Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology

Energy and Buildings, Journal Year: 2022, Volume and Issue: 272, P. 112354 - 112354

Published: Aug. 4, 2022

Language: Английский

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A Systematic Literature Review of Physics-Based Urban Building Energy Modeling (UBEM) Tools, Data Sources, and Challenges for Energy Conservation

Energies, Journal Year: 2022, Volume and Issue: 15(22), P. 8649 - 8649

Published: Nov. 18, 2022

Urban building energy modeling (UBEM) is a practical approach in large-scale for stakeholders the industry to predict use sector under different design and retrofit scenarios. UBEM relatively new (BEM) which raises challenges requires more in-depth study facilitate its application. This paper performs systematic literature review on physics-based techniques, focusing assessing conservation measures. Different case studies are examined based number type of buildings, systems, occupancy schedule modeling, archetype development, weather data type, model calibration methods. Outcomes show that existing tools techniques can successfully simulate assess measures large buildings. It also concluded standard acquisition high-resolution calibration, open-access data, especially heating cooling systems schedules, among biggest adoption. research focused developing auto-calibration routines, adding feedback loops real-time updates, future climate sensitivity analysis most impactful inputs should be prioritized research.

Language: Английский

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A guideline to document occupant behavior models for advanced building controls

Building and Environment, Journal Year: 2022, Volume and Issue: 219, P. 109195 - 109195

Published: May 20, 2022

Language: Английский

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Data sources and approaches for building occupancy profiles at the urban scale – A review

Building and Environment, Journal Year: 2023, Volume and Issue: 238, P. 110375 - 110375

Published: April 29, 2023

Language: Английский

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Urban building energy modeling (UBEM): a systematic review of challenges and opportunities

Energy Efficiency, Journal Year: 2023, Volume and Issue: 16(6)

Published: Aug. 1, 2023

Language: Английский

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State-of-the-art review of occupant behavior modeling and implementation in building performance simulation

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 185, P. 113558 - 113558

Published: Aug. 3, 2023

Occupant Behavior (OB) is one of the major drivers building energy consumption. However, OB usually oversimplified in Building Performance Simulation (BPS), resulting a significant performance gap between actual and simulated use. Thus, understanding true nature its accurate representation within BPS crucial. Despite existence many review articles that focus on several aspects OB, vast majority reviews are centered specific aspect modeling, scattering main findings among various studies. The literature still lacks comprehensive compiles analyzes recent studies each stage such as data collection analysis, integration models into BPS, validation, presentation suitable format. To this end, present summarizes, compiles, every presents an up-to-date evaluation multiple facets modeling BPS. It aims to development implementation steps model tools. A general outline characterizing recommended workflow for described. brief categorization methods used presented. Common quantitative approaches i.e., Stochastic, Statistical, Data mining, Agent-based methods, elucidated. applications, advantages, limitations discussed. available influence different patterns occupants' interaction with systems, cooling, lighting, shading, appliances, evaluated. In brief, study provides offering valuable insights both academic researchers industrial professionals aid them choosing adopting correct strategies accurately incorporate it

Language: Английский

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A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements

Building and Environment, Journal Year: 2024, Volume and Issue: 257, P. 111479 - 111479

Published: April 9, 2024

In a global context of increasing flexibility in the way workplaces and districts which they are located used, there is need for occupant-driven approaches to plan urban energy systems. Several authors have suggested use agent-based models (ABM) building occupants simulations due their ability reproduce emergent behaviors from individual agents' actions. However, few works literature take full advantage ABM paradigm, accounting both occupant presence energy-relevant at district scale. this work, we propose methodology develop data-driven, model occupants' activities thermal comfort an district. Our combines campus-scale Wi-Fi data derive feasible activity location plans, along with preference profiles derived longitudinal field study where off-the-shelf, non-intrusive sensors were used capture right-here-right-now 35 participants same case then explore how different operation strategies could affect performance increased workspace flexibility. results show that by providing diversity conditions, buildings having set point temperatures, hours be improved average about 10% little effect on performance. Meanwhile, 6%–15% decrease space cooling intensity was observed when implementing ventilation setpoint controls, regardless choice scenario.

Language: Английский

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A toolchain to evaluate the impact of urban heat island and climate change on summer overheating at district level

Urban Climate, Journal Year: 2023, Volume and Issue: 51, P. 101602 - 101602

Published: July 19, 2023

This paper aims to quantify and analyse the impact of urban heat island climate change on summer indoor thermal comfort in buildings at district level. By leveraging models outdoor dynamic building simulation, a toolchain is developed overheating hours under different scenarios rural context. Future data are generated for city Roeselare (Belgium) RCP4.5 RCP8.5 2030 2050 respectively, residential with 265 analysed by incorporating characteristics individual buildings, instead using traditional archetype approach. The results clearly demonstrate that risks exist most all scenarios. Mutual shading plays non-negligible role analysis. Scheduled opening operable windows controlled solar devices can effectively reduce level less important situation adaptation measures, number could be even larger areas certain circumstances. quantification methods.

Language: Английский

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Occupant-centric dynamic heating and cooling loads simplified prediction model for urban community at energy planning stage

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 90, P. 104406 - 104406

Published: Jan. 14, 2023

Language: Английский

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Correlating the urban microclimate and energy demands in hot climate Contexts: A hybrid review

Energy and Buildings, Journal Year: 2023, Volume and Issue: 295, P. 113303 - 113303

Published: July 5, 2023

Language: Английский

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