Real-World Implementation of an ICT-Based Platform to Promote Energy Efficiency

Дорохова, Марина; Ribeiro, Fernando José da Silva Paiva; Barbosa, António; Viana, João; Soares, Filipe; Wyrsch, Nicolas

doi:10.3390/en14092416

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…The modern information and communication technologies (ICTs), which are based on the leading capabilities of the digital economy and Industry 4.0, allow achieving prominent results in implementing the SDGs of the ecological block (Popkova and Sergi, 2020). In the aspect of energy efficiency, digital sensors allow for a timely (in real-time) detection and liquidation of energy loss during its transportation (e.g., Smart Grid) (Dorokhova al., 2021). Energy-saving technologies stimulate the reduction of energy intensity of households and productions (Dhahri et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Popkova¹,

Inshakova²,

Bogoviz³

et al. 2021

Front. Energy Res.

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The goal of this paper is to prove the necessity for a more thorough consideration and more active use of the modern ICTs for the technological support for the practical implementation of the SDGs’ ecological block in the aspect of the increase of energy efficiency and environmental pollution control. The originality of this paper is as follows: it develops a proprietary methodology of evaluating the technical readiness (level of the development of ICTs) for implementing the ecological block of the SDGs, which envisage the increase of energy efficiency and the growth of environmental pollution control. The highest (but moderate) technological readiness to implement the ecological block of the SDGs among developed countries has been shown by Canada (14.42 points) and Denmark (11.03 points), among developing countries—China (7.72 points). As a result, it has been proved that UCTs are a perspective tool of the practical implementation of the ecological block of the SDGs, stimulating the increase of energy efficiency and improving the environment pollution control. For developed countries, it is recommended to increase the use of Big data and AI analytics by 90.36% and increase the use of ICTs in E-government by 89.74%. This will allow achieving the growth of energy efficiency by 8.28% and the decrease of environmental pollution by 28.41%. In developing countries, it is recommended to increase world robots distribution by 14.17% and increase the use of ICTs in E-government by 76.74%. This will allow increasing the energy efficiency by 16.77% and decreasing the level of environmental pollution by 15.54%. This paper’s contribution to literature (innovative aspect of research) consists in filling the gap of the uncertainty (underdevelopment) of the tools for practical implementation of the SDGs ecological block. This paper has demonstrated the substantial potential of ICTs in the stimulation of the growth of energy efficiency and reduction of environmental pollution in developed and developing countries.

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Section: Introductionmentioning

confidence: 99%

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Popkova¹,

Inshakova²,

Bogoviz³

et al. 2021

Front. Energy Res.

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“…All the applications mentioned above do not account for the fact that SM data contains, by nature, sensitive information such as occupancy (which can potentially be predicted [19,20,21,22,23]). For this reason, data privacy has to be tackled from a regulatory perspective [24] and from a technical perspective [25].…”

Section: Introductionmentioning

confidence: 99%

Privacy-preserving methods for smart-meter-based network simulations

Holweger¹,

Bloch²,

Ballif³

et al. 2021

Preprint

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Smart-meters are a key component of energy transition. The large amount of data collected in near real-time allows grid operators to observe and simulate network states. However, privacy-preserving rules forbid the use of such data for any applications other than network operation and billing. Smartmeter measurements must be anonymised to transmit these sensitive data to a third party to perform network simulation and analysis. This work proposes two methods for data anonymisation that enable the use of raw active power measurements for network simulation and analysis. The first is based on an allocation of an externally sourced load database. The second consists of grouping smart-meter data with similar electric characteristics, then performing a random permutation of the network load-bus assignment. A benchmark of these two methods highlights that both provide similar results in bus-voltage magnitude estimation concerning ground-truth voltage.

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Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data

Lin

Huang

2023

Energy

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Real-World Implementation of an ICT-Based Platform to Promote Energy Efficiency

Cited by 9 publications

References 11 publications

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Privacy-preserving methods for smart-meter-based network simulations

Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data

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