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Revision as of 16:45, 18 August 2015 by Kate (Talk | contribs) (E: Social/cultural)

A: Technical- Energy

What we know What we could know
Power, heat and gas flows in city and known patterns of change
  • MSOA level electricity and gas consumption
  • A bottom up address level model of heat demand
  • Bottom up address level model of electricity
  • Temporal model of electricity demand based on load profiles
  • Information on upcoming developments in Bristol with large projected load
Current and future ‘local power generation’ levels and intermittency caused
  • Good estimate of current energy generation capacity within Bristol
  • More information about intermittency of renewable generation
Electricity distribution system operational issues and expectations in ‘smarter’ system
  • Map of demand per substation per LSOA
  • Available capacity in distribution network for distributed generation
  • More about the effects of distributed generation on the distribution network
  • Outcome of SoLa Bristol project
Opportunities for demand side response and reduction in the city (power and heat)
  • Technical maximum demand shift at different times of day and year
Anticipated uses of smart energy data in future energy system management - what gets smart?
  • There are several potential smart devices that could be adopted
  • Expected levels of uptake of smart devices within the home
Inventory of large discretionary loads in the city
Storage technology development trends and potential opportunities
  • The different existing storage technologies
  • The options that could be used within a city like Bristol do not appear to be economically viable at present
  • More about EVs being used as a storage medium
  • Future feasibility of storage

Potential collaborator contributions

WPD could:

  • provide information about the issues arising from distributed generation
  • provide data from distributed generation map

BCC could:

  • provide data from their wind turbines

DNGVL could:

  • help understand virtual power plants

B: Technical - Data and IT

What we know What we could know
IT, data handling, storage and analytics requirement for city-scale activity
Data comms and opportunities for data capture within anticipated flows
Smart meter functionality and consumer access device opportunities
Using smart meter and energy data to improve energy management – tools and apps
Integrating smart energy data and sensors and controls (‘internet of things’) – what’s in the pipeline and what benefits can it bring (energy and in other spheres – e.g. health)?
Engagement with DNO and GDO to establish real-time data feeds at various network nodes (cf just smart meters)
Use of local data to minimise search costs to target assistance on those who need it most.

Potential collaborator contributions

C: Commercial

What we know What we could know
Value flows in energy system and in smart meter roll-out – scaled to ‘Bristol scale’
Understanding markets where value is traded (balancing, capacity etc)
Understanding value created by smarter energy response and management of system at city scale (and how that will change over time)
Understanding potential financial value of using smart energy data in other services (e.g. health improvement – thermal safeguarding etc)
Energy supplier smart meter roll-out plans and potential for securing integrated city-wide approach
Potential business models for city-wide approach
Innovation and research activities and funding sources for smart energy data/city development
Investment requirements and potential sources

Potential collaborator contributions

D: Regulatory/policy

What we know What we could know
Smart meter roll-out plans and timetable (incl. opportunities for involvement, data issues, support for vulnerable etc) Expecting to enter the the roll-out phase by April 2016 - one of the main reasons for delay is the finalising of the Smart Meter Technical Specification 2 (SMETS2) which all new smart meters will need to be designed in accordance with.                          

The Energy Companies are responsible for the rollout and must meet the legislation set out in the Smart Metering Code of Practice (SMICoP). This concerns customer care pre, during and post installation.                                                                        

Smart meter data may enable better identification of vulnerable customers with energy debts -one argument for energy companies accessing more data.

Must keep up to date with the development of SMETS 2 - one of the delays relates to finalising the system to 'remotely pair' smart meters with Consumer Access devices (CADs) which will affect the option to gain access to data via CADs.
Licensing of different roles in energy system (supply, distribution, meter operation, access to DCC etc) Energy suppliers are licensed by Ofgem to supply and bill customers. Energy suppliers must sign the Smart Energy Code and become panel members. In relation to data provision, a general requirment will be placed on suppliers in licence conditions to ensure consumers are provided withy data over the meter interface or internet, free of charge.        

DNOs have a license obligation to maintain "an efficient and economic network".                  

DECC granted the DCC license to Capita Plc.        

To gain access to data businesses must become 'smart meter users' or potentially through designing Consumer Access Devices (CADs) which will be paired remotely to the DCC with householder permission.

Final rules of obtaining data via CADS (see previous
Opportunities to mandate ‘smartness’ in new developments and refurbishment This could be challenging at present due to the uncertainty of whether customers with an early meter installed becoming tied to the supplier who installed the meter, or switching and having a new non-smart meter installed thus creating a 'dummy smart meter'. What other partners think the possibilities in this area could be?
‘Space to experiment’ opportunities to operate outside full regulatory regime (Ofgem, DECC etc) – and what could be done Ofgem recently launched a public consultation on 'non-traditional business models' (NTBMs). They aim to start a public conversation on benefits and risks to consumers of non-traditional business models and how they interact with the regulatory system. Ofgem are keen to ensure regulation does not step in the way of delivering desirable customer outcomes, protects the interests of consumers and allow them to understand the benefits, costs and risks in changing regulation. NTBMs may face challenges at present due to their size or the structure of the energy market but may offer unique opportunities in smart metering. What are NTBM energy companies currently thinking about smart metering?
Privacy (for both individuals and commercial interests) vs public good. Can data be anonymised while still retaining sufficient detail? Data provided by smart meters will be the property of the customer. The DCC have permission to collect the data but not maintain a database. Energy companies must become DCC users to gain access to data. CADS will need to be remotely paired to smart meters via the DCC. Through the SMETS2 specifications it is likely that customers will need to use a four digit pin verify their security during teh process of pairing devices. Data will be provided to energy companies on a monthly basis. There will be an opt-out scheme for customers if they do not wish to grant energy customers daily access to energy companies and if energy suppliers wish to gain half-hourly data specific consent will be needed from customers.                      

DNOs will be able to gain anonymous half-hourly data for regulated purposes, without consent.      

Consumers will be able to purchase Consumer Access Devices (CADS), in addition to the free IHD they are offered, all of which will be able to remotely pair to DCCs with consumer permission.                                            

There is a trade-off between the provision of regular data for the smart grids benefit and the protection of consumers, it is likely that a type of 'cryptographic processor' will be used which encrypts data at the household before sending to the DCC and de-crypts at the DCC.

What the energy companies role will be in granting third parties access to the CAD/ Home Area Network (HAN) data - concerns that it could lead to increased competition as a result of their knowledge - permission to be third parties may go through the DCC instead.

E: Social/cultural

What we know What we could know
Public perception and engagement issues
Individual, community and business engagement and behaviour change opportunities
Support needs of vulnerable households and approaches to local provision SMICoP covers min. standards for support to vulnerable households.

Smart Energy GB/NEA/CA have all researched ways to best communicate with vulnerable groups.

Some, such as Jenny Saunders think the 'vulnerable' definition could be expanded to include those who speak little English.

More detailed information on Bristol households would be useful for tailoring messages and advice. In particular ethnic groups/languages and socio-demographics.
Communication and dissemination routes – audiences and narratives Tailor narratives to groups - examples of messages from other countries sourced.

Segment population using the same as the Fuel Poverty Annual Statistics method - by property details and household composition.

Interest of health and social care sectors and understanding of 'cold homes' link to health It will be possible for CADs to communicate with smart meters and connect to sensors within the home.

Research is being undertaken by Bristol Uni and Council (amongst Toshiba and others) on the SPHERE project - piloted a sensing kit in 100 Bristol homes.

Are people interested in being monitored for this purpose? User satisfaction studies?

Are the NHS interested? Cost/benefit studies?

Potential collaborator contributions