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.

Energy Audits and Energy-Saving Potential Analysis of the Science Building at Xi'an Jiaotong-Liverpool University in Suzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1044-1049 ◽  
Author(s):  
Wen Long Jing ◽  
Mohamed Nayel
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Science Building ◽  
Energy Audits

A building energy audit was developed through a case study on the science building at Xi'an Jiaotong-Liverpool University (XJTLU). The annual energy consumption of the building was surveyed over a two year period. The building energy consumption characteristics were displayed and the corresponding energy saving potential was analyzed. Additionally, an energy saving methods is proposed based on the characteristics of the target building.

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.

Study on the Problems and Solutions of Building Energy Efficiency

2014 ◽  
Vol 525 ◽  
pp. 439-442
Author(s):  
Ling Jiao
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Evaluation System ◽  
Green Building ◽  
Building Energy ◽  
Green Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption

With the development of economy, the progress of the times, the city continued to expand the scale of construction, building energy consumption is more and more serious, and the green energy-saving buildings are paid more and more attention in society. Building energy efficiency can fundamentally promote the savings and the rational use of energy and resources, Building energy efficiency is the needs to guarantee the sustainable development of national economy. With problems in building energy efficiency as the point of penetration, this paper analyses the present situations of building energy consumption and the major energy-saving issues in China. On the basis, in order to promote the green building of sustainable development, from thinking, evaluation system, design and other aspects some suggestions and measures are proposed .

scholarly journals Energy Saving Strategies and On-Site Power Generation in a University Building from a Tropical Climate

2021 ◽  
Vol 11 (2) ◽  
pp. 542
Author(s):  
Jaqueline Litardo ◽  
Massimo Palme ◽  
Rubén Hidalgo-León ◽  
Fernando Amoroso ◽  
Guillermo Soriano
Keyword(s):  
Power Generation ◽  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Tropical Climate ◽  
Power Converter ◽  
Photovoltaic System ◽  
Base Line ◽  
Building Energy Consumption ◽  
Cooling Loads

This paper compares the potential for building energy saving of various passive and active strategies and on-site power generation through a grid-connected solar photovoltaic system (SPVS). The case study is a student welfare unit from a university campus located in the tropical climate (Aw) of Guayaquil, Ecuador. The proposed approach aims to identify the most effective energy saving strategy for building retrofit in this climate. For this purpose, we modeled the base line of the building and proposed energy saving scenarios that were evaluated independently. All building simulations were done in OpenStudio-EnergyPlus, while the on-site power generation was carried out using the Homer PRO software. Results indicated that the incorporation of daylighting controls accounted for the highest energy savings of around 20% and 14% in total building energy consumption, and cooling loads, respectively. Also, this strategy provided a reduction of about 35% and 43% in total building energy consumption, and cooling loads, respectively, when combined with triple low-e coating glazing and active measures. On the other hand, the total annual electric energy delivered by the SPVS (output power converter) was 66,590 kWh, from where 48,497 kWh was supplied to the building while the remaining electricity was injected into the grid.

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 Evaluation on Innovation approaches on Performance from Malaysian perspective: A study on Malaysian Building energy saving

2018 ◽  
Vol 150 ◽  
pp. 06040
Author(s):  
M. H. Amlus ◽  
Amlus Ibrahim ◽  
Ahmad Zaidi Abdullah ◽  
Nurhafiza Azizan ◽  
Ummi Naeimah Saraeh
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Management Approach ◽  
Energy Audit ◽  
Advanced Country ◽  
Power Meter ◽  
Load Following ◽  
Current Usage ◽  
Building Energy Saving

Lately Malaysia energy consumption versus generation rapidly shows increasing due to increasing of load. This phenomenon happened following to advanced country development. Lacking on design and without energy management approach the energy consumption and monthly electrical bill will steadily increased and support the increasing of world carbon emission. Therefore the aim of this work is to approach the simplest innovation task-energy audit , which is load-apportioning strategy. This approach using matching the usage of equipment with fully utilized space and reschedules the time of usage. A one week data was collected by logged power meter at main switchboard at selected building using Fluke Power Recorder. From the data collected, current usage of every load can be determine, then load will be arrange into a group with same portion and same time of usage. The result shows clearly the energy consumption for every single day and indicates the highest and lowest peak. From this work the apportioning strategy implemented by rearrange the load following type of room application. After the arrangement, new measurement was taken and a very good result was established. This work also can be further apply for a huge load that can be save a lot of money for owner especially government by energy saving.

scholarly journals Research on the Building Energy Saving Development Planning Workout Pattern

2012 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Ling Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Development Planning ◽  
Planning Problem ◽  
Building Energy Consumption ◽  
Effective Measure ◽  
Building Energy Saving ◽  
Current Stage

<p>Based on the national situation and combined with status of building energy consumption, building energy saving development planning is the most effective measure to deal with the building energy consumption problem in China. Given the building energy saving development planning problem, proposals are given in terms of the planning patterns, planning flow and the organization, which would be of practical value to the implementation of building efficiency planning in China at current stage.</p>

Application of BIM Technology on Energy Efficiency Building Design

2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Design Method ◽  
Building Design ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Analysis Software ◽  
Building Model

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.

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