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CHAPTER 4: CYCLOOXYGENASE-2 EXPRESSION IN BLADDER CANCER AND PATIENT

5.6 SUPPLEMENTARY TABLES 5.1 - 5.3

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References

579

Aditya, L. et al. (2017) ‘A review on insulation materials for energy conservation in buildings’, Renewable and 580

26 Sustainable Energy Reviews, pp. 1352–1365. doi: 10.1016/j.rser.2017.02.034.

581

Ahmed, K. et al. (2017) ‘Occupancy schedules for energy simulation in new prEN16798-1 and ISO/FDIS 582 17772-1 standard’, Sustainable Cities and Societies, 35, pp. 134–144.

583

Ahn, K. U. et al. (2017) ‘Predictability of occupant presence and performance gap in building energy 584

simulation’, Applied Energy, 208, pp. 1639–1652. doi: 10.1016/j.apenergy.2017.04.083.

585

ASHRAE (2004) ANSI/ASHRAE 55-2004: Thermal Environmental Conditions for Human Occupancy, 586 ASHRAE. doi: 10.1007/s11926-011-0203-9.

587

Baborska-naro, M. (2017) ‘Overheating in retrofitted flats : occupant practices , learning and interventions’, 45, 588

pp. 40–59.

589

BaborskaNarozny, M. and Grudzinska, M. (2017) ‘Overheating in a UK Highrise Retrofit Apartment Block -590 Ranking of Measures Available to Case Study Occupants Based on Modelling’, in Energy Procedia, pp. 568–

591 577. doi: 10.1016/j.egypro.2017.03.219.

592

Ben, H. and Steemers, K. (2017) ‘Tailoring domestic retrofit by incorporating occupant behaviour’, in Energy 593

Procedia, pp. 427–432. doi: 10.1016/j.egypro.2017.07.421.

594

Building Regulation 2010 (2018) ‘Conservation of Fuel and Power- L1B, Incorporating 2010, 2011, 2013, 2016 595 and 2018 amendments’. HM Government.

596

Buttitta, G. et al. (2019) ‘Development of occupancy-integrated archetypes: Use of data mining clustering 597

techniques to embed occupant behaviour profiles in archetypes’, Energy and Buildings, 198(1), pp. 84–99.

598

CCC (2017) Progress in preparing for climate change, 2017 Report to Parliament. Available at:

599 https://www.theccc.org.uk/wp-content/uploads/2017/06/2017-Report-to-Parliament-Progress-in-preparing-for-600 climate-change.pdf.

601

CCC (2018a) Reducing UK emissions- 2018 Progress Report to Parliment.

602

CCC (2018b) ‘Reducing UK emissions - 2018 Progress Report to Parliament - Committee on Climate Change’, 603 Committee on Climate Change, (June). doi: 10.1111/j.1530-0277.1986.tb05619.x.

604

CCC (2019) Net Zero: The UK’s contribution to stopping global warming.

605

Champ, H. (2019) ‘Nearly a fifth of homes fail Decent Homes Standard’, Housing Today, 19 July. Available at:

606 https://www.housingtoday.co.uk/news/nearly-a-fifth-of-homes-fail-decent-homes-standard/5100686.article.

607

CIBSE (2017) ‘TM59: Design methodology for the assessment of overheating risk in homes’. London: The 608

Chartered Institution of Building Services Engineers.

609

CIBSE (2018) Building Regulations Part L & F Briefing. Available at:

610 https://www.cibse.org/getmedia/4a601f5c-a866-41a2-8cf7-1bab17f4f57e/Position-Paper-on-Building-611 Regulations-Part-L-F.pdf.aspx.

612

DCLG (2011) Investigation into Overheating in Homes. London. Available at:

613 https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/7604/2185850.

614 pdf.

615

DCLG (2017) ‘English Housing Survey 2017’, Department for Communities and Local Government. doi:

616 10.1017/CBO9781107415324.004.

617

DECC (2014) ‘SAP 2012- The Government’s Standard Assessment Procedure for Energy Rating of Dwellings’.

618 Watford: BRE.

619

Department for Communities and Local Government (2018) ‘Approved Document L1B Conservation of Fuel 620 and Power in Existing Dwellings, HMSO’. doi: 10.1017/S0010417500001705.

621

Department for comunities and local government (2006) ‘A Decent Home: Definition and guidance for 622

27 implementation’, (June), p. 35. doi: 10.1016/j.ifacol.2016.07.369.

623

Department for Environment Food & Rural Affairs (DEFRA) (2018) The National Adaptation Programme and 624 the Third Strategy for Climate Adaptation Reporting.

625

Elsharkawy, H. and Rutherford, P. (2015) ‘Retrofitting social housing in the UK: Home energy use and 626 performance in a pre-Community Energy Saving Programme (CESP)’, Energy and Buildings, 88. doi:

627

10.1016/j.enbuild.2014.11.045.

628

Elsharkawy, H. and Rutherford, P. (2018) ‘Energy-efficient retrofit of social housing in the UK: Lessons learned 629 from a Community Energy Saving Programme (CESP) in Nottingham’, Energy and Buildings, 172. doi:

630 10.1016/j.enbuild.2018.04.067.

631

Fosas, D. et al. (2018) ‘Mitigation versus adaptation: Does insulating dwellings increase overheating risk?’, 632 Building and Environment, 143, pp. 740–759. doi: 10.1016/j.buildenv.2018.07.033.

633

Giesekam, J., Tingley, D. D. and Cotton, I. (2018) ‘Aligning carbon targets for construction with (inter)national 634 climate change mitigation commitments’, Energy and Buildings, 165, pp. 106–117. doi:

635

10.1016/j.enbuild.2018.01.023.

636

Gov.UK (2019) ‘UK becomes first major economy to pass net zero emissions law’, 27 June. Available at:

637 https://www.gov.uk/government/news/uk-becomes-first-major-economy-to-pass-net-zero-emissions-law.

638

Greater London Authority. (2016) The London Plan the Spatial Development Strategy for London Consolidated 639

with Alterations Since 2011. London.

640

Greater London Authority. (2018) Fuel Poverty Action Plan for London. London.

641

Greater London Authority (2015) Housing in London 2015. London. Available at:

642 https://www.london.gov.uk/sites/default/files/housing_in_london_2015.pdf.

643

Gupta, R. and Gregg, M. (2012a) ‘Using UK climate change projections to adapt existing English homes for a 644 warming climate’, Building and Environment. doi: 10.1016/j.buildenv.2012.01.014.

645

Gupta, R. and Gregg, M. (2012b) ‘Using UK climate change projections to adapt existing English homes for a 646 warming climate’, Building and Environment. Elsevier Ltd, 55, pp. 20–42. doi: 10.1016/j.buildenv.2012.01.014.

647

Hajat, S., Kovats, R. S. and Lachowycz, K. (2007) ‘Heat-related and cold-related deaths in England and Wales:

648 Who is at risk?’, Occupational and Environmental Medicine, 64(2), pp. 93–100. doi: 10.1136/oem.2006.029017.

649

van Hooff, T. et al. (2015) ‘On the predicted effectiveness of climate adaptation measures for residential 650 buildings (Reprinted from vol 82, pg 300-316, 2014)’, Building and Environment, 83, pp. 142–158. doi:

651

10.1016/j.buildenv.2014.10.006.

652

IPCC (2014a) 5th Assessment Report on Climate Change 2014: Mitigation of Climate Change.

653 Intergovernmental Panel on Climate Change.

654

IPCC (2014b) Climate Change 2014: Synthesis Report. Geneva.

655

Jie, P. et al. (2018) ‘Optimizing the insulation thickness of walls and roofs of existing buildings based on 656 primary energy consumption , global cost and pollutant emissions’, Energy. Elsevier Ltd, 159, pp. 1132–1147.

657 doi: 10.1016/j.energy.2018.06.179.

658

Lomas, K. J. and Porritt, S. M. (2017) ‘Overheating in buildings: lessons from research’, Building Research and 659

Information. Taylor & Francis, 45(1–2), pp. 1–18. doi: 10.1080/09613218.2017.1256136.

660

Lowe, J. A. et al. (2019) UKCP18 Science Overview Report, Met Office. Available at:

661 https://www.metoffice.gov.uk/pub/data/weather/uk/ukcp18/science-reports/UKCP18-Overview-report.pdf.

662

Mavrogianni, A. et al. (2014) ‘The impact of occupancy patterns, occupant-controlled ventilation and shading on 663

indoor overheating risk in domestic environments’, Building and Environment, 78, pp. 183–198. doi:

664 10.1016/j.buildenv.2014.04.008.

665

28 Mavrogianni, A. et al. (2015) ‘Urban social housing resilience to excess summer heat’, 43(3), pp. 316–333.

666

Medhurst, J., Turnham, C. and Partners, J. R. and (2016) Damp Survey for London Borough of Newham.

667 London.

668

MHCLG (2018) Dwelling Stock Estimates: 2017, England.

669

MHCLG (2019) The Future Homes Standard. Available at:

670

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/835536/Future 671 _Homes_Standard_Consultation_Oct_2019.pdf.

672

Mulville, M. and Stravoravdis, S. (2016a) ‘The impact of regulations on overheating risk in dwellings’, Building 673

Research and Information. doi: 10.1080/09613218.2016.1153355.

674

Mulville, M. and Stravoravdis, S. (2016b) ‘The impact of regulations on overheating risk in dwellings’, Building 675 Research and Information, 44(5–6), pp. 520–534. doi: 10.1080/09613218.2016.1153355.

676

Murtagh, N., Gatersleben, B. and Fife-Schaw, C. (2019) ‘Occupants’ motivation to protect residential building 677 stock from climate-related overheating: A study in southern England’, Journal of Cleaner Production. doi:

678

10.1016/j.jclepro.2019.04.080.

679

Newham Council (2007) Typical floor plans of Newham Homes.

680

Ozarisoy, B. and Elsharkawy, H. (2019) ‘Assessing overheating risk and thermal comfort in state-of-the-art 681 prototype houses that combat exacerbated climate change in UK’, Energy and Buildings, 187, pp. 201–217. doi:

682

10.1016/j.enbuild.2019.01.030.

683

Pathan, A. et al. (2017) ‘Monitoring summer indoor overheating in the London housing stock’, Energy and 684

Buildings, 141, pp. 361–378. doi: 10.1016/j.enbuild.2017.02.049.

685

Porritt, S.M. et al. (2012) ‘Ranking of interventions to reduce dwelling overheating during heat waves’, Energy 686

and Buildings. Elsevier, 55, pp. 16–27. doi: 10.1016/J.ENBUILD.2012.01.043.

687

Porritt, S. M. et al. (2012) ‘Ranking of interventions to reduce dwelling overheating during heat waves’, in 688 Energy and Buildings, pp. 16–27. doi: 10.1016/j.enbuild.2012.01.043.

689

Porritt, S. M. et al. (2013) ‘Heat wave adaptations for UK dwellings and development of a retrofit toolkit’, 690

International Journal of Disaster Resilience in the Built Environment, 4(3), pp. 269–286. doi: 10.1108/IJDRBE-691 08-2012-0026.

692

Public Health England (2018) Heatwave mortality monitoring - Summer 2018.

693

Shen, P., Braham, W. and Yunkyu, Y. (2019) ‘The feasibility and importance of considering climate change 694

impacts inbuilding retrofit analysis’, Applied Energy, 233–234(1), pp. 254–270.

695

Steemers, K. and Ben, H. (2014) ‘Energy retrofit and occupant behaviour in protected housing: A case study of 696 the Brunswick Centre in London’, Energy and Buildings, 80, pp. 120–130.

697

Taylor, J. et al. (2015) ‘Mapping the effects of urban heat island, housing, and age on excess heat-related 698

mortality in London’, Urban Climate. Elsevier B.V., 14, pp. 517–528. doi: 10.1016/j.uclim.2015.08.001.

699

Tink, V. et al. (2018) ‘Measuring and mitigating overheating risk in solid wall dwellings retro fi tted with 700 internal wall insulation’, Building and Environment. Elsevier, 141(February), pp. 247–261. doi:

701 10.1016/j.buildenv.2018.05.062.

702

University of Exeter (2012) Future weather files, Centre for Energy and the Environment.

703

University of Southampton (2016) Occupancy Patterns Scoping Review Project. Southampton.

704

Yan, D. et al. (2017) ‘IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings’, Energy 705

and Buildings, 156, pp. 258–270.

706

29 Yun, G. Y. and Steemers, K. (2008) ‘Time-dependent occupant behaviour models of window control in

707

summer’, Building and Environment, 43(9), pp. 1471–1482. doi: 10.1016/j.buildenv.2007.08.001.

708

Zahiri, S. and Elsharkawy, H. (2017) ‘Building Performance Evaluation for the Retrofit of Council Housing in 709 the UK: A case study of a tower block in London’, PLEA 2017, Passive Low Energy Architecture- Designto 710

Thrive. Edinburgh: NCEUB 2017, pp. 941–947.

711

Zahiri, S. and Elsharkawy, H. (2018) ‘Towards energy-efficient retrofit of council housing in London: Assessing 712 the impact of occupancy and energy-use patterns on building performance’, Energy and Buildings, 174, pp. 672–

713 681. doi: 10.1016/j.enbuild.2018.07.010.

714

Zahiri, S., Elsharkawy, H. and Shi, W. (2018) ‘The Importance of Occupancy and Energy Use Patterns on 715

Predicting Building Energy Performance: A Case Study of a Residential Building in London’, BSO2018 papers, 716 (September), pp. 11–12.

717 718

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Table 1: Energy-use and occupancy patterns applied at different stages of the simulation analysis Room type Flat A (single elderly) Flat B (family of 2 adults and

3 children) TM59-SAP2012

Winter Summer Winter Summer Winter Summer

Bedroom Heating SAP2012¹ N/A SAP2012¹ N/A SAP2012¹ N/A

Occupancy 10pm to 8am 7pm to 7am TM59²

Living room Heating SAP2012¹ N/A SAP2012¹ N/A SAP2012¹ N/A

Occupancy 8am to 11pm 8am to 11pm TM59²

¹SAP2012 heating pattern-

Weekday: 0700-0900 and 1600-2300/ Weekend: 0700-2300

²TM59 occupancy pattern-

Bedroom: 2 people from 11pm to 8am 70% gain, 2people at full gain from 8am to 9am and from 10pm to11 pm, 1 person at full gain from 9 am to 10 pm

Living room: 2 people at 75% gain from 9am to 10 pm

Table 2: Building fabric modelling input data of the case study (existing and retrofitted)

BUILDING COMPONENTS

MATERIALS EXISTING RETROFITTED

EXTERNAL WALL U-VALUE

External over-cladding &

rendering, concrete panels, internal thermal insulation &

plaster finish

0.9 W/m²K 0.7

W/m²K 0.5

W/m²K 0.3 W/m²K

FLOOR U-VALUE Concrete slabs & rendering 2.7 W/m²K 2.7 W/m²K ROOF U-VALUE Concrete slab & rendering,

bitumen 2.3 W/m²K (Mavrogianni et al.,

2015) 0.28 W/m²K

WINDOWS U-VALUE Double glazing with UPVC

panels 2 W/m² (Mavrogianni et al.,

2015) 2 W/m²K (Mavrogianni et al.,

2015) AIR INFILTRATION - 10 m3/m2h at 50 Pa (Mulville

and Stravoravdis, 2016) 5.0 m3/m2h at 50 Pa (Building Regulation 2010, 2018)

Table 3: Annual operative temperature in a typical middle floor using U-values of 0.3, 0.5, 0.7 and 0.9 W/m2K in three climate change scenarios

Climate projection 2030 2050 2080

U-Value W/m2K 0.3 0.5 0.7 0.9 0.3 0.5 0.7 0.9 0.3 0.5 0.7 0.9 Annual

operative temperature

°C

Min 18.60 18.21 17.90 15.54 18.79 18.38 18.03 15.62 18.99 18.62 18.32 16.08 Mean 22.10 21.71 21.39 18.98 22.67 22.30 22.00 19.51 23.96 23.22 22.93 20.57 Max 27.90 27.63 27.40 25.13 29.04 28.83 28.65 26.33 30.65 30.46 30.31 28.19

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Table 4: Hours above overheating risk temperature in bedroom and living rooms of a typical south-facing flat with the U-value of 0.5 W/m²K in the future climate change scenarios

ZONE HOURS EXCEEDING OVERHEATING RISK TEMPERATURE

(TM 59 CRITERIA: 26°C BEDROOM AND 28°C LIVING ROOM)

2030 2050 2080

OCCUPANCY

SCHEDULE TM59-SAP Flat A Flat B

TM59-SAP Flat A Flat B TM59-SAP Flat A Flat B LIVING

ROOM 521 468 449 748 492 719 1200 967 1161

BEDROOM 2207 394 952 3051 717 1178 3495 913 1492

Table 5: Solar heat gain in south-facing living room and bedroom of a typical middle floor

Climate

projection 2030 2050 2080

Room Bedroom Living room Bedroom Living room Bedroom Living room Mean Annual

solar gain in

kWh 24.31 16.54 25.84 16.65 25.89 16.89

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Figure 1: Typical floor plan of the case study building (Newham Council, 2007)

Figure 2 (a, b, c, d): Indoor To and heating energy use in a typical middle floor under the climate change scenarios (2030, 2050, 2080), using TM59-SAP patterns and U-values of a. 0.9 W/m²K , b. 0.7 W/m²K , c. 0.5 W/m²K and d. 0.3W/m²K.

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(a)

(b)

Figure 3: Percentage of difference between the reduction of discomfort hours (a) and the reduction of energy use (b) in the base case (U-value 0.9 W/m²K for external walls) compared to the upgraded thermal performance of the building envelope (U-values of 0.3, 0.5 and 0.7 W/m²K) in a typical middle floor.

Figure 4 (a, b, c): Indoor To in the bedroom of the typical south-facing flat with the U-value of 0.5 W/m²K and three occupancy profiles (Flat A, Flat B, and TM 59) under the climate change scenarios (a) 2030, (b) 2050, and (c) 2080. Figure 4 (d, e, f): Indoor To in the living room of the typical south-facing flat with the U-value of 0.5

34%

36%

40%

32%

35%

38%

28%

30%

33%

U - V A L U E 0 . 7 U - V A L U E 0 . 5 U - V A L U E 0 . 3

P e r c e n t a g e r e d u c t i o n i n o v e r h e a t i n g h o u r s ( d i s c o m f o r t h o u r s )

2030 2050 2080

65%

73%

81%

60%

71%

87%

70%

77%

90%

U - V A L U E 0 . 7 U - V A L U E 0 . 5 U - V A L U E 0 . 3

P e r c e n t a g e r e d u c t i o n o f h e a t i n g e n e r g y u s e

2030 2050 2080

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W/m²K and three occupancy profiles (Flat A, Flat B, and TM 59) under the climate change scenarios (a) 2030, (b) 2050, and (c) 2080.

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The significance of occupancy profiles in determining post retrofit indoor