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* More about EVs being used as a storage medium
 
* More about EVs being used as a storage medium
 
* Future feasibility of storage
 
* Future feasibility of storage
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== B: Technical - Data and IT ==
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{| class="wikitable"
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|-
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! !! What we know !! What we could know
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| Power, heat and gas flows in city and known patterns of change ||
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||
 +
|-
 +
| Current and future ‘local power generation’ levels and intermittency caused ||
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||
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|-
 +
| Electricity distribution system operational issues and expectations in ‘smarter’ system||
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||
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|-
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| Opportunities for demand side response and reduction in the city (power and heat) ||
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||
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|-
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| Anticipated uses of smart energy data in future energy system management  - what gets smart? ||
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||
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|-
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| Inventory of large discretionary loads in the city||  || 
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|-
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| Storage technology development trends and potential opportunities ||
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||
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|}
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== C: Commercial ==
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 +
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{| class="wikitable"
 +
|-
 +
! !! 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 ||
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||
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|-
 +
| Smart meter functionality and consumer access device opportunities ||
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||
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|-
 +
| Using smart meter and energy data to improve energy management – tools and apps ||
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||
 +
|-
 +
| 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)|| 
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|| 
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|-
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| Use of local data to minimise search costs to target assistance on those who need it most. ||
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||
 +
|}
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== D: Regulatory/policy ==
 +
 +
 +
{| class="wikitable"
 +
|-
 +
! !! What we know !! What we could know
 +
|-
 +
| Power, heat and gas flows in city and known patterns of change ||
 +
||
 +
|-
 +
| Current and future ‘local power generation’ levels and intermittency caused ||
 +
||
 +
|-
 +
| Electricity distribution system operational issues and expectations in ‘smarter’ system||
 +
||
 +
|-
 +
| Opportunities for demand side response and reduction in the city (power and heat) ||
 +
||
 +
|-
 +
| Anticipated uses of smart energy data in future energy system management  - what gets smart? ||
 +
||
 +
|-
 +
| Inventory of large discretionary loads in the city||  || 
 +
|-
 +
| Storage technology development trends and potential opportunities ||
 +
||
 +
|}
 +
 +
== E: Social/cultural ==
 +
 +
 +
{| class="wikitable"
 +
|-
 +
! !! What we know !! What we could know
 +
|-
 +
| Power, heat and gas flows in city and known patterns of change ||
 +
||
 +
|-
 +
| Current and future ‘local power generation’ levels and intermittency caused ||
 +
||
 +
|-
 +
| Electricity distribution system operational issues and expectations in ‘smarter’ system||
 +
||
 +
|-
 +
| Opportunities for demand side response and reduction in the city (power and heat) ||
 +
||
 +
|-
 +
| Anticipated uses of smart energy data in future energy system management  - what gets smart? ||
 +
||
 +
|-
 +
| Inventory of large discretionary loads in the city||  || 
 +
|-
 +
| Storage technology development trends and potential opportunities ||
 +
||
 
|}
 
|}

Revision as of 13:11, 28 July 2015

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

B: Technical - Data and IT

What we know What we could know
Power, heat and gas flows in city and known patterns of change
Current and future ‘local power generation’ levels and intermittency caused
Electricity distribution system operational issues and expectations in ‘smarter’ system
Opportunities for demand side response and reduction in the city (power and heat)
Anticipated uses of smart energy data in future energy system management - what gets smart?
Inventory of large discretionary loads in the city
Storage technology development trends and potential opportunities

C: Commercial

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.

D: Regulatory/policy

What we know What we could know
Power, heat and gas flows in city and known patterns of change
Current and future ‘local power generation’ levels and intermittency caused
Electricity distribution system operational issues and expectations in ‘smarter’ system
Opportunities for demand side response and reduction in the city (power and heat)
Anticipated uses of smart energy data in future energy system management - what gets smart?
Inventory of large discretionary loads in the city
Storage technology development trends and potential opportunities

E: Social/cultural

What we know What we could know
Power, heat and gas flows in city and known patterns of change
Current and future ‘local power generation’ levels and intermittency caused
Electricity distribution system operational issues and expectations in ‘smarter’ system
Opportunities for demand side response and reduction in the city (power and heat)
Anticipated uses of smart energy data in future energy system management - what gets smart?
Inventory of large discretionary loads in the city
Storage technology development trends and potential opportunities
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