An analysis on energy consumption of two different commercial buildings in Malaysia

2016 ◽  
Author(s):  
Mohd Fairuz Abd Hamid ◽  
Harison Gimang Anak Richard ◽  
Nor Azuana Ramli
Keyword(s):  
Energy Consumption ◽  
Commercial Buildings

Effect of Prismatic Skylight on the Power Consumption and Air-Conditioning Loads

2011 ◽  
Author(s):  
Sebastian Munera ◽  
Yong X. Tao
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Residential Buildings ◽  
Commercial Buildings ◽  
Conservation Strategy ◽  
Electromagnetic Spectrum ◽  
Base Line ◽  
Humid Climate ◽  
Big Box ◽  
Hot And Humid Climate

The use of Prismatic Skylights and its effects as a passive Energy Conservation Strategy in “Residential” and “Big Box Commercial Buildings” in hot and humid climate has been evaluated throughout this project. The potential benefits of using skylights reside in the fact that it reduces electrical lighting necessities but at the same time it contributes to an upsurge of the Cooling Loads of the conditioned space. Acknowledging the impact of skylights is fundamental to elaborate an optimized design of a building’s energy efficient mechanical system. To reach a sound conclusion, the evaluated buildings were modeled and their performance was simulated using the Department of Energy Simulation Program “Energy Plus”. To be able to compare the Energy Conservation Measure case (Using Skylights) with the Base Line (No Skylights), a photometric sensor was modeled to ensure that both cases sourced the same amount of light visible in the electromagnetic spectrum. Considering the Heating, Cooling and lighting energy consumption as variables, the variance between the ECM and the Base line for the residential case was 5% more energy consumption with skylights. For the Big Box Commercial Building there was a 5% deduction in energy consumption in the ECM case using 5% roof area covered with skylights. The results obtained from this investigation reveal a very promising effect in the implementation of skylights in “Big Box Commercial Buildings”, but not so optimistic in the case of “Residential Buildings” for hot and humid climate as shown by the simulation and monitoring data from the experimental case.

scholarly journals Development of new baseline models for U.S. medium office buildings based on commercial buildings energy consumption survey data

2020 ◽  
Vol 26 (9) ◽  
pp. 1321-1336
Author(s):  
Yunyang Ye ◽  
Yingli Lou ◽  
Matthew Strong ◽  
Satish Upadhyaya ◽  
Wangda Zuo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Survey Data ◽  
Commercial Buildings ◽  
Office Buildings ◽  
Consumption Survey

scholarly journals Building energy consumption prediction and energy control of large-scale shopping malls based on a noncentralized self-adaptive energy management control system

2020 ◽  
pp. 014459872092073
Author(s):  
Bao Peng ◽  
Hui-Min Zou ◽  
Peng-Fei Bai ◽  
Yu-Yang Feng
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Air Conditioning ◽  
Large Scale ◽  
Commercial Buildings ◽  
Shopping Malls ◽  
Consumption Values ◽  
Central Air Conditioning ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

Central air conditioning is the main energy-consuming equipment in modern large-scale commercial buildings. Its energy consumption generally accounts for more than 60% of the electricity load of an entire building, and there is a rising trend. Focusing on reducing central air conditioning energy consumption is a first priority to achieve energy savings in modern large-scale commercial buildings. To study the main influencing factors of central air conditioning energy consumption in large shopping malls, in-depth collection and analysis of energy consumption data of Shenzhen Tian-hong shopping mall were considered, and the impact of factors such as the basic composition of central air conditioning, time, and Shenzhen weather on the energy consumption of shopping malls was considered. The most representative Buji Rainbow store of the Rainbow Group is used as the research object. The influencing factors of central air conditioning on its energy consumption are divided into air conditioning pumps, host 1–1, host 1–2, host 2–1, and host 2–2. The power consumption of the freezer and the eight impact indicators of time and weather in Shenzhen were constructed using Pearson correlation coefficients and a long short-term memory neural network method to construct a regression model of the energy consumption prediction of the mall building. The average relative deviation between the predicted energy consumption values and the measured energy consumption values is less than 10%, which indicates that the main influencing factors selected in this paper can better explain the energy consumption of the mall, and the obtained energy consumption prediction model has high accuracy.

scholarly journals Retrofit pada Bangunan Komersial: Tinjauan Masalah dan Metode

Arsitektura ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 199
Author(s):  
Annisa Fikriyah Tasya ◽  
Purwanita Setijanti ◽  
Asri Dinapradipta
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Building Materials ◽  
Sustainable Use ◽  
Building Energy ◽  
Commercial Buildings ◽  
Operating Costs ◽  
Valuation Process ◽  
Decision Making Processes ◽  
Reduce Energy Consumption

<p class="Abstract"><em>At present energy efficiency is the main target to reduce building operating costs and achieve sustainability. The use of energy in buildings can be done through retrofitting. In addition, retrofitting has the potential to reduce carbon emissions, but there are also those who have to release some building features if necessary, energy features that are applied to existing buildings that have been issued to carry out renovations. Building reinforcement is a complex act, with various criteria that must be met with each other to achieve sustainable use of buildings. This article discusses the benefits, criteria, analytic methods, and decision making processes used to improve commercial buildings. The main criteria for increased energy consumption. Some other criteria are building materials, economy and occupants' needs. The analytical method for estimating or measuring the increase in retrofit that will be discussed in this article is a simulation of building energy. This method is widely used because it can predict the condition of buildings in the future. Each retrofit step is chosen and approved by the several factors; regulations, risks, business sustainability, knowledge, awareness and occupant demand. The retrofit valuation process is based on the value at which financial performance is taken into account. Retrofitting carried out on commercial buildings, applied with care, not only provides opportunities to reduce energy consumption and carbon emissions, but can also increase the value of these properties.</em><em></em></p>

scholarly journals An exploration of the feasibility of converting the New Zealand commercial building stock to be Net Zero Energy

2021 ◽  
Author(s):  
◽  
Shaan Cory
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
New Zealand ◽  
Commercial Buildings ◽  
Commercial Building ◽  
Zero Energy ◽  
Building Stock ◽  
Energy Models ◽  
Net Zero Energy ◽  
Net Zero

This thesis explores the feasibility of converting the current New Zealand commercial building stock to Net Zero Energy (NZE). The analysis presented is grounded in real building performance and construction information. The goal was to establish results that are as realistic as possible to actual building performance. The Net Zero Energy Building (Net ZEB) concept is one of many low energy building movements that respond to the issues of climate change and energy security. The Net ZEB concept strives to reduce demand for energy and then to offset any residual energy consumption with non-CO2 emitting renewable energy technologies. The (re-)design focus for Net ZEBs is to reduce annual energy consumption to be equal to or less than any generated renewable energy. This is an important concept since approximately 40 percent of all energy and emissions worldwide are building related. If all buildings were designed and operated to be NZE, the existing energy can be used by other sectors which will increase energy security. Conversely, reducing the fossil fuel CO2 producing component of the energy consumed by buildings has the benefit of negating building’s contribution to climate change. The Net ZEB concept assumes each building is grid-connected, and balances the energy taken from the grid against the energy put back into the grid over a year. This study exploits the available synergies of the grid connection to achieve NZE for the whole building stock. Thus each individual building does not need to be NZE at the site, but they act as a community to reach NZE collectively. Furthermore, any grid-tied renewable energy does not need to be offset, only the non-renewable portion. A NZE target was calculated to determine the percentage reduction in current energy consumption needed before the current commercial building stock could be considered NZE. It was found that a 45 percent reduction in primary energy would offset all non-renewable CO2 emitting energy supply currently consumed by the New Zealand commercial building stock. Previous studies assessing whether converting an entire stock of commercial buildings to NZE is possible used prototypical building energy models. Prototypical models represent a hypothetical average building and have many assumptions about the way a building is operated. This thesis develops a method that takes a representative sample of real commercial buildings and makes calibrated energy models that can be aggregated to represent energy consumption for all commercial buildings in New Zealand. The developed calibration method makes use of as-built building information and a standardised procedure for identifying the inaccurate model inputs which need to be corrected for a building energy model to be calibrated. To further base the process in reality, a set of Energy Conservation Measures (ECM) that had been implemented in real Net ZEBs worldwide was adopted for the proposed retrofits. These ECMs were combined into Net ZEB solution sets for retrofitting the aggregated commercial building models. Optimisation of the Net ZEB solution sets was performed on hundreds of models to maximise energy savings. It took over six months for all of the optimisations to be completed. This thesis demonstrates the estimated New Zealand commercial building stock’s energy consumption based upon the calibrated energy models was robust by comparing it to an external estimate. It shows that NZE can be achieved by applying well understood Net ZEB solution sets to the New Zealand commercial building stock. 96 percent of the NZE goal is attainable just through demand reduction without the use of onsite renewable energy generation. The additional four percent of reduction required to meet NZE is easily attainable with onsite renewable generation. Another benefit is that the retrofitted commercial buildings will provide improved thermal comfort for the occupants. Having established NZE was possible, this thesis concludes with an analysis of the broader implications of achieving the NZE goal. It identifies the next step would be to design a NZE commercial building stock that reduces the stresses on the existing energy infrastructure. The Solution Set adopted was not developed with the interaction of the building and electrical grid in mind. To have a practical implementation of NZE will require costing and community prioritisation. This would be the next phase of work assessing nationwide NZE retrofit.

scholarly journals Daylight Harvesting Optimization for Commercial Buildings using AI Technique

2021 ◽  
pp. 8-14
Author(s):  
Gaurav Patil ◽  
Shravan Vishwakarma
Keyword(s):  
Energy Consumption ◽  
Weather Conditions ◽  
Commercial Buildings ◽  
Human Comfort ◽  
Global Energy ◽  
Daylight Harvesting ◽  
Global Energy Consumption

As Energy consumption in buildings increases considerably from year to year due to the increase in human comfort needs and services . In addition to weather conditions, several factors influence the energy consumption for cooling buildings, such as the structure of the walls, the window-to-wall ratio and the orientation of the building. The energy consumption of buildings has been reported to represent a relatively large proportion of global energy consumption.

Development and Testing of an Automated Building Commissioning Analysis Tool (ABCAT)

2010 ◽  
Author(s):  
John D. Bynum ◽  
David E. Claridge ◽  
Jonathan M. Curtin
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Weather Conditions ◽  
The United States ◽  
Commercial Buildings ◽  
Test Case ◽  
Analysis Tool ◽  
Component Level ◽  
Building Commissioning ◽  
Occupant Comfort

Experience has shown that buildings on average may consume 20% more energy than required for occupant comfort which by one estimate leads to $18 billion wasted annually on energy costs in commercial buildings in the United States. Experience and large scale studies of the benefits of commissioning have shown the effectiveness of these services in improving the energy efficiency of commercial buildings. While commissioning services do help reduce energy consumption and improve performance of buildings, the benefits of the commissioning tend to degrade over time. In order to prolong the benefits of commissioning, a prototype fault detection and diagnostic (FDD) tool intended to aid in reducing excess energy consumption known as an Automated Building Commissioning Analysis Tool (ABCAT) has been developed. ABCAT is a first principles based whole building level top down FDD tool which does not require the level of expertise and money often associated with more detailed component level methods. The model based ABCAT tool uses the ASHRAE Simplified Energy Analysis Procedure (SEAP) which requires a smaller number of inputs than more sophisticated simulation methods such as EnergyPlus or DOE-2. ABCAT utilizes a calibrated mathematical model, white box method, to predict energy consumption for given weather conditions. A detailed description of the methodology is presented along with test application results from more than 20 building years worth of retrospective applications and greater than five building years worth of live test case applications. In this testing, the ABCAT tool was used to successfully identify 24 significant energy consumption deviations in five retrospective applications and five significant energy consumption deviations in four live applications.

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