1 / 22

WP4 Building Stock - update

Join us at the URGENCHE First Project Conference in Suzhou, China from 26-28th September 2012. Learn about the latest updates in building stock and urban planning. Get insights on land use, energy consumption, and indoor environmental quality. Discover how WP4 integrates with city activities. Don't miss this important conference!

pgarrido
Download Presentation

WP4 Building Stock - update

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. URGENCHE First Project Conference, Suzhou, China, 26-28th September 2012 WP4 Building Stock - update Marjo Niittynen, THL

  2. What does WP4 do? • It helps cities to collect information about and estimate • Land use • Building stock • Energy consumption due to heating/cooling • Indoor environmental quality • Guidance on what info to collect • Guidance on how to estimate if data not available. • The spatial precision can be anything (from city level to building or inhabitant level), but the more precise, the better.

  3. How WP4 work is being integrated with city activities?

  4. Conceptual model of URGENCHE (draft) Industry

  5. Outline • Report on indoor environment quality (IEQ) for health impact assessment and building related well-being output requirements • GIS-based methodologies in describing building stock • How to model energy consumption of buildings? • Question of land use • How to model small scale wood burning based on inhabitants by housing type? • How to model impacts of district cooling / heating in an old / new city?

  6. 1. Indoor environment quality (IEQ) • A dynamic database on IEQ has been created in Opasnet • Lists established and possible IEQs, new ones can be added flexibly • An easy checklist, but also much more: • Will include numerical dose-response data or on-line links to it  rapid access to numerical data when needed + possibility to use that directly as input in health impact calculations

  7. IEQ “dynamic database”

  8. IEQs included in Opasnet table currently • Air exchange, CO2 • Thermal conditions • Wood smoke • Tobacco smoke • Dampness/mold • PM • Noise • Proximity to traffic • Relative humidity • Radon • VOCs • Other: reduced space, overcrowding, floor level, access to garden etc. - WP6 has produced D-R estimates for these and various well-being parameters

  9. IEQ: Current situation • CERTH plans to estimate PM exposure using INTERA platform. Focuses on PM emissions derived from heating of buildings (wood burning, oil burning) • Some data on IEQ has been received from Kuopio but not from other cities (questionnaire sent in May 2012)

  10. Some IEQ data from Kuopio • About 50,000 dwellings in the city • About 26,500 inhabitants live in noise areas • About 110-140 suspected health problems related to housing in Kuopio yearly • Dampness/mold problems make up the most of them (about 70). • Thermal conditions, tobacco smoke, noise, air exchange problems and untidiness make up the rest • Problems are found in all building types (apartment, row and detached houses), both in old and new, owned and rented dwellings  seem to affect different SES groups quite equally? • Responses such as mental health or children removed from homes have apparently not been studied in context of housing-related health problems in Kuopio. Source: Kallunki, 2011, a presentation

  11. Conclusions on IEQ • Suggestion: the main IEQ problem(s) in each city should be identified – input to the policy model • Population exposure to PM will be modeled in Kuopio and Thessaloniki

  12. 2. GIS-based methodologies in describing building stock - Coordinate-based data

  13. 3. How to model energy consumption of buildings? • Energy consumption = floor area * overall heat transfer unit • Floor area comes from city statistics and plans for the future • Heat transfer units should come from country-specific data or modelling. • E.g. CLAIH assessment tools for Finland • (CLAIH = Climate change, air quality and housing – future challenges to public health) • Needs a lot of data: height of the building, number of floors, area of windows, air exchange rate, air leakage factor, U-factors for roof, walls, windows, in- and outside temperatures etc.

  14. 4. Land use • Land use in the URGENCHE cities should be evaluated, main categories: • built area • green area • asphalt/paved area • other land area • water area • How to do this?

  15. Google map, random areas inside the city + grid paper + summer worker

  16. Discussion points for further work • How to model small scale wood burning based on inhabitants by housing type? • Can we get better than scaling by inhabitants? • Look only at inhabitants in single family houses? • How to model impacts of district cooling / heating in an old / new city? • Is district cooling or heating a realistic and/or interesting scenario? • Do cities have other decisions of interests that should be looked at?

  17. Tasks to do for city WPs: • IEQ: • Find prevalences of smoking indoors, other combustion indoors, dampness/mold, noisy areas. • Identify the critical exposures if not these. • Building stock • Find information about building stock volumes and energy efficiencies. • Land use • Find data about land use. • If not available, the GoogleMaps approach can be used. Who does this? • Building-related actions and policies • List of policies considered in the city.

  18. Thank you for your attention! Acknowledgements: Barry Evans, Einari Happonen, Azin Meftah, Jouni Tuomisto

More Related