scholarly journals Impact of orientation and building envelope characteristics on energy consumption case study of office building in city of Nis

2018 ◽  
Vol 22 (Suppl. 5) ◽  
pp. 1499-1509
Author(s):  
Miomir Vasov ◽  
Jelena Stevanovic ◽  
Veliborka Bogdanovic ◽  
Marko Ignjatovic ◽  
Dusan Randjelovic
Keyword(s):  
Energy Consumption ◽  
Early Stage ◽  
Building Energy ◽  
Energy Performance ◽  
Building Envelope ◽  
Office Building ◽  
Climatic Data ◽  
Building Energy Efficiency ◽  
Maximum Difference ◽  
Heating And Cooling

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.

A Case Study on the Verification of Passive Office Energy Performance Comparing Actual Energy Consumption to Simulation Result

2013 ◽  
Vol 361-363 ◽  
pp. 427-430 ◽  
Author(s):  
Young Sun Ko ◽  
Sang Tae No
Keyword(s):  
Energy Consumption ◽  
Energy Performance ◽  
Building Envelope ◽  
Office Building ◽  
Simulation Accuracy ◽  
Existing Building ◽  
Heating And Cooling ◽  
Insulation Thickness ◽  
Actual Energy Consumption ◽  
Heating And Cooling Load

The objective of this study is to verify energy performance of passive office building compared to existing building using computer simulation tool, EnergyPlus. S building was selected as a passive office building, which is the first passive office building in KOREA, and the building satisfy the passive house standard. The annual energy consumption data were compared to the heating and cooling load result of EnergyPlus, to verify simulation accuracy. The conditions of existing building were selected from Korean envelope standard and the categories of the conditions are the insulation thickness and glazing composition. As a result, the passive office showed 28% reduced energy consumption, compared to the existing building, with ordinary envelope under Korean building envelope standard.

Research on the Energy Consumption Reference Value of Commercial Office Buildings in Xi’an

2012 ◽  
Vol 209-211 ◽  
pp. 1871-1875
Author(s):  
Yuan Jia ◽  
Zeng Feng Yan
Keyword(s):  
Energy Consumption ◽  
Reference Values ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Reference Value ◽  
Building Energy ◽  
Energy Performance ◽  
Office Building ◽  
Building Energy Efficiency ◽  
Water Pumps

Energy consumption reference values support the reference data for development of building energy efficiency potential. A uniform split model of energy consumption was established for calculating the item electricity consumption. Item electricity consumption are consisted by the electricity use of air conditioning system (chillers, chilled water pumps, cooling water pumps, cooling tower fans and end-use equipments), lighting system, indoor equipments and service equipments respectively. The data from site investigation was used to calculate the item electric energy use intensities (EUIs) in commercial office building. And these EUIs were used to identify the item energy reference value by two statistical analysis methods. The results show that the quadratic average EUIs which stand for the high level of energy consumption are lower than the mean plus standard deviation (SD) EUIs. Finally, the individual building (EUIs) can be compared with these reference values to evaluate building energy performance. And the item energy reference value is investigated in support of the retrofit of commercial office building.

scholarly journals Impact of Window to Wall Ratio on Energy Loads in Hot Regions: A Study of Building Energy Performance

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1080
Author(s):  
Mamdooh Alwetaishi ◽  
Omrane Benjeddou
Keyword(s):  
Saudi Arabia ◽  
Building Materials ◽  
Building Design ◽  
Building Energy ◽  
Energy Performance ◽  
Design Stage ◽  
Design Solution ◽  
Building Energy Efficiency ◽  
Climatic Regions ◽  
Heating And Cooling

The concern regarding local responsive building design has gained more attention globally as of late. This is due to the issue of the rapid increase in energy consumption in buildings for the purpose of heating and cooling. This has become a crucial issue in educational buildings and especially in schools. The major issue in school buildings in Saudi Arabia is that they are a form of prototype school building design (PSBD). As a result, if there is any concern in the design stage and in relation to the selection of building materials, this will spread throughout the region. In addition to that, the design is repeated regardless of the climate variation within the kingdom of Saudi Arabia. This research will focus on the influence of the window to wall ratio on the energy load in various orientations and different climatic regions. The research will use the energy computer tool TAS Environmental Design Solution Limited (EDSL) to calculate the energy load as well as solar gain. During the visit to the sample schools, a globe thermometer will be used to monitor the globe temperature in the classrooms. This research introduces a framework to assist architects and engineers in selecting the proper window to wall ratio (WWR) in each direction within the same building based on adequate natural light with a minimum reliance on energy load. For ultimate WWR for energy performance and daylight, the WWR should range from 20% to 30%, depending on orientation, in order to provide the optimal daylight factor combined with building energy efficiency. This ratio can be slightly greater in higher altitude locations.

scholarly journals A Study of Optimal Specifications for Light Shelves with Photovoltaic Modules to Improve Indoor Comfort and Save Building Energy

2021 ◽  
Vol 18 (5) ◽  
pp. 2574
Author(s):  
Heangwoo Lee ◽  
Xiaolong Zhao ◽  
Janghoo Seo
Keyword(s):  
Energy Savings ◽  
Building Energy ◽  
Energy Performance ◽  
Building Energy Efficiency ◽  
Efficiency Change ◽  
Photovoltaic Modules ◽  
Heating And Cooling ◽  
Pv Module ◽  
Pv Modules ◽  
Indoor Comfort

Recent studies on light shelves found that building energy efficiency could be maximized by applying photovoltaic (PV) modules to light shelf reflectors. Although PV modules generate a substantial amount of heat and change the consumption of indoor heating and cooling energy, performance evaluations carried out thus far have not considered these factors. This study validated the effectiveness of PV module light shelves and determined optimal specifications while considering heating and cooling energy savings. A full-scale testbed was built to evaluate performance according to light shelf variables. The uniformity ratio was found to improve according to the light shelf angle value and decreased as the PV module installation area increased. It was determined that PV modules should be considered in the design of light shelves as their daylighting and concentration efficiency change according to their angles. PV modules installed on light shelves were also found to change the indoor cooling and heating environment; the degree of such change increased as the area of the PV module increased. Lastly, light shelf specifications for reducing building energy, including heating and cooling energy, were not found to apply to PV modules since PV modules on light shelf reflectors increase building energy consumption.

scholarly journals Building energy modelling for the energy performance analysis of a hospital building in various locations

2019 ◽  
Vol 111 ◽  
pp. 06073 ◽  
Author(s):  
Ioan Silviu Dobosi ◽  
Cristina Tanasa ◽  
Nicoleta-Elena Kaba ◽  
Adrian Retezan ◽  
Dragos Mihaila
Keyword(s):  
European Union ◽  
Building Energy ◽  
Energy Performance ◽  
Building Envelope ◽  
The European Union ◽  
Total Energy Consumption ◽  
Building Stock ◽  
Heating And Cooling ◽  
Key Factor ◽  
Hospital Building

The building sector has been identified as having the greatest energy reduction potential and therefore represents a key factor for the European Union climate change combat objectives of achieving an 80-95% greenhouse gas emissions reduction by 2050. Hospitals buildings represent 7% of the nonresidential building stock in the European Union and are responsible for approximately 10% of the total energy consumption in this sector. The design and construction of hospital buildings is a complex and challenging activity for all the involved specialists, especially when energy performance is one of the objectives. This paper discusses the energy performance simulation on an hourly basis of a new hospital building that was constructed in the city of Mioveni, Romania. At this stage of the study, the building energy model solely investigates the performance of the building envelope, without modelling the HVAC system. The complexity of the building model derives from the multitude of thermal zones depending on interior temperature and ventilation air changes conditions. Several simulations are performed investigating the heating and cooling energy need depending on the building location.

scholarly journals Thermal mass impact on energy performance of a low, medium and heavy mass building in Belgrade

2012 ◽  
Vol 16 (suppl. 2) ◽  
pp. 447-459 ◽  
Author(s):  
Bojan Andjelkovic ◽  
Branislav Stojanovic ◽  
Mladen Stojiljkovic ◽  
Jelena Janevski ◽  
Milica Stojanovic
Keyword(s):  
Building Energy ◽  
Energy Performance ◽  
Office Building ◽  
Energy Requirements ◽  
Space Heating ◽  
Thermal Mass ◽  
Mass Concrete ◽  
Building Energy Performance ◽  
Heating And Cooling ◽  
Space Cooling

Heavy mass materials used in building structures and architecture can significantly affect building energy performance and occupant comfort. The purpose of this study was to investigate if thermal mass can improve the internal environment of a building, resulting in lower energy requirements from the mechanical systems. The study was focused on passive building energy performance and compared annual space heating and cooling energy requirements for an office building in Belgrade with several different applications of thermal mass. A three-dimensional building model was generated to represent a typical office building. Building shape, orientation, glazing to wall ratio, envelope insulation thickness, and indoor design conditions were held constant while location and thickness of building mass (concrete) was varied between cases in a series of energy simulations. The results were compared and discussed in terms of the building space heating and cooling energy and demand affected by thermal mass. The simulation results indicated that with addition of thermal mass to the building envelope and structure: 100% of all simulated cases experienced reduced annual space heating energy requirements, 67% of all simulated cases experienced reduced annual space cooling energy requirements, 83% of all simulated cases experienced reduced peak space heating demand and 50% of all simulated cases experienced reduced peak space cooling demand. The study demonstrated that there exists a potential for reducing space heating and cooling energy requirements with heavy mass construction in the analyzed climate region (Belgrade, Serbia).

Continuous Monitoring, Modeling, and Evaluation of Actual Building Energy Systems

2014 ◽  
Author(s):  
Maxim L. Sankey ◽  
Sheldon M. Jeter ◽  
Trevor D. Wolf ◽  
Donald P. Alexander ◽  
Gregory M. Spiro ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Continuous Monitoring ◽  
Energy System ◽  
Building Energy ◽  
Energy Performance ◽  
Weather Data ◽  
Practical Procedure ◽  
Heating And Cooling ◽  
Institute Of Technology

Residential and commercial buildings account for more than 40% of U.S. energy consumption, most of which is related to heating, ventilation and air conditioning (HVAC). Consequently, energy conservation is important to building owners and to the economy generally. In this paper we describe a process under development to continuously evaluate a building’s heating and cooling energy performance in near real-time with a procedure we call Continuous Monitoring, Modeling, and Evaluation (CMME). The concept of CMME is to model the expected operation of a building energy system with actual weather and internal load data and then compare modeled energy consumption with actual energy consumption. For this paper we modeled two buildings on the Georgia Institute of Technology campus. After creating our building models, internal lighting loads and equipment plug-loads were collected through electrical sub-metering, while the building occupancy load was recorded using doorway mounted people counters. We also collected on site weather and solar radiation data. All internal loads were input into the models and simulated with the actual weather data. We evaluated the building’s overall performance by comparing the modeled heating and cooling energy consumption with the building’s actual heating and cooling energy consumption. Our results demonstrated generally acceptable energy performance for both buildings; nevertheless, certain specific energy inefficiencies were discovered and corrective actions are being taken. This experience shows that CMME is a practical procedure for improving the performance of actual well performing buildings. With improved techniques, we believe the CMME procedure could be fully automated and notify building owners in real-time of sub-optimal building performance.

Design of A GUI Tool for the Prediction of Building Energy Performance

2010 ◽  
Vol 29-32 ◽  
pp. 2789-2793
Author(s):  
Cheng Wen Yan ◽  
Jian Yao ◽  
Jin Xu
Keyword(s):  
Bp Neural Network ◽  
Energy Efficient ◽  
Building Energy ◽  
Energy Performance ◽  
Building Envelope ◽  
Building Energy Efficiency ◽  
Building Energy Performance ◽  
Mathematical Equations ◽  
Building Physics ◽  
Energy Efficient Building

In the present study a GUI tool for the prediction of building energy performance based on a three-layered BP neural network and MATLAB was developed. The inputs for this tool are the 18 building envelope parameters. The outputs are building heating, cooling and total energy consumptions and the energy saving rate. Compared with the complicated mathematical equations, this tool provides a very easy and effective method for students to learn the effects of building envelope performance parameters on the building energy performance. Thus, this tool can be used in building physics and building energy efficiency courses for the design of energy efficient building.

Optimization of Energy Consumption Using BIM-Based Building Energy Performance Analysis

2013 ◽  
Vol 281 ◽  
pp. 649-652 ◽  
Author(s):  
Dae Kyo Jung ◽  
Dong Hwan Lee ◽  
Joo Ho Shin ◽  
Byung Hun Song ◽  
Seung Hee Park
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Cooling System ◽  
Optimization Technique ◽  
Building Energy ◽  
Energy Performance ◽  
Information Modeling ◽  
Building Energy Performance ◽  
Heating And Cooling

Recently, the interest in increasing energy efficiency of building energy management system (BEMS) has become a high-priority and thus the related studies also increased. In particular, since the energy consumption in terms of heating and cooling system takes a large portion of the energy consumed in buildings, it is strongly required to enhance the energy efficiency through intelligent operation and/or management of HVAC (Heating, Ventilation and Air Conditioning) system. To tackle this issue, this study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in Energyplus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the Energyplus environment. And then, the HVAC models are modified throughout the comparison between the energy consumption patterns and the real-time monitoring in-field data. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of “supply air temperature schedule”.

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