A systematic review of environmental and economic impacts of smart grids

Moretti, Michele; Djomo, Sylvestre Njakou; Azadi, Hossein; May, Kristof; Vos, Kristof De; Passel, Steven Van; Witters, Nele

doi:10.1016/j.rser.2016.03.039

Cited by 130 publications

(41 citation statements)

References 42 publications

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“…Bhattacharyya and Palit, 2016;Kirchoff et al, 2016;Williams et al, 2015), as well as smart grids globally (e.g. Tuballa and Abundo, 2016;Moretti et al, 2016;Wo, Varaiya and Hui, 2015;Clastres, 2011).…”

Section: Research Gapsmentioning

confidence: 99%

Scalable off-grid energy services enabled by IoT: A case study of BBOXX SMART Solar

Bisaga

Puźniak-Holford²,

Grealish³

et al. 2017

Energy Policy

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This case study intends to show how Internet of Things (IoT) technology can be used to tackle development challenges by using the case study of BBOXX-a Solar Home Systems provider operating in South-Western Kenya and across Rwanda, and its SMART Solar platform applied to nearly 20,000 currently active systems. It aims to highlight the benefits of such technology to its users and how it can be utilised to create scalable business models for energy access through improved customer understanding. However, it also shows the difficulties in designing, developing and deploying appropriate technologies in an affordable and impactful way.Similar applications in the water sector are briefly looked at to further explore the potential and the challenges of IoT technologies in driving social and economic development. The case study raises ethical questions about the storage, collection and sharing of data and explores whether the data protection models prevalent in the developed world are applicable in a development context. It offers ideas for future research and policy recommendations, pointing to the need of including financial, socio-economic and ethical considerations in the processes of innovative solutions development.

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Section: Research Gapsmentioning

confidence: 99%

Scalable off-grid energy services enabled by IoT: A case study of BBOXX SMART Solar

Bisaga

Puźniak-Holford²,

Grealish³

et al. 2017

Energy Policy

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“…Although EMS can be applied to systems without microgrids, and neither EMS nor microgrids necessarily include renewable sources of energy, since 2000, there has been an evolving trend to manage energy generation and distribution by means of smart grids 1 . These have the advantages of improved energy reliability and security, shifted peak loads, increased efficiency, and reduced greenhouse gas emissions.…”

Section: Background and Summarymentioning

confidence: 99%

Multiyear microgrid data from a research building in Tsukuba, Japan

2019

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Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research buildings. To enable modelling of the actual microgrid performance of a research environment, we present a multiyear dataset of a microgrid with solar arrays and a battery. The main energy datasets comprise data per second supplemented by hourly solar irradiation data. These may be combined with data concerning the hourly electricity prices from the main grid and the low-electricity-price periods of national holidays. The level of detail of the data per second in combination with the hourly data in these datasets allows for a comparison to the efficiency and weather-parameter correlation of other renewable energy technologies, as well as forecasting future energy generation and consumption.

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“…Adaptive controls using integrated mixed integer linear programming (MILP) were used in [73] to assess the flexibility benefits of microgrid systems and operational costs savings were demonstrated. [74] provides a systematic review of published research on the environmental and economic impacts of smart grids. This in-depth and detailed study highlighted the inconsistency in the methods used, the underlying assumptions and results, and recommended that 'there is a need to develop and test a framework for cost-benefit assessments' of smart grid systems.…”

Section: Renewable Energy Resources and Technologiesmentioning

confidence: 99%