Empowering Renewable Energy Prosumers Through Big Data Analytics

Paper No: 17PESGM2685

Empowering Renewable Energy Prosumers through Big Data Analytics

Prof Gary Taylor 1,2, Prof Panos Louvieris 1,2 Smart Power Theme1 Big Data Analytics Cluster2 Brunel University London

[email protected] [email protected] 2 The Paris Climate Agreement Is Now International Law (4th November 2016)

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• EE-06-2016-2017: Engaging private consumers towards sustainable energy (H2020) – “Specific Challenge: Consumers should be considered at the heart of the energy system and become active market players. The future private consumer should be more aware, active, energy sufficient, as well as being a prosumer producing energy for their own consumption, where this is possible.” – “Empower and facilitate actions for consumers to become prosumers, or to form collective consumer groups/consumer cooperatives.”

• How do we achieve scale? – Motivate consumers to participate as energy prosumers – Highly distributed energy resources (flexible demand and pricing) • Intelligence through Big Data Analytics • ICT for Smart Grids: Cloud Computing, Edge Computing, IoT, Blockchain, etc.

EPSRC Digital Prosumer – Trading data futures • EPSRC funded project • Project Aim: “Empower citizen prosumers by utilising and exploiting the value of their digital self and to create a tradable futures market in digital personhoods.” • Research areas addressed: – System Build – developed an exchange platform for trading personal data as a futures product – Trading – empowers citizens to control and trade their personal data – Legal – developed legal framework to trade personal data

ECONOMIC

LOGISTIC PHYSICAL

FLEXIBLE 8 Digital Prosumer Trading Platform: Empowering Energy Prosumers

Digital Vault & Exchange

© 2016 Brunel University London 9 Big Data Analytics for Smart Power Networks: Science & Technology Effects • Smart meters and big data analytics ++ • Security and privacy, authentication, provenance, how we establish assurances for data and energy futures • Big Data Framework for connected IoT • Smart energy governance  Smart meters, contracts and distributed ledger technologies (Blockchain) • Batteries 15-20% annual reduction in cost  Next generation batteries are a catalyst for trading renewable energy • Scalable ICT infrastructure for for highly distributed energy resource management

• Current customer experience is outdated. • Big data analytics in secure smart power networks is providing new ways to engage both customers/suppliers. • Empowering integrated consumer and supplier decision making. • New economic model and trading paradigm for energy and data futures. • Sustainability through smart, flexible, distributed renewable energy and power where: I, Prosumer  We, LCE Partners

We, LCE Partners

• EPSRC Grant No: EP/L005859/1 ‘Digital Prosumer’

• http://digitalprosumer.wordpress.com

• http://www.digitalprosumer.co.uk