Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Pan, Yiqun; Zhu, Mingya; Liu, Yan; Yang, Yikun; Liang, Yumin; Yin, Ruxin; Yang, Yong; Jia, Xiaoyu; Wang, Xi; Zeng, Fei; Huang, Seng; Hou, Danlin; Xu, Lei; Yin, Rongxin; Yuan, Xiaolei

doi:10.1016/j.adapen.2023.100135

Cited by 86 publications

(22 citation statements)

References 141 publications

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“…Most simulation tools were developed over the years with having one aspect in focus (e.g., 'energy' or 'daylight') with one (set of) metrics as results. Later in time, researchers started to couple tools in order to calculate multiple (sets of) metrics at the same time [47].…”

Section: Discussionmentioning

confidence: 99%

Exploring Simulation Workflows, Tools, and Metrics for Beyond-Vision Effects in Multi-Objective Optimization: A Scoping Review

Tabbah,

Aries,

Moscati

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Lighting in the built environment affects different aspects, ranging from building performance in terms of costs and energy consumption to human well-being in terms of thermal comfort, visual effects, and beyond-vision effects. Buildings optimised for specific performance metrics rarely consider different aspects simultaneously, leading to sub-optimised, unbalanced, or non-trade-off solutions. Therefore, multi-objective optimisation has commonly been used to overcome conflicting performance objectives. Recently, light effects beyond vision gained more interest in building design but it is unclear if and how they are integrated with other existing building performance metrics and simulation workflows. A scoping review investigated the state-of-art in multi-objective lighting design optimisation regarding building performance and human well-being focusing on performance metrics, simulation workflows, and the overall information flow. Results show that metrics for beyond-vision effects are not integrated with other human well-being and building performance metrics. The simulation workflows included multiple steps and computational tools in multi-objective optimisation. This process has limitations such as a long simulation time, no ubiquitous integrated tool, and a reduced information flow.

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Section: Discussionmentioning

confidence: 99%

Exploring Simulation Workflows, Tools, and Metrics for Beyond-Vision Effects in Multi-Objective Optimization: A Scoping Review

Tabbah,

Aries,

Moscati

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Recent advances in ML models aid in various activities related to energy systems and HVAC structures. Energy estimation methods are divided into physics-oriented models (i.e., forward models) and data-driven or "inverse" models [17]. Forward models require numerous inputs and find primary use in the building design.…”

Section: Energy Consumption Of Buildingsmentioning

confidence: 99%

Machine Learning Practices During the Operational Phase of Buildings: A Critical Review

Jaufer,

Kader,

Spalevic

et al. 2024

aeletters

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Machine Learning (ML) is gaining attention in civil engineering especially within operational phase of building life cycle. This phase is crucial for managing every energy aspect while ensuring occupant comfort. Previous ML experiments have explored occupant behavior, occupancy estimation, load prediction, defect detection, and Heating, Ventilation, and Air Conditioning (HVAC) system diagnostics. However, challenges such as ML transferability and limited literature on ML components for the operational phase hinder broader industry adoption. This critical review aims to assess the potential of ML in building operations, focusing on energy consumption, big data control, reinforcement learning, and thermal comfort modeling. By identifying knowledge gaps, the study recommends further research to leverage ML for sustainable energy consumption and occupant comfort. It highlights ML’s promising role in striking a balance between energy efficiency and occupant wellbeing.

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“…In fact, in addition to the experience of the user, and hardware availability, the first criterion for selecting a building energy analysis program is the ability of the program to deal with the application [12]. Pan et al [13], categorize 157 studies into five application scenarios: performance-driven design, operational optimization, building-to-grid interaction, digital twin, and urban modelling. The distribution of the studies across the various application scenarios is presented in Figure 1.…”

Section: Building Energy Modelling and Pv Systems In The Urban Enviro...mentioning

confidence: 99%

“…Figure 1. Distribution of the selected studies across various application scenarios according to [13].…”

Section: Building Energy Modelling and Pv Systems In The Urban Enviro...mentioning

confidence: 99%

Integration of PV Systems in the Urban Environment—A Review

Rodrigues,

Palmero-Marrero,

Oliveira

2024

Preprint

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Building integrated photovoltaics (BIPV) consists of PV panels that are integrated into the building as part of the construction. This technology has advantages such as the production of electricity without necessary additional land area. This paper provides a literature review about the recent developments in urban building energy modelling, including tools and methods, and the effect of PV systems on building outdoor and indoor environments. It is also intended to provide a critical analysis on how PV systems affect the urban environment, both from an energy and a comfort point of view. The urban heat island development is introduced and related with the existence of PV systems. It is concluded that data acquisition is still a weakness in urban building energy modelling, especially in what concerns non-geometric data, which leads to a major source of errors. The availability of data is a challenge because frequently they are not accessible, due to privacy, high-cost or other reasons. Also, methodologies to develop precise archetypes for creating urban building energy models are lacking.

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Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Cited by 86 publications

References 141 publications

Exploring Simulation Workflows, Tools, and Metrics for Beyond-Vision Effects in Multi-Objective Optimization: A Scoping Review

Exploring Simulation Workflows, Tools, and Metrics for Beyond-Vision Effects in Multi-Objective Optimization: A Scoping Review

Machine Learning Practices During the Operational Phase of Buildings: A Critical Review

Integration of PV Systems in the Urban Environment—A Review

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