Cloud Computing Technology

Co., Ltd. Huawei Technologies

doi:10.1007/978-981-19-3026-3

Cited by 10 publications

(19 citation statements)

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“…T A B L E A 2 Different components' techno-economic data is used as simulated input data. 23,62,65,[67][68][69]73,75,76…”

Section: Discussionmentioning

confidence: 99%

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Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Kushwaha,

Bhattacharjee

2024

Env Prog and Sustain Energy

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Electricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.

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“…T A B L E A 2 Different components' techno-economic data is used as simulated input data. 23,62,65,[67][68][69]73,75,76…”

Section: Discussionmentioning

confidence: 99%

“…The total carbon emissions in HRES are calculated using Equation ( 22), [67][68][69] that takes into account fuel exhaustion and all HRES component emissions (manufacturing).…”

Section: Environmental Factorsmentioning

confidence: 99%

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Kushwaha,

Bhattacharjee

2024

Env Prog and Sustain Energy

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“…Specific prerequisites may depend on project-specific factors like collaboration requirements, data volumes and the computational tasks performed on the data. Storage technology for various applications has evolved significantly over the past decades, 63 and a large heterogeneity of storage modalities is found in the research landscape. While individual research groups still often rely on NAS servers or hard drives for data storage, diverse institutional offers might exist, for example, file systems, tape systems for cold storage, distributed or virtual storage and object storage.…”

Section: Storage and Organisationmentioning

confidence: 99%

“…Aspects regarding storage reliability technologies (e.g., RAID or erasure coding) are to be considered. 60,63 The complexity behind the growing trend towards working 'in the cloud' is sometimes underestimated by scientists without in-depth IT knowledge. 64,65 Besides providing sufficient storage space and network capacity, the storage modality must be appropriate for the data type to allow more than merely holding the data in a certain location.…”

Section: Storage and Organisationmentioning

confidence: 99%

A practical guide to bioimaging research data management in core facilities

Schmidt,

Boissonnet,

Dohle

et al. 2024

Journal of Microscopy

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Bioimage data are generated in diverse research fields throughout the life and biomedical sciences. Its potential for advancing scientific progress via modern, data‐driven discovery approaches reaches beyond disciplinary borders. To fully exploit this potential, it is necessary to make bioimaging data, in general, multidimensional microscopy images and image series, FAIR, that is, findable, accessible, interoperable and reusable. These FAIR principles for research data management are now widely accepted in the scientific community and have been adopted by funding agencies, policymakers and publishers. To remain competitive and at the forefront of research, implementing the FAIR principles into daily routines is an essential but challenging task for researchers and research infrastructures. Imaging core facilities, well‐established providers of access to imaging equipment and expertise, are in an excellent position to lead this transformation in bioimaging research data management. They are positioned at the intersection of research groups, IT infrastructure providers, the institution´s administration, and microscope vendors. In the frame of German BioImaging – Society for Microscopy and Image Analysis (GerBI‐GMB), cross‐institutional working groups and third‐party funded projects were initiated in recent years to advance the bioimaging community's capability and capacity for FAIR bioimage data management. Here, we provide an imaging‐core‐facility‐centric perspective outlining the experience and current strategies in Germany to facilitate the practical adoption of the FAIR principles closely aligned with the international bioimaging community. We highlight which tools and services are ready to be implemented and what the future directions for FAIR bioimage data have to offer.

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“…Grove sensors are modular electronic sensors designed by the Seeed Studio [55]. Grove sensors include a variety of sensors, such as temperature sensors, humidity sensors, light sensors, motion sensors, sound sensors, gas sensors, and many more (Figure 3).…”

Section: Custom Interface Boardsmentioning

confidence: 99%

Design and Implementation of ESP32-Based IoT Devices

Hercog

Lerher

Truntič

et al. 2023

Sensors

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The Internet of Things (IoT) has become a transformative technology with great potential in various sectors, including home automation, industrial control, environmental monitoring, agriculture, wearables, health monitoring, and others. The growing presence of IoT devices stimulates schools and academic institutions to integrate IoT into the educational process, since IoT skills are in demand in the labor market. This paper presents educational IoT tools and technologies that simplify the design, implementation, and testing of IoT applications. The article presents the introductory IoT course that students perform initially and then presents some of the projects that they develop and implement on their own later in the project.

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Cloud Computing Technology

Cited by 10 publications

References 0 publications

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

A practical guide to bioimaging research data management in core facilities

Design and Implementation of ESP32-Based IoT Devices

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