Building automation for increased energy efficiency in buildings

Zucker, Gerhard; Ferhatbegovic, Tarik; Bruckner, Dietmar

doi:10.1109/isie.2012.6237258

Cited by 9 publications

(6 citation statements)

References 10 publications

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“…Several authors have studied the topic of energy efficiency in buildings using different methodologies. In [3], the implementation of automation systems in buildings, more specifically, HVAC. The obtaining greater energy efficiency of the system to quickly estimate an approximation of the heat storage parameters of buildings.…”

Section: Introductionmentioning

confidence: 99%

“…For user safety, advanced alarm systems are designed to help occupants in emergencies such as earthquakes or fires. Energy efficiency is achieved through intelligent HVAC control, as mentioned in [3]. Authors like [5] study the topic at the building construction aspects, the use of insulating materials, a modified construction methodology, and different architectural techniques.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of PV microgeneration systems and tariffs management on the energy efficiency of service buildings

Baptista¹,

Portugal²,

Sequeira³

et al. 2021

REPQJ

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The buildings' energy consumption increasing requires solutions to improve their energy efficiency, thus reducing the electricity bill's associated costs. This paper aims to study the load profiles of a service building and its optimization to reduce the costs related to electricity consumption. The electrical load profiles are analyzed, and the electrical equipment and its consumption are characterized. Moreover, to increase energy efficiency and reduce energy costs, a renewable energy system based on photovoltaic panels is sized and integrated into the building. The analysis of the building's consumption profiles allowed the PV system's dimensioning to eliminate power peaks, enabling a reduction in the contracted power. The results demonstrate the effectiveness of the proposed solution, resulting in a reduction of the electricity bill.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of PV microgeneration systems and tariffs management on the energy efficiency of service buildings

Baptista¹,

Portugal²,

Sequeira³

et al. 2021

REPQJ

View full text Add to dashboard Cite

show abstract

“…Thus, in addition to improving building energy efficiency, BEMSs should maintain a comfortable indoor environment [12]. This is achieved by closely monitoring factors such as temperature, humidity and CO 2 levels [13] inside the building and maintaining them within specified limits.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, many buildings lack the instrumentation required for high resolution state awareness. Further, commissioning of the sensors and control system in buildings is done at the building design phase [12] and can be suboptimal if changes to floor-plans are made. Hardwired sensor networks are difficult to maintain and are inflexible [16] [17].…”

Section: Introductionmentioning

confidence: 99%

Neural Network based downscaling of Building Energy Management System data

Amarasinghe

Wijayasekara

Manic

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Building Energy Management Systems (BEMSs) are responsible for maintaining indoor environment by controlling Heating Ventilation and Air Conditioning (HVAC) and lighting systems in buildings. Buildings worldwide account for a significant portion of world energy consumption. Thus, increasing building energy efficiency through BEMSs can result in substantial financial savings. In addition, BEMSs can significantly impact the productivity of occupants by maintaining a comfortable environment. To increase efficiency and maintain comfort, modern BEMSs rely on a large array of sensors inside the building that provide detailed data about the building state. However, due to various reasons, buildings frequently lack sufficient number of sensors, resulting in a suboptimal state awareness. In such cases, a cost effective method for increasing state awareness is needed. Therefore, this paper presents a novel method for increasing state awareness through increasing spatial resolution of data by means of data downscaling. The presented method estimates the state of occupant zones using state data gathered at floor level using Artificial Neural Networks (ANN). The presented method was tested on a real-world CO 2 dataset, and compared to a time based estimation of CO 2 concentration. The downscaling method was shown to be capable of consistently producing accurate estimates while being more accurate than time based estimations.

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“…While implementing actuation components in such buildings would likely be the next step after the deployment of sensors and machine learning tools, it would also mean a substantial financial commitment to AEC stakeholders. Nevertheless, it has been reported that building automation does indicate a substantial energy savings [15,53], thus potentially making expenses costeffective, even ignoring the benefits that such systems could bring in risk/disaster management and anomaly detection. 5.3.2 Data Analysis, Prediction and Actuation.…”

mentioning

confidence: 99%

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

Brazauskas¹,

Verma²,

Safronov³

et al. 2021

Preprint

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Legacy Building Information Modelling (BIM) systems are not designed to process the high-volume, high-velocity data emitted by in-building Internet-of-Things (IoT) sensors. Historical lack of consideration for the real-time nature of such data means that outputs from such BIM systems typically lack the timeliness necessary for enacting decisions as a result of patterns emerging in the sensor data. Similarly, as sensors are increasingly deployed in buildings, antiquated Building Management Systems (BMSs) struggle to maintain functionality as interoperability challenges increase. In combination these motivate the need to fill an important gap in smart buildings research, to enable faster adoption of these technologies, by combining BIM, BMS and sensor data. This paper describes the data architecture of the Adaptive City Platform, designed to address these combined requirements by enabling integrated BIM and real-time sensor data analysis across both time and space. CCS CONCEPTS• Computer systems organization → Real-time system architecture; • Information systems → Information integration.

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Building automation for increased energy efficiency in buildings

Cited by 9 publications

References 10 publications

Evaluation of PV microgeneration systems and tariffs management on the energy efficiency of service buildings

Evaluation of PV microgeneration systems and tariffs management on the energy efficiency of service buildings

Neural Network based downscaling of Building Energy Management System data

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

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