Design Of Integrated System Research Articles

Design of sustainable integrated energy systems for green ports – selection and sizing

Abstract Design of sustainable and integrated energy systems for marine port is a complex problem, involving multiple conflicting objectives like energy efficiency and minimum losses, cost-effectiveness, and avoiding excessive cycling and degradation. This paper addresses the sizing of integrated and sustainable port energy systems with renewable energy sources and energy storage systems based on two different methods. Both developed methods start by selecting design sets representing the gradual expansion of renewable sources and storage to the maximum size, limited by various constraints. Each design variant is evaluated based on the energy demands of the port, historical prices, and site energy production capacity. The first method, developed by ITK Engineering GmbH, uses a conventional deterministic forecasting approach with detailed annual data. The latter, developed by NTNU, employs several 24-hour data sets to capture annual energy dynamics. Key performance indicators for both methods are defined based on the total cost, with the benchmark cost obtained using the first (deterministic) method with 100% grid-supplied energy. Two virtual ports of different sizes (Port A and B) are established in two electric markets (1 and 2) for verification and benchmarking. The paper then discusses the influence of uncertainty in 24-hour data sets, used by the second (stochastic) method, for all cases.

Application of BIM and Virtual Reality of System Integration Design and Development in Medical Building Projects: A Case Study in China

Design outcomes in the Medical Building Projects (MBPs) must satisfy the demand of the medical staff and stakeholders. However, they often do not have the relevant engineering expertise, so the design team is prone to misunderstandings when communicating with them using traditional two-dimensional (2D) Computer-Aided Design (CAD) drawings. The medical staff may not readily visualize and understand the design and then provide feedback to the designer through professional medical requirements or advice, which results in the need to redesign and carry out additional work during the design phase, thus delaying the progress of the MBPs. To address these challenges, this study aims to develop an integrated system based on BIM, advanced rendering engines, and VR technology for use in non-immersive and immersive VR environments. Moreover, in this study, the integrated system was applied to the infection-building project of the People's Hospital of Qingbaijiang District, Chengdu City, and semi-structured interviews were distributed to 16 engineers, designers, contractors, and medical staff who had been involved in the whole project to validate the practicality and effectiveness of the integrated system. The results indicate that this system integration is an efficient visual communication and simulation tool in medical design. Key advantages include enhanced communication efficiency between the design team and medical stakeholders, improved visual interaction, and streamlined decision-making processes within a 3D VR/BIM environment. The successful implementation of this integrated system is expected to significantly aid design teams and stakeholders in effectively managing medical design tasks in future projects.

Design of Integrated System for the Comprehensive Utilization of Yellow River Sediment-Sealing Machine Structure and Control System Design

With the development of national industrialization, the control of yellow-river sediment needs to develop a complete automatic treatment system. In this paper, the structure and control system of the sealing machine in the integrated system design of the yellow river sediment comprehensive utilization are designed. Firstly, the overall design scheme of the sealing machine is determined, then, the structure and working principle of the sealing machine are introduced in detail. The design part of the actuator is defined. Secondly, finite element analysis is carried out for some of the stressed parts. The results show that the sealing machine system runs normally, the structure is not deformed and damaged, and it can work continuously for 12~16 hours, and the woven bag with sand can be successfully sealed. The sealing machine can not only save manpower and material resources, but also has the characteristics of simple operation and high efficiency. However, affected by the size of the equipment, it can only work in the factory or a large flat site.

Optimization of microgrid operations using renewable energy sources

Microgrids, comprising localized energy systems capable of operating independently or in conjunction with the main grid, are increasingly being recognized as vital components of modern energy infrastructure. The integration of renewable energy sources (RES) into microgrids offers significant potential for enhancing operational efficiency, sustainability, and resilience. This paper presents an overview of recent advancements and methodologies for optimizing microgrid operations utilizing renewable energy sources. The optimization of microgrid operations involves the strategic coordination and management of diverse energy resources, including solar photovoltaic (PV) systems, wind turbines, and energy storage systems (ESS). Key objectives include minimizing operational costs, reducing greenhouse gas emissions, ensuring reliable power supply, and maintaining system stability. Advanced optimization techniques, such as model predictive control (MPC), mixed-integer linear programming (MILP), and heuristic algorithms, play a crucial role in achieving these objectives by enabling the dynamic adjustment of energy generation and distribution in response to real-time conditions. A critical aspect of microgrid optimization is the accurate forecasting of renewable energy generation and load demand. Machine learning (ML) and artificial intelligence (AI) algorithms have been effectively employed to enhance prediction accuracy, thereby improving decision-making processes. Furthermore, the integration of ESS, such as batteries and flywheels, helps to address the intermittency of RES, providing a buffer that can store excess energy during periods of high generation and release it during peak demand. The implementation of demand response (DR) strategies within microgrids further contributes to optimization efforts. By incentivizing consumers to adjust their energy usage patterns in response to price signals or grid needs, DR programs help to balance supply and demand, reduce peak loads, and enhance overall grid reliability. Case studies and field implementations demonstrate the practical benefits of optimized microgrid operations. For instance, microgrids incorporating high shares of RES have been shown to achieve significant cost savings, improved energy security, and reduced environmental impacts. These successes underline the importance of ongoing research and development in optimization techniques and the need for supportive policy frameworks to facilitate the broader adoption of microgrids. In conclusion, optimizing microgrid operations using renewable energy sources presents a promising pathway toward a more sustainable and resilient energy future. Continued advancements in optimization algorithms, predictive analytics, and integrated system design are essential for unlocking the full potential of microgrids, ensuring they can effectively meet the evolving energy demands and environmental challenges of the 21st century. Keywords: Optimization, Microgrid, Operations, Renewable Energy, Energy Sources.

Elevating Tanzania's Tourism: Integrating GIS, AR and AI for Immersive Exploration and Promotion

This study presents a comprehensive examination of the integration of Geographic Information Systems (GIS), Augmented Reality (AR) and Artificial Intelligence (AI) in tourism promotion in Tanzania. The literature review underscores the significance of these technologies in enhancing visitor experiences, destination management, and marketing strategies. The proposed integrated system design combines GIS's spatial mapping capabilities, AI's personalised recommendations, and AR's immersive content delivery to optimise tourist satisfaction and engagement. Key components include the GIS module for spatial data management, the AI recommendation engine for personalised suggestions, and the AR interface for immersive content overlay. Discussions highlight how the proposed system, by addressing critical challenges in the tourism sector, aligns with existing research findings and reassures its effectiveness. Ultimately, the study emphasises the potential of GIS, AR and AI technologies to revolutionise tourism promotion in Tanzania, fostering sustainable growth and cultural appreciation while enhancing visitor experiences.

Integrated manifold microchannels and near-junction cooling for enhanced thermal management in 3D heterogeneous packaging technology

The rapid advancement in electronic chip technology is driving the evolution of highly integrated and high-power configurations, which in turn imposes greater demands on thermal management. This study presents a novel approach to address the thermal management challenges associated with high-density integrated chips. By incorporating the near-junction cooling method into silicon-based chips, the thermal resistance during heat conduction is effectively reduced. To further enhance heat dissipation efficiency, we integrate manifold microchannels and near-junction cooling into an aluminum nitride ceramic substrate, creating a heterogeneous three-dimensional integrated chip. To verify the effectiveness of our approach, a thermal test chip and an aluminum nitride substrate with a manifold structure are meticulously prepared and packaged for experimental testing. Remarkably, the experimental results demonstrate that the heterogeneous integrated chip, featuring manifold microchannels, achieves an impressive heat dissipation capacity of 700 W/cm2 under normal operating temperature conditions. Additionally, sensitivity analysis and multi-objective optimization approach were employed, utilizing the Response Surface-Genetic Algorithm П(NSGAП), to optimize the manifold microchannels in the heterogeneous integrated chip. The optimization process yields significant improvements, reducing the total thermal resistance of the chip by 13.6 % and the maximum pressure drop by 68.5 %. These findings provide valuable theoretical insights and guidance for the thermal design of high heat flux integrated chips, and contribute to advance the design and development of high-performance integrated circuit systems.

Voice Over for Home Security System

The Smart Home Voice Control Hub is an advanced, integrated system design to seamlessly manage and operate a variety of smart home devices using voice commands. Recent years have witnessed significant advancements in home automation driven by wireless technologies. Among these, the IEEE 802.15.4 standard, RF, stands out for its low data rate, extended battery lif e, and secure networking capabilities. This article details a method for testing voice control implementation in smart homes, emphasizing compatibility with existing infrastructure. Utilizing low-power RF wireless modules and a microcontroller, the system caters to the needs of elderly and disabled individuals living independently. By focusing on voice recognition, it off ers enhanced security and control over household lighting and appliances. Experimental validation demonstrates the system's effectiveness in practical applications.

Novel collector design and optimized photo-fenton model for sustainable industry textile wastewater treatment

Textile industry wastewater containing toxic dyes and high COD poses environmental hazards and requires treatment before discharge. This study addresses the challenge of treating complex textile wastewater using a novel integrated system. The system combines sedimentation, screening, adsorption, and an optimized solar photo-Fenton process to provide a sustainable treatment solution. A novel parabolic collector with a larger absorber tube diameter enhances solar radiation utilization at lower catalyst concentrations. This design is versatile, treating all types of wastewaters, especially those that contain colors, smells, solid and suspended materials, in addition to its importance for the treatment of difficult substances that may be present in industrial and sewage wastewaters that are difficult to dispose of by traditional treatment methods. Multivariate experiments optimized key photo-Fenton parameters (pH, catalyst dose, etc.) achieving significant pollutant removal (85% COD, 82% TOC, complete color) under specific conditions (pH 3, 0.2 g/L Fe(II), 1 mL/L H2O2, 40 °C and 100 L/h flow rate after 60 min irradiation). Kinetic modeling revealed second-order reaction kinetics, and multivariate regression analysis led to the development of models predicting treatment efficiency based on process factors. The key scientific contributions are the integrated system design combining conventional and advanced oxidation technologies, novel collector configuration for efficient utilization of solar radiation, comprehensive process optimization through multivariate experiments, kinetic modeling and predictive modeling relating process factors to pollutant degradation. This provides an economical green solution for textile wastewater treatment and reuse along with useful design guidelines. The treatment methodology and modeling approach make valuable additions for sustainable management of textile industry wastewater.

Intelligent Application of Digital Shared Management System in Journal Resource Integration

In this paper, a journal resource integration system under digital sharing was designed to assess the symmetry of the journal resource matrix using the shared resource matrix analysis method, so that the journal resources can transmit information covertly among the subjects. Subsequently, the collected journal resource data were processed to improve the accuracy of information categorization and integration to form a perfect resource management system. The nature of journal resources was deeply understood by calculating the characteristic observable vectors of journal resources. Finally, with the help of ant colony particle optimization algorithm, the sharing sequence and time of journal resources were calculated, and the metadata format of all journals was unified and standardized to complete the design of journal resource integration system. The results show that the whole average integration efficiency of journal resources is 92.8%. Compared with the traditional integration system, the integration efficiency is improved by 28.3%, which fully confirms the significant performance improvement of the designed digital system in the integration of shared journal resources.

Integrated System Design for Post-Disaster Management: Multi-Facility, Multi-Period, and Bi-Objective Optimization Approach

Disaster management requires efficient allocation of essential facilities with consideration of various objectives. During the response and recovery phase of disaster management (RRDM), various types of missions occur in multiple periods, and each of them needs different support from facilities. In this study, a bi-objective mathematical model was derived to support multi-period RRDM by optimal allocation of required facilities such as drone stations, shelters, emergency medical facilities, and warehouses according to the mission life cycle. Connectivity between facilities was considered to ensure inter-facility complementarity. For efficient derivation of Pareto solutions, a modified epsilon-constraint algorithm for bi-objective optimization was developed. The algorithm was tested with a realistic disaster simulation scenario using HAZUS 4.0 as a demonstration of the benefits of the proposed approach. With the simulation experiments, the proposed approach was expected to provide efficient operational plans and guidelines to decision makers for the bi-objective optimization problem in RRDM systems. In addition, the consideration of inter-facility connectivity can play an important role in the RRDM, especially for robustness and readiness.

Design of Human-Machine Integration System to Meet Diverse Interactive Tasks

A flexible production model in which humans and robots collaborate has become an urgent need for industrial production. Therefore, research on human-machine integration systems has received more and more attention in recent years. Human-computer interaction is widely used in industrial production and entertainment life, such as industrial control, VR games, etc. In this article, we designed and implemented a human-machine fusion system that meets different interactive tasks. Human movement estimation and robot interactive control are the key technologies. First, we propose a human posture solution method based on information fusion of multiple cameras and inertial measurement units. This method constructs an optimization problem, fuses the 2D joint detection information under multiple cameras and the measurement information of the worn inertial measurement unit, and optimizes the estimation of human kinematic posture, which improves the problems of incomplete posture information and sensitivity to noise under a single sensor. Therefore, this method improves the accuracy of pose estimation. Secondly, combining the kinematic characteristics of the robot and the characteristics of human-computer interaction, we designed a robot control strategy based on target point tracking and model predictive control, so that the robot can adapt to dynamic environments and different interaction needs by adjusting control parameters. At the same time, our design ensures the safety of robots and operators. Finally, we conducted human-computer interaction experiments such as action following, item delivery, and active obstacle avoidance. The experimental results show the effectiveness and reliability of the designed robot interaction system in a human-machine fusion environment.

Analysis of the Development Trends and Key Challenges of Zero Carbon Buildings in Tropical Islands

In the context of global climate change, particularly in tropical island regions, the construction sector, a notable contributor to CO2 emissions, necessitates a concentrated effort towards enhancing energy efficiency and reducing emissions. This study delves into the evolution and the inherent challenges associated with the development of zero-carbon buildings in such environments. It commences with an examination of key global agreements and China's significant progress in its dual carbon strategy, with a specific focus on energy and emission reduction in the construction sector. The discourse then transitions to an in-depth analysis of the current state of zero-carbon building research in tropical islands, spotlighting the advancements made by Hainan's construction industry in the low-carbon transition and the deployment of zero-carbon technologies. The paper further articulates the emergence of zero-carbon buildings as a pivotal trend in future construction practices, underscoring the crucial role of integrated system design in realizing these objectives. Despite their theoretical and practical viability, zero-carbon buildings encounter significant implementation challenges in the unique context of tropical islands. These challenges include the need for precise system integration, the quantification of design parameters' impact on building performance, and the refinement of operational strategies for zero-carbon buildings. The study also highlights the critical need for targeted research and innovation in building materials and technologies, specifically adapted to the distinctive climatic conditions of tropical islands. This comprehensive analysis provides an extensive exploration of zero-carbon buildings in tropical settings, shedding light on the primary challenges and potential solutions, thereby offering valuable insights to foster sustainable growth in the construction sector.

Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions

The influence of global warming on building performance necessitates its consideration during the design phase. The conventional approach of separately designing the buildings and energy systems may not yield the globally optimal solution. To address this issue, this study proposes a coordinated optimization design approach for buildings and regional integrated energy systems (RIES) under future climate conditions. Firstly, a future regional load prediction model based on a Random Forest algorithm optimized by the Grey Wolf Optimizer is established. Next, a bi-level optimization model is proposed, with the upper level optimizing the building envelope to minimize costs and carbon emissions, and the lower level determining the optimal configuration capacity and operating strategy of RIES for cost minimization. Multi-objective grey wolf optimizer and CPLXE are employed to address the problem. Finally, the proposed method is validated using a case study of an office area in Jinan. The results show that the method can reduce costs by 14.6 % and carbon emissions by 50.93 % compared to the prototype building area with independent production systems, highlighting the potential of synergistic design between buildings and RIES. In addition, different optimization results were obtained under typical meteorological year, shared socioeconomic pathway (SSP) 245, and SSP585 climate scenarios, indicating the impact of future climate on building and RIES design. Therefore, it is necessary to consider climate change in future design work.

A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications

A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications

Superhydrophilic-superhydrophobic integrated system based on copper mesh for continuous and efficient oil-water separation.

In petroleum, petrochemicals, metallurgy, and chemical industries, a significant volume of oily wastewater is unavoidably generated throughout the production processes. This not only harms the environment but also brings about diverse adverse effects on social and economic progress. In this study, copper mesh separation membranes exhibiting superhydrophobicity and superhydrophilicity/underwater superoleophobicity were fabricated through in situ oxidation, chemical vapor deposition, and other physical and chemical modification techniques. Moreover, copper meshes possessing contrasting wetting properties were incorporated into a system combining superhydrophilicity and superhydrophobicity enabling the continuous and efficient separation of mixed oil-water liquids. The separation efficiency of both the superhydrophobic and superhydrophilic membranes surpassed 99.0% and remained above 97.0% after 15 days of continuous use, showcasing the remarkable effectiveness and durability of the integrated system design. This research presents a straightforward and cost-effective design approach for the large-scale treatment of oily wastewater in industrial settings, which is expected to have extensive applications in practical production.

ANALISIS DESAIN SISTEM PENDATAAN FASILITAS DI PROGRAM STUDI UNIVERSITAS


 
 
 The research aims to analyze and design a campus facility management application system for the digital business program for students. The background of this research is the importance of having an efficient and integrated system to manage campus facilities in the context of the digital business program. The objectives of this study are to identify key issues in campus facility management, design a system that meets the needs of the digital business program, and test the successful implementation of the system. The research methodology includes system requirement analysis through primary and secondary data collection, identification and documentation of campus facility management processes, and system requirement analysis. The system design approach used is the Waterfall method, with sequential and structured development steps, incorporating several techniques: (1) use case diagrams and scenarios, (2) Sequence diagrams, (3) Activity diagrams. The results of this research include an integrated system design, including database design, intuitive user interface, and features such as facility registration, reservation, and availability monitoring. The system also allows students to submit repair requests and report facility damages. This research concludes that by implementing a facility management application system, the digital business program for students can be more efficient in managing campus facilities. This system enables real-time monitoring of facility availability, speeds up the reservation process, and improves responsiveness to repair requests.
 
 

Retracted: Design of Multimedia Vocal Music Education Data Integration System Based on Adaptive Genetic Algorithm

Retracted: Design of Multimedia Vocal Music Education Data Integration System Based on Adaptive Genetic Algorithm

Net zero carbon rural integrated energy system design optimization based on the energy demand in temporal and spatial dimensions

The energy demand of rural residential buildings has not received sufficient attention in previous research on rural integrated energy system (IES) design. The predominant "full-time and full-space" design principle results in the IES capacity not corresponding to the actual energy demand of rural buildings, and the impact of energy demand on IES design capacity has not been quantified. Therefore, energy demands for four scenarios ("full-time and full-space", "full-time and partial-space", "partial-time and full-space", and "partial-time and partial-space") were obtained through field investigations and simulation. Meanwhile, a rural IES capacity configuration optimization model was constructed with the economic and net zero carbon emissions constraints. The two-stage fast and elitist multi-objective genetic algorithm (Top-NSGAII) was employed to determine the optimal design for four scenarios. Results showed that the design based on "partial-time and partial-space" performs best in terms of economics, carbon emissions, and autonomy, reducing annual total costs by 6.96 %, net carbon emissions by 3492.30kgCO2, and external electricity ratio by 8.32percentage pionts, compared with the "full-time and full-space". The study quantifies the impact of energy demand on capacity design and provides a new path to realizing net zero carbon rural residential buildings.

Multi-Beam Radar Communication Integrated System Design

In this paper, we propose a multi-beam integrated radar and communication scheme using phased-array antenna, in which the same LFM-BPSK integrated waveform is used for both the radar and the communication beams. In the integrated beam design, the radar beam is periodically scanned in different directions for detection, and the communication beam is periodically manipulated in one direction for communication. The system’s beamforming uses adaptive beamforming technology to achieve radar echoes and communication reception. For the LFM-BPSK integrated waveform used by the system, we propose a method for estimating parameters during communication reception. Through simulation, the proposed beam-pattern design, adaptive beamforming, and parameter estimation scheme can achieve radar and communication functions using phased-array antennas.

Model-Based Digital Overall Integrated Design Method of AUVs

Autonomous underwater vehicles (AUVs) have the characteristics of a high performance, a complex coupling mechanism, a compact, complex system composition, as well as high requirements for design constraints, quality, and reliability. In the traditional overall design process, numerous design tools and software programs are used, which results in poor model data sharing, a lack of uniqueness and synchronization between system levels, and difficulty in process tracing. Moreover, it is challenging to meet the technical requirements for close collaboration and rapid iteration of multiple positions. To address the aforementioned limitations, this study proposes a digital overall integrated design method for the design and simulation integration of AUVs and defines a unified architecture and interface for system-level design simulation models, thus solving the interoperability and consistency problems in multiple tools and models. In addition, a model-based AUV system integration design verification method that combines different processes, specifications, and models is designed, and software similar to Cameo, which can provide technical means for system-level integrated design and achieve rapid modeling and simulation verification based on system design solutions, is developed. Finally, a practical system design is conducted by taking specific AUV equipment as a research object, and the proposed methods are compared with traditional methods to prove the improvement effect of the technical route on the equipment and development efficiency.