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Building Energy Performance Reliable Predictions ESCO’s point of view

Building Energy Performance Reliable Predictions ESCO’s point of view. Aristotelis Botzios-Valaskakis MSc Mechanical Engineer Division of Development Programmes. Directive 32/2006 – On energy end-use efficiency and energy services.

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Building Energy Performance Reliable Predictions ESCO’s point of view

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  1. Building Energy Performance Reliable PredictionsESCO’s point of view Aristotelis Botzios-Valaskakis MSc Mechanical Engineer Division of Development Programmes

  2. Directive 32/2006 – On energy end-use efficiency and energy services • (i) ‘Energy Service Company’ (ESCO): a natural or legalperson that delivers energy services and/or other energyefficiency improvement measures in a user's facility orpremises, and accepts some degree of financial risk in sodoing. The payment for the services delivered is based(either wholly or in part) on the achievement of energyefficiency improvements and on the meeting of the otheragreedperformance criteria; • (j) ‘Energy Performance Contracting (EPC)’: a contractual arrangementbetween the beneficiary and the provider (normallyan ESCO) of an energy efficiency improvement measure,where investments in that measure are paid for inrelation to a contractually agreed level of energyefficiency improvement;

  3. ESCOs – Areas of Interest • PRIMARY IMPORTANCE • Existing large, public buildings • Existing large buildings of the tertiary sector • Existing industries with industrial processes • SECONDARY IMPORTANCE • Existing small-to-medium sized public buildings • Existing small-to-medium sized buildings of the tertiary sector TERTIARY IMPORTANCE Residential buildings • A CLASS OF ITS OWN • New buildings

  4. Guarantee of Performance (buildings) - 1 PHASE 1 • Collection and analysis of all available information (i.e. technical Studies, maps, design drawings, weather data, boiler efficiency measurements etc.) • Collection and analysis of the energy bills of the building for the last three years (i.e. electricity, conventional fuels) • Visit to the building (i.e. verification and assessment of collected information) • Questionnaires and interviews regarding the use of the building and its equipment (i.e. occupancy, set temperatures, on/off of installations etc.) • Elaboration of plan of action for necessary measurements (i.e. electricity metering, conventional fuel consumption, indoor temperatures) • Implementation of measurements

  5. Guarantee of Performance (buildings) - 2 • PHASE 2 • Simulation of energy performance of building • PHASE 3 • Calibration of simulation results (i.e. mainly via weather data and/or building use) • Analysis of resultsand allocation of energy uses (i.e. lighting, hot water, heating, cooling etc.) • PHASE 4 • Proposal of energy efficiency measures • Estimation of reduction in energy consumption via the calibrated simulation model

  6. CASE STUDY – OFFICE BUILDING IN CENTRAL ATHENS

  7. CASE STUDY – GENERAL INFORMATION Total building area = 42.617m2 (7.128 m2 for electromechanical equipment, 35.489 m2 for offices, call centres and data centres)

  8. CASE STUDY – METEOROLOGICAL DATA

  9. CASE STUDY – MEASUREMENTS • Monitoring of electricity consumption of electrical substations in order to ascertain the weekly consumption profile. • Instantaneous measurements of substation power factors and harmonic distortion • Thermal imaging of external walls, interior of building, boiler-burner equipment, cooling equipment • Illuminance levels (Lux) in selected representative rooms of the building • Internal temperature and humidity in representative rooms of the building • Temperature of cooling water going to and leaving the Fan Coil Units (FCU) • Temperature of air leaving the FCUs

  10. CASE STUDY – BUILDING SIMULATION • TRNSYS17 – A dynamic, hourly simulation model written in Fortran. • EPA-NRa quasi-dynamic monthly simulation model. • ΤΕΕ-ΚΕΝΑΚ the quasi-dynamic national monthly energy certification model.

  11. CASE STUDY – BUILDING SIMULATION • TRNSYS17 – EPA-NR: + 15% divergence • TRNSYS17 – TOTEE-KENAK: + 40% divergence • TRNSYS 17 – Measurements: -10 % divergence (open windows whilst smoking, lighting and FCU on during non-office hours, different occupancy scheduling, etc.)

  12. Thank you for your attention! 19okm. Marathonos Avenue, 19009 Athens, Greece Τel: 2106603300, Fax: 2106603301-2 www.cres.gr, cres@cres.gr

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