A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system

2020 ◽  
Vol 263 ◽  
pp. 114638 ◽  
Author(s):  
Xing Lu ◽  
Zheng O'Neill ◽  
Yanfei Li ◽  
Fuxin Niu
Author(s):  
Jerzy Sowa ◽  
Maciej Mijakowski

A humidity-sensitive demand-controlled ventilation system is known for many years. It has been developed and commonly applied in regions with an oceanic climate. Some attempts were made to introduce this solution in Poland in a much severe continental climate. The article evaluates this system's performance and energy consumption applied in an 8-floor multi-unit residential building, virtual reference building described by the National Energy Conservation Agency NAPE, Poland. The simulations using the computer program CONTAM were performed for the whole hating season for Warsaw's climate. Besides passive stack ventilation that worked as a reference, two versions of humidity-sensitive demand-controlled ventilation were checked. The difference between them lies in applying the additional roof fans that convert the system to hybrid. The study confirmed that the application of demand-controlled ventilation in multi-unit residential buildings in a continental climate with warm summer (Dfb) leads to significant energy savings. However, the efforts to ensure acceptable indoor air quality require hybrid ventilation, which reduces the energy benefits. It is especially visible when primary energy use is analyzed.


Energy ◽  
2019 ◽  
Vol 172 ◽  
pp. 1053-1065 ◽  
Author(s):  
Gang Jing ◽  
Wenjian Cai ◽  
Xin Zhang ◽  
Can Cui ◽  
Xiaohong Yin ◽  
...  

2013 ◽  
Vol 805-806 ◽  
pp. 1558-1561
Author(s):  
Zhen Hua Bao

Reducing the amount of outdoor air entering a space has distinct advantages for ventilation system. However, it often brings the consequence of depressing indoor air quality (IAQ). For laboratories, on average, the laboratory IAQ conditions of low TVOCs and low particulates permitted the substantial reduction of minimum air change rates. With many modern laboratories operating with fewer fume hoods and more energy-efficient equipment and lighting, the labs minimum air exchange rate requirement is often the dominant energy use driver. Current codes or specifications for laboratories ventilation system are the most straight forward approaches. They do not optimize a laboratory's ventilation rate, or verify whether the intended levels of safety and comfort have been achieved by the labs design. Demand controlled ventilation (DCV) can also avoid over-ventilation by providing outdoor air rates based on actual occupancy rather than on design occupancy or full occupancy.


2020 ◽  
Vol 7 (1) ◽  
pp. 80
Author(s):  
Andi Hildayanti ◽  
M Sya'Rani Machrizzandi

Abstrak_ Perkembangan teknologi meningkat pesat seiring berjalannya waktu. Mulai dari mobil pintar yang bisa berjalan sendiri ke berbagai tujuan tanpa pengemudi, hingga perangkat rumah pintar yang bisa secara otomatis bersuara mengingatkan untuk melakukan aktifitas sesuai jadwal. Semua teknologi terbaru ini adalah bagian dari Internet of Things. Internet of Things (IoT) adalah konsep dimana objek memiliki kemampuan untuk mentransfer data melalui jaringan tanpa memerlukan interaksi dari manusia ke manusia atau dari manusia ke komputer. IoT adalah struktur dimana, orang diberi identitas eksklusif dan kemampuan untuk memindahkan data melalui jaringan tanpa memerlukan dua arah antara manusia ke manusia, sumber ke tujuan atau interaksi antara manusia dan komputer. Jadi, penelitian ini bertujuan untuk mengidentifikasi dan menjelaskan penerapan sistem IoT dalam mendukung program smart building dan lingkungan yang terintegrasi. Penelitian ini dianalisis secara deskriptif kualitatif dengan pendekatan studi kasus untuk mengeksplorasi manfaat teknologi IoT. Hasil penelitian ini menunjukkan dengan menghubungkan sistem bangunan yang berbeda dengan sensor dan perangkat IoT yang terhubung ke jaringan, aplikasi bangunan pintar untuk lingkungan perumahan pintar, dan ekosistem dapat terintegrasi menggunakan data lintas operasi, memberikan visibilitas yang lebih besar, wawasan cepat, dan pengalaman penghuni yang lebih baik. Teknologi IoT dapat bekerja dengan baik jika interaksi antara perangkat IoT dengan manusia atau pengguna harus berjalan dengan baik, karena IoT tidak akan berfungsi secara optimal jika pengguna tidak dapat mengoperasikannya dengan baik.Kata kunci: Internet of Things (IoT); Bangunan Pintar; Lingkungan Perumahan Pintar; Ekosistem Terpadu, Sistem Bangunan. Abstract_ Technological development increases rapidly over time. Starting from smart cars that can walk alone to various destinations without a human driver, to smart home devices that can automatically remind the voice to do activities on schedule. All of this latest technology is part of the Internet of Things. Internet of Things (IoT) is a concept where objects can transfer data through networks without requiring interaction from human to human or from human to computer. IoT is a structure in which objects, people are given an exclusive identity and the ability to move data through networks without requiring two directions between humans to humans, that is, sources to destinations or interactions between humans and computers. So, this research aims to identify and explain the application of the IoT system in support of smart building programs and integrated environments. This study was analyzed descriptively qualitative with a case study approach to explore the benefits of IoT technology. The results of this study indicate by connecting disparate building systems with networked IoT sensors and devices, smart building applications for smart housing environments and integrated ecosystems can use data across operations, providing greater visibility, valuable insights, and better occupant experiences. IoT technology can work well if the interaction between IoT devices with humans or users must go well because the function of IoT will not work optimally if the user cannot operate it properly.Keywords: Internet of Things (IoT); Smart Building; Smart Housing Environment; Integrated Ecosystems, Building Systems.


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