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HomeData and IT notes

Initial proposed structure

Overall: "understanding data flows, IT challenges, analytical opportunities and applications"

a: city scale requirements [JT]

b: data comms and capture opportunities [JT]

c: smart meter functionality and CAD opportunities [NB]

d: using smart meter data in energy management [NB]

e: integration, and what's in the IoT pipeline? [NB]

f: DNO and GDO engagement [JT]

Further thoughts

Themes for applications

  • demand management (reduction, shifting)
  • supply value management (embedded in the distribution network anywhere between 132kV and 240v)
  • scale: from building to city level

Applications and associated data opportunities/requirements

Building energy management: reducing demand to save money/carbon, managing demand to increase comfort, shifting demand to save money

  • CADS; visualising home energy demand
  • Smart meters
  • TOU tariffs
  • IoT and home automation; using data from CADs/submeters to control devices?
  • ... submetering and non-intrusive load monitoring?

DATA:

  • HH from smart meters via DCC
  • 10s from smart meters via CAD
  •  ??s via submeters
  • IoT: CADs, submeters, other sensors
  • tariff signals from suppliers -> meters?


Network management: co-ordinating demand reduction/shifting across buildings to smooth peaks

  • DNO substation monitoring (primary, secondary...)
  • DNO automated DSR in buildings
  • DNO community scale interventions (LiM...)
  • National Grid DSR in buildings; added value of concentrating at GSP?

DATA:

  • 10s from substation monitors (what cost per substation?)
  • HH from substation meters (at what voltages are these routine?)
  • balancing signals [via analysis] DNO -> buildings, and/or National Grid -> buildings

Supply: maximising the value of city-embedded power generation

  • Avonmouth wind
  • Building PV; housing, commercial, public

DATA:

  • sub HH monitoring from individual installations?
  • HH metering from individual installations?

City heat and power planning -> local energy system opportunities (DH, CHP, PV...)

  • City-wide measurement and forecasting of heat and power demand over time and space [appropriate granularities]
  • Identification of new local energy system opportunities
  • Management of the evolution and growth of existing local energy systems

DATA:

  • smart meters (gas and electricity)
  • substation monitoring electricity (gridkey)
  • substation monitoring gas (?)
  • embedded generation metering (Avonmouth wind, building PV)
  • input/output monitoring of CHP/DH
  • weather measurement and forecasting for local supply and demand prediction 

Summary tables

T1: Application scales for datasets
Data Resolution Source Application scale(s) Data volumes
Smart gas/elec meter data 30 mins DCC (Billing), Building, City  ?
Smart gas/elec meter data 10s CAD Building  ?
Submeters ? BEMS Building ?
NILM (non-intrusive load monitoring) 1s CAD/BEMS or similar Building ?
Tariff signals ? Supplier Building ?
DNO substation monitoring 10s DNO Network, City, Local systems ?
DNO substation metering 30 mins DNO Network, City, Local systems ?
GDO substation monitoring ? GDO ?, City, Local systems ?
GDO substation metering ? GDO ?, City, Local systems ?
Building DSR signals [from analysis] ? National Grid City, Country ?
Building DSR signals [from analysis] ? DNO City ?
Local power generation ? Plant managers City, Local systems ?
Weather measurement and forecasting ? Met office, bespoke City, Local systems ?
a b c d e
T2: Applications at different scales
Scale Application Components Data
Building Demand management CADs, BEMs 30m SM, 1s submeter, 1s NILM, Tariff signals
Demand shifting CADs, BEMs, DSR Natgrid/DNO signals
Network Capacity planning DNO tools 30m SM, 30m 1
Load shifting New analytics Inputs:?, Outputs: DSR signals to buildings
Supply Power matching ? Customer SM/CAD feeds, plant output timeseries
City TO BE ADDED

To do:

Write a section covering what we know, what we need to know, how we can find it out, about:

  • Access conditions for different datasets
  • Smart meter rollout plans
  • CADs, BEMs, NILM, and submetering
  • What's coming next, including IoT and automated DSR in devices
  • DNO metering and monitoring
  • GDO metering and monitoring
  • Local power generation metering and monitoring
  • Weather data availability and uses
  • Analytics for centralised coordination of automated DSR
  • ...?
This page was last modified on 27 July 2015, at 14:19.
 
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