Time Savings Research Articles

Additively Manufactured Continuous Processing Reactor System for Producing Liquid-Based Pharmaceutical Substances

In this study, an AM-based continuous processing reactor system was designed, manufactured, and assembled on a laboratory scale for the generation of pharmaceutical substances with an improved process control. The developed AM-based (additively manufactured) continuous pharmaceutical reactor system for the synthesis of metronidazole derivatives aimed to optimize both the physical and the chemical processes with time savings. Using AM, we were able to build reactor subcomponents with complex designs and precise dimensions, which facilitated the precise control of the reaction parameters and reduced the amount of chemicals required compared to macroscale reactors. The assembly of the whole reactor system consisted of main reactor bodies, mixers, valves, heat exchangers, electrical motors, and a microcontroller system. The assembled reactor system revealed a continuous flow of reagents and ensured uniform mixing and reaction conditions, thereby increasing the process efficiency and product quality. Five metronidazole derivatives were synthesized via two continuous processes, involving metronidazole reduction and its subsequent reactions with terephthalic aldehyde and anthracen-9(10H)-one to form Schiff bases. The optimal conditions were determined as follows: compound A (72% yield, 120 min, 55 °C), compounds B and C (63% and 68% yield, respectively, 8 h, 65 °C), and compounds D and E (74% and 85% yield, respectively, 8 h, 45 °C).

Self-Adaptable Software for Pre-Programmed Internet Tasks: Enhancing Reliability and Efficiency

In the current digital landscape, artificial intelligence-driven automation has revolutionized efficiency in various areas, enabling significant time and resource savings. However, the reliability and efficiency of software systems remain crucial challenges. To address this issue, a generation of self-adaptive software has emerged with the ability to rectify errors and autonomously optimize performance. This study focuses on the development of self-adaptive software designed for pre-programmed tasks on the Internet. The software stands out for its self-adaptation, automation, fault tolerance, efficiency, and robustness. Various technologies such as Python, MySQL, Firebase, and others were employed to enhance the adaptability of the software. The results demonstrate the effectiveness of the software, with a continuously growing self-adaptation rate and improvements in response times. Probability models were applied to analyze the software’s effectiveness in fault situations. The implementation of virtual cables and multiprocessing significantly improved performance, achieving higher execution speed and scalability. In summary, this study presents self-adaptive software that rectifies errors, optimizes performance, and maintains functionality in the presence of faults, contributing to efficiency in Internet task automation.

Treatment Reproducibility in Brain Stereotactic Radiotherapy Using a Shim Mask Versus a Standard Mask.

Introduction This study aimed to evaluate the setup accuracy of the new shim mask with mouth bite compared to the standard full brain mask in stereotactic radiosurgery (SRS) and radiotherapy (SRT) treatments for brain metastases or tumors. Method A combined retrospective and prospective design was employed, involving 40 patients treated at our center. Patients previously treated using standard head masks formed the retrospective cohort, while those treated with the Shim mask and mouth bite formed the prospective cohort. Daily cone-beam computed tomography (CBCT) scans were obtained before each treatment session to ensure patient setup accuracy. Key metrics included absolute shifts in translational and rotational directions, the number of repeat CBCTs, and the time interval between CBCTs. Results The Shim mask significantly reduced the mean setup errors in the lateral translation (p=0.022) from 0.17 cm (SD=0.10) to 0.10 cm (SD=0.10), and in X-axis rotation (p=0.030) from 0.79° (SD=0.43) to 0.47° (SD=0.47). By considering cutoff points of 1 mm in translational and 1° in rotational directions, the Shim mask was significantly more accurate in the lateral direction (p=0.004). Moreover, while 70% of patients in the standard group required repeat CBCT scans, none in the Shim group did, resulting in an average time saving of 10.4 minutes per patient. Conclusion The Shim mask with mouth bite offers enhanced immobilization accuracy in SRT/SRS treatments, leading to time and potential cost savings by reducing the need for repeat CBCT scans. This underscores the importance of adopting innovative immobilization techniques to optimize patient outcomes.

High-speed railway in developing countries: mind the gap -lessons from Morocco-

ABSTRACT Conducted prior to the launch of the High-Speed Railway (HSR) in Morocco, this study aims to be the first research to assess the HSR project through the estimation of the value of travel time savings. We focused on inter-urban routes to assess the HSR project impact. We conducted a Discrete Choice Experiment in the cities impacted (directly or indirectly) by the HSR project, which are Tangier, Kenitra, Rabat, Casablanca and Marrakesh. Our results show that at the sample average points of each mode of transport, the values of travel time savings are approximately 94MAD/h for car users, 27MAD/h for train users and 25MAD/h for bus users. We performed a simulation for the Tangier-Casablanca route and obtained satisfactory results (93MAD/h, 26MAD/h and 24MAD/h, for private car, train, and bus journeys respectively). Finally, our results show that the pricing strategies of the national railway operator (Office National des Chemins de Fer) present a potential risk of eviction, which could counterbalance the positive impact of the time savings.

Nursing Students’ Experience and Perception towards Online Education during Covid-19 Pandemic in Nepal

Background: The COVID-19 pandemic forced educational institutions worldwide to adapt swiftly. This study explorednursing students’ experiences and perceptions towards online education during the pandemic in Nepal.Method: Using a cross-sectional descriptive design, data were collected from 416 nursing students across the country usingnon probability convenient sampling technique via a google form questionnaire. Ethical approval was obtained from NHRCand for the data analysis, descriptive analysis was done by using appropriate statistical tools and SPSS version 20.Result: Key findings on online class experience, 93.5% participated in live online classes, 62.3% preferred a blend ofsubjective and objective evaluation methods and 58.9% favored pre- and post-classroom assignments. Similarly, regardingbenefits of online education 25.0% strongly agreed that technical skills (email, internet, apps) improved, 53.1% recognizedteachers’ facilitative role in student learning and 45.2% believed online classes reduced psychological stress. There werechallenges on theory classes and clinical practicum where 38.8% acknowledged skill gaps for effective online teaching and44.0% strongly agreed on curriculum redesign respectively.Conclusion: Online learning is crucial for a variety of reasons, including time savings and learning flexibility. Despite these,constrained technology infrastructures, connectivity issues and clinical practicum continued to be obstacles. Effective onlineeducation requires increased internet access, faculty and student digital training, and the support of regulatory authorities.

Barbed suture in neck dissection: a randomized clinical study on efficacy, safety and aesthetic outcome.

The resection of lymph nodes/neck dissection is a typical part of the surgical treatment of head and neck malignancies. The aim of this study was to compare subcutaneous closure using single knotted, braided suture (VicrylTM, standard arm) with continuous self-locking, monofilament barbed suture (V-LocTM, experimental arm). Neck Lock was a randomized clinical trial at a single tertiary referral center. It was conducted from 2016 till 2022 with a follow-up period of 3months. Assessment of safety and aesthetic outcome was double-blinded. 68 patients were randomized after application of exclusion criteria. Subcutaneous wound closure was performed in an intrapatient randomized fashion for suture technique. The primary endpoint was the duration of subcutaneous sutures. Wound healing and scar formation were recorded at multiple postoperative intervals as secondary endpoints. The median age was 61years, 89.7% were male. 92.6% suffered from a squamous cell carcinoma. There was a significant difference in median subcutaneous suture time (p = 0.024) between the experimental (6:11 ± 2:30min) and standard (7:01 ± 2.42min) arms. There was no significant difference in safety when assessing adverse events (AEs). At least one AE occurred in 14.7% vs. 5.9%, for barbed and smooth sutures respectively (p = 0.16). For neck dissection of head and neck malignancies, subcutaneous wound closure with self-locking sutures offers significant time savings over the single knot technique with similar safety and aesthetic results. The trial was registered with WHO acknowledged primary registry "German Clinical Trials Register" under the ID DRKS00025831 ( https://drks.de/search/de/trial/DRKS00025831 ).

Statistical considerations when estimating time-saving treatment effects in Alzheimer's disease clinical trials.

Estimating treatment effects as time savings in disease progression may be more easily interpretable than assessing the absolute difference or a percentage reduction. In this study, we investigate the statistical considerations of the existing method for estimating time savings and propose alternative complementary methods. We propose five alternative methods to estimate the time savings from different perspectives. These methods are applied to simulated clinical trial data that mimic or modify the Clinical Dementia Rating Sum of Boxes progression trajectories observed in the Clarity AD lecanemab trial. Our study demonstrates that the proposed methods can generate more precise estimates by considering two crucial factors: (1) the absolute difference between treatment arms, and (2) the observed progression rate in the treatment arm. Quantifying treatment effects as time savings in disease progression offers distinct advantages. To provide comprehensive estimations, it is important to use various methods. We explore the statistical considerations of the current method for estimating time savings. We proposed alternative methods that provide time savings estimations based on the observed absolute differences. By using various methods, a more comprehensive estimation of time savings can be achieved.

Critical Image Detection (CiD) and Single Image Detail Analysis (SiDA) – A practical approach to AI in NDT

Artificial Intelligence (AI) is gaining momentum in consumer and business applications and many approaches have changed the perspective on AI in Non-Destructive Testing (NDT). Most current discussions about AI in NDT revolve around automated defect detection / recognition (ADR), leaving the enormous potential of AI-based automation in other areas of the inspector's work process unexplored. It is in the nature of NDT that the human inspector's attention should be primarily focused on the parts that show indications or defects. These usually make up only a fraction of the components to be tested, as it is unknown which components actually show defects. This leads to a highly inefficient process that requires an evaluation of all components and thus ties up massive inspection capacities of human experts. The researchers of the German software company sentin have developed a system to process critical findings first and present those to the human inspector. NDT data such as images can be processed as batches leading to a (pre-) sorted dataset considering various indicators such as potential defects, duplicates, missing labels or references and many more. Such a resource-saving, high accuracy Critical Image Detection (CiD) system allows evaluators to find anomalies in complex and extensive datasets fast. After identification further automation can be achieved using a Single Image Detail Analysis system (SiDA), which is more resource intensive, but gives detailed information about the findings, potential defects and their location. The integration of these systems holds significant promises for the future application of AI in NDT. By streamlining the inspection process, they can generate substantial business value through time and cost savings.

BibPat: Quantum K-means Clustering with Incremental Enhancement

Background: One of the main areas of study within the broader paradigm of quantum machine learning is quantum clustering (QC). Considering the potential time and cost savings that solutions to realworld issues employing QC algorithms bring, in comparison to their classical methods, researchers have recently developed a keen interest in QC. With new algorithms and their applications being invented virtually every other day, this is still a highly young and fascinating area of research. Based on the background information provided, this work aims to analyze research and patent databases spanning twelve years (2010 to mid-2022) to identify and understand the publishing and patent trends in the field of QC. This study aims to study the topological analyses, important study areas, relationships, and collaboration patterns that distinguish traditional and developing research clusters. The graphical representation of the progress of publications and patents over time depends on such rigorous field mapping. This paper presents a comprehensive list of all the sources through the network, bibliometric and patentometric (BibPat) analysis, and future research scope in the QC. The top authors, universities, and research fields were listed after the primary and secondary keywords connected to the quantum K-means clustering algorithm in the analysis design. Reviewing the articles and then delving into the specifics of the patents will help us evaluate the total body of work on the quantum K-means clustering technique. Using the thorough BibPat tools and numerous research and patent databases like Scopus, IEEE, ACM, Google Scholar, Lens, Google Patents, and Espacenet, the analysis design displays the patents and journal papers that have been published. Additionally, it is crucial for later research because it aids in the identification of areas for current research interests and possible avenues for future study. QC offers various studies in disciplines from computer science to psychology. The Ministry of Education, China, produced most publications. Since 2014, the trend has been up, and experts continue studying the issue. The BibPat analysis shows that the Chinese National Natural Science Foundation has facilitated funding for cutting-edge research. In order to open the door for future research and investigation on the substantial amount of unstructured real-time data, the report concluded by proposing an incremental QC approach.

Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke

BackgroundA study was undertaken to assess the effectiveness of open-source large language models (LLMs) in extracting clinical data from unstructured mechanical thrombectomy reports in patients with ischemic stroke caused by...

Demographics, Utilization, Workflow, and Outcomes Based on Observational Data From the RSNA-ACR 3D Printing Registry

PurposeThe aim of this study was to report data from the first 3 years of operation of the RSNA-ACR 3D Printing Registry. MethodsData from June 2020 to June 2023 were extracted, including demographics, indications, workflow, and user assessments. Clinical indications were stratified by 12 organ systems. Imaging modalities, printing technologies, and numbers of parts per case were assessed. Effort data were analyzed, dividing staff members into provider and nonprovider categories. The opinions of clinical users were evaluated using a Likert scale questionnaire, and estimates of procedure time saved were collected. ResultsA total of 20 sites and 2,637 cases were included, consisting of 1,863 anatomic models and 774 anatomic guides. Mean patient ages for models and guides were 42.4 ± 24.5 years and 56.3 ± 18.5 years, respectively. Cardiac models were the most common type of model (27.2%), and neurologic guides were the most common type of guide (42.4%). Material jetting, vat photopolymerization, and material extrusion were the most common printing technologies used overall (85.6% of all cases). On average, providers spent 92.4 min and nonproviders spent 335.0 min per case. Providers spent most time on consultation (33.6 min), while nonproviders focused most on segmentation (148.0 min). Confidence in treatment plans increased after using 3-D printing (P < .001). Estimated procedure time savings for 155 cases was 40.5 ± 26.1 min. ConclusionsThree-dimensional printing is performed at health care facilities for many clinical indications. The registry provides insight into the technologies and workflows used to create anatomic models and guides, and the data show clinical benefits from 3-D printing.

Firearm shootings and the police response: examining the impact of gunshot detection technology

ABSTRACT This study explores the impact of gunshot detection technology (GDT) in Denver, CO, Milwaukee, WI, and Richmond, CA on officer workload and response times to firearm shooting notifications. All three departments experienced a twofold increase of being alerted to shooting incidents following GDT implementation, leading to a two- to threefold increase in staff time allocated to responding to these incidents. Response times to specific events were generally quicker for GDT alerts compared to traditional 911 calls for service regarding shots heard events. However, the time savings are primarily from the duration between notification and assignment of an officer, rather than the actual time taken by officers to arrive at the scene after being assigned. Insights from 46 stakeholder interviews offer optimal approaches for investigating shooting notifications and GDT program management. While GDT programs effectively reduce response times, agencies must anticipate increased workloads and implement specific program characteristics for optimal effectiveness.

Simplifying vasectomy reversal without compromising outcomes: a single-surgeon series.

In vasovasostomy (VV) surgery, the micro-surgical technique has consistently been shown to provide superior outcomes to both macroscopic and loupe-assisted techniques, with large studies showing overall patency rates of ~86% and pregnancy rates of ~52%. However, the question of whether a single- or double-layer anastomosis offers the best outcomes remains contentious, and despite the popularity of the two-layer technique, a meta-analysis suggests little difference in outcomes. This study records the outcomes of a single-surgeon series of a simplified single-layer technique, along with the comparative outcomes and predictive factors. A retrospective analysis of 237 consecutive patients undergoing microsurgical vasectomy reversal between 2010 and 2022 in a single institution was performed. A microsurgical, single-layer, six-point, 8-0 nylon anastomosis was performed with macroscopic intra-operative assessment of vasal fluid. An ipsilateral vasoepididymostomy (VE) was only performed in cases of complete absence of vasal fluid or the presence of toothpaste-like discharge (bilateral VE were excluded from this series). Semen analysis was performed 3 months postoperatively to assess for the presence of motile sperm. A total of 237 men underwent microsurgical vasectomy reversal over a 12-year period. The median age of men at vasectomy was 34 years. The median age at vasectomy reversal was 42 years. The median obstructive interval was 7.3 years. An overall patency rate of 85.8% was achieved (motile sperm present), with 53.8% having a sperm count greater than 15 million/mL on initial 3-month assessment. For obstructive intervals of <3, 3-8, 9-14, and ≥15 years, there were declining patency rates of 96.3%, 90.5%, 80.0%, and 74.1%, respectively (P=0.04). These are the equivalent outcomes to published high-volume two-layer studies. We found no difference between patency rates of VV performed on the straight vas vs. the convoluted vas, and no difference when only one side could be re-anastomosed (20 patients). Using a micro-surgical technique in high volume, similar outcomes can be achieved from a simplified single-layer VV technique with fewer sutures, as compared to the more complex two-layer techniques described. We postulate that this may be due to reduced ischaemia relating to fewer sutures and less tissue-handling. Given the associated time and cost savings, as well as the easier learning curve involved, we would advocate the use of this technique in routine VV practise.

The Future of Microreactors: Technological Advantages, Economic Challenges, and Innovative Licensing Solutions with Blockchain

This study details the unique advantages and challenges associated with microreactors. Microreactors offer rapid installation and flexible application capabilities, meeting energy needs in remote and inaccessible areas. Unlike large nuclear power plants, they can be set up and start generating energy within a few days, resulting in significant time and cost savings. Their small size and modular design reduce capital and operational costs while enhancing economic competitiveness. However, some technical and regulatory challenges persist for the widespread adoption of microreactors. Licensing processes designed for large nuclear power plants may delay the widespread adoption of microreactors. Blockchain technology can play a crucial role in overcoming these challenges by providing transparency and reliability in the licensing processes. The operational settings of microreactors should be carefully considered, and regulatory authorities must be effectively designated. Collaboration and coordination are vital in this process. Consequently, the flexibility and innovative solutions offered by microreactors highlight the importance of future research to examine the optimal conditions for their use.

A stain with all the fixing’s – Enhancement of fingermarks in blood using a combined fixative and aqueous protein stain

The use of protein stains to enhance fingermark ridge detail in blood is a common technique used by forensic practitioners around the world. Amido Black is one of the most favoured protein stains due to its strong staining ability. The most common formulation of Amido Black is methanol based, with an ability to simultaneously fix and stain the blood impression, however methanol is toxic and can disrupt some surfaces, potentially compromising fingermark detail. If the surface is suspected of being a material that is impacted by methanol, there is an alternative aqueous formulation, which requires a fixative step to set the blood prior to staining so as not to wash away potential ridge detail. The multi-step process of aqueous protein stains is tedious and numerous studies have been conducted to improve the formula to achieve a combined fixing/staining solution that performs like the methanolic reagent. A combined fixative and stain formulation of aqueous based Amido Black was compared to a multi-step formulation with a separate sulfosalicylic acid fixative. Of the 243 split fingermark impressions analysed the majority (63.5 %) showed no preference to either treatment, with a marginally greater proportion of the remaining marks slightly favouring the combined fixative and stain formulation. Given that the new combined formulation performed broadly similarly to the existing multi step formulation, the potential time savings of this simpler approach may be beneficial to implement into operational use.

Design, calibration and performance evaluation of a small-scale 3D printer for accelerating research in additive manufacturing in construction

3D printing in construction presents numerous advantages, such as geometric flexibility, potential cost and time savings, the incorporation of recycled and sustainable materials, and reduced waste, thereby reducing the construction sector's environmental impact. Despite these advantages, the widespread adoption of AM in construction faces hurdles, primarily due to the prohibitive costs of large-scale concrete printers — typically ranging from $180,000 to over $1 million — and technological constraints that impede research and development efforts within the construction sector. To address these challenges, our study focuses on designing, developing, calibrating and evaluating an affordable lab-scale 3D printer specifically tailored for cement-based materials, aiming to lower the entry barrier for AM research in construction. This paper presents a proof-of-concept for a simple, yet functional printing technology that meet the requirements for research studies. The study details the development process, from the conceptual design to the calibration of printing parameters. The development process included the assessment of preliminary extrusion system designs integrated with the motion systems of a fused deposition modeling 3D printer. Subsequently, material studies were carried out to determine optimal material mix compositions and ratios. A comprehensive calibration of printing parameters using statistical analysis was proposed to ensure consistent and quality printing. The printability and applicability of the proposed small-scale 3D printer were assessed by printing samples and testing their thermal properties. Cost analysis showed that the proposed 3D printer, costing $273, offers benefits compared to existing market alternatives. The study illustrates the potential of small-scale 3D printers to facilitate construction research and practices, thereby promoting the development of sustainable construction methods.

Tool change reduction for multicolor fused filament fabrication through interlayer tool clustering implemented in PrusaSlicer

PurposePresently in multicolor fused filament-based three-dimensional (3-D) printing, significant amounts of waste material are produced through nozzle priming and purging each time a change from one color to another occurs. G-code generating slicing software typically changes the material on each layer resulting in wipe towers with greater mass than the target object. The purpose of this study is to provide an alternative fabrication approach based on interlayer tool clustering (ITC) for the first time, which reduces the number of tool changes and is compatible with any commercial 3-D printer without the need for hardware modifications.Design/methodology/approachThe authors have developed an open-source PrusaSlicer upgrade, compatible with Slic3r-based software, which uses the described algorithm to generate g-code toolpath and print experimental objects. The theoretical time, material and energy savings are calculated and validated to evaluate the proposed fabrication method qualitatively and quantitatively.FindingsThe experimental results show the novel ITC method can significantly increase the efficiency of multimaterial printing, with an average 1.7-fold reduction in material use, and an average 1.4-fold reduction in both time and 3-D printing energy use. In addition, this approach reduces the likelihood of technical failures in the manufacturing of the entire part by reducing the number of tool changes, or material transitions, on average by 2.4 times.Originality/valueThe obtained results support distributed recycling and additive manufacturing, which has both environmental and economic benefits and increasing the number of colors in a 3-D print increases manufacturing savings.

A fast and high-fidelity multi-parameter thermal-field prediction system based on CFD and POD coupling: Application to the RPV insulation structure

The thermal performance of the reactor pressure vessel (RPV) insulation structure plays a crucial role in ensuring the operational safety of the reactor. In this study, a fast and high-fidelity prediction system is proposed, which is based on the snapshot ensemble generated by the computational fluid dynamics (CFD) method and incorporates proper orthogonal decomposition (POD) as its core component to predict the heat transfer performance of the RPV insulation structure. The proposed thermal-field prediction system is employed to examine the impacts of air inlet temperature, mass flow rate, and RPV outer wall temperature on the thermal performance parameters: average heat flux qout and temperature Tout of the RPV insulation outer wall, as well as the maximum local temperature Tmax of the concrete pit inner wall. The POD predictive results showcase that the maximum relative deviations of qout, Tout and Tmax for eight sets of off-design cases are 2.25 %, 3.04 %, and 2.37 %, respectively. Meanwhile, the maximum values of qout, Tout and Tmax are 90.13 W·m−2, 44.69 ℃, and 87.51 ℃, respectively. They are all less than their prescribed limits. The field distributions of heat flux and temperature in off-design cases exhibit consistency between the CFD and POD methods. Notably, in comparison to the CFD simulation method, the POD method capturing more than 99.9 % energy demonstrates significant computational time savings for 99.87 %. Moreover, a multivariate linear regression (MLR) model for thermal performance parameters is established based on the POD prediction datasets. The results indicate that the maximum relative deviations between the POD and MLR methods in predicting qout, Tout and Tmax for the 72 sets of test cases are 5.1 %, 7.9 % and 7.1 %, respectively. Meanwhile, 99.99 % CPU time is reduced for MLR model compared with CFD method. Obviously, the predictive system showcases excellent accuracy and efficiency in forecasting.

Who controls the remote? Examining the motivations of Widening Participation practitioners towards online provision using Expectancy-Value Theory

Many widening participation (WP) organisations moved their operations online during the COVID-19 pandemic, and since then anecdotal evidence has suggested that most are retaining an online element to their provision. This study seeks to discover to what extent this is the case, and what providers expect to be the impacts of this shift. By surveying and interviewing sector staff we find that most organisations delivering WP activities to young people plan to continue with some remote delivery. However, our respondents also felt that such sessions were less effective across several measures. We use the framework of Expectancy-Value Theory (EVT) to examine this apparent disjunct. Our research finds that while most practitioners do not expect online delivery to be as effective due to issues such as lack of engagement and personal contact, this deficit is balanced by value benefits to themselves and their employers, such as cost and time savings, and increased geographical reach. The study demonstrates the utility of EVT in analysing the decision-making processes of WP staff specifically, and more generally for educators other than classroom teachers.

Enhancing Air Conditioning System Performance via Dual Phase Change Materials Integration: Seasonal Efficiency and Capsulation Structure Impact

Enhancement of the cooling and heating capabilities of an air conditioning unit (ACU) coupled with a thermal energy storage system of dual phase change materials (PCM) is investigated. The dual PCM, namely SP24E and SP11_gel, are coupled with the ACU outdoor device (condenser/evaporator) during the summer/winter seasons, respectively. Moreover, ACU performance assisted with dual-PCM heat exchanger is compared with a single heat exchanger of SP24E in summer and single heat exchanger of SP11_gel in winter at different PCM capsulation structures (aligned and staggered cylinders). The system dynamic mathematical model is computationally solved using ANSYS software and experimentally validated. Results affirm that charging/discharging periods are minimal for the dual-PCM system and slower for PCM inline cylinder layouts than staggered ones. Inline design yields greater ACU average power savings. In summer, higher inlet air temperature to the PCM system reduces PCM discharging time and ACU power savings, with the opposite effect during winter. ACU COP with PCMs is improved by around 80 % in summer and 40 % in winter, respectively, compared to ACU without PCMs. The maximum average power saving over 4 h of ACU working in summer by single and dual-PCM systems is 21.4 % and 11.8 %, respectively, whereas the results in winter are 18.5 % and 12.8 %, respectively.