Regression models for predicting UK office building energy consumption from heating and cooling demands

2013 ◽  
Vol 59 ◽  
pp. 214-227 ◽  
Author(s):  
Ivan Korolija ◽  
Yi Zhang ◽  
Ljiljana Marjanovic-Halburd ◽  
Victor I. Hanby
Keyword(s):  
Energy Consumption ◽  
Regression Models ◽  
Building Energy ◽  
Office Building ◽  
Building Energy Consumption ◽  
Heating And Cooling

scholarly journals Long-Term Prediction of Weather for Analysis of Residential Building Energy Consumption in Australia

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4805
Author(s):  
Shu Chen ◽  
Zhengen Ren ◽  
Zhi Tang ◽  
Xianrong Zhuo
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Residential Building ◽  
Building Energy ◽  
Space Heating ◽  
Building Energy Consumption ◽  
Climate Zones ◽  
Impact Of Climate Change ◽  
Heating And Cooling ◽  
The Impact

Globally, buildings account for nearly 40% of the total primary energy consumption and are responsible for 20% of the total greenhouse gas emissions. Energy consumption in buildings is increasing with the increasing world population and improving standards of living. Current global warming conditions will inevitably impact building energy consumption. To address this issue, this report conducted a comprehensive study of the impact of climate change on residential building energy consumption. Using the methodology of morphing, the weather files were constructed based on the typical meteorological year (TMY) data and predicted data generated from eight typical global climate models (GCMs) for three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5) from 2020 to 2100. It was found that the most severe situation would occur in scenario RCP8.5, where the increase in temperature will reach 4.5 °C in eastern Australia from 2080–2099, which is 1 °C higher than that in other climate zones. With the construction of predicted weather files in 83 climate zones all across Australia, ten climate zones (cities)—ranging from heating-dominated to cooling-dominated regions—were selected as representative climate zones to illustrate the impact of climate change on heating and cooling energy consumption. The quantitative change in the energy requirements for space heating and cooling, along with the star rating, was simulated for two representative detached houses using the AccuRate software. It could be concluded that the RCP scenarios significantly affect the energy loads, which is consistent with changes in the ambient temperature. The heating load decreases for all climate zones, while the cooling load increases. Most regions in Australia will increase their energy consumption due to rising temperatures; however, the energy requirements of Adelaide and Perth would not change significantly, where the space heating and cooling loads are balanced due to decreasing heating and increasing cooling costs in most scenarios. The energy load in bigger houses will change more than that in smaller houses. Furthermore, Brisbane is the most sensitive region in terms of relative space energy changes, and Townsville appears to be the most sensitive area in terms of star rating change in this study. The impact of climate change on space building energy consumption in different climate zones should be considered in future design strategies due to the decades-long lifespans of Australian residential houses.

Impact of Building Orientation and Window-Wall Ratio on the Office Building Energy Consumption

2013 ◽  
Vol 409-410 ◽  
pp. 606-611 ◽  
Author(s):  
Zhen Yu ◽  
Wei Lin Zhang ◽  
Ting Yong Fang
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Building Energy ◽  
Simulation Software ◽  
Office Building ◽  
Building Energy Consumption ◽  
Total Energy Consumption ◽  
Building Orientation ◽  
Heating Energy Consumption ◽  
Energy Consumption Simulation

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.

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.

scholarly journals Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3210 ◽  
Author(s):  
Chao Ding ◽  
Nan Zhou
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Density ◽  
Building Design ◽  
Building Energy ◽  
Building Envelope ◽  
Stochastic Simulations ◽  
Office Building ◽  
Design Parameters ◽  
Building Energy Consumption

Building energy consumption accounts for 36% of the overall energy end use worldwide and is growing rapidly as developing countries continue to urbanize. Understanding the energy use at urban scale will lay the foundation for identification of energy efficiency opportunities to be deployed at speed. China has almost half of global new constructions and plays an important role in building suitability. However, an open source national building energy consumption database is not available in China. To provide data support for building energy consumptions, this paper used a simulation method to develop an urban building energy consumption database for a pilot city in Wuhan, China. First, residential, small, and large office building archetype energy models were created in EnergyPlus to represent typical building energy consumption in Wuhan. The baseline reference model simulation results were further validated using survey data from the literature. Second, stochastic simulations were conducted to consider different design parameters and occupants’ energy usage intensity scenarios, such as thermal properties of the building envelope, lighting power density, equipment power density, HVAC (heating, ventilation and air conditioning) schedule, etc. A building energy consumption database was generated for typical building archetypes. Third, data-driven regression analysis was conducted to support quick building energy consumption prediction using key high- level building information inputs. Finally, a web-based urban energy platform and an interface were developed to support further third-party application development. The research is expected to provide fast energy efficiency building design solutions for urban planning, new constructions as well as building retrofits.

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