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The case of Nottingham (UK)
Exploring integrated energy action plans for a sustainable transition in the INSMART project The case of Nottingham (UK) Rocco De Miglio Alessandro Chiodi This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no
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City ESM: Nottingham - Population: - Households: - Area: 75km2 - 20 zones were identified to represent the city boundary The T2W is the boundary typically used by the city’s transport planners when evaluating transport measures.
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City ESM: Nottingham Space granularity: Zone/District level (20 + 6) Time granularity: 6 intervals within the year, EOH: 2030 Key drivers and assumptions Base Year of the analysis: building typologies in the base year Demand: additional (planned) housing included in the model (driving energy service demands) Centralised supply: (exogenous) controlled by quantities/prices Decentralised supply: potentials (solar) and elements of scenarios (subsidies, tax, programmes) - Residential: NO space cooling! Retrofits based on cost-effectiveness - Transport: 157 (000vehicles) in the base year. More than 1 per dwelling! - Non-Residential: “non-endogenous” representation of the energy flows
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City ESM: Nottingham
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City ESM: Nottingham
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City ESM: Nottingham For each existing building typology and zone the heating demand, associated energy use, and retrofit options for demand reduction (R1: solid wall insulation, R2: cavity wall insulation, R3: roof insulation and R4: draught-proofing) are estimated and represented in the model. Endogenously determined (different level of subsidies)!
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Nottingham scenarios Final scenario’s for multi criteria decision analysis (explain) Local Leadership Low Cost = low la engagement, no subsidies for energy retrofits, limited expansion of transport infrastructure Local Leadership Engaged = Public sector focused with dh expansion, and public transport upgrades, and subsidies for residential retrofits Local Leadership Full = Includes all planned transport and energy projects Local Leadership Growth = High level of local engagement with community power, plant scale PV, and low carbon housing Green Growth West = Includes possible extension of NET to Kimberley Green Growth East = Includes possible extension of NET to Gedling Green Growth All = Includes all NET extensions, HS2, and anaerobic digestion Local Leadership Growth is the preferred scenario which Nottingham is taking forward, it is based on the the highest level of local engagement, with forced inclusion of those key results referred to in the Energy System section. Other results in the Green Growth East & West may be included as they include options for growth of the Nottingham Express Transit to east and west of the City.
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Nottingham scenarios Final scenario’s for multi criteria decision analysis (explain) Local Leadership Low Cost = low la engagement, no subsidies for energy retrofits, limited expansion of transport infrastructure Local Leadership Engaged = Public sector focused with dh expansion, and public transport upgrades, and subsidies for residential retrofits Local Leadership Full = Includes all planned transport and energy projects Local Leadership Growth = High level of local engagement with community power, plant scale PV, and low carbon housing Green Growth West = Includes possible extension of NET to Kimberley Green Growth East = Includes possible extension of NET to Gedling Green Growth All = Includes all NET extensions, HS2, and anaerobic digestion Local Leadership Growth is the preferred scenario which Nottingham is taking forward, it is based on the highest level of local engagement, with forced inclusion of those key results referred to in the Energy System section. Other results in the Green Growth East & West may be included as they include options for growth of the Nottingham Express Transit to east and west of the City.
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Lesson learnt and key innovations
National datasets misleading Private rented housing needs investment Confirmation of Nottingham’s strategic energy direction Data to enable more effective targeting of projects MCDA effective, once understood Nottingham City Council working with their UK Core Cities partners will be part of a new project funded by the Department of Business, Energy and Industrial Strategy. The Scatter Project produce and deliver an evidence-based climate change target for 2050, with agreed trajectory and milestones, using a global first mover implementation of newly developed international tools and standards. The INSMART methodology will be considered for this project. Some activity already, with all NCH area based schemes making offers to private housing which has lead to over 2000 private owned EWI. But need more and insmart has proven that. Have commited to write a domestic energy efficiency and fuel poverty strategy under the NCC health and wellbeing strategy because of clear links between warm and energy efficient house and health. National datasets present a misleading local picture, the datasets presented from the building surveys in Work Package 1, represent a view of the previous energy efficiency work that Nottingham has carried out LEFT The map at the top is the DECC data energy use data by ward, which we have all used in the past RIGHT The map below is the modelled energy use (baseline) from the surveys, and academic review. 30,000 private rented sector in housing which is 23% present a significant opportunity for relatively low cost, simple energy measures and savings. The issues being that there is a funding gap, and nationally there is no enforcement towards this sector. Opportunity does present itself from 2018 when new legislation may force sector into lowering the demand (EPC), ECO, local selective licensing scheme Non-domestic energy use was modelled, but not to the same level as the domestic sector. National data indicates 39% of carbon emissions comes from this sector in Nottingham, InSMART model suggests 35% from this sector. Further study using InSMART methodogly is under consideration Our experience of the Multi Criteria Decision Analysis is that whilst at first the concept is somewhat difficult to understand for non-academics, once understood it is a good tool for decision making where there are many variables, and inputs. This is a method which NCC may pursue in the future for large decision making processes as we move forward to our new sustainability strategies post 2020 Identifying our stakeholders was key to building on the first draft set of scenarios from Work Package 5. Views and ideas have assisted the city greatly in developing the mid term implementation plan. An additional benefit has been this has opened up new networks and areas for discussion with our stakeholders for future partnerships, and further ideas for new EU funding streams Having a understanding of the types of properties, and their construction types in Nottingham has greatly assisted the city in our current and forward planning for energy investments. Being able to identify a properties simulated energy use is of great importance to us.
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Thank you! Rocco De Miglio rocco.demiglio@e4sma.com Alessandro Chiodi
Via Livorno 60 – Environment Park Torino, Italy e4sma.com Rocco De Miglio Alessandro Chiodi Twitter: @E4SMAsrl LinkedIn: E4SMA
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