Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners

Sakuma, Yuiko; Nishi, Hiroaki

doi:10.3390/en12152950

Cited by 4 publications

(3 citation statements)

References 39 publications

(48 reference statements)

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“…Assuming such barriers can be overcome, homes with these sensors may be able to gain more reliable estimates of the HPLC or HTC. Furthermore, if room temperature is available in multiple zones, some of the methods described above may be able to incorporate this information, too (Sakuma and Nishi 2019), overcoming the single-zone assumption and allowing for partial heating of properties.…”

Section: Dynamic Methodsmentioning

confidence: 99%

Creating Domestic Building Thermal Performance Ratings Using Smart Meter Data

Crawley¹,

McKenna²,

Gori³

et al. 2020

Buildings and Cities

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Energy performance certificates (EPCs) are ratings of domestic building energy performance mandated across the European Union. Their aim is to provide a reliable assessment of a building's energy performance whilst accounting for non-building effects such as weather and occupancy. Current rating methods, based on theoretical calculations, can introduce significant error from an inability to estimate real building performance. Other methods using real energy data cannot isolate building performance from other effects due to low data resolution. The installation of smart meters in large proportions of the housing stock in European Union member states presents an opportunity. Harnessing high-resolution energy data can create or inform building energy performance ratings with reduced error and at scale. This critical review explores the challenges and opportunities of using smart meter data in building energy ratings, focusing primarily on quantifying the thermal performance of the building and heating system. The research gaps in this emerging field are identified, including: demonstrating that the rating is truly independent of the behaviour of specific occupants; the additional data inputs that add most value in combination with smart meter data; and reducing uncertainty whilst limiting the complexity of the measurement and calculation. Practice Relevance Increasing evidence shows current EPCs are unreliable. This unreliability can affect their usefulness to householders and the provision of evidence for policy decisions. The incorporation of metrics constructed from smart meter data can provide a rating of building thermal performance that better reflects the actual performance of a dwelling. The potential advantages of incorporating smart meter data would improve the reliability of building energy ratings and quantify the rating uncertainty on a per dwelling basis, which would be useful for risk assessment to inform finance and retrofit decisions. Technical challenges are identified and explained for the inclusion of smart meter data. These are summarised as follows: ensuring that ratings remain independent of occupant behaviours/practices; and identifying which additional data inputs increase reliability and enable more informed retrofit decision-making whilst keeping the rating cost low and the calculation complexity tractable.

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Section: Dynamic Methodsmentioning

confidence: 99%

Creating Domestic Building Thermal Performance Ratings Using Smart Meter Data

Crawley¹,

McKenna²,

Gori³

et al. 2020

Buildings and Cities

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“…Bluetooth Low Energy (BLE) was created for expanding the use of Bluetooth to IoT applications, as it consumes less energy and is able to work with battery-powered elements. Many monitoring systems use this technology [42][43][44]. However, BLE requires the use of gateways for the transmission of the data in large networks, since it has a limited coverage.…”

Section: Communication Technologies For Iot Applicationsmentioning

confidence: 99%

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

et al. 2022

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This paper presents a scalable IoT architecture based on the edge–fog–cloud paradigm for monitoring the Indoor Environmental Quality (IEQ) parameters in public buildings. Nowadays, IEQ monitoring systems are becoming important for several reasons: (1) to ensure that temperature and humidity conditions are adequate, improving the comfort and productivity of the occupants; (2) to introduce actions to reduce energy consumption, contributing to achieving the Sustainable Development Goals (SDG); and (3) to guarantee the quality of the air—a key concern due to the COVID-19 worldwide pandemic. Two kinds of nodes compose the proposed architecture; these are the so-called: (1) smart IEQ sensor nodes, responsible for acquiring indoor environmental measures locally, and (2) the IEQ concentrators, responsible for collecting the data from smart sensor nodes distributed along the facilities. The IEQ concentrators are also responsible for configuring the acquisition system locally, logging the acquired local data, analyzing the information, and connecting to cloud applications. The presented architecture has been designed using low-cost open-source hardware and software—specifically, single board computers and microcontrollers such as Raspberry Pis and Arduino boards. WiFi and TCP/IP communication technologies were selected, since they are typically available in corporative buildings, benefiting from already available communication infrastructures. The application layer was implemented with MQTT. A prototype was built and deployed at the Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), using the existing network infrastructure. This prototype allowed for collecting data within different academic scenarios. Finally, a smart sensor node was designed including low-cost sensors to measure temperature, humidity, eCO2, and VOC.

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“…Busca a eficiência energética e o uso de energias renováveis (AHMED; KANG; KIM, 2015). A análise do desempenho energético é observada no PB com foco no consumo de energia (VARDAKAS; ZORBA; VERIKOUKIS, 2014) e no conforto térmico (KEMEL; MEMARI; BEPAT, 2017;SAKUMA;NISHI, 2019).…”

Section: Mapa Da Literaturaunclassified

Avaliação de desempenho de smart home: um mapa da literatura

Nascimento

Esslin

2021

P&P

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O uso de smart home é um tema emergente que demanda criação de estratégias para atender às necessidades dos usuários. As ferramentas da avaliação de desempenho podem ser um auxílio nesse processo. Assim, o objetivo deste artigo é identificar as características dos estudos na área de avaliação de desempenho de smart home. Foi utilizado o ProKnow-C como instrumento de intervenção metodológica que orientou a seleção de 30 artigos selecionados nas bases de dados Scopus e Web of Science. Com base no portfólio bibliográfico selecionado: (i) a análise bibliométrica permitiu a constatação da existência de discussões de características emergentes em três períodos temporais e (ii) os mapas da literatura construídos sintetizam a abordagem de smart home em termos da tecnologia, serviços e usuários. A análise sistemática possibilitou a direção de novos estudos para investigar a lacuna existente na literatura relacionada à gestão da avaliação de desempenho de smart home.

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Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners

Cited by 4 publications

References 39 publications

Creating Domestic Building Thermal Performance Ratings Using Smart Meter Data

Creating Domestic Building Thermal Performance Ratings Using Smart Meter Data

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

Avaliação de desempenho de smart home: um mapa da literatura

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