2022 Building Performance Analysis Conference and SimBuild – Special Issue

IF 1.7 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Science and Technology for the Built Environment Pub Date : 2024-03-31 DOI:10.1080/23744731.2024.2333676
Andy Berres, Y. Ye
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Through a participatory framework using a software tool to help facilitate conversation, we will simulate a methodology for assessing risks in the built environment, identifying pain points of building owners and occupants, and developing a novel solution for the identified energy, indoor air quality, and climate adaptation challenges. A technical background will be provided at the start of the session and then a series of questions will be asked to guide participants through the simulated product development experience. Modelling of existing buildings presents unique challenges which can differ quite substantially from one building to the next depending on many technical and non-technical factors. This session covers two tools for assessing existing buildings as well as one unique case study of a historic museum. The first tool discussed is focused on retrofitting opportunities for small to medium commercial buildings while the second is focused on rapid modelling for ESG assessments. The museum case study presents the use of specialized simulation techniques to solve the specific challenges facing the museum. This session presents three studies that use advanced simulation and analysis techniques to assess the impacts of the built environment on human occupants. The first presentation investigates the variation of temperature across time and across space in single family residences and its impact on thermal comfort. This is followed by a study of the impact of thermal conditions on sleep for older occupants. The final presentation considers the impact on occupant behavior patterns of simulated building performance metrics. This session discusses the role future weather, climate and other extreme climate events play in decisions concerning the nexus between energy efficiency, resiliency, and load flexibility. The first presentation discusses optimization approaches for building envelope to account for future climatic demands. The next presentation discusses the development of a simplified battery storage sizing tool to estimate storage needs for homes operating off-grid. The session discusses the importance of a stochastic model of future weather conditions, so that dynamics between resilience metrics and efficiency metrics can be fairly assessed. The final presentation evaluates the passive survivability under extreme weather events. This session starts with discussing a new tool that assists designers by integrating commercial building energy surveys, recent ASHRAE research, and comparative analysis of historical vs. future weather data. This session also covers the predictability of future occupant presence based on collected occupancy sensor data, as well as the impact of tangential costs (repairing damaged interior finishes as part of a fenestration replacement project, e.g.) on results of Life-Cycle Cost Analysis (LCCA). The session concludes with a discussion of balancing simulation precision and detail with efficiency and profit margins via benchmarking, simplified analysis, and isolated test models. This seminar introduces recent efforts in developing open source modeling tools for district energy systems based on URBANopt and Modelica Buildings library, which is a joint effort of NREL, LBNL and Penn State. We will introduce new Modelica models for steam-based district heating system and future low carbon systems. Then we will discuss the integration of URBANopt and Modelica. We will also demonstrate the usage of such tool with some real-world examples. this session discuss several strategies evaluated for the City of to reduce residential heating loads, natural ventilation as a passive technology and shows two data-driven advanced control designs for natural ventilation, integrating algae photobioreactors into facades, to act as a passive HVAC system, and recover the heat generated by the system for space heating. Also presented are façade-integrated photovoltaics and an evaluation of different configurations which can impact the efficiency of the system as well as an innovative wall component integrating the flexible PV panels with the wall insulation system. Flexible Photovoltaic This session covers various topics related to large-scale residential building analysis and validation of modeling results using empirical data. The first speaker covers a large-scale simulation methodology which evaluated the impact of trade-offs on building envelope performance. The second presentation introduces a methodology for using empirical data for residential buildings to validate predicated energy use results. Next, a random forest machine learning model to predict envelope assembly characteristics for existing buildings is presented. The final presentation evaluates the effects of a new daylighting system on the thermal and electric load of a typical office building. How can we best choreograph the many moving parts of building systems for greatest efficiency or effectiveness? This session explores new integrations of coordinated space heating systems, the optimization of fire prevention systems, and the development and application of an extensive new end use load profile database. This session is a follow-up to our 2021 ASHRAE BPAC session: 30-yr GHG Forecasts Using Marginal and Average Emissions, where we sought to optimize office building design for minimal operational carbon by employing strategies including electrification, onsite renewables, and battery storage. This session will focus on analyzing multifamily buildings’ lifetime emissions using NREL’s hourly Cambium data and design optimization using the same intervention strategies. We will discuss updates to the Cambium data, which now includes upstream methane, and the impact on the previous results. We will also analyze the mechanical systems’ refrigerants and their Scope 1 emissions. Urban scale and building stock simulations present the challenge of representing many buildings through a much smaller number of models. First, authors share how building type can be inferred from utility-provided energy use data. Then, they evaluate how well common data-driven black-box models work for regulatory calculations to support policy making. Next, speakers identify comparable variables in urban scale models that correlate inputs with results. Using Manhattan as a case study, we share a framework for renewable energy-based urban planning. Finally, the authors examine how optimal control of battery sizes can promote equity in energy access. Building performance depends on not only how the building is designed but also how the building is operated. In this regard, it is important to improve building operational performance by optimal controls, automatic fault detection and diagnosis, and machine learning. The first three papers cover input data uncertainty, sensor faults and the use of collected data for optimal building controls. The fourth paper investigates the dual fuel heat pump controls for energy and cost savings in residential buildings. Finally, the 5 th paper presents the optimal demand response control for heat pump water heaters. systems and address common missteps regarding building envelope performance values for energy models. . Specifically, we will review fenestration and spandrel U-factor calculations, envelope thermal bridges and thermal comfort, mechanical system impact on surface condensation, and review envelope air leakage assumptions. The seminar includes case studies to provide practical examples of each topic. This session covers several topics including CFD for grow houses, inequities in building energy use, lighting for demand response, and strategies for balancing IAQ and energy consumption. The first presentation introduces an approach using CFD to optimize grow house designs for plant growth. The second is a review of recent research on inequities in building energy use and guidance for how professionals can drive change. The third outlines the potential for using lighting as a distributed energy resource via demand response signals. The fourth is an evaluation of different contaminant removal strategies balancing indoor air quality and energy consumption. With air-conditioning, and for many, that means packing an extra sweater to keep the goosebumps at bay. Winter can be equally challenging, as people in cold climates swelter in offices warmed to a toasty 72F. Is it possible that the ASHRAE 55 standard comfort zone is due for an update? The urgency of addressing climate change, the high energy consumption of space heating and cooling and the limited research base supporting the standard comfort zone suggest that, perhaps, it could be. In this debate, we’ll hear experts in the field debate the resolution. This session includes three papers which cover diverse but highly interesting topic. This session starts off with a presentation which explores visual comfort and daylight performance of an office building through metrics including sDA and ASE. The next presentation in this session evaluates how algae bio-reactive building envelopes can regulate a building’s natural lighting and demonstrates the significance of self-adaptive shading to a building’s heat gain and energy savings. 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引用次数: 0

Abstract

This session introduces recent advances in daylighting analysis and design technologies. First, we consider a novel computational workflow to customize illuminance ranges and select target areas to examine local light levels in residential applications. Then, we explore the ability of vectorized computer languages to increase the speed of annual daylighting calculations. Finally, we show how parametric iterative algorithms can be used to design prismatic skylights that optimize useful daylight, glare reduction, and energy consumption. 1. This session will be an interactive exploration of climate change, carbon removal, energy use, and indoor air quality in the built environment. Through a participatory framework using a software tool to help facilitate conversation, we will simulate a methodology for assessing risks in the built environment, identifying pain points of building owners and occupants, and developing a novel solution for the identified energy, indoor air quality, and climate adaptation challenges. A technical background will be provided at the start of the session and then a series of questions will be asked to guide participants through the simulated product development experience. Modelling of existing buildings presents unique challenges which can differ quite substantially from one building to the next depending on many technical and non-technical factors. This session covers two tools for assessing existing buildings as well as one unique case study of a historic museum. The first tool discussed is focused on retrofitting opportunities for small to medium commercial buildings while the second is focused on rapid modelling for ESG assessments. The museum case study presents the use of specialized simulation techniques to solve the specific challenges facing the museum. This session presents three studies that use advanced simulation and analysis techniques to assess the impacts of the built environment on human occupants. The first presentation investigates the variation of temperature across time and across space in single family residences and its impact on thermal comfort. This is followed by a study of the impact of thermal conditions on sleep for older occupants. The final presentation considers the impact on occupant behavior patterns of simulated building performance metrics. This session discusses the role future weather, climate and other extreme climate events play in decisions concerning the nexus between energy efficiency, resiliency, and load flexibility. The first presentation discusses optimization approaches for building envelope to account for future climatic demands. The next presentation discusses the development of a simplified battery storage sizing tool to estimate storage needs for homes operating off-grid. The session discusses the importance of a stochastic model of future weather conditions, so that dynamics between resilience metrics and efficiency metrics can be fairly assessed. The final presentation evaluates the passive survivability under extreme weather events. This session starts with discussing a new tool that assists designers by integrating commercial building energy surveys, recent ASHRAE research, and comparative analysis of historical vs. future weather data. This session also covers the predictability of future occupant presence based on collected occupancy sensor data, as well as the impact of tangential costs (repairing damaged interior finishes as part of a fenestration replacement project, e.g.) on results of Life-Cycle Cost Analysis (LCCA). The session concludes with a discussion of balancing simulation precision and detail with efficiency and profit margins via benchmarking, simplified analysis, and isolated test models. This seminar introduces recent efforts in developing open source modeling tools for district energy systems based on URBANopt and Modelica Buildings library, which is a joint effort of NREL, LBNL and Penn State. We will introduce new Modelica models for steam-based district heating system and future low carbon systems. Then we will discuss the integration of URBANopt and Modelica. We will also demonstrate the usage of such tool with some real-world examples. this session discuss several strategies evaluated for the City of to reduce residential heating loads, natural ventilation as a passive technology and shows two data-driven advanced control designs for natural ventilation, integrating algae photobioreactors into facades, to act as a passive HVAC system, and recover the heat generated by the system for space heating. Also presented are façade-integrated photovoltaics and an evaluation of different configurations which can impact the efficiency of the system as well as an innovative wall component integrating the flexible PV panels with the wall insulation system. Flexible Photovoltaic This session covers various topics related to large-scale residential building analysis and validation of modeling results using empirical data. The first speaker covers a large-scale simulation methodology which evaluated the impact of trade-offs on building envelope performance. The second presentation introduces a methodology for using empirical data for residential buildings to validate predicated energy use results. Next, a random forest machine learning model to predict envelope assembly characteristics for existing buildings is presented. The final presentation evaluates the effects of a new daylighting system on the thermal and electric load of a typical office building. How can we best choreograph the many moving parts of building systems for greatest efficiency or effectiveness? This session explores new integrations of coordinated space heating systems, the optimization of fire prevention systems, and the development and application of an extensive new end use load profile database. This session is a follow-up to our 2021 ASHRAE BPAC session: 30-yr GHG Forecasts Using Marginal and Average Emissions, where we sought to optimize office building design for minimal operational carbon by employing strategies including electrification, onsite renewables, and battery storage. This session will focus on analyzing multifamily buildings’ lifetime emissions using NREL’s hourly Cambium data and design optimization using the same intervention strategies. We will discuss updates to the Cambium data, which now includes upstream methane, and the impact on the previous results. We will also analyze the mechanical systems’ refrigerants and their Scope 1 emissions. Urban scale and building stock simulations present the challenge of representing many buildings through a much smaller number of models. First, authors share how building type can be inferred from utility-provided energy use data. Then, they evaluate how well common data-driven black-box models work for regulatory calculations to support policy making. Next, speakers identify comparable variables in urban scale models that correlate inputs with results. Using Manhattan as a case study, we share a framework for renewable energy-based urban planning. Finally, the authors examine how optimal control of battery sizes can promote equity in energy access. Building performance depends on not only how the building is designed but also how the building is operated. In this regard, it is important to improve building operational performance by optimal controls, automatic fault detection and diagnosis, and machine learning. The first three papers cover input data uncertainty, sensor faults and the use of collected data for optimal building controls. The fourth paper investigates the dual fuel heat pump controls for energy and cost savings in residential buildings. Finally, the 5 th paper presents the optimal demand response control for heat pump water heaters. systems and address common missteps regarding building envelope performance values for energy models. . Specifically, we will review fenestration and spandrel U-factor calculations, envelope thermal bridges and thermal comfort, mechanical system impact on surface condensation, and review envelope air leakage assumptions. The seminar includes case studies to provide practical examples of each topic. This session covers several topics including CFD for grow houses, inequities in building energy use, lighting for demand response, and strategies for balancing IAQ and energy consumption. The first presentation introduces an approach using CFD to optimize grow house designs for plant growth. The second is a review of recent research on inequities in building energy use and guidance for how professionals can drive change. The third outlines the potential for using lighting as a distributed energy resource via demand response signals. The fourth is an evaluation of different contaminant removal strategies balancing indoor air quality and energy consumption. With air-conditioning, and for many, that means packing an extra sweater to keep the goosebumps at bay. Winter can be equally challenging, as people in cold climates swelter in offices warmed to a toasty 72F. Is it possible that the ASHRAE 55 standard comfort zone is due for an update? The urgency of addressing climate change, the high energy consumption of space heating and cooling and the limited research base supporting the standard comfort zone suggest that, perhaps, it could be. In this debate, we’ll hear experts in the field debate the resolution. This session includes three papers which cover diverse but highly interesting topic. This session starts off with a presentation which explores visual comfort and daylight performance of an office building through metrics including sDA and ASE. The next presentation in this session evaluates how algae bio-reactive building envelopes can regulate a building’s natural lighting and demonstrates the significance of self-adaptive shading to a building’s heat gain and energy savings. The final presentation in this session introduces climate adaptive opaque bui
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2022 年建筑性能分析会议和 SimBuild - 特刊
柔性光伏技术 本次会议涉及与大规模住宅建筑分析和使用经验数据验证建模结果有关的多个主题。第一位发言人介绍了一种大规模模拟方法,该方法评估了权衡对建筑围护结构性能的影响。第二位发言人介绍了一种使用住宅建筑经验数据验证预估能源使用结果的方法。接着,介绍了一种用于预测现有建筑围护结构特征的随机森林机器学习模型。最后一个报告评估了新型日光照明系统对典型办公楼热负荷和电负荷的影响。我们如何才能以最佳方式编排建筑系统中的众多活动部件,以实现最高的效率或效果?本次会议探讨了协调空间供暖系统的新集成、防火系统的优化以及广泛的新终端使用负荷概况数据库的开发和应用。本次会议是继 2021 年 ASHRAE BPAC 会议 "使用边际和平均排放量进行 30 年温室气体预测 "之后的又一次会议,在该会议上,我们试图通过采用电气化、现场可再生能源和电池存储等策略,优化办公建筑设计,以实现最低的运营碳排放。本次会议将重点讨论使用 NREL 的每小时寒武纪数据分析多户建筑的终生排放量,并使用相同的干预策略进行设计优化。我们将讨论 Cambium 数据的更新(现在包括上游甲烷)以及对之前结果的影响。我们还将分析机械系统的制冷剂及其范围 1 排放。城市规模和建筑群模拟面临的挑战是如何通过数量更少的模型来代表众多建筑。首先,作者分享了如何从公用事业部门提供的能源使用数据中推断建筑类型。然后,他们评估了常见的数据驱动黑箱模型在进行监管计算以支持政策制定方面的效果。接下来,演讲者确定了城市规模模型中与输入和结果相关的可比变量。以曼哈顿为例,分享了基于可再生能源的城市规划框架。最后,作者探讨了电池尺寸的优化控制如何促进能源获取的公平性。建筑物的性能不仅取决于建筑物的设计,还取决于建筑物的运营。在这方面,通过优化控制、自动故障检测和诊断以及机器学习来提高建筑物的运行性能非常重要。前三篇论文涉及输入数据的不确定性、传感器故障以及利用收集到的数据优化楼宇控制。第四篇论文研究了双燃料热泵控制,以节约住宅建筑的能源和成本。最后,第 5 篇论文介绍了热泵热水器的最佳需求响应控制。.具体地说,我们将回顾门窗和外墙 U 系数计算、围护结构热桥和热舒适度、机械系统对表面冷凝的影响,并回顾围护结构空气泄漏假设。研讨会包括案例研究,为每个主题提供实际案例。本次会议涉及多个主题,包括种植房的 CFD、建筑能源使用中的不公平现象、需求响应照明以及平衡 IAQ 和能源消耗的策略。第一个演讲介绍了一种利用 CFD 优化生长室设计以促进植物生长的方法。第二个演讲回顾了近期有关建筑能源使用不平等的研究,并就专业人士如何推动变革提供了指导。第三个演讲概述了通过需求响应信号将照明用作分布式能源的潜力。第四部分是对不同污染物清除策略的评估,以平衡室内空气质量和能源消耗。有了空调,对许多人来说,这意味着要多带一件毛衣,以防止起鸡皮疙瘩。冬季同样具有挑战性,寒冷气候下的人们在温度高达华氏 72 度的办公室里闷热难耐。ASHRAE 55 标准舒适区是否该更新了?应对气候变化的紧迫性、空间供暖和制冷的高能耗以及支持标准舒适区的有限研究基础都表明,也许是时候了。在本次辩论中,我们将听取该领域专家对这一决议的辩论。本场会议包括三篇论文,涉及不同但非常有趣的话题。首先,我们将通过 sDA 和 ASE 等指标来探讨办公楼的视觉舒适度和日照性能。
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来源期刊
Science and Technology for the Built Environment
Science and Technology for the Built Environment THERMODYNAMICSCONSTRUCTION & BUILDING TECH-CONSTRUCTION & BUILDING TECHNOLOGY
CiteScore
4.30
自引率
5.30%
发文量
78
期刊介绍: Science and Technology for the Built Environment (formerly HVAC&R Research) is ASHRAE’s archival research publication, offering comprehensive reporting of original research in science and technology related to the stationary and mobile built environment, including indoor environmental quality, thermodynamic and energy system dynamics, materials properties, refrigerants, renewable and traditional energy systems and related processes and concepts, integrated built environmental system design approaches and tools, simulation approaches and algorithms, building enclosure assemblies, and systems for minimizing and regulating space heating and cooling modes. The journal features review articles that critically assess existing literature and point out future research directions.
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Assessing the emissions reduction potential and economic feasibility of small-scale (<100 kWe) combined heat and power systems with thermal storage for multi-family residential applications in the United States Advanced co-simulation framework for assessing the interplay between occupant behaviors and demand flexibility in commercial buildings Ground heat exchanger design tool with RowWise placement of boreholes Socioeconomic factors influencing residential occupancy trends during and post COVID pandemic Buildings XV Conference Special Issue
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