scholarly journals Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles

2008 ◽  
Vol 40 (8) ◽  
pp. 1426-1436 ◽  
Author(s):  
Shem Heiple ◽  
David J. Sailor
Keyword(s):  
Energy Consumption ◽  
High Resolution ◽  
Building Energy ◽  
Energy Simulation ◽  
Building Energy Simulation ◽  
Building Sector ◽  
Geospatial Modeling ◽  
Modeling Techniques

A Multi-Zone Building Energy Simulation of a Data Center Model With Hot and Cold Aisles

2013 ◽  
Author(s):  
Long Phan ◽  
Cheng-Xian Lin ◽  
Mirko Schäfer
Keyword(s):  
Energy Consumption ◽  
Boundary Conditions ◽  
Data Center ◽  
Building Energy ◽  
Energy Simulation ◽  
Building Energy Simulation ◽  
Simulation Code ◽  
Climate Conditions ◽  
Wall Boundary ◽  
Wall Boundary Conditions

In this paper, a building energy simulation code, EnergyPlus, was used to study selected important conditions, i.e. wall boundary conditions and locations, which potentially affect the energy consumption and thermal management of a popular data center model. The data center model having 1120 servers distributed in four rows of rack was investigated under two major climate conditions — hot and humid (Miami, FL), and cool and humid (Chicago, IL), and under five different wall boundary conditions. The data center model was first simulated under a well-mixed single-zone condition as a baseline. Then, a multi-zone approach was proposed to resolve the hot and cold aisles and used to investigate the data center performance. Both monthly and annual overall energy consumption as well as cooling load reports were analyzed and compared among various boundary conditions. In addition, monthly thermal behavior of hot and cold aisle zones within the data center was analyzed. The simulation results show that thermal performance of the data center is significantly affected by locations or climate conditions. The effects of location and wall boundary conditions are particularly appreciable during the summer and winter seasons.

Building Energy Simulation with On-Site Weather Station

2016 ◽  
Vol 859 ◽  
pp. 88-92 ◽  
Author(s):  
Radu Manescu ◽  
Ioan Valentin Sita ◽  
Petru Dobra
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Building Energy Simulation ◽  
Existing Buildings ◽  
Existing Building ◽  
Simulation Tools ◽  
Heating And Cooling

Energy consumption awareness and reducing consumption are popular topics. Building energy consumption counts for almost a third of the global energy consumption and most of that is used for building heating and cooling. Building energy simulation tools are currently gaining attention and are used for optimizing the design for new and existing buildings. For O&M phase in existing buildings, the multiannual average weather data used in the simulation tools is not suitable for evaluating the performance of the building. In this study an existing building was modeled in EnergyPlus. Real on-site weather data was used for the dynamic simulation for the heating energy demand with the aim of comparing the measured energy consumption with the simulated one. The aim is to develop an early fault detection tool for building management.

The Influence of Street Geometry on Building’s Energy Consumption in Different Climate Zones

2012 ◽  
Vol 178-181 ◽  
pp. 147-150
Author(s):  
Nan Wang ◽  
Mahjoub Elnimeiri
Keyword(s):  
Energy Consumption ◽  
Urban Planning ◽  
Energy Efficient ◽  
Building Energy ◽  
Simulation Software ◽  
Energy Simulation ◽  
Community Design ◽  
Building Energy Simulation ◽  
Climate Condition ◽  
Climate Zones

This research explores the influence of different street geometry towards reducing the energy consumption in buildings by utilizing building energy simulation software. In different climate condition, the different street geometry has different influence on building’s energy consumption. This influence is quantified in this research. It is found that in three climate zones – Beijing, Shanghai and Guangzhou, the energy consumption of buildings is changed according to different H/W ratio of buildings. This finding determines that the optimum street geometry will be different in these climate zones. The designers should consider such difference before doing architecture or urban planning work. This research will also provide some suggestions and recommendations to the energy-efficient community design based on the findings.

Building Energy Simulation for LEED Qualification on a Commercial Building in China

2012 ◽  
Vol 193-194 ◽  
pp. 258-269 ◽  
Author(s):  
Ching Hin Law ◽  
Jian Kun Yang ◽  
Xiang Yang Jiang
Keyword(s):  
Energy Consumption ◽  
Energy Cost ◽  
Building Energy ◽  
Energy Performance ◽  
Energy Simulation ◽  
Building Energy Simulation ◽  
Commercial Building ◽  
Simulation Process

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.

Exploring and verifying BIM-based energy simulation for building operations

2020 ◽  
Vol 27 (8) ◽  
pp. 1679-1702
Author(s):  
Hong Xian Li ◽  
Zhiliang Ma ◽  
Hexu Liu ◽  
Jun Wang ◽  
Mohamed Al-Hussein ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Energy Performance ◽  
Energy Simulation ◽  
Information Modeling ◽  
Building Energy Simulation ◽  
Content Type ◽  
Simulation Tools ◽  
Building Information ◽  
Simulation Results

PurposeThe operational phase of a building's lifecycle is receiving increasing attention, as it consumes an enormous amount of energy and results in tremendous detrimental impacts on the environment. While energy simulation can be applied as a tool to evaluate the energy performance of a building in operation, the emergence of Building Information Modeling (BIM) technology is expected to facilitate the evaluation process with predefined and enriched building information. However, such an approach has been confronted by the challenge of interoperability issues among the related application software, including the BIM tools and energy simulation tools, and the results of simulation have been seldom verified due to the unavailability of corresponding experimental data. This study aims to explore the interoperability between the commonly used energy simulation and BIM tools and verifies the simulation approach by undertaking a case study.Design/methodology/approachWith Autodesk Revit and EnergyPlus selected as the commonly used BIM and energy simulation tools, respectively, a valid technical framework of transferring building information between two tools is proposed, and the interoperability issues that occur during the data transfer are studied. The proposed framework is then employed to simulate the energy consumption of a single-family house, and sensitivity analysis and analysis on such parameters as schedule are conducted for building operations to showcase its applicability.FindingsThe simulation results are compared with monitored data and the results from another simulation tool, HOT2000; the comparison reveals that EnergyPlus and HOT2000 predict the total energy consumption with a difference from the monitoring data of 8.0 and 7.1%, respectively.Practical implicationsThis research shows how to efficiently use BIM to support building energy simulation. Relevant stakeholders can learn from this research to avoid data loss during BIM model transformation.Originality/valueThis research explores the application of BIM for building energy simulation, compares the simulation results among different tools and validates simulation results using monitored data.

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