Journal:Smart grids and ethics: A case study

From LIMSWiki
Revision as of 19:37, 29 July 2019 by Shawndouglas (talk | contribs) (Saving and adding more.)
Jump to navigationJump to search
Full article title Smart grids and ethics: A case study
Journal ORBIT Journal
Author(s) Hatzakis, Tally; Rodrigues, Rowena; Wright, David
Author affiliation(s) Trilateral Research
Primary contact Email: Tally dot Hatzakis at trilateralresearch dot com
Year published 2019
Volume and issue 2(2)
Page(s) 108
DOI 10.29297/orbit.v2i2.108
ISSN 2515-8562
Distribution license Creative Commons Attribution 4.0 International
Website https://www.orbit-rri.org/ojs/index.php/orbit/article/view/108
Download https://www.orbit-rri.org/ojs/index.php/orbit/article/view/108/119 (PDF)

Abstract

This case study explores the principal ethical issues that occur in the use of smart information systems (SIS) in smart grids and offers suggestions as to how they might be addressed. Key issues highlighted in the literature are reviewed. The empirical case study describes one of the largest distribution system operators (DSOs) in the Netherlands. The aim of this case study is to identify which ethical issues arise from the use of SIS in smart grids, the current efforts of the organization to address them, and whether practitioners are facing additional issues not addressed in current literature. The literature review highlights mainly ethical issues around health and safety, privacy and informed consent, cyber-risks and energy security, affordability, equity, and sustainability. The key topics raised by interviewees revolved around privacy and to some extent cybersecurity. This may be due to the prevalence of the issue within the sector and the company in particular or due to the positions held by interviewees in the organization. Issues of sectorial dynamics and public trust, codes of conduct, and regulation were raised in the interviews, which are not discussed in the literature. Rather, this paper hence highlights the ability of case studies to identify ethical issues not covered (or covered to an inadequate degree) in the academic literature which are facing practitioners in the energy sector.

Keywords: smart grids, ethics, big data

Introduction

As a crucial element of our overall energy and climate strategy, we need to ensure that our energy infrastructure is sustainable, goal-oriented and operational. - Miguel Arias Cañete, European Commissioner for Climate Action and Energy

The energy sector represents the critical infrastructure upon which all other economic activities, modern life conveniences, and services—including the wide spectrum of information and communication technologies (ICT)—are based. The expected demands on the energy sector over the coming years will be immense due to the proliferation of ICT technologies and their ubiquitous use in all aspects of social and economic life.

Many factors will increase society’s electricity demands in Europe, such as the advent of internet of things[a] (IoT) sensors, the increased digitization of social life due to robotics and blockchain[b], the further digitization of industry, and the transition from vehicles using fossil fuel to electric vehicles. In parallel, to tackle climate change and decrease reliance on imported fossil fuels, Europe is pushing for greater integration of renewables in the mix of energy production sources. In combination, both put great pressure on the capacity of Europe’s pre-existing energy distribution network infrastructure, which cannot currently scale up to meet expected demands, at least not if managed in traditional ways. European countries have two options[1]: invest in upgrading energy infrastructure networks or optimize the use of the existing infrastructure capacity by utilizing smart information systems (SIS).

On the supply side, improved efficiency can derive from better management of volatile renewable energy generation solutions, improved maintenance of the energy grid infrastructure, and even enhancing modelling of demand needs and thereby infrastructure investments. On the demand side, improved efficiency can derive from shifting energy consumption patterns through real-time demand-response pricing and load balancing across the grid.[2]

While the use of SIS in energy distribution, i.e., in smart grids, holds the promise that countries will be able to ensure affordable and sustainable energy for the ever-increasing energy demands of smart living[2], it presents a number of ethical challenges.[3]

This case study reviews the social, ethical, and human rights issues arising from the utilization of SIS (artificial intelligence [AI] technologies and big data analytics) in the energy sector, and in particular in smart energy grids. The next section explains the use of SIS in the energy sector and in particular in energy distribution via energy grids. The section after, a review of the current implementation of big data and AI-powered analytics in the energy sector and the ethical issues that may arise as a result are reviewed. The section focuses on the types of SIS technologies being used and highlights the range of social and ethical issues surrounding their use. The third section will analyse a Dutch distribution system operator (DSO) company, while the fourth will explore and critically evaluate ethical issues arising from the introduction of SIS technologies in smart grids in practice, through interviews conducted with staff members. This section will evaluate whether there are policies and procedures in place to tackle these issues and what the protocol is for addressing concerns.

The use of SIS in smart grids

The use of SIS in energy promises to ensure sustainable affordable energy for the ever-increasing demands of smart living without big investments in the energy distribution systems in two ways. First, SIS allow for the optimizations of energy supply and demand management from existing resources. Smart grids involve a host of intelligent technologies to improve the management of the energy distribution network that connects energy producers with consumers. These include:

• sensors that collect real-time information about energy quality at different points along the distribution network; • sensors that collect information about consumption via smart meters installed in people’s houses; • a mechanism to analyze all collected data in order to better predict energy needs, optimize supply and demand, and swiftly respond to unpredictable changes in either; and • a means to provide the necessary insights to design incentivization programs to change energy consumption behaviors.

Second, smart grids enable the safe incorporation of renewables and green electricity into the grid. While renewables are a key component of Europe’s sustainability goals, their integration poses a challenge for traditional power grids. Surges of power generated by renewables may overcharge the grid leading to power cuts and costly maintenance work, or compromise the reliability and quality of the electricity provided.[4] SIS allow to safely manage the risks from integrating renewables into the energy production mix. According to Liang[5], quality issues arise from:

• voltage and frequency fluctuations that can be caused by the intermittent nature of renewable energy production due to changing weather conditions, and • harmonic (wavelength) distortions introduced by electronic devices utilized in renewable energy generation.

Such risks introduced by renewable energy technologies may affect the performance of electrical equipment, particularly sensitive electronic devices. A number of problems can compromise the performance and reliability of electronic systems, such as equipment shutoff, errors or memory loss, loss of data and burned circuit boards, reader errors, and the like. To handle such volatility requires the monitoring and control of electricity from the point of production to the point of consumption, as well as real-time adjustments in energy distribution depending on fluctuations in weather conditions, fluctuations in energy generation and demand, and other factors that can affect the quality of the energy supply.[6] Hence, the use of smart grid technologies can help solve the World Energy Council's "Energy Trilemma": how to secure (energy security) affordable energy for all (energy equity) in a sustainable manner (environmental sustainability).


Fig1 Hatzakis ORBITJ2019 2-2.png

Fig. 1 The three dimensions of the Energy Trilemma. Source: World Energy Trilemma Index 2018, World Energy Council 2018



Footnotes

  1. "The interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data." Source
  2. "A system in which a record of transactions made in bitcoin or another cryptocurrency are maintained across several computers that are linked in a peer-to-peer network." Source. The term is now used for recording exchanges beyond cryptocurrency.

References

  1. European Commission (17 June 2014). "Benchmarking smart metering deployment in the EU-27 with a focus on electricity". Publications Office of the European Union. https://ses.jrc.ec.europa.eu/publications/reports/benchmarking-smart-metering-deployment-eu-27-focus-electricity. 
  2. 2.0 2.1 European Commission (2016). "ransforming the European Energy System Through INNOVATION:Integrated SET Plan Progress in 2016". Publications Office of the European Union. doi:10.2833/661954. https://setis.ec.europa.eu/transforming-european-energy-system-through-innovation-2016. 
  3. Ramchurn, S.D.; Vytelingum, P.; Rogers, A.; Jennings, N.R. (2012). "Putting the 'smarts' into the smart grid: A grand challenge for artificial intelligence". Communications of the ACM 55 (4): 86–97. doi:10.1145/2133806.2133825. 
  4. Rathi, A. (8 April 2017). "The UK’s electrical grid is so overrun with renewable power, it may pay wind farms to stop producing it". Quartz. https://qz.com/952827/the-uks-electrical-grid-is-so-overrun-with-renewable-power-it-may-pay-wind-farms-to-stop-producing-it/. Retrieved 19 January 2019. 
  5. Liang, X. (2017). "Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources". IEEE Transactions on Industry Applications 53 (2): 855–866. doi:10.1109/TIA.2016.2626253. 
  6. Rojin, R.K. (2013). "A Review of Power Quality Problems and Solutions in Electrical Power System". International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2 (11): 5605–5614. http://www.rroij.com/open-access/a-review-of-power-qualityproblems-and-solutions-inelectrical-power-system.php?aid=42532. 

Notes

This presentation is faithful to the original, with only a few minor changes to presentation, grammar, and punctuation. In some cases important information was missing from the references, and that information was added. To more easily differentiate footnotes from references, the original footnotes (which where numbered) were updated to use lowercase letters. The original article has an inline citation for Servapali et al. 2012 but nothing listed in the sources for it. An educated guess was made concerning the source and was added for this version.