Chouaib Benqlilou
Chouaib Benqlilou has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Abir Dahani
Sustainability, Artificial Intelligence and Mathematical Modeling, National School of Mines in Rabat, Rabat, Morocco
2 shared publications - Cornelia Scott
Department of Economics, Anhalt University of Applied Sciences, 06406 Bernburg (Saale), Germany
2 shared publications - Markus Holz
Department of Economics, Anhalt University of Applied Sciences, 06406 Bernburg (Saale), Germany
2 shared publications Abdesadeq Elbayad
Ecole Nationale Supérieure des Mines de Rabat
1 shared publicationNabila Zrira
Ecole Nationale Supérieure des Mines de Rabat
1 shared publicationSarah Kahlaoui
Ecole Nationale Supérieure des Mines de Rabat
1 shared publication
Latest Publications
- Open Access
Advanced Thermal Integration of Haber–Bosch Waste Heat for Competitive Hydrogen Production Using SOE and Hybrid AWE–SOE Systems
This study investigates the integration of Haber–Bosch waste-heat recovery with solid oxide electrolysis (SOE) and evaluates its techno-economic implications through the comparison of stand-alone SOE, hybrid SOE–AWE, and stand-alone AWE hydrogen production configurations. The HB synthesis loop was first simulated and analyzed to quantify the residual heat available after internal heat recovery and assess its thermal suitability for SOE steam generation. The recoverable HB heat initially covers 55% of the SOE evaporator duty. Further optimization of the SOE-side heat-exchanger network using Aspen Energy Analyzer V14 increases this coverage to 63%, enabling SOE to thermally support up to 63% of the hydrogen demand. Additional heat integration opportunities identified using Aspen Energy Analyzer (AEA) increase this coverage to 63%, enabling the SOE system to supply up to 63% of the hydrogen demand. The remaining hydrogen production requirement is investigated under two distinct configurations: (i) a stand-alone SOE system with an internal steam generation unit and (ii) a hybrid configuration consisting of 63% SOE and 37% AWE. These SOE-based configurations are evaluated and compared with a conventional alkaline water electrolysis (AWE) system. The energy analysis demonstrates that SOE-based systems significantly reduce overall energy consumption due to their higher electrochemical efficiency and effective utilization of industrial waste heat. The economic assessment yields LCOH values of 3.90, 3.44, and 2.79 $/kg H2 for the stand-alone SOE, hybrid SOE–AWE, and stand-alone AWE configurations, respectively. Sensitivity analysis indicates that reductions in SOE stack cost combined with improvements in stack lifetime can enable the hybrid configuration to achieve an LCOH of 2.79 $/kg H2, reaching cost parity with the baseline AWE configuration and demonstrating its potential as an energy-efficient and economically competitive pathway for green ammonia production.
Open AccessAdvanced Thermal Integration of Haber–Bosch Waste Heat for Competitive Hydrogen Production Using SOE and Hybrid AWE–SOE Systems
This study investigates the integration of Haber–Bosch waste-heat recovery with solid oxide electrolysis (SOE) and evaluates its techno-economic implications through the comparison of stand-alone SOE, hybrid SOE–AWE, and stand-alone AWE hydrogen production configurations. The HB synthesis loop was first simulated and analyzed to quantify the residual heat available after internal heat recovery and assess its thermal suitability for SOE steam generation. The recoverable HB heat initially covers 55% of the SOE evaporator duty. Further optimization of the SOE-side heat-exchanger network using Aspen Energy Analyzer V14 increases this coverage to 63%, enabling SOE to thermally support up to 63% of the hydrogen demand. Additional heat integration opportunities identified using Aspen Energy Analyzer (AEA) increase this coverage to 63%, enabling the SOE system to supply up to 63% of the hydrogen demand. The remaining hydrogen production requirement is investigated under two distinct configurations: (i) a stand-alone SOE system with an internal steam generation unit and (ii) a hybrid configuration consisting of 63% SOE and 37% AWE. These SOE-based configurations are evaluated and compared with a conventional alkaline water electrolysis (AWE) system. The energy analysis demonstrates that SOE-based systems significantly reduce overall energy consumption due to their higher electrochemical efficiency and effective utilization of industrial waste heat. The economic assessment yields LCOH values of 3.90, 3.44, and 2.79 $/kg H2 for the stand-alone SOE, hybrid SOE–AWE, and stand-alone AWE configurations, respectively. Sensitivity analysis indicates that reductions in SOE stack cost combined with improvements in stack lifetime can enable the hybrid configuration to achieve an LCOH of 2.79 $/kg H2, reaching cost parity with the baseline AWE configuration and demonstrating its potential as an energy-efficient and economically competitive pathway for green ammonia production.
- 2 October 2025
- Published by Springer Nature
- p. 111-130
Deep Learning Method for Evaluating Morocco’s Urban Photovoltaic Potential
- 2 October 2025
- Published by Springer Nature
- p. 111-130
Deep Learning Method for Evaluating Morocco’s Urban Photovoltaic Potential
- Open Access
Land Suitability Analysis for Green Ammonia Unit Implementation in Morocco Using the Geographical Information System–Analytic Hierarchy Process Approach
Morocco contains one of the greatest phosphate deposits and is the second-largest international phosphate fertilizer producer. However, it heavily relies on imported grey ammonia. To reduce this dependency, a paradigm shift is required toward local green ammonia production to strengthen the fertilizer industry. The purpose of the study is to identify the most promising locations in Morocco for hosting a green ammonia unit through a land suitability analysis. This was carried out using multi-criteria decision-making (MCDM) and geographical information systems (GIS). Eight relevant criteria were considered, based on carefully studying the relevant literature and consultation with renewable energy experts and professionals. The land suitability analysis revealed high suitability locations and five sites were selected from the regions of Dakhla, Laayoune, Boujdour, and Tarfaya. These locations were introduced to Hybrid Optimization of Multiple Electric Renewables (HOMER) software 3.16.2 for simulation. The simulation findings showed that the levelized cost of hydrogen (LCOH) ranges from 1.67 USD/kg to 1.82 USD/kg, with the lowest LCOH at Dakhla. The corresponding levelized cost of ammonia (LCOA) ranges from 646 USD/t to 687 USD/t. Dakhla was identified as the location with the lowest LCOA, accounting for 646 USD/t. The outcomes showed a similar trend compared to other studies (Saudi Arabia, Jordan, Iran). Considering improvements in the electrolyzer’s efficiency and cost, a technical and financial sensitivity analysis was conducted, identifying highly promising LCOA in Morocco, reaching 548 USD/t.
Open AccessLand Suitability Analysis for Green Ammonia Unit Implementation in Morocco Using the Geographical Information System–Analytic Hierarchy Process Approach
Morocco contains one of the greatest phosphate deposits and is the second-largest international phosphate fertilizer producer. However, it heavily relies on imported grey ammonia. To reduce this dependency, a paradigm shift is required toward local green ammonia production to strengthen the fertilizer industry. The purpose of the study is to identify the most promising locations in Morocco for hosting a green ammonia unit through a land suitability analysis. This was carried out using multi-criteria decision-making (MCDM) and geographical information systems (GIS). Eight relevant criteria were considered, based on carefully studying the relevant literature and consultation with renewable energy experts and professionals. The land suitability analysis revealed high suitability locations and five sites were selected from the regions of Dakhla, Laayoune, Boujdour, and Tarfaya. These locations were introduced to Hybrid Optimization of Multiple Electric Renewables (HOMER) software 3.16.2 for simulation. The simulation findings showed that the levelized cost of hydrogen (LCOH) ranges from 1.67 USD/kg to 1.82 USD/kg, with the lowest LCOH at Dakhla. The corresponding levelized cost of ammonia (LCOA) ranges from 646 USD/t to 687 USD/t. Dakhla was identified as the location with the lowest LCOA, accounting for 646 USD/t. The outcomes showed a similar trend compared to other studies (Saudi Arabia, Jordan, Iran). Considering improvements in the electrolyzer’s efficiency and cost, a technical and financial sensitivity analysis was conducted, identifying highly promising LCOA in Morocco, reaching 548 USD/t.