scholarly journals A Case Study of an Office Building to Identify Energy Consumption and Carbon Management Solutions Using Physical Data and Simulation Software

2021 ◽  
Vol 945 (1) ◽  
pp. 012049
Author(s):  
Ramesh Subramaniam ◽  
Vignes Ponniah ◽  
Shalini Sanmargaraja ◽  
Eric Lou ◽  
Muhammad Afiq Bin Nor Adli ◽  
...  

Abstract To measure the level of energy performance of a building, there are several categories of energy consumption to be calculated such as oil, natural gas and electricity. In order to significantly minimise the Greenhouse gas emission in an office, it is important to tap into the positive progress of energy efficiency of equipment which contributes to total energy performance of a building. Consequently, to enable accurate building energy consumption of a building, energy modelling method is applied to identify total consumption and cost of energy usage with effects of carbon emission. Hence, this will help to reduce the costing of energy inside building with differences of efficiency options. Therefore, this paper aims to analyse an office building in terms of the level of energy consumption and carbon emission as a case study. The first objective is to identify the amount of energy consumption and carbon emission inside the building using the simulation software. Secondly, to identify the differences between the data recorded through simulation software and physical data. Finally, to identify solutions to decrease the carbon emission by applying measures towards reducing energy consumption inside the building.

2013 ◽  
Vol 409-410 ◽  
pp. 606-611 ◽  
Author(s):  
Zhen Yu ◽  
Wei Lin Zhang ◽  
Ting Yong Fang

Using the energy consumption simulation software to research the HVAC in fall air conditioning mode, different building orientation and window-wall ratio of the office building energy consumption. The study found that the heating energy consumption, air-conditioning energy consumption and total energy consumption is gradually increased with the increase of the window-wall ratio under the same orientation. The result provides some reference for public buildings in setting of building orientation and window-wall ratio.


Author(s):  
Jingyi Li ◽  
Hong Chen

AbstractThis research focuses on the energy performance of office building in Wuhan. The research explored and predicted the optimal solution of design variables by Multi-Island Genetic Algorithm (MIGA) and RBF Artificial neural networks (RBF-ANNs). Research analyzed the cluster centers of design variable by K-means cluster method. In the study, the RBF-ANNs model was established by 1,000 simulation cases. The RMSE (root mean square error) of the RBF-ANNs model in different energy aspects does not exceed 15%. Comparing to the reference case (the largest energy consumption case in the optimization), the 214 elite cases in RBF-ANNs model save at least 37.5% energy. By the cluster centers of the design variables in the elite cases, the study summarized the benchmark of 14 design variables and also suggested a building energy guidance for Wuhan office building design.


2018 ◽  
Vol 22 (Suppl. 5) ◽  
pp. 1499-1509
Author(s):  
Miomir Vasov ◽  
Jelena Stevanovic ◽  
Veliborka Bogdanovic ◽  
Marko Ignjatovic ◽  
Dusan Randjelovic

Buildings are one of the biggest energy consumers in urban environments, so its efficient use represents a constant challenge. In public objects and households, a large part of the energy is used for heating and cooling. The orientation of the object, as well as the overall heat transfer coefficient (U-value) of transparent and non-transparent parts of the envelope, can have a significant impact on building energy needs. In this paper, analysis of the influence of different orientations, U-values of envelope elements, and size of windows on annual heating and cooling energy for an office building in city of Nis, Serbia, is presented. Model of the building was made in the Google SketchUp software, while the results of energy performance were obtained using EnergyPlus and jEplus, taking into ac-count the parameters of thermal comfort and climatic data for the area of city of Nis. Obtained results showed that, for varied parameters, the maximum difference in annual heating energy is 15129.4 kWh, i. e per m2 27.75 kWh/m2, while the maximum difference in annual cooling energy is 14356.1 kWh, i. e per m2 26.33 kWh/m2. Considering that differences in energy consumption are significant, analysis of these parameters in the early stage of design process can affect on increase of building energy efficiency.


2021 ◽  
Vol 312 ◽  
pp. 06003
Author(s):  
Franz Bianco Mauthe Degerfeld ◽  
Ilaria Ballarini ◽  
Giovanna De Luca ◽  
Vincenzo Corrado

The EN ISO 52016-1 standard presents a new simplified dynamic calculation procedure, whose aim is to provide an accurate energy performance assessment without excessively increasing the number of data required. The Italian National Annex to EN ISO 52016-1, currently under development, provides some improvements to the hourly calculation method; despite many works can be found in literature on the hourly model of EN ISO 52016-1, the National Annexes application has not been sufficiently analysed yet. The aim of the present work is to assess the main improvements introduced by the Italian National Annex and to compare the main results, in terms of energy need for space heating and cooling. To this purpose, an existing building representative of the Italian office building stock in Northern Italy was selected as a case study. The energy simulations were carried out considering both continuous and reduced operation of the HVAC systems. The options specified in the Italian National Annex were firstly applied one by one, and then all together. The variation of the energy need compared to the international base procedure is finally quantified. For the premises and the scope above discussed, the present work is intended to enhance the standardisation activity towards the adoption of more accurate and trustable calculation methods of the building energy performance.


Buildings ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 190
Author(s):  
Irina Susorova ◽  
Brent Stephens ◽  
Benjamin Skelton

A common envelope performance problem in buildings is thermal bridging through balcony slab connections, which can be improved with the use of commercially available thermal break products. Several prior studies have used simulation-based and/or hot box test apparatus approaches to quantify the likely effect of balcony thermal breaks on effective thermal resistance of building enclosures. However, in-situ measurements of thermal performance in real buildings remain limited to date. This study uses a combination of field measurements and models to investigate the effects of installing balcony thermal breaks on the interior surface temperatures, effective thermal resistance, and annual building energy consumption. For the field experiment, yearlong measurements were conducted on the 13th floor of a 14-story multi-family building in Chicago, IL, in which thermocouple sensors were embedded into eight balconies and their adjacent interior floor slabs just before concrete was poured to complete the construction. The eight balconies included four control balconies without thermal breaks and four thermally-broken balconies with a commercially available thermal break product installed. The experimental data were then combined with 2-D heat transfer modeling and whole building energy simulations to investigate the impacts of the thermal break product installation on the envelope thermal resistance and overall energy use in the case study building as well as in several more generic building designs with simpler geometries. The results demonstrate that although the balcony thermal breaks helped regulate interior slab temperatures and improved the effective thermal resistance of the curtain wall enclosure assembly by an estimated ~14% in the case study building, the predicted effect on annual energy consumption in all modeled building types was small (i.e., less than 2%). The results also highlight the importance of paying careful attention to envelope design details when using thermal break products and considering the use of thermal break products in combination with other energy efficiency strategies to achieve high performance enclosures.


2015 ◽  
Vol 74 (4) ◽  
Author(s):  
Atefeh Mohammadpour ◽  
Mohammad Mottahedi ◽  
Shideh Shams Amiri ◽  
Somayeh Asadi ◽  
David Riley ◽  
...  

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. 


2012 ◽  
Vol 193-194 ◽  
pp. 258-269 ◽  
Author(s):  
Ching Hin Law ◽  
Jian Kun Yang ◽  
Xiang Yang Jiang

This research introduced and implemented building energy simulation via a case study of a commercial project in China, by considering the green features which can reduce the annual energy consumption of this building. This simulation process was based on the requirement described within LEED EA c1 Optimize Energy Performance. The result concluded that more than 39.41% of energy cost was reduced and thus the project can obtain 16 points from this credit.


Author(s):  
Gholamreza Heravi ◽  
Milad Rostami ◽  
Maryam Shekari

Considering the increasing rate of energy consumption and its environmental detrimental effects, as well as considering the use of non-renewable energy sources such as fossil fuels, energy management issues have become more important. Given the 40% share of the building industry's total energy consumption, as well as the 80% share of energy consumed during the operation period, attention to the areas of energy management and optimization during the operation period of the buildings can have a major impact on buildings’ energy performance. In this research, through identifying building energy management tools and studying previous studies and assessing the effects of building energy management systems, the economic and environmental impacts of using building energy management systems on the annual energy consumption in an office building in Tehran as a case study has been investigated. The results indicate a 32 percent reduction in energy consumption and a significant reduction in the release of the environmental pollutants in smart mode compared to the base mode. Moreover, considering the social costs associated with the emitted pollutants as well as the return period, it has been attempted to identify the factors contributing to the economic justification of using smart heating and cooling systems. According to the results, the use of smart energy management systems can be considered as an effective step in optimizing and managing energy consumption in the construction sector.


2019 ◽  
Vol 111 ◽  
pp. 04045
Author(s):  
Marko G. Ignjatović ◽  
Bratislav D. Blagojević ◽  
Mirko M. Stojiljković ◽  
Aleksandar S. Anđelković ◽  
Milena B. Blagojević ◽  
...  

One of the possible ways to improve balance between building energy consumption and occupant thermal comfort in existing buildings is to use simulation-assisted operation of HVAC systems. Simulation-assisted operation can be formulated as a type of operation that implements knowledge of future disturbance acting on the building and that enables operating the systems in such a way to fulfill given goals, which in nature can often be contradictory. The most important future conditions on building energy consumption are weather parameters and occupant behavior and expectations of thermal environment. In order to achieve this type of operation, optimization methods must be applied. Methodology to create HVAC system operation strategies on a daily basis is presented. Methodology is based on using building energy performance simulation software EnergyPlus, available weather data, global sensitivity analysis, and custom developed software with particle swarm optimization method applied over the moving horizon. Global sensitivity analysis is used in order to reduce number of independent variables for the optimization process. The methodology is applied to office part of real combined-type building located in Niš, Serbia. Use of sensitivity analysis shows that the reduced number of independent variables for the optimization would lead to similar thermal comfort and energy consumption, with significant computer runtime reduction.


2020 ◽  
pp. 1420326X2096155
Author(s):  
Saihong Tang ◽  
Nevzat Akkurt ◽  
Kai Zhang ◽  
Lufang Chen ◽  
Mingquan Ma

Cool roofs with higher solar reflectance and emittance can effectively reduce building energy consumption. However, it is still limited to use at night on account of the development of roof materials during the past decades. The newly proposed metamaterial-based cool roof (MCR) greatly improves the possibility of the radiative cooling in the daytime. To study the influence of MCR on the energy consumption for the office building, a small single-floor office was adopted to analyse the cooling performance of MCR by using EnergyPlus. In this study, the optimization analysis was conducted based on the proposed dimensionless thermal resistance ( θRTR) and roof pitch (Δ). Then the annual electricity saving potential of the office building with MCR was evaluated in details based on the selected cities from all five climate zones in China. The results show that more annual electricity saving can be achieved under the optimized values of θR7 = 1.53 and Δ = 20°. Furthermore, more than 15.7% of annual cooling electricity saving can be achieved while the optimized θRTR and Δ are applied.


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