scholarly journals Energy Profiling for Residential College Buildings

2021 ◽  
Vol 81 (2) ◽  
pp. 139-145
Author(s):  
Abdullahi Mohammed Usman ◽  
Akmal Nizam Mohammed ◽  
Mohd Faizal Mohideen ◽  
Mas Fawzi Mohd Ali ◽  
Kamil Abdullah ◽  
...  
Keyword(s):  
Energy Intensity ◽  
Electrical Energy ◽  
Building Energy ◽  
Public University ◽  
Energy Index ◽  
Energy Monitoring ◽  
Residential College ◽  
Energy Profiling

The present study aims to provide insight on energy profiling of a residential college in public university. The study involves electrical energy monitoring for six months from the month of March until August 2017. The data utilized to derive the average monthly consumption for both semester period and semester break. The consumption during semester break has been recorded to increase as much as 88% from the consumption during the semester break. The building energy index of the residential college has been recorded to be at 22.90 kWh/m2/year meanwhile the energy intensity was recorded to be at 1,932.08 kWh/occupant/year.

scholarly journals Proposing 3D Thermal Technology for Heritage Building Energy Monitoring

2021 ◽  
Vol 13 (8) ◽  
pp. 1537
Author(s):  
Antonio Adán ◽  
Víctor Pérez ◽  
José-Luis Vivancos ◽  
Carolina Aparicio-Fernández ◽  
Samuel A. Prieto
Keyword(s):  
Computer Vision ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Building Energy ◽  
Energy Monitoring ◽  
3D Computer Vision ◽  
Building Monitoring ◽  
Heritage Buildings ◽  
Heritage Building ◽  
Definition Of

The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In this paper, however, we present an alternative to the aforementioned technologies in the form of new sensors based on 3D computer vision that are able to record dense thermal information in a three-dimensional space. These thermal computer vision-based technologies (3D-TCV) entail a revision and updating of the current building energy monitoring methodologies. This paper provides a detailed definition of the most significant aspects of this new extended methodology and presents a case study showing the potential of 3D-TCV techniques and how they may complement current techniques. The results obtained lead us to believe that 3D computer vision can provide the field of building monitoring with a decisive boost, particularly in the case of heritage buildings.

scholarly journals A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Real Time ◽  
Difference Method ◽  
Building Energy ◽  
Energy Monitoring ◽  
Order Difference ◽  
Energy Data ◽  
First Order ◽  
Novel Method

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

The Use of BIM Technology in Analyzing Building Energy and EconomicFeasibility of Solar Panel

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Muhammadiya Rifqi ◽  
Heni Fitriani ◽  
Puteri Kusuma Wardhani
Keyword(s):  
Power Plants ◽  
Energy Use ◽  
Electrical Energy ◽  
Building Energy ◽  
Economic Feasibility ◽  
Information Modeling ◽  
Office Buildings ◽  
Design Stage ◽  
Solar Panels ◽  
Building Information

Buildings contribute more than 40% of world energy consumption, so it is feared that it will cause energy problems in thefuture, especially in the construction sector. One solution to reducing this problem is by analyzing energy use at the initialdesign stage and utilizing solar energy as one of the solar power plants (PLTS) in office buildings. To analyze the use ofenergy in buildings, Building Information Modeling (BIM) was used. The purpose of this research is to analyze the annualenergy level of office buildings in Palembang using BIM software, namely Autodesk Revit. The number of solar panels aswell as the amount of energy were also identified using web-based software (HelioScope) resulting the economic feasibilityas indicated by the installation of solar panels as a component of PV mini-grid. The results showed that the use of BIMtechnology in analyzing building energy can provide a detailed description of the building model at the design stage. Revitanalysis indicates that the building consumed electrical energy per year for about 3,647,713 kWh with a roof area of 1,657m2. In addition, based on the HelioScope analysis, the use of renewable energy from the installation of PLTS was 152,900kWh/year. Meanwhile, for economic feasibility analysis, the installation of PLTS in office buildings can provide a positive NetPresent Value (NPV), indicating a feasible project.

scholarly journals An optimised system for energy monitoring and data acquisition in substations/domestic applications using IoT

2019 ◽  
Vol 87 ◽  
pp. 01001 ◽  
Author(s):  
V. Badri Rama Krishnan ◽  
Keerthana Sandepudi ◽  
Shaista Gazal
Keyword(s):  
Power Supply ◽  
Communication Protocol ◽  
Electrical Energy ◽  
Energy Monitoring ◽  
Innovative Methods ◽  
Energy Meter ◽  
Consumption Data ◽  
Tariff Rates ◽  
Save Energy ◽  
Reliable Power Supply

The rising demand and tariff rates of electric power have derived the need to develop innovative methods to monitor, manage, economize and save energy. Energy monitoring and conservation are pre-eminent today because of the imbalance between power generation and demand. This paper proposes the outline and application of electrical energy measurement by an Arduino micro-controller that is used to calculate the power consumed by any individual electrical device. The main intention of the presented energy meter is to monitor, acquire and interpret the power consumption data online by integrating smart plugs, sensors at the device level and upload it to the server using IoT based communication protocol. Thus, this project enables the consumer to act accordingly to save power and to render a reliable power supply by making maximum use of energy sources in the cheapest ways.

scholarly journals RANCANG BANGUN MONITORING DAN PENYIMPANAN NILAI DAYA LISTRIK SECARA REAL TIME PADA BASIS DATA

2018 ◽  
Vol 5 (1) ◽  
pp. 139
Author(s):  
I Dewa Gde Bayu Wiranatha ◽  
Cok Gede Indra Partha ◽  
Widyadi Setiawan
Keyword(s):  
Real Time ◽  
Digital Media ◽  
Electrical Energy ◽  
Current Sensor ◽  
Hotel Management ◽  
Data Recording ◽  
Electrical Energy Consumption ◽  
Energy Monitoring ◽  
Maximum Current ◽  
Access Data

Hotel management to monitor the energy to know the electrical energy consumption at the hotel. Energy monitoring is carried out in order to achieve the efficient use of electrical energy, for accurate energy monitoring requires a tool that can monitor the power consumption in real time and store on digital media or database so easy to access. Data stored on the database using the help of microcontroller and Ethernet Shiled connected to the LAN network. The sensors used in this research are voltage down 220VAC: 9VAC and current sensors with maximum current capacity of 100 A. The result of data recording is the highest current sensor deviation of 2.4% and the highest voltage sensor deviation is 0.4%.

scholarly journals Dilution effect of the building area on energy intensity in urban residential buildings

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jingxin Gao ◽  
Xiaoyang Zhong ◽  
Weiguang Cai ◽  
Hong Ren ◽  
Tengfei Huo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Energy Savings ◽  
Residential Buildings ◽  
Dilution Effect ◽  
Building Energy ◽  
Residential Energy ◽  
Stirpat Model ◽  
Building Area ◽  
Consumption Energy

Abstract Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

scholarly journals Automatic Control Unit for Air-Condition System in Building

2019 ◽  
Vol 260 ◽  
pp. 02002
Author(s):  
Pairach Tanuphol ◽  
Chaichan Pothisarn
Keyword(s):  
Air Conditioning ◽  
Control Unit ◽  
Electrical Energy ◽  
Building Energy ◽  
Energy Usage ◽  
Comfort Zone ◽  
Actual Field ◽  
Wireless Module ◽  
Automatic Control Unit

Electrical energy usage has been rapidly increased in the building sector due to shifting in population from rural to urban area. In the building, Heating, ventilation, and air conditioning (HVAC) system. Especially air-condition system has taken the most substantial proportion of overall building energy consumption. This result from a large amount of energy must be used in order to provide a comfort zone for occupants in the building. So, this paper aims to proposed design and built prototypes of air-condition control unit that can automatically operate according to schedule. The prototypes using a wireless module to send the control signal to the air-conditioning unit. Specific software has been built to set the desired operating schedule and duration of an operation. The performance of the proposed unit will be evaluated using an experiment on actual field test by installing on actual air-condition in the case study building. The result has shown that the proposed unit can reduce energy usage in air-conditioning significantly compare with little cost for the controller unit.

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