Technical Goals Research Articles

Enhancing mechanical properties of hot mix asphalt with olive kernel ash: A sustainable modifier

The use of agricultural waste as a sustainable modifier with functional and environmental advantages has grown appealing. While conventional modifiers offer several benefits, utilizing biological modifiers generated from agricultural resources like ash can be more effective in both technical and economic aspects. This study examines the performance of hot mix asphalt (HMA) containing modified bitumen with olive kernel ash (OKA) collected from an olive canning factory. To accomplish this goal, the modified bitumen was subjected to kinematic viscosity testing and Fourier-transforms infrared spectroscopy (FTIR) analysis to assess its chemical characteristics. Additionally, the following tests were performed on HMA: Marshall, resilient modulus, indirect tensile strength, repeated load axial creep, and semicircular bending test. Research findings reveal that the addition of 20 % OKA increases the resistance to rutting by more than 1.3 times. This is attributed to the stiffening capabilities and high density of OKA within the bitumen mixture. Reducing the moisture sensitivity of the modified mixtures, especially in the samples containing 10 % OKA, is attributed to the reduction of air voids and the improved bonding between the bitumen and aggregate. This is due to the OKA's more absorbent and reactive surface. Furthermore, fatigue analysis at intermediate temperatures showed that limiting the OKA dosage to 5–10 % can increase resistance to fatigue cracking by 11 %. Additionally, incorporating OKA at 5 % and 10 % doses into modified asphalt mixtures significantly improves fracture energy and stress intensity factors by up to 24 %. However, when the OKA dosage exceeds 10 %, a decline in performance is observed at low temperatures. In summary, according to the desired performance and workability, OKA is considered a viable alternative for bitumen modification with technical, economic, and environmental goals.

AN EFFICIENT STUDY OF PV/WIND/BATTERY/ELECTROLYZER/H2-TANK/FC FOR A REMOTE AREA ELECTRIFICATION

With the rapid development of the use of renewable energy systems, it is becoming more and more important to combine different sources into hybrid renewable energy systems. Many parameters in hybrid renewable energy systems must be optimized to effectively size hybrid system components to achieve economic, technical, and design goals practically. This paper focuses on the optimal configuration of off-grid hybrid renewable energy systems (HRES). The system consists of a photovoltaic (PV), wind turbine (WT) and battery bank (BB), fuel cell (FC) with hydrogen tank (H2-tank), and electrolyzer (Elect). The optimal size of the proposed HRES component is achieved using a novel meta-heuristic technique called the whale optimization algorithm (WOA). WOA improves the optimal configuration of HRES to produce the best minimum value of the fitness function, which converges to the global optimal solution after several iterations. The proposed WOA is used to solve the multi-objective optimization problem of the cost of energy (COE) in $/kWh and the total net present cost (TNPC) in $. Two recent algorithms, particle swarm optimization (PSO) and gray wolf optimizer (GWO), have also been implemented in this work to demonstrate the effectiveness of the proposed algorithm.

Experimental Performance of Filling Material with Modified Red Mud for Roadbed

Cement-modified red mud as roadbed filler was investigated through tests, including compaction, California Bearing Ratio (CBR), modulus of resilience (E0), unconfined compressive strength (UCS), and scanning electron microscopy. Optimum moisture content (ω0), maximum dry density(), CBR, modulus of resilience, UCS, and microscopic characteristics of red mud were analyzed in different modified states. An optimal cement admixture for red mud modification was proposed. Results showed that (1) adding cement significantly improved CBR and modulus of resilience, (2) cement-modified red mud exhibited faster initial strength formation, with 7-day UCS over 65% of 28-day UCS, (3) water stability and frost resistance improved significantly with 4% and 6% cement dosing, (4) recommended cement admixture was 1.1% without adverse conditions, but not less than 6% with water immersion. Modified red mud is unsuitable for seasonal frozen regions. The recommended blending and leaching concentration met regulatory requirements, meeting technical, environmental, and economic goals for roadbed filler in highway construction.

Key Issues and Solutions in the Study of Quantitative Mechanisms for Tropical Islands Zero Carbon Buildings

Faced with the challenges of global climate change, zero-carbon buildings (ZCB) serve as a crucial means to achieve carbon peak and carbon neutrality goals, particularly in the development of tropical island regions. This study aims to establish a ZCB technology system suitable for the unique climatic conditions of tropical islands. By employing methods such as energy flow boundaries, parametric design, and data-driven optimization algorithms, the research systematically analyzes the integrated mechanisms and optimization solutions for energy utilization, energy conservation, energy production, and intelligent systems. The study identifies and addresses key technical challenges faced by ZCB in tropical island regions, including the accurate identification of system design parameters, the precise quantification of the relationship between design parameters and building performance, and the comprehensive optimization of technical and economic goals for zero-carbon operational design solutions. The research results not only provide a comprehensive theoretical framework, promoting the development of architectural design theory, but also establish a practical framework for technology and methods, advancing the integration and application of ZCB technology. The study holds significant practical implications for the green transformation of the tropical island construction industry and the realization of national dual-carbon strategic goals. Future research should further explore the applicability of the technology system and the economic feasibility of optimized design solutions, promoting continuous innovation and development in ZCB technology.

Simulation of a solar cooling system

. In this technical and economical analysis of a building air-conditioning system, the main goal is to analyse what variables have effect on the system. To obtain the wanted temperature in the room we work, it is necessary to overcome the external conditions of temperature and radiation. However, this external conditions depend on the geographical situation, they change constantly and it is obvious that engineers cannot have an influence on current weather conditions during the making decision process. For all these reasons, once the architectural design of a building is decided, the engineer can only take decisions regarding some parameters like area of solar collectors , storage tank volume and input temperature of the absorption chiller. This article focusses on the execution of simulations in the aim of determining the optimun value of these parameters, paying attention to technical and economical goals.

Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method

In the last decade, with the development of the electric vehicle industry and their acceptance in human societies, the participation plan of electric vehicles in supplying the load of the network has been taken into consideration. One of the requirements of this plan is the optimal location of the stations for these vehicles in the network so that they play an effective role in the operation of the network. In this regard, along with the construction of charging and discharging stations for electric vehicles, the construction of renewable sources in the network can play a complementary role for these stations. In this paper, the effect of using renewable resources as a supplement for smart charging stations and the placement of these stations to achieve technical and economic goals have been investigated. In order to manage the demand on the side of consumers and even out the load curve, the time of use mechanism as one of the demand response programs has been considered in this study. In this research, the improved nondominant sorting genetic algorithm is proposed to solve the problem, and the results of the proposed method are also compared with the conventional genetic and particle swarm optimization algorithms. All the simulations have been done in the MATLAB software and on the IEEE 33‐bus network. Based on the obtained results, after the implementation of the proposed plan in the distribution network, the objective functions of the loss, voltage drop, and the total cost have been reduced by 13.6%, 58.7%, and 54.4%, respectively, compared to the base conditions of the network.

Building a Network Design and Implementation Framework of a Campus Area Network for the Mariano Marcos State University

A framework for network design and implementation is imperative to ensure value in the delivery of network services. Frameworks serve as guides in identifying value propositions to address the changing demands of the organization’s stakeholders. Frameworks prescribe efficient methods and appropriate tools that can be used to ensure that the implementation of a technological innovation addresses the demands, regardless of the changing IT landscape. The demand to deliver an efficient network service requires that the network have optimized levels of scalability, availability, performance, security, and other desirable network goals. These goals have to be prioritized depending on the goals of the organization. A framework for identifying priority service delivery components must be in place in order for the governing body and IT managers of the organization to objectively prescribe appropriate technological solutions to employ. The development of the proposed framework is patterned on Plan Design Implement Operate Optimize network life cycle, anchored on the principles of the service value chain of ITIL and the principles of IT governance using the goals cascade of COBIT. A review of existing studies was carried out to determine the prevailing technical goals and technology enablers that are peculiar to IT service management in a campus environment, specifically the delivery of computer network service. A framework was drawn to serve as a guide to achieving network design goals that are aligned with business goals, compliant with standards, and provide value to customers of state universities and colleges like Mariano Marcos State University.

Novel economic models for advancing urban energy management and transition: Simulation of urban energy system in digital twin

Globally, industrial sectors consume over 27 % of the overall power produced, half of it being utilized in equipment to process, produce, and assemble different products for the human society. Therefore, one can estimate that the planet would face a serious power shortfall which would affect the social welfare effectively. As a promising solution, utilizing current energy sources optimally will be one of the challenges to overcome the power shortages. The optimal scheduling of loads requires a useful method for achieving three technical and social goals: minimizing power consumption, optimizing peak-to-average power rate, and minimizing user wait time. In order to accomplish the above goals, this paper proposes a useful energy management system (EMS) to schedule the loads optimally. The proposed EMS is constructed based on automatic operation machines and day-ahead price methods, and it is integrated into a digital twin of the urban energy system. Moreover, a novel technical-social model based on gray wolf optimization algorithm is proposed to optimize power consumption for the industrial sector within the digital twin framework. The proposed model is applied and examined on woolen mill's various load units based on their regular operations in order to evaluate its performance and assess the potential benefits of this digital twin-based approach to urban energy management and transition. IGWOA's prowess in reducing daily power costs by 26.2 %, albeit with slightly longer wait times (1.7 h), and achieving a PAR of 7.4. Results demonstrate IGWOA's efficient computational performance with a running time of 8.702 s, enhancing its practical feasibility in real-world scenarios.

Stochastic management of electric vehicles in an intelligent parking lot in the presence of hydrogen storage system and renewable resources

The paper emphasizes the significance of sustainable energy solutions centered around electric vehicles (EVs). This involves Electric Intelligent Parking Lots (IPLs) that are interconnected with Renewable Energy Sources (RES) and Hydrogen Storage Systems (HSS) to achieve both technical and environmental goals. The study introduces a probabilistic approach to managing HSS-based energy in IPLs, employing the Probabilistic Two-Point Estimate Method (TPEM) to consider variables like sun radiation, temperature, wind speed, and IPL load. The Honey Badger Algorithm (HBA) is employed for optimization, striving to minimize operational costs related to energy distribution while maximizing profits by exploring revenue opportunities within the IPL system. This strategy enhances energy management and intelligent EV charging in IPLs, improving efficiency and economic viability. The approach is tested in a standard IPL environment integrated with RES and load demand, showcasing its successful technical and financial outcomes. Results reveal a 7.8 % profit increase from renewable resources and an additional 4.89 % when uncertainties are factored in. Ultimately, the proposed energy management framework utilizing HSS and RES integration proves effective in achieving objectives, with the potential for greater profitability through renewable resource incorporation and uncertainty consideration.

Towards resilient energy communities: Evaluating the impact of economic and technical optimization

This paper assesses the difference of optimal operation of energy communities (ECs) with respect to economic and technical goals. ECs have emerged as a promising solution for accelerating the transition to more sustainable energy systems and therefore climate change mitigation. While cost optimization (economic goal) is most commonly used in ECs, optimizing their resilience (technical goal) can be an important part of operating a distribution grid with high photovoltaic (PV) and electrical vehicle (EV) penetration in the future. This paper presents a comparative analysis of the impact of those two objective functions on overall EC costs as well as individual member costs. The findings highlight the trade-off between the flexibility measures required for a resilient EC and the cost associated with them. This study helps quantify the subsidies that would be required to incentives EC to operate in a resilient matter as a form of grid service.

Strategic risks of reforming the energy market of Ukraine in the context of the energy security

Monopoly structures and complete control over pricing deform the electric energy environment. An example of the European model of reforming the electricity market, which is based on transparency and consumer accessibility to electricity services, is shown. On this basis, the goals, and vectors of reforming the regional markets of electric energy services have been determined. It is foreseen that the reform process should be carried out on a combination of organizational, economic, technical, social, and other goals. The advantages and disadvantages of reforming the electric power market of the region and the country were identified using the author's SWOT analysis method. The proposed closed cycle of reforming the electricity market covers an interchangeable combination of the following components: regional electricity networks, market environment, information environment, financial and credit support, integration, labor resources, and communication links. Vectors of further reform are outlined. Competitiveness presupposes the free choice of a supplier by consumers in the absence of barriers to the supply and sales market. The new European format of the electricity market model creates new challenges and threats to the operation of electricity market enterprises, which relate to transparent and objective conditions of access to consumption and operation of electricity networks, impartial accelerated development of the electricity market to the requirements of the dynamism of the economic system. Reforming the electricity market combines the processes of achieving organizational, economic, technical, social, and environmental goals. However, this combination causes various consequences and risks associated with profit maximization. One of the most critical problems of the multi-system operator's functioning is ensuring its independence and mutual respect for all market participants. For this, the following measures are legally justified: procurement of related services on a competitive basis; transparent information about the available list of related services, their volumes, costs, terms, and requirements for suppliers; formation of accounting of the expense and income component when implementing the centralization of dispatching management from other types of activity; formation of access to the capacity of interstate electrical networks by conducting electronic auctions; submission of the UES development plan to the CMU of Ukraine for consideration, even in the case of inconsistency between the interested authorities; the investment component of the region will grow only under the conditions of reforming the electricity market. However, the processes of introducing a new model of the electric power services market are being formed under tight deadlines, the introduction and adoption of legislative acts, the implementation of organizational and structural transformations, and software approvals; despite everything, the processes of reforming the electric energy services market are an integral attribute of the region's integral investment policy. Keywords: energy market, energy security system of Ukraine, energy system, energy risks, strategic risks.

The JWST Resolved Stellar Populations Early Release Science Program. II. Survey Overview

We present the JWST Resolved Stellar Populations Early Release Science (ERS) program. We obtained 27.5 hr of NIRCam and NIRISS imaging of three targets in the Local Group (Milky Way globular cluster M92, ultrafaint dwarf galaxy Draco II, and star-forming dwarf galaxy WLM), which span factors of ∼105 in luminosity, ∼104 in distance, and ∼105 in surface brightness. We describe the survey strategy, scientific and technical goals, implementation details, present select NIRCam color–magnitude diagrams (CMDs), and validate the NIRCam exposure time calculator (ETC). Our CMDs are among the deepest in existence for each class of target. They touch the theoretical hydrogen-burning limit in M92 (<0.08 M ⊙; M F090W ∼ +13.6), include the lowest-mass stars observed outside the Milky Way in Draco II (0.09 M ⊙; M F090W ∼ +12.1), and reach ∼1.5 mag below the oldest main-sequence turnoff in WLM (M F090W ∼ +4.6). The PARSEC stellar models provide a good qualitative match to the NIRCam CMDs, though they are ∼0.05 mag too blue compared to M92 F090W − F150W data. Our CMDs show detector-dependent color offsets ranging from ∼0.02 mag in F090W – F150W to ∼0.1 mag in F277W – F444W; these appear to be due to differences in the zero-point calibrations among the detectors. The NIRCam ETC (v2.0) matches the signal-to-noise ratios based on photon noise in uncrowded fields, but the ETC may not be accurate in more crowded fields, similar to what is known for the Hubble Space Telescope. We release the point-source photometry package DOLPHOT, optimized for NIRCam and NIRISS, for the community.

A Fair Risk-Averse Stochastic Transactive Energy Model for 100% Renewable Multi-Microgrids in the Modern Power and Gas Incorporated Network

The ever-growing multi-vector systems along with the penetration of renewable energy sources (RESs) entail significant changes for shifting from centralized, isolated, and passive structures to potentially distributed, hybrid, and autonomous modern multi-vector energy grids (MVEGs). This paper proposes a transactive energy (TE) solution for the techno-environmentaleconomic operation of multi-carrier multi-microgrids (MCMs) with 100 TE is advanced for making a fair economic model by developing the free multi-energy sharing area (MESA) for MCMs to allow them to exchange energy with the aim of pursuing their technical, environmental, and economic goals. As 100 uncertainties in the energy production sector, appropriately modeling such stochastic variations is a necessary step for obtaining realistic results in exploring the overall system. Thereby, the stochastic conditional value at risk (CVaR) technique is developed to model the risk of MCMs presence in energy interactions, in which scenario generation and reduction are performed by applying the seasonal autoregressive integrated moving average and fast forward selection methods. The problem is cast into a tractable mixed-integer linear programming by properly linearizing AC power flow and nonlinear gas equations that allows the system to extract confident results. The coupled structure of the modified IEEE 33-bus and 14-node gas systems is used as the test system for verifying the effectiveness of the proposed model. The results show the applicability of the proposed model in reliably integrating 100% RESs as well as procuring a fair condition for MCMs in the hybrid structure of the energy grid.

Sustainable valorisation of agri-food waste from open-air markets in Kampala, Uganda via standalone and integrated waste conversion technologies

Though the magnitude of organic-rich agri-food waste arisings from open-air agri-food markets in many sub-Saharan Africa cities such as Kampala, Uganda are largely unknown, the predominant approaches to managing them, i.e., open burning and unsanitary landfilling, are unsustainable, emitting greenhouse gases, and represent an inefficient use of their intrinsic compositional and energy value. This study combined waste-to-energy (WtE) process modelling/simulation, material flow analysis and life cycle assessment to comparatively evaluate the bioenergy production, value-added material recycling opportunities and associated environmental impacts of characterised agri-food waste from three major open-air agri-food markets in Kampala City under three agri-food waste management scenarios: conventional landfilling, standalone (anaerobic digestion, AD) and integrated (hydrothermal carbonisation, HTC & anaerobic digestion; i.e., HTC-AD) technologies. Results reveal that an estimated 14.1 kt (eq. 34.8 TJ) of agri-food waste aggregated from the focus open-air markets is disposed of in an unsanitary landfill annually. Intrinsic agri-food waste compositional analyses evidence suitability for technology-based valorisation scenarios. Further, integrated HTC-AD performed better than standalone AD, marked by higher diversion of input agri-food waste from landfill (91% vs 75% for AD), recovery of diversified fuels (hydrochar and biogas) with higher energy efficiency (ηeff = 69% vs 45% for AD) and minimal environmental impacts. When benchmarked against landfilling, both technology-based valorisation scenarios significantly reduce (∼96%) adverse environmental responses for most life cycle analysis impact assessment categories. These findings demonstrate the feasibility of addressing the interlinked challenges of agri-food waste management and associated environmental pollution whilst promoting energy/value-added resource recovery from open-air agri-food markets. This is critical and timely to support near-term decision-making on selecting appropriate decentralised WtE technology-based agri-food waste valorisation systems that can realise economic, environmental, and technical (operational and strategic) goals in the city and other similar contexts.

Achieving Global Consensus on Acceptable Sound Levels for Overland Supersonic Flight

The National Aeronautics and Space Administration has committed to deliver to the International Civil Aviation Organization's Committee on Aviation Environmental Protection (CAEP) data defining community response to sounds from supersonic aircraft designed such that their sonic boom is replaced with a soft "thump". The dataset will correlate public perceptions to acoustic levels, supporting efforts to develop international standards for permissible noise from supersonic overflight. NASA is preparing for community overflight tests with the X-59, a research aircraft that generates the "sonic thump". For global consensus on standards, NASA seeks response data broadly representative of the response of the international population. NASA has engaged the international community through briefings at CAEP meetings and workshops with international participation. A virtual workshop in December 2021 focused on strategies for estimating noise exposure levels and conducting surveys to characterize annoyance levels relative to the "thump" sounds. An overview of NASA's effort, focusing on plans and technical goals for the community response tests is presented. Results of the workshop are briefed, including considerations for ensuring broad representativeness of results and estimation of the sound levels across the test community. Workshop feedback will be discussed, along with how it will be addressed in NASA's planning.

Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling

Abstract. Accurately simulating snow cover dynamics and the snow–atmosphere coupling is of major importance for topics as wide-ranging as water resources, natural hazards, and climate change impacts with consequences for sea level rise. We present a new modelling framework for atmospheric flow simulations for cryospheric regions called CRYOWRF. CRYOWRF couples the state-of-the-art and widely used atmospheric model WRF (the Weather Research and Forecasting model) with the detailed snow cover model SNOWPACK. CRYOWRF makes it feasible to simulate the dynamics of a large number of snow layers governed by grain-scale prognostic variables with online coupling to the atmosphere for multiscale simulations from the synoptic to the turbulent scales. Additionally, a new blowing snow scheme is introduced in CRYOWRF and is discussed in detail. CRYOWRF's technical design goals and model capabilities are described, and the performance costs are shown to compare favourably with existing land surface schemes. Three case studies showcasing envisaged use cases for CRYOWRF for polar ice sheets and alpine snowpacks are provided to equip potential users with templates for their research. Finally, the future roadmap for CRYOWRF's development and usage is discussed.

Rudolph et al. Respond to "Mathematization of Epidemiology".

We appreciate the opportunity to respond to Cartus and Marshall’s (1) commentary on our paper (2). First, we would like to thank them for their kind feedback and their excellent discussion of numerous structural factors that impact the opioid epidemic and, in particular, the suboptimal and inequitable treatment of opioid use disorder (OUD). We wholeheartedly agree that upstream changes at the national, state, local, and clinical levels (like the recent repeal of the X-waiver requirement for buprenorphine prescribing) are sorely needed to improve access to and quality of medication for opioid use disorder (MOUD) treatments to all who could benefit. Cartus and Marshall raise an interesting set of issues regarding the potential trade-offs between investing in technical sophistication and public health considerations. We are sympathetic to the concern that the broader social context, policy environment, and general public health relevance may sometimes be considered secondary to the technical goals of a particular analysis. However, we do not see technical sophistication and public health relevance as a zero-sum game. In fact, we believe that technical sophistication can, in certain cases, even help clarify public health relevance.

An innovative transactive energy architecture for community microgrids in modern multi-carrier energy networks: a Chicago case study

As the technology of multi-energy carbon-free systems is strikingly developed, renewable-based multi-vector energy integration has become a prevalent trend in the decarbonization procedure of multi-carrier energy networks (MCENs). This paper proposes a fair transactive energy model for structuring an innovative local multi-energy trading market to allow multi-carrier multi-microgrids (MCMGs) with 100% renewable energy sources (RESs) in Chicago for free energy exchange aiming to balance energy in the renewable-dominant environment. Indeed, the main goal of the proposed model is to facilitate the modernization of future MCENs that are targeted to be equipped with 100% RESs and require a holistic model engaged with innovative technologies for the realization. To this end, the transactive energy architecture is designed for techno-environmental-economic assessing hybrid MCMGs to increase their flexibility in unbroken energy serving, decreasing their dependency on the main grid, and improving their economic benefits by considering their contribution level in energy interactions. To effectively model uncertainties of MCENs with 100% RESs, the novel hybrid technique is proposed that considers various stochastic changes of uncertain parameters to achieve confident results. The results highlighted the capability of the proposed model in effectively utilizing fully produced clean energy as well as continuously multi-energy serving of MCMGs in the presence of 100% RESs. Moreover, MCMGs reached techno-environmental-economic benefits by operating under the proposed transactive energy-based model, in which the technical, environmental, and economic goals are respectively realized by considering all constraints of MCENs, producing 100% clean energy by RESs, and reducing the total energy cost from $1,274,742.55 in the based model to $1,159,235.89 in the proposed one.

Tension and transition between technical and conformance devices in sino-foreign university alliances towards innovativeness

Organisational literature draws a tension between technical and conformance goals and means for socio-economic development and the merits of one versus the other. However, the tension between the technical and conformance core might be transitive when the focus shifts from evaluating the outcome to assessing the intentions. This study addresses this issue in the context of the Sino-foreign university alliance and its technical-conformance tension at the earlier stages of organisational development through innovativeness. How does conformance influence the link between the intended technical core and organisational innovativeness? This study addresses the question of the tension and transition between conformance and technical core devices used in the strategic alliance formation between universities. We used a unique set of data: the MOU (memorandum of understanding) signed for the Sino-foreign alliance in the internationalisation of Chinese universities. Based on 831 MOUs (1994 to 2013) available in the press release, we coded and developed integrated three main concepts: innovativeness (dependent variable), technical core for technical devices, and conformance for normative devices. After normalising and standardising the dependent variable, we tested the direct and interaction effects. The main effect of the technical core is positive, but the main effect of the conformance core is negative. Thus, the interaction between them is positive. Furthermore, the path of the conformance-to-technical core has stronger effects on the negative correlation than the path from technical-to-conformance.

Evolução da Indústria 4.0 para a Indústria 5.0: Avaliação da estrutura concetual e perspectivas de um campo emergente

Abstract The world is experiencing unprecedented transformation brought about by the Fourth Industrial Revolution, also known as Industry 4.0, and the pandemic caused by COVID-19. Industry 4.0 seeks to transcend from the physical production processes to the digital environment, strengthening the link between the production agents. However, the pandemic evidenced the need to transform the industry and how it fosters global development. The Fifth Industrial Revolution or Industry 5.0 arises at this point and it sets a new paradigm of development and seeks to foster an industrial activity transcending the technical or economic goals, such as productivity and efficiency. Industry 5.0 fosters essential purposes for the future, which its predecessor did not state clearly. Nevertheless, as it is a new concept based on another relatively new, it is complicated to identify the components distinguishing it and boosting its development, as well as the most relevant agents in its consolidation. In this sense, by using bibliometric techniques and tools, this piece of research analyzes the conceptual structure of Industry 5.0, pursuant to its productivity, impact and contents according to the literature available in Scopus. To this end, we have retrieved and analyzed 343 publications from 2018 to 2022, using SciMAT, which has allowed us to establish a detailed frame of reference about the main lines of research, development and innovation related to Industry 5.0 and the agents vitalizing it.