High-temperature heat pumps (HTHPs) are a promising solution for reducing carbon emissions in industrial heating by upgrading low-grade waste heat to temperatures above 100 °C. A key challenge in designing efficient and practical HTHP systems is choosing the right refrigerant. This study presents a comprehensive thermodynamic analysis of seven low-global-warming-potential (GWP) refrigerants R718 (water), R600, R123, R1234ze(Z), R1233zd(E), R1224yd(Z), and R245fa for high-temperature heat pump (HTHP) applications. The refrigerants were evaluated under temperature lifts of 40 °C and 80 °C and condenser temperatures between 100 °C and 150 °C. Key performance metrics including coefficient of performance (COP), volumetric heating capacity (VHC), compressor pressure ratio (PR), discharge temperature, volumetric flow rate, power consumption, and second-law efficiency were analyzed to identify optimal working fluids. Results show that R718 achieved the highest COP, up to 6.9 at 40 °C lift and 3.0 at 80 °C lift, along with the highest second-law efficiency, reaching 55% at 80 °C lift, due to its superior thermodynamic properties. However, R718 also exhibited the lowest VHC (1900  kJ/m³ at 40 °C lift) and the highest discharge temperatures (>520 °C at 80 °C lift), requiring larger compressors and advanced materials. Conversely, R1234ze(Z) and R600 demonstrated higher VHC (>7000  kJ/m³ at 40 °C lift) and moderate discharge temperatures (<180 °C), enabling more compact and cost-effective designs but at a reduced COP (5.5 at 40 °C lift). This study highlights that R718 has clear advantages in HTHP applications. In industrial heat recovery, an R718-based HTHP can provide the required high output temperatures while achieving better overall performance. These findings provide practical guidance for engineers and designers working on next-generation heat pumps for industrial heating applications.

High-temperature heat pumps (HTHPs) are emerging as a cornerstone technology for industrial decarbonization, enabling efficient recovery and upgrading of low-grade waste heat to supply process heat and steam above 100 °C. Operating at temperatures between 120 °C and 200 °C, HTHPs address the heating demands of energy-intensive sectors such as chemicals, food processing, and metals. This review consolidates recent advancements in HTHP design, refrigerant selection, and integration strategies. Current systems achieve coefficients of performance (COP) of 2.5–4.0 for 100–150 °C outputs, while advanced configurations using low-GWP refrigerants report COPs up to 6.10. Environmental benefits are significant: HTHPs can reduce CO₂ emissions by 60–98% compared to gas boilers, with case studies demonstrating annual savings exceeding 30,000 tCO₂. Economic analyses indicate payback periods as short as 1.9–3 years for optimized designs. Key challenges include the development of low-GWP refrigerants, high initial investment costs, and maintaining efficiency under large temperature lifts. Future research should focus on advanced cycle configurations, integration with thermal storage and renewables, and innovative compressor technologies to accelerate adoption. Overall, HTHPs represent a critical pathway for low-carbon industrial heating, offering substantial energy recovery and a proven potential to reduce the carbon footprint of high-temperature processes.

Solar energy is a clean, abundant, and sustainable power source that forms the foundation of energy sustainability. Researchers have focused on examining various factors affecting solar energy generation and storage to improve the efficiency of solar collectors. They have evaluated different design criteria, considering environmental elements such as wind speed, solar radiation, and ambient temperature. Both experimental methods and numerical simulations, including Computational Fluid Dynamics (CFD), have been used. ANSYS-Fluent CFD modeling, in particular, provides a cost-effective alternative to experiments by simulating fluid flow and heat transfer within solar collectors. This article reviews recent advances in numerical modeling of concentrating solar systems, using ANSYS-Fluent, detailing the models and methods employed while discussing current challenges. It covers various solar concentrators, including evacuated tube collectors (ETC), Linear Fresnel reflectors (LFR), Compound Parabolic Collectors (CPC), and Solar Towers (ST). Summaries of previous studies are tabulated, highlighting different CFD models, techniques, and assumptions. The main goals and results of these studies are outlined. The article also discusses validation techniques and compares experimental data with simulation outcomes, assessing the employed numerical models and methods. It emphasizes common physical models, solution strategies, and assumptions used in analyzing different solar concentrating systems. Additionally, it identifies current challenges, suggests future research directions, and offers perspectives to help advance understanding. This work aims to support researchers in understanding current trends in the numerical simulation of high-concentration solar collectors. Scholars can use this resource to select appropriate models and methods, leveraging their strengths and avoiding common pitfalls in CFD analysis of solar collectors with ANSYS-Fluent.

Crude oil distillation is one of the most energy-intensive processes in petroleum refining, consuming up to 20% of total refinery energy. Improving the energy efficiency of crude distillation units (CDUs) is essential for reducing costs, lowering emissions, and achieving sustainable refining. Current studies often examine energy savings, operational flexibility, or renewable energy integration separately. This review brings these aspects together, focusing on heat integration, advanced control systems, and renewable energy options such as solar-assisted preheating and green hydrogen. Advanced column designs, including dividing-wall and hybrid systems, can cut energy use by 15–30%, while AI-based optimization improves process stability and flexibility. Solar-assisted preheating can reduce fossil fuel demand by up to 20%, and green hydrogen offers strong potential for decarbonization. Our findings highlight that integrated strategies, including advanced simulation tools and machine learning, significantly improve CDU performance. We recommend exploring hybrid algorithms, renewable energy integration, and sustainable technologies to address these challenges and achieve long-term environmental and economic benefits.

Distillation is a critical separation process widely used in various industries, especially in petroleum refining, where efficient separation significantly influences product quality and energy consumption. This study evaluates the performance of a crude distillation unit located in Upper Egypt, with the aim of enhancing its energy and exergy efficiencies by addressing region-specific operational challenges and inefficiencies. A comprehensive thermodynamic and exergy analysis was conducted using Aspen HYSYS, based on the first and second laws of thermodynamics. The simulation model was validated against actual plant data, demonstrating strong agreement and confirming its reliability. The analysis focused on key process units, including the preflash unit, fired heater, heat exchanger network (HEN), pumps, coolers, and particularly the distillation tower, which showed the highest exergy destruction. The distillation tower alone accounted for 41.8% of total exergy destruction (44.5 GJ h⁻¹), primarily due to irreversibilities associated with phase separation. In contrast, the preflash unit exhibited high performance, with an exergy efficiency of 97.1% and minimal destruction (459 MJ h⁻¹). The fired heater and HEN also demonstrated strong efficiencies 92.7% and 91.6%, respectively, though both contributed to non-negligible thermal losses. Coolers, however, had the lowest exergy efficiency (55.2%), responsible for 33% of total exergy destruction. Parametric studies revealed that increasing overhead pressure improved overall exergy efficiency by 4.3%, while excessive pump-around flow rates led to higher irreversibilities and reduced efficiency. These findings offer valuable, localized insights for improving energy recovery and operational performance in refining processes, particularly in developing regions with limited operational data. The study supports efforts to enhance sustainability and implement energy-efficient control strategies in crude oil refining.

Crude oil distillation is a crucial separation process in the petroleum refining industry, where crude oil is fractionated into various components based on their boiling points. This energy-intensive industrial process significantly contributes to global energy consumption and greenhouse gas emissions. Given the magnitude and environmental implications of crude distillation operations, there is an urgent need to analyze energy usage patterns rigorously and identify opportunities for enhancing efficiency. This review explores the extensive efforts made by researchers to develop advanced models and techniques for the techno-economic evaluation of crude distillation systems. It begins by highlighting the considerable energy demands and emissions associated with conventional crude distillation units (CDUs). Emphasizing the necessity of comprehensive energy analysis, the paper discusses how optimization strategies can improve CDU operations and enable retrofits aimed at reducing both energy consumption and environmental impacts. Various modeling approaches are examined, including rigorous process simulations using tools like Aspen HYSYS and innovative exergy-based analyses, which provide deeper insights into the thermodynamic principles and operational factors influencing CDU performance. The review focuses on key areas such as distillation tower configurations, operating conditions, and heat exchanger network designs, all aimed at identifying energy-efficient modifications. Additionally, the paper discusses advancements in process intensification techniques, including Dividing Wall Columns, Hybrid Distillation, and reactive distillation. These methods not only enhance separation efficiency but also contribute to significant reductions in energy usage. The findings from numerous case studies are synthesized, demonstrating their effectiveness in improving overall efficiency.

Steam boilers are widely used in power generation and industrial processes. Improving their efficiency is crucial for enhancing sustainability and reducing operating costs. This study conducts a comprehensive bibliometric analysis to map the evolving research landscape on steam boiler efficiency improvement from 2014 to 2023. A literature search in the Scopus database retrieved 3574 publications. This study employs bibliometric analysis using Bibliometrix R packages and VOSViewer software to examine research trends, focusing on publication growth, key journals, influential authors, and emerging themes in steam boiler efficiency improvement. The results indicate a significant increase in annual research output, reflecting sustained global efforts in the field. China leads in both the volume and impact of contributions. Key research themes include materials development, innovative designs, heat recovery, and sustainable solutions. Notable publications emphasize eco-friendly approaches such as solar and organic thermoelectrics. Prolific authors from China, the United States, and Europe have shaped the discourse through influential collaborations. Emerging trends highlight a growing focus on renewable energy integration, advanced thermal management, and computational methodologies. This study consolidates knowledge on enhancing steam boiler efficiency through both quantitative and qualitative analyses, showcasing remarkable progress driven by dedicated international efforts. These insights can inform future strategies and inspire innovation in optimizing this critical energy conversion process.

In highly populated cities, the close spacing of buildings often results in interaction effects, including structure–soil–structure interaction (SSSI) and seismic pounding (SP), which occur because of the limited gaps left between adjacent structures. In most seismic design and structural analyses, the soil–structure interaction effects are frequently ignored, even though the foundation–soil system can significantly alter the structural behaviour and response demands. Moreover, the vibration characteristics and seismic performance of a building cannot be considered independent from those of neighbouring structures. This study aims to examine SSI, SP and their combined effects (SSSI) on the performance of adjacent buildings. Three-dimensional finite element models were developed using ETABS program of single and three adjacent multi-story buildings with identical floor levels, supported on shallow raft foundations over soft soil. These models were analyzed and compared with fixed-base models to evaluate the influence of SSI. Furthermore, the seismic responses of the adjacent buildings under both fixed-base and soft soil conditions were compared with those of single-building models to assess the effect of SP. The combined influence of SSI and pounding (SSSI) was investigated by comparing the adjacent building model with SSI to the corresponding single-building fixed-base model. Seismic demands are evaluated using nonlinear time history (TH) analyses with nine earthquake records. Variations in period of vibration, story lateral displacement, story drift ratio, story shear force, story moment, story acceleration and pounding force are 

Seismic pounding between adjacent buildings has been frequently observed during past earthquakes. This phenomenon can significantly increase seismic demands, often leading to severe global or local damage and even partial or total collapse. This study investigates the seismic response and both inter-story and story-story pounding behavior of adjacent RC buildings with different dynamic characteristics by ETABS software using nonlinear time-history analyses. Eleven recorded earthquake ground motions are employed to capture comprehensive excitation characteristics. The numerical model includes nonlinear flexural and shear plastic hinges and contact elements to simulate impact interaction between the structures. Global response parameters including inter-story drift ratios, displacement demands, and acceleration demands, and local response parameters including impact force, column shear force demands and plastic hinges behavior are obtained and analyzed to identify the critical stories and gap separation levels associated with pounding occurrence. The results indicate that increasing the gap distance does not necessarily guarantee a reduction in localized damage resulting from story-column pounding. This is due to non-monotonic relationship between separation gaps and impact velocity while intermediate gaps producing high relative velocities at impact which induced and may lead to greater contact forces and a more rapid degradation in stiffness.