A: Technical- Energy
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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 |
- MSOA level electricity and gas consumption
- A bottom up address level model of heat demand
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- 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
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| Current and future ‘local power generation’ levels and intermittency caused |
- Good estimate of current energy generation capacity within Bristol
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- More information about intermittency of renewable generation
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| Electricity distribution system operational issues and expectations in ‘smarter’ system |
- Map of demand per substation per LSOA
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- Available capacity in distribution network for distributed generation
- More about the effects of distributed generation on the distribution network
- Outcome of SoLa Bristol project
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| Opportunities for demand side response and reduction in the city (power and heat) |
- Technical maximum demand shift at different times of day and year
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| Anticipated uses of smart energy data in future energy system management - what gets smart? |
- There are several potential smart devices that could be adopted
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- Expected levels of uptake of smart devices within the home
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| Inventory of large discretionary loads in the city |
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| 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
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- More about EVs being used as a storage medium
- Future feasibility of storage
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B: Technical - Data and IT
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What we know |
What we could know
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| IT, data handling, storage and analytics requirement for city-scale activity |
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| Data comms and opportunities for data capture within anticipated flows |
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| Smart meter functionality and consumer access device opportunities |
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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)? |
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| Engagement with DNO and GDO to establish real-time data feeds at various network nodes (cf just smart meters) |
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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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C: Commercial
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What we know |
What we could know
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| Value flows in energy system and in smart meter roll-out – scaled to ‘Bristol scale’ |
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| Understanding markets where value is traded (balancing, capacity etc) |
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| Understanding value created by smarter energy response and management of system at city scale (and how that will change over time) |
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| Understanding potential financial value of using smart energy data in other services (e.g. health improvement – thermal safeguarding etc) |
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| Energy supplier smart meter roll-out plans and potential for securing integrated city-wide approach |
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| Potential business models for city-wide approach |
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| Innovation and research activities and funding sources for smart energy data/city development |
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D: Regulatory/policy
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What we know |
What we could know
|
| 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 |
|
|
| 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? |
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| Inventory of large discretionary loads in the city |
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| Storage technology development trends and potential opportunities |
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E: Social/cultural
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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 |
|
|
| 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 |
|
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| Storage technology development trends and potential opportunities |
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