Optimising building performance for a resilient Future: A Multi-Objective approach to Net Zero energy strategies

被引:2
作者
Makhloufi, Abdelhakim Walid [1 ,2 ]
Louafi, Samira [1 ,2 ]
机构
[1] Univ Constantine 3 Salah Boubnider, Dept Architecture & Urban Planning, Constantine, Algeria
[2] Univ Constantine 3 Salah Boubnider, Lab Bioclimat Architecture & Environm ABE, Constantine, Algeria
关键词
Net zero energy; Energy efficiency; Cost-optimality; Multi-stage optimisation; Climate change adaptation; OPTIMIZATION DESIGN; THERMAL COMFORT; MULTISTAGE;
D O I
10.1016/j.enbuild.2024.114869
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The escalating impacts of climate change on urban environments underscore the imperative for energy-efficient buildings. As the building sector constitutes approximately 40% of global energy consumption, the implementation of NZE designs is critical for emission reduction. This study utilised Building Performance Optimisation methodologies alongside a multi-stage optimisation framework to evaluate energy consumption, Life cycle cost and carbon emissions under various climate scenarios (RCP 2.6, 4.5, and 8.5) in three Algerian cities-Constantine (semi-arid), Algiers (Mediterranean), and Ghardaia (arid). The results revealed that the integration of passive, active, and renewable energy strategies significantly curtailed energy consumption and CO2 emissions across different climatic contexts. Specifically, passive measures achieved reductions in energy use ranging from 39% in Ghardaia to 15% in Constantine. Active systems, including high-efficiency HVAC technologies, resulted in energy savings of 59% in Ghardaia, 52% in Algiers, and 47% in Constantine. Furthermore, renewable energy sources, with a focus on solar photovoltaics, contributed additional reductions: 44% in Algiers, 26% in Ghardaia, and 20% in Constantine. The multi-stage optimisation approach also enhanced computational efficiency, significantly reducing simulation time and facilitating the rapid identification of optimal strategies. These findings highlight the efficacy of integrating a range of energy strategies to achieve NZE. Nevertheless, while these systems demonstrate robust performance under current conditions, their effectiveness diminishes under future climate scenarios, underscoring the necessity for adaptive and resilient design approaches. Ongoing optimisation and innovation will be essential to maintaining the efficacy of NZE strategies in the face of extreme future climate conditions.
引用
收藏
页数:14
相关论文
共 34 条
  • [1] Achieving Net Zero-Energy Buildings through Retrofitting Existing Residential Buildings Using PV Panels
    Albadry, Somaya
    Tarabieh, Khaled
    Sewilam, Hani
    [J]. INTERNATIONAL CONFERENCE - ALTERNATIVE AND RENEWABLE ENERGY QUEST (AREQ 2017), 2017, 115 : 195 - 204
  • [2] Surrogate Models for Efficient Multi-Objective Optimization of Building Performance
    Araujo, Goncalo Roque
    Gomes, Ricardo
    Gomes, Maria Gloria
    Guedes, Manuel Correia
    Ferrao, Paulo
    [J]. ENERGIES, 2023, 16 (10)
  • [3] Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality
    Ascione, Fabrizio
    Bianco, Nicola
    De Stasio, Claudio
    Mauro, Gerardo Maria
    Vanoli, Giuseppe Peter
    [J]. APPLIED ENERGY, 2016, 174 : 37 - 68
  • [4] Athienitis Andreas., 2015, Modeling, Design, and Optimization of Net-Zero Energy Buildings
  • [5] Towards regenerative and positive impact architecture: A comparison of two net zero energy buildings
    Attia, Shady
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2016, 26 : 393 - 406
  • [6] A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings
    Bre, Facundo
    Fachinotti, Victor D.
    [J]. ENERGY AND BUILDINGS, 2017, 154 : 283 - 294
  • [7] Buso T, 2017, Nearly Zero Energy Multi-Functional Buildings-Energy and Economic Evaluations, DOI [10.6092/polito/porto/2690913, DOI 10.6092/POLITO/PORTO/2690913]
  • [8] COP26, 2021, UN CLIM CHANG C 2021
  • [9] Cost-Optimal Analysis for Nearly Zero Energy Buildings Design and Optimization: A Critical Review
    Ferrara, Maria
    Monetti, Valentina
    Fabrizio, Enrico
    [J]. ENERGIES, 2018, 11 (06):
  • [10] Filliodeau A., 2009, Revue Teledetection, V8