Proceedings of the 5th Conference on Systems for Built Environments最新文献

The impact of occupancy resolution on the accuracy of building energy performance simulation 占用分辨率对建筑节能性能模拟精度的影响

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276784

Fisayo Caleb Sangogboye, K. Arendt, M. Jradi, C. Veje, M. Kjærgaard, B. Jørgensen

{"title":"The impact of occupancy resolution on the accuracy of building energy performance simulation","authors":"Fisayo Caleb Sangogboye, K. Arendt, M. Jradi, C. Veje, M. Kjærgaard, B. Jørgensen","doi":"10.1145/3276774.3276784","DOIUrl":"https://doi.org/10.1145/3276774.3276784","url":null,"abstract":"Using Building Performance Simulation (BPS) is nowadays a standard practice in building design, building operation and energy management, model predictive control, fault detection and diagnosis applications. One of the major factors affecting the energy performance of buildings is occupancy. In this study, we analyze the impact of different resolutions of occupancy count profiles on BPS accuracy. These occupancy count profiles are obtained from a large educational building. These profiles includes: (1) whole-building occupancy distributed evenly across building zones, (2) detailed zone-level occupancy estimated from stereo-vision cameras and WiFi sensors. Simulations were carried out using a detailed white-box model implemented in EnergyPlus and validated against ground truth data. A comparison of the ground truth data with obtained simulation results indicate that the increased resolution of occupancy data does not necessarily improve the overall building energy consumption accuracy, but improves only occupancy-related results, e.g. ventilation energy consumption.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Reputation system for ensuring data trustworthiness of crowdsourced weather stations: poster abstract 确保众包气象站数据可信度的信誉体系:海报摘要

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3281020

Alexander B. Chen, Madhur Behl, J. Goodall

{"title":"Reputation system for ensuring data trustworthiness of crowdsourced weather stations: poster abstract","authors":"Alexander B. Chen, Madhur Behl, J. Goodall","doi":"10.1145/3276774.3281020","DOIUrl":"https://doi.org/10.1145/3276774.3281020","url":null,"abstract":"Decision making in utilities, municipal, and energy companies depends on accurate and trustworthy weather information and predictions. Recently, crowdsourced personal weather stations (PWS) are being widely used to provide a higher spatial and temporal resolution of weather measurements. For instance, increasing attention is being paid to the potential of PWS data to improve flash-flood assessment and prediction. However, tools and methods to ensure the trustworthiness of the crowd-sourced data in real-time are largely missing. In this paper, we present a Reputation System for Crowdsourced Rainfall Networks (RSCRN) to assign trust scores to personal weather stations in a region. Using real PWS data from the Weather Underground service in the high flood risk region of Norfolk, Virginia, we validate the performance and robustness of the proposed RSCRN. The proposed method is able to converge to a confident trust score for a PWS within 10-20 observations of installation and can robustly respond to any discrepancies in the data due to failure or malicious intent. We benchmark the performance of the proposed method with high-fidelity and trusted hydrological sensor data, which are usually expensive to install. Collectively, the results indicate that the trust score derived from the RSCRN can reflect the collective measure of trustworthiness to the PWS, ensuring both useful and trustworthy data for modeling and decision-making in the future.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128181819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Smart lighting control using oblivious mobile sensors 使用遗忘移动传感器的智能照明控制

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276788

A. Karapetyan, S. Chau, Khaled M. Elbassioni, Majid Khonji, Emad Dababseh

{"title":"Smart lighting control using oblivious mobile sensors","authors":"A. Karapetyan, S. Chau, Khaled M. Elbassioni, Majid Khonji, Emad Dababseh","doi":"10.1145/3276774.3276788","DOIUrl":"https://doi.org/10.1145/3276774.3276788","url":null,"abstract":"The interplay of smart light bulbs (equipped with wireless controllable LEDs) and mobile sensors (embedded in wearable devices, such as smart watches and spectacles) enables a wide range of interactive lighting applications. One notable example is a smart lighting control system that provides automated illuminance management by wearable sensors close to end-users. In this paper, an energy-efficient smart lighting control system is developed using mobile light sensors for measuring local illuminance and assisting smart light bulbs to coordinate the brightness adjustments, while meeting users' heterogeneous lighting preferences. A pivotal challenge in these systems is attributed to the presence of oblivious mobile sensors hampered by the uncertainties in their relative locations to light bulbs, unknown indoor environment and time-varying background light sources. To cope with these hindrances, we devise an effective model-agnostic control algorithm inducing continuous adaptive coordination of oblivious mobile sensors without complete knowledge of dynamic operational environment and the associated parameters. The proposed algorithm is corroborated extensively under diverse settings and scenarios in a proof-of-concept smart lighting testbed featuring programmable light bulbs and smartphones, deployed as light sensing units. Lastly, we discuss some practical limitations of the proposed control approach, along with possible solutions, and conclude by outlining promising directions for future work.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"36 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127947187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Pible: battery-free mote for perpetual indoor BLE applications: demo abstract Pible:用于永久室内BLE应用的无电池mote:演示摘要

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3282823

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, L. Benini, Rajesh E. Gupta

引用次数: 14

Evaluation of the opportunities and limitations of using IFC models as source of building metadata 评估使用IFC模型作为建筑元数据来源的机会和局限性

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276790

Henrik Lange, Aslak Johansen, M. Kjærgaard

{"title":"Evaluation of the opportunities and limitations of using IFC models as source of building metadata","authors":"Henrik Lange, Aslak Johansen, M. Kjærgaard","doi":"10.1145/3276774.3276790","DOIUrl":"https://doi.org/10.1145/3276774.3276790","url":null,"abstract":"Structured information about the available components in each building is critical to build scalable and maintainable smart building applications. Recent work has proposed a solid knowledge base for what information is needed and how to represent the information as metadata models. However, populating metadata models with information is still an extensive process. Therefore, it is important to consider how other digital sources of information about a building can aid this process. Building information models, such as IFC, are used as a common digital representation throughout the design and construction of buildings. Therefore, IFC models hold the potential to provide many of the elements needed by a metadata model for a building. In this paper, we document to which extend this premise holds by quantifying the IFC model elements that can be used to populate a Brick metadata model, both according to the specification and the actual IFC models implementing that specification. Our results show that considering the specification 4.5% of the elements in an IFC model can map to an element of the Brick metadata model. However, when considering the data in actual IFC models of 20 buildings our results show that only 0.2% of the content can be mapped to Brick. We interview building industry professionals to put a context to those numbers.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114184594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system 辐射供暖系统深度强化学习控制的实际实现与评价

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276775

Zhiang Zhang, K. Lam

{"title":"Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system","authors":"Zhiang Zhang, K. Lam","doi":"10.1145/3276774.3276775","DOIUrl":"https://doi.org/10.1145/3276774.3276775","url":null,"abstract":"Deep reinforcement learning (DRL) has become a popular optimal control method in recent years. This is mainly because DRL has the potential to solve the optimal control problems with complex process dynamics, such as the optimal control for heating, ventilation, and air-conditioning (HVAC) systems. However, DRL control for HVAC systems has not been well studied. There is limited research on the real-life implementation and evaluation of this method. This study implements and deploys a DRL control method for a radiant heating system in a real-life office building for energy efficiency. A physics-based model for the heating system is first created and then calibrated using the measured building operation data. After that, the model is used as a simulator to train the DRL agent. The trained agent is then deployed in the actual heating system, and a smartphone App is used to let the occupants submit their thermal preferences to the DRL agent. It is found the DRL control method can save 16.6% to 18.2% heating demand compared to the old rule-based control logic over the three-month deployment period. However, several limitations of this study are found, such as the low participation rate of the App-based thermal preference feedback system, inefficient DRL training, and the requirement for a large amount of building data.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131788705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 81

Profiling urban activity hubs using transit smart card data 使用交通智能卡数据分析城市活动中心

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276778

R. Cardell-Oliver, Travis Povey

引用次数: 3

A design of data-driven energy-use profiling in residential buildings: poster abstract 数据驱动的住宅建筑能源使用概况设计:海报摘要

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3281021

Ardiansyah Musa Efendi, I. G. D. Nugraha, K. Ramli, Deokjai Choi

引用次数: 0

Plaster 石膏

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276794

Jason Koh, Dezhi Hong, Rajesh Gupta, K. Whitehouse, Hongning Wang, Yuvraj Agarwal

{"title":"Plaster","authors":"Jason Koh, Dezhi Hong, Rajesh Gupta, K. Whitehouse, Hongning Wang, Yuvraj Agarwal","doi":"10.1145/3276774.3276794","DOIUrl":"https://doi.org/10.1145/3276774.3276794","url":null,"abstract":"The recent advances in the automation of metadata normalization and the invention of a unified schema --- Brick --- alleviate the metadata normalization challenge for deploying portable applications across buildings. Yet, the lack of compatibility between existing metadata normalization methods precludes the possibility of comparing and combining them. While generic machine learning (ML) frameworks, such as MLJAR and OpenML, provide versatile interfaces for standard ML problems, they cannot easily accommodate the metadata normalization tasks for buildings due to the heterogeneity in the inference scope, type of data required as input, evaluation metric, and the building-specific human-in-the-loop learning procedure. We propose Plaster, an open and modular framework that incorporates existing advances in building metadata normalization. It provides unified programming interfaces for various types of learning methods for metadata normalization and defines standardized data models for building metadata and timeseries data. Thus, it enables the integration of different methods via a workflow, benchmarking of different methods via unified interfaces, and rapid prototyping of new algorithms. With Plaster, we 1) show three examples of the workflow integration, delivering better performance than individual algorithms, 2) benchmark/analyze five algorithms over five common buildings, and 3) exemplify the process of developing a new algorithm involving time series features. We believe Plaster will facilitate the development of new algorithms and expedite the adoption of standard metadata schema such as Brick, in order to enable seamless smart building applications in the future.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Pible: battery-free mote for perpetual indoor BLE applications Pible:无电池mote永久室内BLE应用

Proceedings of the 5th Conference on Systems for Built Environments Pub Date : 2018-11-07 DOI: 10.1145/3276774.3276785

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, L. Benini, Rajesh E. Gupta

{"title":"Pible: battery-free mote for perpetual indoor BLE applications","authors":"Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, L. Benini, Rajesh E. Gupta","doi":"10.1145/3276774.3276785","DOIUrl":"https://doi.org/10.1145/3276774.3276785","url":null,"abstract":"Smart building applications require a large-scale deployment of sensors distributed across the environment. Recent innovations in smart environments are driven by wireless networked sensors as they are easy to deploy. However, replacing these batteries at scale is a non-trivial, labor-intensive task. Energy harvesting has emerged as a potential solution to avoid battery replacement but requires compromises such as application specific design, simplified communication protocol or reduced quality of service. We explore the design space of battery-free sensor nodes using commercial off the shelf components, and present Pible: a Perpetual Indoor BLE sensor node that leverages ambient light and can support numerous smart building applications. We analyze node-lifetime, quality of service and light availability trade-offs and present a predictive algorithm that adapts to changing lighting conditions to maximize node lifetime and application quality of service. Using a 20 node, 15-day deployment in a real building under varying lighting conditions, we show feasible applications that can be implemented using Pible and the boundary conditions under which they can fail.","PeriodicalId":294697,"journal":{"name":"Proceedings of the 5th Conference on Systems for Built Environments","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34