1. Study methods to estimate KPIs and to identify best retrofit solutions MED/EU Synergies Conference REPUBLIC-MED 2 nd Open Day Dr. G.M. Stavrakakis

2.  Audits and collection of data  Diagnosis of vulnerabilities in the base-case  Assess the impact of alternative retrofits  Decision-making towards the selection of the best scenario Retrofit project objective

3. Collection of:  Well-known data collected during building energy audits +  Building surroundings: urban morphology, ground materials, neighbouring buildings technical data, vegetation  Climate data from the nearest meteo station  Interviews: Users’ behaviours, operation schedules of building systems Buildings: Audits and collection of data

4. Buildings: Questionnaire surveys

6. Buildings: Climate data processing Climate parameter Days of the month January1 Jan2 Jan3 Jan4 Jan……………..…….31 JanAverage 00.00V1V2…..………..Vj…..V31 ΣVj/No. of days 01.00 02.00 ……… 10.00 …….. 23.00 February1 Feb2 Feb3 Feb…..28 Feb 00.00V1V2…..Vj…… ΣVj/No. of days ….…..…… ….. Typical day in January Typical day of each month: Hourly time- series of climate parameters Microclimate model

7. Buildings: Climate data processing Average values DEFAULT CLIMATE VALUES NORMALLY USED NEW REALISTIC CLIMATE VALUES 12 Typical days but in the vicinity of the building Most critical variables: -Realistic temperature corrects heating/cooling loads - Realistic wind speed corrects U value

8. Buildings: Behaviour assessment DEFAULT OPERATION PATTERNS INTERVIEWS -Building manager - Workers - Technicians - Security Set-points Building schedules Within occupied hours After hours NEW REALISTIC OPERATION PATTERNS Realistic systems’ operation patterns for each typical day

9. Buildings: Coupled simulation approach NEW REALISTIC CLIMATE VALUES NEW REALISTIC SYSTEMS OPERATION PATTERNS BES Energy and cost indicators

10. Open spaces: Audits and collection of data External space data: -Geometry: Topographic diagram of the wider area (e.g. 1km from the open space) -Ground materials: Thermophysical properties (Uvalues, albedo, etc.) -Neighbouring buildings materials properties -Vegetation: Kind of trees, size, shape and location -Vehicles’ kinds and passing rates estimation -Hourly climate data series of reference year(s)

11. Open spaces: Climate data processing TemperatureDays of the month June1234……………..…….30Average 00.00V1V2…..………..Vj…..V30 ΣVj/No. of days 01.00 02.00 ……… 10.00 …….. 23.00 July1 Feb2 Feb3 Feb…..28 Feb 00.00V1V2…..Vj…… ΣVj/No. of days ….…..…… ….. Focus on 10.00- 18.00 of the last 5- year summers. Estimate the statistical hottest day of the year.

12. Open space: Model setup Incoming wind climate conditions (T, RH, VEL, etc.) of the hottest day Ground materials properties (e.g. albedo) Building materials properties Vegetation properties CO emissions from traffic

13. Open space: Example KPIGoal of retrofit SocialSports activities Walking Children grounds TsMinimization TCIsReduce TwAt least no change TCIwAt least no change Water surface

14. Open space: Example Summer temperature DTs↓=0.7

15. Open space: Example Summer thermal comfort (PMV) DPMVs↓=0.3

16. Open space: Example Winter temperature DTw↑=0.3

17. Open space: Example Winter thermal comfort DPMVw↑=0.3

18. Τιμές δεικτών που υπολογίστηκαν με χρήση της μεθόδου αποτίμησης Vi/Vmax Επιβολή προτεραιοτήτων Ιεράρχηση εναλλακτικών λύσεων Decision-making tool

19. ΕΥΧΑΡΙΣΤΩ ΠΟΛΥ Project technical coordinator Dr. George M. Stavrakakis Chemical Engineer, PhD, MSc Division of Development Programmes Centre for Renewable Energy Sources and Saving (CRES) Email address: gstavr@cres.gr Postal address: 19th km, Marathonos Av., GR-19009, Pikermi, Attiki, Greecegstavr@cres.gr Tel.: +30 210 6603372 Fax: +30 210 6603303 www.republic-med.eu