment: The case of the CARMEn chain. ENERGY CONVERSION AND MANAGEMENT, 369 [10.1016/j.enconman.2026.122054].

Multi-objective optimisation of renewable energy integration in circular brine valorisation/treatment: The case of the CARMEn chain

Guarino, Stefania
;
Catrini, Pietro;Battaglia, Giuseppe;Scelfo, Giuseppe;Micale, Giorgio Maria;Fratini, Livan
2026-12-01

Abstract

Circular brine-valorisation chains offer a promising route to address water scarcity and critical raw-material recovery, but their large electrical and thermal energy demands can offset environmental benefits if powered by fossil sources. This work develops a fully integrated, hourly resolved simulation and multi-objective optimisation framework for the CARMEn treatment chain − combining nanofiltration, Mg(OH)2 precipitation, softening, electrodialysis with bipolar membranes, membrane distillation and reverse electrodialysis – coupled with a hybrid solar energy system comprising photovoltaic panels, lithium-ion battery storage, flat-plate solar-thermal collectors and a hot-water storage tank. Three representative brine feeds are analysed at a saltwork site in Trapani (Italy): reverse-osmosis brine, nanofiltration retentate and saltwork bittern, each targeting 50 t/y of Mg(OH)2 production. A deterministic Python model computes 8760 h energy balances, system dispatch, discounted cash flows and operational CO2 emissions. A multi-objective genetic optimisation algorithm explores the trade-offs between net present value, electrical and thermal coverage, and capital expenditure. Results show that all scenarios are economically viable at baseline market conditions (net present value of 224–277 k€, internal rate of return of 11–11.5 %, payback of about 8 years), with nanofiltration retentate achieving the best economic performance. Bittern attains comparable renewable shares (electrical coverage of 54 %, thermal coverage of 74 %) at the lowest capital expenditure (514 k€). Sensitivity analysis identifies the electricity export tariff as the primary economic driver, while battery capital cost governs storage sizing, with an economic break-even threshold around 150 €/kWh. Avoided CO2 emissions range from 37.8 t/y for bittern to 85.4 t/y for reverse-osmosis brine, with the thermal contribution dominating in heat-intensive scenarios. The proposed framework provides a systematic tool for the co-design of solar-powered circular brine-valorisation systems, with the specific quantitative results reflecting the solar resource and regulatory context of the Trapani case study considered here.
1-dic-2026
Guarino, S., Catrini, P., Battaglia, G., Scelfo, G., Micale, G.M., Fratini, L. (2026). Multi-objective optimisation of renewable energy integration in circular brine valorisation/treatment: The case of the CARMEn chain. ENERGY CONVERSION AND MANAGEMENT, 369 [10.1016/j.enconman.2026.122054].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/714189
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