scholarly journals Serious Games as an Engaging Medium on Building Energy Consumption: A Review of Trends, Categories and Approaches

2020 ◽  
Vol 12 (20) ◽  
pp. 8508
Author(s):  
Xianfeng Wu ◽  
Shuli Liu ◽  
Ashish Shukla
Keyword(s):  
Energy Consumption ◽  
Serious Games ◽  
Energy Use ◽  
Real Life ◽  
Building Energy ◽  
End Users ◽  
Evaluation Framework ◽  
Building Energy Consumption ◽  
Energy Monitoring ◽  
Save Energy

Serious games, as an engaging medium on energy consumption, have recently become more popular, as they present an educational mechanism to engage end-users. A novel application of serious games in engaging and educating end-users has been validated during the last years. However, there is little research focusing on the review of its development trends, categories and approaches. The proposed paper reviews serious games as an engaging medium for building energy consumption. The research focuses on the role of energy-consumption awareness-related education in motivating end-users to save energy and make informed decisions to change energy-related behaviours. This research stresses the approaches to underlining the issue as ascertained from a number of efficiency-related serious games. The investigation suggests the potential impact that serious games can have on changing the domestic practices of householders, in a safe, fun and interactive environment. This would enable householders to investigate alternative ways of meeting energy-consumption targets and realise the limits to their energy-saving potential. It concludes that at present, serious games do not take advantage of the opportunities available in energy monitoring and sub-metering, or real-life energy behaviours. Meanwhile, the existing evaluation framework for the effectiveness of an energy serious game still needs to be further developed. However, active engagement in energy monitoring has contributed to numerous past successes in energy use reduction, and gamification and serious games show great potential for building upon these achievements.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

scholarly journals The Optimization of Building Energy Consumption in Universitas Negeri Padang Using Building Energy Simulation Program

Teknomekanik ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 30-35
Author(s):  
Andre Kurniawan ◽  
Nanang Qosim ◽  
Remon Lapisa ◽  
Zainal Abadi ◽  
Jasman Jasman
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Green Building ◽  
Energy System ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
System A ◽  
Better Than

Energy consumption of a building is one of the biggest sources of energy use today. Green Building Comitte Indonesia (GBCI) has launched a concept of energy consumption saving in a nationally standard building. Audit Building energy audit is the way to know how actual building energy consumption is and find alternative solution to decrease energy consumption in order to fulfill the energy saving building criteria. Two types of HVAC systems will be run in the EnergyPlus simulation, split AC and central AC. The previous research proved that central AC is better than split AC system for energy saving in the building with 20 floors. The simulation results show that by using a certain energy system, a more efficient energy system will be achieved and can still maintain the comfort of the room at a temperature of 24 °C and relative humidity according to the Green Building Indonesia standard reference.

Reliable data transmission method based on 6LoWPAN for building energy systems

2019 ◽  
Vol 41 (5) ◽  
pp. 623-633
Author(s):  
Cui-Min Li ◽  
Chun-Ying Li ◽  
Lei Wang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Data Transmission ◽  
Building Energy ◽  
Reliable Data ◽  
Wireless Sensor ◽  
Building Energy Consumption ◽  
Transmission Method ◽  
Energy Monitoring ◽  
Transmission Reliability

The building energy internet of things is based on radio frequency technology and a wireless sensor network that can collect building energy consumption data in real time. However, with the increasing complexity of wireless sensor network topology, there is a problem of insufficient IP address space relying on IPv4 protocol. In this paper, a design scheme of a building energy system based on 6LoWPAN network is proposed. IPv4/IPv6 address conversion is used to realise the access of IP addresses to each other, so as to monitor building energy consumption information anytime and anywhere. In view of the shortcomings of existing wireless network data transmission methods in low energy consumption and high reliability in building energy monitoring applications, a reliable data transmission method based on multipath routing coding algorithm is proposed. This strategy improves the transmission reliability of the network by increasing the number of redundant packets, and reduces the energy consumption of the network by reducing the number of transmission paths. The simulation results show that the proposed method can effectively improve the success rate of data packet transmission, reduce the standard energy consumption of sensor networks, and provide an effective method for the application of wireless sensor networks in building energy monitoring systems. Practical application: This paper studies how to improve transmission reliability and energy efficiency in cluster-based WSN and proposes a multi-path transmission strategy for selective coding of intermediate cluster head nodes. The strategy improves the transmission reliability of the network by increasing the number of transmissions of redundant packets and reduces the network energy consumption by reducing the number of transmission paths. It has good use value for the actual development and application of the building energy consumption monitoring system.

scholarly journals Metamodeling of building energy consumption focused on climate, operation, space use and users related factors

2019 ◽  
Vol 111 ◽  
pp. 04027
Author(s):  
Aymeric Novel ◽  
Francis Allard ◽  
Patrice Joubert
Keyword(s):  
Energy Consumption ◽  
Real Life ◽  
Space Use ◽  
Building Energy ◽  
Energy Performance ◽  
High Energy ◽  
Building Energy Consumption ◽  
Modeling Uncertainties ◽  
Operation Phase ◽  
The Impact

Energy performance guarantee projects aim at achieving a given energy consumption in real life conditions. Building energy consumption monitoring during operation phase often reveals that energy consumption is sensitive to building spaces use and systems operation quality, especially for buildings with high energy performance characteristics [7]. Other investigations show the impact of building users’ behaviour on energy consumption [28]. These factors must be added to climate factors for energy consumption prediction during operation phase. Number of factors and possible combinations is very high. Building energy modeling is limited regarding this issue and metamodeling has been used to solve this problem [25]. We developed metamodels that are polynomial functions using D-optimal design of experiment (DOE) approach. Such metamodels can become operational tools to use in the IPMVP framework, associated with a M&V plan. This paper shows the application of the method on a cultural building that comprises numerous systems and usages. We obtain a reliable metamodel of the energy consumption as a function of climate, operation, and space use factors. which meets IPMVP [11] and ASHRAE Guideline 14 [3] modeling uncertainties criteria. We also determine the global uncertainty resulting from predictors’ uncertainties propagation and modelling uncertainty associated with the metamodel.

Parametric Analysis of Building Elements on Building Energy Use

2015 ◽  
Vol 74 (4) ◽  
Author(s):  
Atefeh Mohammadpour ◽  
Mohammad Mottahedi ◽  
Shideh Shams Amiri ◽  
Somayeh Asadi ◽  
David Riley ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Full Range ◽  
Building Energy ◽  
Energy Performance ◽  
Simulation Software ◽  
Design Parameters ◽  
Building Energy Consumption ◽  
Commercial Building ◽  
Building Shape

Building energy modeling is essential to estimate energy consumption of buildings. Predicting building energy consumption benefits the owners, designers, and facility managers by enabling them to have an overview of building energy consumption and can help them to determine building energy performance during the design phase. This paper focuses on two different shapes of commercial building, H and rectangle to estimate energy consumption in buildings in three different climate zones, cold, hot-humid, and mixed-humid. To address this, DOE-2 building simulation software was used to build and simulate individual commercial building configurations that were generated using Monte Carlo simulation techniques. Ten thousand simulations for each building shape and climate zone were conducted to develop a comprehensive dataset covering the full range of design parameters. 

scholarly journals Using Building Information & Energy Modelling for Energy Efficient Designs

2021 ◽  
Vol 26 ◽  
pp. 427-440
Author(s):  
Mohamed K. Watfa ◽  
Amal E. Hawash ◽  
Kamal Jaafar
Keyword(s):  
Energy Consumption ◽  
Construction Industry ◽  
Energy Use ◽  
Orientation Angle ◽  
Green Building ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Building Orientation ◽  
Building Information

The construction industry has a huge impact on the environment in terms of noise, water and land pollution, traffic congestion and waste disposal. Another aspect of the construction industry impact on the environment is the increasing energy consumption. According to published research, buildings energy use is expected to increase by 32% by the year 2040. As a result, efforts have been directed toward improving green building awareness and the application of sustainability concepts in the design, construction and building management processes. In this research, using extensive simulations, the integration between Building Information Modeling methodology (BIM) and Building Energy Modeling (BEM) methodologies in order to effectively minimize the overall energy consumption of a residential building in the UAE is investigated by studying several design factors including: building orientation and windows type, size and distribution on the overall building energy consumption. Results show that to increase the modelled building’s energy and financial efficiency, recommended changes to the initial design have to be done including changing the distribution of the southern façade and the type of windows glazing used. More specifically, there was a peak energy reduction of: 8% with a 180 degrees building orientation angle, 2% with a window to wall ratio of 15%, and 2% when double glazing windows were used. This work validates that the combination of BIM and BEM allows to enhance the overall building energy consumption efficiency and to further establish the needed sustainability goals through a generated 3D model.

scholarly journals AN INVESTIGATION ON RELATIONSHIP BETWEEN ENERGY CONSUMPTION OF HIGH RISE INSTITUTIONAL BUILDINGS AND THE CLIMATE OF DHAKA CITY

2012 ◽  
Vol 12 (1) ◽  
pp. 39-48
Author(s):  
Md. Yousuf Reja ◽  
Amreen Shajahan
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Energy Use ◽  
Meteorological Data ◽  
Building Design ◽  
Building Energy ◽  
Tropical Region ◽  
Dhaka City ◽  
Building Energy Consumption ◽  
Public Buildings

Growth in population, mounting demand for building services and comfort levels, along with the rise in time spent inside buildings, assure the upward trend in energy consumption of large scale public buildings in Dhaka city. For this reason, energy efficiency in buildings is a prime objective today for energy policy at regional, national and international levels. This paper devotes to discuss the holistic utility bills analysis method for investigating and analyzing whole building energy consumption of public buildings with special emphasis on private sector institutions in a tropical region like Dhaka city. Correlations between operational records of energy consumption of three institutional buildings and the meteorological data including monthly mean outdoor dry-bulb temperature (To), and relative humidity (RH) of Dhaka city have been derived. The findings of the study reveals that the overall building energy consumption is highly dependent on climate, building design characteristics including internal layout, orientation, fenestration and site configurations, and ownership. The analysis of such kind of model is especially useful for building managers and owners to track energy use during preretrofit and post-retrofit periods and to reduce building operational costs in the tropical region. Keywords: Energy consumption, Institutional buildings, Utility bills, Heat gain, Meteorological data.

scholarly journals Investigation and Evaluation of Energy Consumption Performance for Hospital Buildings in China

2019 ◽  
Vol 11 (6) ◽  
pp. 1724 ◽  
Author(s):  
Ru Ji ◽  
Shilin Qu
Keyword(s):  
Energy Consumption ◽  
Evaluation System ◽  
Energy Use ◽  
Energy Savings ◽  
Building Energy ◽  
Total Energy Consumption ◽  
Electricity Use ◽  
Hospital Building ◽  
Save Energy ◽  
Air Conditioning Systems

Energy use in hospitals is higher than other public buildings, so it is essential to investigate and evaluate its energy consumption performance to save energy. In this paper, a comprehensive investigation was conducted to study energy consumption of hospitals in China. The investigation results show that electricity use accounts for the maximum share in total energy consumption of hospitals, especially in south China. Improving air conditioning systems is the most direct and effective way for realizing hospital building energy savings. What’s more, a new evaluation system of energy-saving performance for hospital buildings was developed. This evaluation system could evaluate performance of energy use in hospital, find out the weakness of energy use, and provide improving suggestions. Furthermore, a kind of visual software was given by our paper, which can be used intuitively by practitioners to evaluate building energy consumption performance of a hospital.

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