Micro-climatization and real-time digitalization effects on energy efficiency based on user behavior

Habibi, Shahryar

doi:10.1016/j.buildenv.2016.12.039

Cited by 37 publications

(29 citation statements)

References 20 publications

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“…As a consequence, coming up with such unexpected results (as far as this study came up with), the reasons can be investigated within the stated factors in general and for any case study in particular. Accordingly, the application of the MFOM in each and every case do not lead to the most optimal results without considering the factors discussed above, since thermal comfort (as one of the main evaluation criteria in this model) is in direct connection with user behavior [73][74][75], building characteristics and construction details [76].…”

Section: Discussionmentioning

confidence: 99%

A Model for External Walls Selection in Hot and Humid Climates

Boostani¹,

Hançer²

2018

Sustainability

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Literature review shows that, to date, no local based method has been developed for evaluation of optimal wall constructions in a hot and humid climate from architects’ point of view. Hence, this study aims at developing a multi factor optimization model (MFOM) for comparative selection of opaque wall construction in a hot and humid climate based on four main evaluation criterion namely energy efficiency, thermal comfort, moisture control, and cost efficiency. In order to indicate the application of the MFOM, a case study methodology was employed in Kish Island, Iran, which is characterized by a hot and humid climate. Both qualitative and quantitative research methods were employed in the research process including literature and field survey, computer simulation, thermal, moisture and economic analysis finalized with a simple multi attribute rating technique (SMART) grading the outputs for final assessment. According to the results, it can be deducted that the application of the MFOM has the potential to save cost and energy, improve the thermal quality of the indoor environment while predicting the possible construction hazards posed by condensation in hot and humid climates.

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Section: Discussionmentioning

confidence: 99%

A Model for External Walls Selection in Hot and Humid Climates

Boostani¹,

Hançer²

2018

Sustainability

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“…Li et al [9] developed a low-cost realtime data logger with PM sensor, an Arduino Nano ATmega328, and an XBee radio to measure particulate matter. Habibi et al [10] developed a smart system prototype based on Arduino microcontroller which can obtain and monitor environmental data (light, sound pressure/mic, temperature, and humidity) in realtime. Jin [11] developed a similar system to monitor IEQ.…”

Section: Literature Reviewmentioning

confidence: 99%

The Design of Building Management Platform Based on Cloud Computing and Low-Cost Devices

Huang¹,

Chiu²,

Chan³

2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Indoor environment monitor and control are important aspects of reducing building energy consumption and maintaining occupants' visual and thermal comforts. Previous research showed that the lots of buildings were not able to provide designed service level in the daily operation and the feedback from occupants showed that the predetermined service level sometimes did not match occupants' desire. However, most of existing buildings and residential buildings did not have building management systems that can systematically monitor the indoor environment, collect occupants' feedback, and fine-tune built-in control logic when the occupants' needs could not be met. An easy-to-build and easy-to-use build management system can help researchers, engineers, and occupants themselves to identify the issue. The goal of this study was to develop a building management platform with the functions of indoor environment data collection (temperature, relative humidity, solar radiation, etc.), remote control (air conditioner, window, shading), occupants' feedback collection (set point, status of building components, etc.), and user interface for retrieving the data and modifying control logic. The platform was developed using Arduino-based and Raspberry Pi-based microcontroller board, low-cost sensors, 3D printing technology, and cloud computing technology. The stored data can serve for personal behavior/comfort analysis, components efficiency analysis, and advanced control logic development. This last part of this paper demonstrated the ability of the developed platform and exhibited the potential application. In the end, we provided further discussion about the potential challenges we might face when developing building management systems in other existing spaces/buildings.

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“…[63] presented a methodology for BIM real time power monitoring by incorporating real-time power consumption and potential energy saving data with BIM model with the help of an interfacing software. [64] developed a novel smart micro scale energy management system by combining smart sensor methods and BIM, that managing system based on user behavior like interaction between users, indoor comfort, and outdoor atmospheric deviations with the help of multi-objective optimization process. Chen et.al [65] has discussed in 2016 the different methods for developing smart objects.…”

Section: Bim and Gis Integration For Power System Planningmentioning

confidence: 99%

Applications of Building Information Modeling in Electrical Systems Design

Farooq¹,

Sharma²,

R³

2017

JESTR

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Building Information Modelling (BIM) is an object-oriented approach that can virtually create a 3D digital model of a building capable of doing realistic engineering analysis well before the construction begins. BIM offers sophisticated tools for electrical trade design and estimation. This paper primarily investigates with supportive case studies, the potential applications of BIM in electrical system design and analysis. Further, its energy analysis, geographical scale significance and smart built environmental applications are also investigated. This research emphasizes on the deployment of BIM at both static and dynamic level for electrical trade such that BIM electrical system design can be made more attractive and more cost effective. The preliminary investigations indicate that seamless integration of semantic information system of BIM with Geographical Information System (GIS) can be very useful for electrical grid optimization and city energy modelling.

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Micro-climatization and real-time digitalization effects on energy efficiency based on user behavior

Cited by 37 publications

References 20 publications

A Model for External Walls Selection in Hot and Humid Climates

A Model for External Walls Selection in Hot and Humid Climates

The Design of Building Management Platform Based on Cloud Computing and Low-Cost Devices

Applications of Building Information Modeling in Electrical Systems Design

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