Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGGT0071 | |
| Title | Spatial district heating analysis and impact on gas and power demand | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 10%; Energy Efficiency(Residential and commercial) 10%; Other Power and Storage Technologies(Electricity transmission and distribution) 40%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 40%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 25%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 April 2015 | |
| End Date | 01 April 2016 | |
| Duration | 12 months | |
| Total Grant Value | £136,000 | |
| Industrial Sectors | Energy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (99.998%) |
| Other Investigator | Project Contact , National Grid Gas Transmission (0.001%) Project Contact , Cadent Gas (0.001%) |
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| Web Site | http://www.smarternetworks.org/project/NIA_NGGT0071 |
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| Objectives | To inform scenario development and downstream investment decision processes within National Grid. To provide a platform to engage other interested parties including iDNs, DNO, regulators and Government. Heat Network projection range to be included in the Future Energy Scenario with reference to location. Application in investment decision making processes. | |
| Abstract | Investigate the scale and location of district heating in the UK and consequential impact on power and gas systems. The exercise will produce geographical mapping of heat networks and other relevant information needed to support National Grid’s Future Energy Scenarios - downstream capital planning processes. The model will then be used to assess the theoretical potential (range) for balancing services. To provide a public report with supplemental data tables including Stage 1 - Spatial Modelling- Background to where district heating currently resides on a geographical basis, but also the assumed level of heat / power contribution (or to what extent this offsets demand) as of the starting position at 2014. - Reference the initiatives underway to promote or encourage heat networks (locations of planned schemes) - link into existing stakeholders to align outputs i.e. Greater London Authority etc. - Identify the upper limits of potential heat network growth set to existing heat density levels and to assumed levels achieved through insulation potential (i.e. if we assume housing stocks are insulated to the maximum extent, aligned to National Grid scenarios assumptions will the heat density reduction impact on the economic growth potential)- The model should consider how the impact of discount rates on the viability of the investment in heat networks e. g. public sector, regulated utility and competitive market based- The modelling should consider the range of scenarios aligned to National Grid reference scenarios and relevant system wide inter-relationships i.e. retail prices, carbon intensity of power, location of infrastructure etc. - Identify sources of heat supply within the context of the scenarios i.e. CHP with CCS, Marine based heat pumps, waste energy (comparative use versus bioSNG). - Make a judgement on how the level of heat networks could grow with new housing / commercial building developments based on potential location of new housing developments - and most effective use of low carbon heat (urban versus new build cost to develop). - Validation and detailed review of a selected number of areas to ensure wider economic modelling assumptions remain robust. - Reports to include geospatial mapping as an output highlighting areas of high potential (areas that make absolute sense to develop heat networks economically in majority of scenarios), areas that have a low potential (sub-economic developments / low potential for low carbon networks), areas that have moderate potential (articulating what would be required to promote development). Stage 2 - Transient Modelling - Undertake annual time based modelling in order to understand the impact of the penetration of heat networks in the wider UK energy context, particularly on the electricity transmission network through provision of storage and network services. - Assess hourly scenarios for power supply exceeding demand and potential for large scale DSR (time shifting) to identify the viability of balancing services from heat to power networks. Review potential benefits with other stakeholders - DNOs, to identify follow up recommendations Report on viability of balancing services to NGET and future innovation potential studiesNote : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 14/12/18 | |
