Estimation and Validation of Energy Consumption in UK Existing Hotel Building Using Dynamic Simulation Software

Abdulazeez Rotimi, Ali Bahadori-Jahromi, Anastasia Mylona, Paulina Godfrey and Darren Cook
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Abdulazeez Rotimi: Department of Civil and Environmental Engineering, School of Computing and Engineering, University ofWest London, London W5 5RF, UK
Ali Bahadori-Jahromi: Department of Civil and Environmental Engineering, School of Computing and Engineering, University ofWest London, London W5 5RF, UK
Anastasia Mylona: Research Department, The Chartered Institution of Building Services Engineers (CIBSE), London SW12 9BS, UK
Paulina Godfrey: Energy and Environment, Engineering Operations EMEA, Hilton, Maple Court Central Park, Reeds Crescent, Watford WD24 4QQ, UK
Darren Cook: Engineering Operations EMEA, Hilton, Maple Court Central Park, Reeds Crescent, Watford WD24 4QQ, UK

Sustainability, 2017, vol. 9, issue 8, 1-18

Abstract: Adverse effects of anthropogenic climate change has resulted in mitigation strategies geared towards curbing CO 2 emissions. Consequently, this has increased demand for more energy efficient buildings. Considerable amounts of studies have shown the existence of a significant discrepancy between estimated energy consumption by thermal simulation software and actual building operational energy; this is referred to as a ‘performance gap’. This work presents a method of improving the energy consumption estimate in an existing non-domestic building via the use of a case study UK hotel (Hilton Reading Hotel) and Engineering Development Solutions limited (EDSL) TAS thermal simulation software. The method involves evaluating consumption estimates through plant modelling, and modifying this result by surveying the site to verify the simulation data and including estimates of unaccounted building energy use such as catering services which can be significant in hotels. The energy consumption result for this case study building gives an estimate which is within 12% of the actual building consumption data. The result also demonstrated that such models can produce energy consumption estimates that are up to 23% more accurate than building regulation compliance models and that more accurate simulation consumption estimates can be achieved by accounting for more unregulated energy uses, for example, lifts, servers and small power load.

Keywords: hotel building; energy consumption; dynamic simulation; climate change (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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