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Assessing evidence-based single-step and staged deep retrofit towards nearly zero-energy buildings (nZEB) using multi-objective optimisation

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Abstract

There is a dearth of data and evidence in the literature to assist the industry in determining the most appropriate strategies for large-scale deep retrofitting of non-domestic buildings to achieve healthy low-energy buildings. Support to decision-making and enabling deep retrofit of these buildings requires approaches such as long-term renovation strategies and building renovation passports. This paper compares the impact of single-step and staged retrofit approaches to improve the building energy performance of an existing building to a nearly zero-energy building (nZEB) level with improved comfort and optimal life-cycle costs. The novel developed methodological framework is applied to a university building built in 1975 (partially retrofit in 2005) that is expected to be completely retrofitted in 2020. A set of scenarios are analysed for the case study building using a combination of retrofit measures towards achieving the cost-optimal non-dominated solutions (Pareto front) based on multiple-objective optimisation for the decision-maker. The results highlight that a single-step retrofit can achieve a reduction of up to 60% in primary energy consumption and reduction of 38% in discomfort hours. The findings also indicate that nZEB performance with the primary energy consumption in the range of ~ 75–90 kWh m−2 year−1 (with plug loads) can be achieved cost-effectively through single-step deep retrofit for a university building. Results also highlighted the inability to achieve higher energy performance or improved comfort in two stages relative to completing a deep retrofit in a single stage. The results aim to contribute to the existing debate on the economic and environmental feasibility in realising long-term renovation strategies for existing non-domestic buildings, especially university buildings.

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Abbreviations

BEC:

Building energy communities

CvRMSE:

Coefficient of variation of the root mean square error

DCV:

Demand control ventilation

EPBD:

Energy Performance of Building Directive

EPC:

Energy Performance Certificate

GA:

Genetic algorithm

HVAC:

Heating, ventilation and air-conditioning

IAQ:

Indoor air quality

IEQ:

Indoor environmental quality

LCC:

Life-cycle cost

MOO:

Multi-objective optimisation

MV:

Mechanical ventilation

MVHR:

Mechanical ventilation with heat recovery

NMBE:

Normalised mean bias error

NSGA:

Non-dominated sorting genetic algorithm

NV:

Natural ventilation

nZEB:

Nearly zero-energy building

OH&P:

Overhead and profit

PV:

Photovoltaic

SEAI:

Sustainable Energy Authority of Ireland

VAT:

Value added tax

DH:

Percentage of discomfort hours [%]

g:

Solar transmittance [−]

IC:

Investment cost [€]

LOR:

Light output ratio [−]

MR:

Maintenance and repair cost [€]

NPV:

Net present value [€ m−2]

OE:

Operational energy cost [€]

PEC:

Primary energy consumption per unit of conditioned area [kWh m−2 year−1]

Re:

Replacement cost [€]

SHGC:

Solar heat gain coefficient [−]

U:

Thermal transmittance [W m−2 K−1]

VT:

Visual transmittance [−]

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Funding

This work is financially supported by Science Foundation Ireland (SFI) (Grant No. 13/CDA/2200).

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Correspondence to Jamie Goggins.

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The authors declare that they have no conflict of interest.

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Zuhaib, S., Goggins, J. Assessing evidence-based single-step and staged deep retrofit towards nearly zero-energy buildings (nZEB) using multi-objective optimisation. Energy Efficiency 12, 1891–1920 (2019). https://doi.org/10.1007/s12053-019-09812-z

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  • DOI: https://doi.org/10.1007/s12053-019-09812-z

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