The role of sensitivity analysis in the building performance analysis: A critical review

Z Pang, Z O'Neill, Y Li, F Niu - Energy and Buildings, 2020 - Elsevier
A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …

Life Cycle Assessment of building stocks from urban to transnational scales: A review

A Mastrucci, A Marvuglia, U Leopold… - … and Sustainable Energy …, 2017 - Elsevier
Buildings are responsible for a large share of the energy consumption and environmental
impacts worldwide. An assessment of the energy demand and environmental performance …

Sensitivity analysis of building energy performance: A simulation-based approach using OFAT and variance-based sensitivity analysis methods

N Delgarm, B Sajadi, K Azarbad, S Delgarm - Journal of Building …, 2018 - Elsevier
In this research, one-factor-at-a-time (OFAT) and variance-based sensitivity analysis
methods integrate with EnergyPlus through MATLAB to define predominant variables …

Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach

K Wang, X Wu, L Zhang, X Song - Advanced Engineering Informatics, 2023 - Elsevier
A robust multi-step TBM attitude prediction approach named convolutional gated-recurrent-
unit neural network (C-GRU) is proposed in this research and the random balance design …

A parametric sensitivity analysis of the influence of urban form on domestic energy consumption for heating and cooling in a Mediterranean city

A Vartholomaios - Sustainable cities and society, 2017 - Elsevier
The study presents the results of a parametric analysis of the impact of urban form on
domestic energy consumption for heating and cooling. Three urban typologies, the pavilion …

Regression-based sensitivity analysis and multi-objective optimisation of energy performance and thermal comfort: Building envelope design in hot arid urban context

S Ouanes, L Sriti - Building and Environment, 2024 - Elsevier
Previous research has established that energy demand of buildings in street canyons are
affected by the surrounding urban physical characteristics. This suggests that it is possible to …

Prediction and optimization of heating and cooling loads for low energy buildings in Morocco: An application of hybrid machine learning methods

N Abdou, Y El Mghouchi, K Jraida, S Hamdaoui… - Journal of Building …, 2022 - Elsevier
In this paper, a metamodel-based approach involving simulation data collection and data-
driven techniques was used to forecast and optimize heating and cooling loads in three …

Energy-saving potential of deeply retrofitting building enclosures of traditional courtyard houses–A case study in the Chinese Hot-Summer-Cold-Winter zone

M Zhao, SR Mehra, HM Künzel - Building and environment, 2022 - Elsevier
It is increasingly believed that energy retrofits are a protection tool to preserve cultural
heritage for future generations. However, few studies are available regarding the deep …

Estimating and minimizing embodied carbon of prefabricated high-rise residential buildings considering parameter, scenario and model uncertainties

Y Teng, W Pan - Building and environment, 2020 - Elsevier
Carbon emissions associated with high-rise buildings are expected to grow with the
increasing population in high-density cities. As an environmentally friendly construction …

[HTML][HTML] A comprehensive review and sensitivity analysis of the factors affecting the performance of buildings equipped with Variable Refrigerant Flow system in …

A Etemad, A Shafaat, AM Bahman - Renewable and Sustainable Energy …, 2024 - Elsevier
Abstract Variable Refrigerant Flow (VRF) systems are becoming increasingly popular in
commercial and residential buildings due to their flexibility and efficiency. Building design …