scholarly journals Dynamic data processing for building energy consumption

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Farid Sartipi ◽  
Keyword(s):  
Energy Consumption ◽  
Local Governments ◽  
Study Data ◽  
Commercial Building ◽  
Air Conditioners ◽  
Smart Building ◽  
Building Management ◽  
Using Data ◽  
The Moment ◽  
The Given

With the growing attention to smart buildings, local governments are seeking practical ways to optimize the energy consumption of commercial buildings. An ideal smart building is capable of monitoring its own energy consumption and adjusting the operation of electric devices, being lighting and air conditioners, based on the occupant behaviour. In this study, data had been obtained from the monitoring sensors in a commercial building located in the heart of Sydney from 2013 until 2020 on a 15-minute time intervals. The data derivation and analysis are intrinsically static at the moment which makes it difficult for building management to make instantaneous decision regarding the measures to be taken for a lower energy consumption. Using data analysis and visualization tools in Tableau, this study provides detailed insights about the trends in energy consumption in the given building. The outcomes facilitate the decision making for building management and can be seen as a milestone towards a dynamic optimization protocol in a bigger picture which is introduced in the second part of this study.

scholarly journals Data-Driven Modelling of Smart Building Ventilation Subsystem

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Grigore Stamatescu ◽  
Iulia Stamatescu ◽  
Nicoleta Arghira ◽  
Ioana Fagarasan
Keyword(s):  
Data Mining ◽  
Data Streams ◽  
Data Driven ◽  
Support Vector ◽  
Commercial Building ◽  
Monitoring And Control ◽  
Smart Building ◽  
Building Ventilation ◽  
Using Data ◽  
Rich Data

Considering the advances in building monitoring and control through networks of interconnected devices, effective handling of the associated rich data streams is becoming an important challenge. In many situations, the application of conventional system identification or approximate grey-box models, partly theoretic and partly data driven, is either unfeasible or unsuitable. The paper discusses and illustrates an application of black-box modelling achieved using data mining techniques with the purpose of smart building ventilation subsystem control. We present the implementation and evaluation of a data mining methodology on collected data from over one year of operation. The case study is carried out on four air handling units of a modern campus building for preliminary decision support for facility managers. The data processing and learning framework is based on two steps: raw data streams are compressed using the Symbolic Aggregate Approximation method, followed by the resulting segments being input into a Support Vector Machine algorithm. The results are useful for deriving the behaviour of each equipment in various modi of operation and can be built upon for fault detection or energy efficiency applications. Challenges related to online operation within a commercial Building Management System are also discussed as the approach shows promise for deployment.

scholarly journals An Ontology-Based Framework for Building Energy Management with IoT

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 485 ◽  
Author(s):  
Clement Lork ◽  
Vishal Choudhary ◽  
Naveed Ul Hassan ◽  
Wayes Tushar ◽  
Chau Yuen ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management System ◽  
Energy Savings ◽  
Environmental Parameters ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Commercial Building ◽  
Building Energy Management ◽  
Building Management

In this paper, we develop an ontology-based framework for energy management in buildings. We divide the functional architecture of a building energy management system into three interconnected modules that include building management system (BMS), benchmarking (BMK), and evaluation & control (ENC) modules. The BMS module is responsible for measuring several useful environmental parameters, as well as real-time energy consumption of the building. The BMK module provides the necessary information required to understand the context and cause of building energy efficiency or inefficiency, and also the information which can further differentiate normal and abnormal energy consumption in different scenarios. The ENC module evaluates all the information coming from BMS and BMK modules, the information is contextualized, and finally the cause of energy inefficiency/abnormality and mitigating control actions are determined. Methodology to design appropriate ontology and inference rules for various modules is also discussed. With the help of actual data obtained from three different rooms in a commercial building in Singapore, a case study is developed to demonstrate the application and advantages of the proposed framework. By mitigating the appropriate cause of abnormal inefficiency, we can achieve 5.7%, 11.8% and 8.7% energy savings in Room 1, Room 2, and Room 3 respectively, while creating minimum inconvenience for the users.

A Field Survey of Occupancy and Air-Conditioner Use Patterns in Open Plan Offices

2010 ◽  
Vol 20 (1) ◽  
pp. 137-147 ◽  
Author(s):  
Geun Young Yun ◽  
Hyo Joo Kong ◽  
Jeong Tai Kim
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Air Cooling ◽  
Air Conditioner ◽  
Air Conditioners ◽  
Use Patterns ◽  
Building Management ◽  
Simulation Based ◽  
Open Plan ◽  
Survey Results

This paper reports the survey results from a field monitoring study of office occupancy and air-conditioner use pattern of an office building in Seoul, Korea, from 20 July to 29 September 2009. The survey has an aim to reveal the relationship between the indoor environment conditions and occupancy; and the use patterns of air-conditioners and energy consumption in offices. The results showed that the average occupied time of the investigated offices was 15.48 h per day for normal weekdays, which was longer than expected occupancy schedules assumed for offices for the design prediction of building energy consumption. This study also presents the hourly profiles of air-conditioner use and evaluates the effect of longer occupancy period on energy consumption for air cooling in open-plan offices in Korea. The findings of this study could contribute to inform building energy simulation based on realistic office occupancy profile provided by the survey, which would therefore inform better operation of air-conditioners and more efficient use of energy in building management.

scholarly journals Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1038 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Minh-Quang Tran ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Deep Learning ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Detection System ◽  
The Internet ◽  
People Detection ◽  
Air Conditioners ◽  
Smart Building ◽  
Iot Platform

Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. The IoT enables the sharing of signals between devices and machines via the internet. Besides, the IoT system enables the utilization of artificial intelligence (AI) techniques to manage and control the signals between different machines based on intelligence decisions. The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area. Accordingly, the operation of the air conditioners could be optimally managed in a smart building. Furthermore, the number of persons and the status of the air conditioners are published via the internet to the dashboard of the IoT platform. The proposed system enhances decision making about energy consumption. To affirm the efficacy and effectiveness of the proposed approach, intensive test scenarios are simulated in a specific smart building considering the existence of air conditioners. The simulation results emphasize that the proposed deep learning-based recognition algorithm can accurately detect the number of persons in the specified area, thanks to its ability to model highly non-linear relationships in data. The detection status can also be successfully published on the dashboard of the IoT platform. Another vital application of the proposed promising approach is in the remote management of diverse controllable devices.

scholarly journals ENHANCING THE INTEGRATION OF SMART FEATURES IN COMMERCIAL BUILDINGS TO CONSERVE ENERGY: A FRAMEWORK

2021 ◽  
Author(s):  
R.A.A. Dilogini ◽  
◽  
P. Sridarran ◽  
G. Mahedrarajah ◽  
◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sri Lanka ◽  
New Technologies ◽  
Computer Software ◽  
Vital Role ◽  
Study Data ◽  
Commercial Buildings ◽  
Design Stage ◽  
Sri Lankan ◽  
Commercial Building

The commercial building sector is classified as a highly energy-intensive category in Sri Lanka. Building practitioners adopt energy-saving mechanisms to minimise energy consumption. However, the integration of smart features plays a vital role in conserving energy in commercial buildings. However, Sri Lanka lags behind in the adoption of smart features when compared to other countries. To address this problem, this study aimed to develop a framework for the better integration of smart features to minimise the energy consumption of Sri Lankan commercial buildings. This research is carried out initially by literature review, and then research has been followed by case study. Data collected is analysed through manual content analysis and computer software with the aid of NVivo 12 software. Findings revealed that smart features are the new technologies evolved in commercial buildings to conserve energy. However, building practitioners faced several issues in integrating these features within the existing buildings. Limited knowledge of management, building owners and operators, high initial cost, and lack of workforce skill were identified as main barriers to integrating smart features in Sri Lankan commercial buildings. Moreover, this research identified the possible mechanisms for the better integration of smart features in commercial buildings. For better integration, it is required to plan it at the initial design stage of buildings, select reliable contractors, and raise awareness of management and client about smart features. Finally, a framework was developed for the better integration of smart features to minimise the energy consumption of Sri Lankan commercial buildings.

scholarly journals MANAGEMENT OF APARTMENT BUILDINGS SITUATION IN UKRAINE

2021 ◽  
Author(s):  
Stanislav Kiris
Keyword(s):  
Local Governments ◽  
Apartment Building ◽  
Apartment Buildings ◽  
Current Trends ◽  
Negative Factor ◽  
Building Management ◽  
The Face ◽  
The Subject ◽  
The Given ◽  
Management Services

The subject of the article is the situation of housing and communal services of Ukraine – an apartment building management services. There legislative base on the given question, its dynamics and prospects of development are analyzed. These are the main problems that have been going on since the beginning of the housing and communal reform. The main characteristics of the entities that can manage apartment buildings in Ukraine are given. Also studied their influence on the development of competition in this market. The number and dynamics of apartment buildings that have chosen certain forms of management are determined. The statistical data which show indicators of management of apartment houses in Ukraine in the context of regions of Ukraine are resulted. In general, the share of apartment buildings in Ukraine, the co-owners of which have not chosen any of the forms of management, is decreasing, but the share of such buildings in the overall structure is too large. The current trends in the industry in the coming years are indicated. Peculiarities of the manager's appointment based on the results of competitive selection are considered. The main indicators of payment discipline for apartment building management services in Ukraine are analyzed. The payment discipline is also a negative factor on the management of apartment buildings in Ukraine. In particular, it is worth noting the increase in 2020 in the amount of indebtedness of the population for all types of utility payments, except for payments for the management of apartment buildings. It should be noted that previously the problem of registration of ownership and maintenance of adjacent territories was significant - many condominiums, having a significant adjacent territory, could not register the ownership of it, because it was owned by local governments. Therefore, the maintenance of these territories and their development, despite the needs of co-owners, were carried out on a final basis. However, a significant problem with the implementation of housing and communal reform in Ukraine is that the vast majority of apartment buildings have not chosen any form of management, so in the face of changes in legislation on a competitive basis, local self-government will appoint managers.

Energy Consumption Pattern of Residential Buildings: Case Study of Residential Area in Batu Pahat, Johor

2020 ◽  
Vol 12 (9) ◽  
Author(s):  
Junaidah Jailani ◽  
◽  
Norsyalifa Mohamad ◽  
Muhammad Amirul Omar ◽  
Hauashdh Ali ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Area ◽  
Consumption Pattern ◽  
Air Conditioners ◽  
Residential Sector ◽  
Waste Energy ◽  
Main Factor ◽  
Energy Consumption Pattern

According to the National Energy Balance report released by the Energy Commission of Malaysia in 2016, the residential sector uses 21.6% of the total energy in Malaysia. Residents waste energy through inefficient energy consumption and a lack of awareness. Building occupants are considered the main factor that influences energy consumption in buildings, and to change energy consumption on an overall scale, it is crucial to change individual behaviour. Therefore, this study focused on analysing the energy consumption pattern and the behaviour of consumers towards energy consumption in their homes in the residential area of Batu Pahat, Johor. A self-administrated questionnaire approach was employed in this study. The findings of this study showed that the excessive use of air conditioners was a significant factor in the increasing electricity bills of homeowners as well as the inefficient use of electrical appliances. Also, this study determined the effect of awareness on consumer behaviour. This study recommends ways to help minimise energy consumption in the residential area.

JUSTICE AND SOCIAL CHANGE FOR INCLUSIVE EDUCATION IN INDONESIA AND ASEAN FOR DISABLED PERSONS (STUDY ON PEOPLE AFFECTED BY LEPROSY)

2017 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Nuah Perdamenta Tarigan ◽  
Christian Siregar ◽  
Simon Mangatur Tampubolon
Keyword(s):  
Inclusive Education ◽  
Local Governments ◽  
Disabled Persons ◽  
Equal Rights ◽  
Central Java ◽  
The People ◽  
Asean Countries ◽  
The Government ◽  
The Moment ◽  
The Right

Justice that has not existed and is apparent among the disabilities in Indonesia is very large and spread in the archipelago is very large, making the issue of equality is a very important thing especially with the publication of the Disability Act No. 8 of 2016 at the beginning of that year. Only a few provinces that understand properly and well on open and potential issues and issues will affect other areas including the increasingly growing number of elderly people in Indonesia due to the increasing welfare of the people. The government of DKI Jakarta, including the most concerned with disability, from the beginning has set a bold step to defend things related to disability, including local governments in Solo, Bali, Makassar and several other areas. Leprosy belonging to the disability community has a very tough marginalization, the disability that arises from leprosy quite a lot, reaches ten percent more and covers the poor areas of Indonesia, such as Nusa Tenggara Timur, Papua, South Sulawesi Provinces and even East Java and West Java and Central Java Provinces. If we compare again with the ASEAN countries we also do not miss the moment in ratifying the CRPD (Convention of Rights for People with Disability) into the Law of Disability No. 8 of 2016 which, although already published but still get rejections in some sections because do not provide proper empowerment and rights equality. The struggle is long and must be continued to build equal rights in all areas, not only health and welfare but also in the right of the right to receive continuous inclusive education.

Sign in / Sign up

Export Citation Format

Share Document