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

被引:0
|
作者
Sheikh Zuhaib
Jamie Goggins
机构
[1] National University of Ireland,Civil Engineering, School of Engineering, College of Science and Engineering
[2] National University of Ireland,MaREI Centre for Marine, Climate and Energy, Ryan Institute
来源
Energy Efficiency | 2019年 / 12卷
关键词
Nearly zero-energy buildings; Deep retrofit; Cost-optimality; Energy performance; Staged retrofits;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:1891 / 1920
页数:29
相关论文
共 14 条
  • [1] Assessing evidence-based single-step and staged deep retrofit towards nearly zero-energy buildings (nZEB) using multi-objective optimisation
    Zuhaib, Sheikh
    Goggins, Jamie
    [J]. ENERGY EFFICIENCY, 2019, 12 (07) : 1891 - 1920
  • [2] Energy retrofit of educational buildings: Transient energy simulations, model calibration and multi-objective optimization towards nearly zero-energy performance
    Ascione, Fabrizio
    Bianco, Nicola
    De Masi, Rosa Francesca
    Mauro, Gerardo Maria
    Vanoli, Giuseppe Peter
    [J]. ENERGY AND BUILDINGS, 2017, 144 : 303 - 319
  • [3] Multi-Objective and Multi-Criteria Optimization of Microgrids for Nearly Zero-Energy Buildings
    Galisai, Simone
    Ghiani, Emilio
    Pilo, Fabrizio
    [J]. 2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), 2019,
  • [4] Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings
    Fedorczak-Cisak, Malgorzata
    Kotowicz, Anna
    Radziszewska-Zielina, Elzbieta
    Sroka, Bartlomiej
    Tatara, Tadeusz
    Barnas, Krzysztof
    [J]. ENERGIES, 2020, 13 (07)
  • [5] A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings
    Liu, Zhijian
    Fan, Guangyao
    Sun, Dekang
    Wu, Di
    Guo, Jiacheng
    Zhang, Shicong
    Yang, Xinyan
    Lin, Xianping
    Ai, Lei
    [J]. ENERGY, 2022, 239
  • [6] An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings
    Kerdan, Ivan Garcia
    Raslan, Rokia
    Ruyssevelt, Paul
    [J]. ENERGY, 2016, 117 : 506 - 522
  • [7] Renewable energy system optimization of low/zero energy buildings using single-objective and multi-objective optimization methods
    Lu, Yuehong
    Wang, Shengwei
    Zhao, Yang
    Yan, Chengchu
    [J]. ENERGY AND BUILDINGS, 2015, 89 : 61 - 75
  • [8] Zero energy potential of a high-rise office building in a Mediterranean climate: Using multi-objective optimization to understand the impact of design decisions towards zero-energy high-rise buildings
    Giouri, Evangelia Despoina
    Tenpierik, Martin
    Turrin, Michela
    [J]. ENERGY AND BUILDINGS, 2020, 209
  • [9] Multi-objective optimization design and multi-attribute decision-making method of a distributed energy system based on nearly zero-energy community load forecasting
    Guo, Jiacheng
    Zhang, Peiwen
    Wu, Di
    Liu, Zhijian
    Liu, Xuan
    Zhang, Shicong
    Yang, Xinyan
    Ge, Hua
    [J]. ENERGY, 2022, 239
  • [10] Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)
    Carlucci, Salvatore
    Cattarin, Giulio
    Causone, Francesco
    Pagliano, Lorenzo
    [J]. ENERGY AND BUILDINGS, 2015, 104 : 378 - 394