Using Display Energy Certificates to quantify public sector office energy consumption

Armitage, Peter; Godoy-Shimizu, Daniel; Steemers, Koen; Chenvidyakarn, Torwong

doi:10.1080/09613218.2014.975416

Cited by 25 publications

(20 citation statements)

References 6 publications

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“…In another study, energy use in the public sector office stock in England and Wales is explored using a database of 2,600 certificates. The electrical and fossil-thermal energy use profiles for different office types range between 68-211 kWh/m 2 and 132-53 kWh/m 2 respectively [21]. The energy use in English schools was derived using data from 8500 EPCs of primary or secondary schools [22].…”

Section: Of 29mentioning

confidence: 99%

Baselines for Energy Use and Carbon Emission Intensities in Hellenic Nonresidential Buildings

Droutsa

Balaras

Lykoudis³

et al. 2020

Energies

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This work exploits data from 30,000 energy performance certificates of whole nonresidential (NR) buildings in Greece. The available information is analyzed for 30 different NR building uses (e.g., hotels, schools, sports facilities, hospitals, retails, offices) and four main services (space heating, space cooling, domestic hot water and lighting). Data are screened in order to exclude outliers and checked for consistency with the Hellenic NR building stock. The average energy use and CO 2 emission intensities for all building uses are calculated, as well as the respective energy ratings in order to gain a better understanding of the NR sector. Finally, in an attempt to determine whether these values are representative for the various Hellenic NR building uses, their temporal evolution is investigated. The average primary energy use intensity is 448.0 kWh/m 2 for all NR buildings, while the CO 2 emissions reach 147.5 kgCO 2 /m 2 . The derived energy baselines reveal that indoor sports halls/swimming pools have the highest energy use, while private cram schools/conservatories have the lowest, due to their operational patterns. Generally, from the four services taken into account, lighting is the most energy consuming, followed by cooling, heating and finally domestic hot water. For a total of 11 building uses, more data from the certificates will be necessary for deriving representative baselines, but, when it comes to buildings categories, more data are required.

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Section: Of 29mentioning

confidence: 99%

Baselines for Energy Use and Carbon Emission Intensities in Hellenic Nonresidential Buildings

Droutsa

Balaras

Lykoudis³

et al. 2020

Energies

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“…In this context, one valuable resource to extract relevant data is from the energy performance certificates (EPC) that are being issued throughout Europe in compliance with EPBD. Along these lines, several studies have emerged that exploit this information to map the characteristics of NR buildings in several European countries [7][8][9].…”

Section: Figure 2 Average Energy Use Breakdown For Nr Buildings In Tmentioning

confidence: 99%

“…Over this period, the final energy use in the buildings sector (residential and NR buildings) has increased by 5.6%, from 399. 8 In the USA, the total final energy consumption has increased from 1237.0 Mtoe in 1995 to 1396.8 Mtoe in 2015 [4]. Over this period, the final energy use in the buildings sector has increased by 11.6%, from 421.0 Mtoe in 1995 to 469.8 Mtoe in 2015.…”

Section: Introductionmentioning

confidence: 99%

Energy use Intensities for Non-Residential Buildings

Balaras¹,

Dascalaki²,

Droutsa³

et al. 2017

Proceedings of the 48th International HVAC&R Congress

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“…Wales were used for reference [63][64][65]. The archetype models were calibrated with values representing the top 25% performing buildings in the subsector.…”

Section: Thousands Of Display Energy Certificates (Dec) Of Non-domestmentioning

confidence: 99%

An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings

Kerdan

Raslan

Ruyssevelt

2016

Energy

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While the building sector has a significant thermodynamic improvement potential, exergy analysis has been shown to provide new insight for the optimisation of building energy systems. This paper presents an exergy-based multi-objective optimisation tool that aims to assess the impact of a diverse range of retrofit measures with a focus on non-domestic buildings. EnergyPlus was used as a dynamic calculation engine for first law analysis, while a Python add-on was developed to link dynamic exergy analysis and a Genetic Algorithm optimisation process with the aforementioned software. Two UK archetype case studies (an office and a primary school) were used to test the feasibility of the proposed framework. Different measures combinations based on retrofitting the envelope insulation levels and the application of different HVAC configurations were assessed. The objective functions in this study are annual energy use, occupants' thermal comfort, and total building exergy destructions. A large range of optimal solutions was achieved highlighting the framework capabilities. The model achieved improvements of 53% in annual energy use, 51% of exergy destructions and 66% of thermal comfort for the school building, and 50%, 33%, and 80% for the office building. This approach can be extended by using exergoeconomic optimisation.

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Using Display Energy Certificates to quantify public sector office energy consumption

Cited by 25 publications

References 6 publications

Baselines for Energy Use and Carbon Emission Intensities in Hellenic Nonresidential Buildings

Baselines for Energy Use and Carbon Emission Intensities in Hellenic Nonresidential Buildings

Energy use Intensities for Non-Residential Buildings

An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings

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