Knowledge sharing in smart grid pilot projects

Industry 4.0 is a concept that originated from the German industry, and whose essence is the use of technology for efficient production. In business today, the emergence of Industry 4.0 for production, and its related technologies, such as the Internet of Things (IoT) and cyber-physical systems, amongst others, have, however, a negative impact on environmental sustainability as a result of air pollution, the poor discharge of waste, and the intensive use of raw materials, information, and energy. The method used in this study is an analysis of a literature review of manuscripts discussing topics related to Industry 4.0 and environmental sustainability published between 2000 and 2020. There is currently a gap existing between the actual and the desired situation, in that production occurs in a weak sustainability model, and, therefore, this research debates the effects on environmental sustainability and the challenges facing Industry 4.0. Four scenarios are discussed: a deployment scenario, an operation scenario, integration and compliance with sustainable development goals, and a long-run scenario. The results indicate that there is a negative relationship related to the flow of the production process from the inputs to the final product, including raw materials, energy requirements, information, and waste disposal, and their impacts on the environment. However, the integration of Industry 4.0 and the sustainable development goals enhance environmental sustainability to create ecological support that guarantees high environmental performance with a more positive impact than before. This paper will help stakeholders and companies to provide solutions to the existing environmental challenges that can be mediated through adopting new technologies. The novelty of this study is its depiction of Industry 4.0 and its technologies integrated with sustainable development goals to create a sustainable Industry 4.0 combining environmental protection and sustainability.

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“…Better customer experience [29]. Knowledge sharing increased among them [30]. Changing needs of consumers supported [31].…”

Section: Added Value To Consumers Additional Values To Companiesmentioning

confidence: 99%

“…Disposal of the waste harmful to society [69]. High revenue through vertical and horizontal integration [30].…”

Section: Dimension Advantages Disadvantagesmentioning

confidence: 99%

Impact of Industry 4.0 on Environmental Sustainability

et al. 2020

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“…In the field of smart grids (SG), the case studies are two pilot projects implemented in the Netherlands, in which nearly 50 households in two neighbourhoods are interconnected with specific smart grid approaches. Such pilot projects are currently the dominant form of smart grid implementation for residential households (Evers and Chappin 2020;Grimm, Kretschmer, and Mehl 2020). Data on the aims, technological set-up, and actors involved in these pilot projects was collected using semi-structured interviews and a document analysis in the context of the study in Milchram et al (2020).…”

Section: Approachmentioning

confidence: 99%

Using the Capability Approach as a normative perspective on energy justice: Insights from two case studies on digitalisation in the energy sector

Hillerbrand

Milchram

Schippl

2021

Journal of Human Development and Capabilities

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This paper explores how the Capability Approach (CA) can enrich the concept of energy justice by assessing the impact of two cases of digitalisation in the energy sector. Digitalisation promises technical solutions to pressing challenges in the energy sector such as climate change and fossil fuel scarcity. Current academic and popular discussions of these solutions are dominated by a technoutopian ideal, which sometimes obscures complex ethical and social challenges. Furthermore, technology assessment in the energy sector often focuses on environmental and economic aspects of sustainability, while issues of energy justice or broader ethical concerns are often a low priority. In this paper, we explore whether Nussbaum's version of the CA can be used as a systematic approach to the assessment of technological options that helps bring energy justice into the spotlight. Drawing on examples from two different areas of the energy system, namely, smart grids for the electricity sector and autonomous vehicles for the mobility sector, we demonstrate that the CA provides a normative framework that allows for aspects of individual deliberation and as such is well suited as a normative metric for the conception of energy justice in social science.

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“…In Brazil as in Africa, the current electrical system requires a change for new perspectives. Gerwin Evers and Maryse M. H. Chappin show the level of knowledge sharing on intelligent electrical networks and presents four levels of classification of this knowledge: intra-organizational, intra-project, interproject and project-external knowledge sharing [17]. M. Ourahou and al.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-agent System for Management of Data from Electrical Smart Meters

Yacouba¹,

Training²,

Diabagaté³

et al. 2021

IJITCS

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The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduling. This work presents a scheduling and a collection mechanism in private power consumption data between both sensors and smart meters on one hand and between smart meters and the central data collection system on other hand. We have found several approaches to intelligent meter data management in scientific researches. We propose another approach in response to this concern for the scheduling and collection of measurement data to a central system from residential areas of sensors’ network connected to smart meters. This work is also an example of a link between data collection and data scheduling in intelligent information management, transmission, and protection. We also propose a modeling of the measurement objects of smart grid and highlight the changes made to these objects throughout the process of data processing. It should be noted that this smart grid system consists of three main active systems namely sensors, smart meters and central system. In addition to these three systems, there are other systems that communicate with the smart meters and the central system. We have identified three implementation models for the smart metering system. We also present an intelligent architecture based on multi-agent systems for the smart grid. Most current electricity management systems are not adapted to the new challenges imposed by social and economic development in Africa. The objectives of this study are to initiate the design of a smart grid system for the management of electricity data.

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Knowledge sharing in smart grid pilot projects

Cited by 14 publications

References 45 publications

Impact of Industry 4.0 on Environmental Sustainability

Impact of Industry 4.0 on Environmental Sustainability

Using the Capability Approach as a normative perspective on energy justice: Insights from two case studies on digitalisation in the energy sector

Multi-agent System for Management of Data from Electrical Smart Meters

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