Near-extreme summer meteorological data set for sub-tropical climates

2016 ◽  
Vol 38 (2) ◽  
pp. 197-208 ◽  
Author(s):  
Kevin Ka-Lun Lau ◽  
Edward Yan-Yung Ng ◽  
Pak-Wai Chan ◽  
Justin Ching-Kwan Ho

Building performance simulation requires representative weather data of specific locations. Test Reference Year (TRY) and Typical Meteorological Year (TMY) are common hourly dataset for typical year conditions. In sub-tropical climates, overheating is very common in buildings due to high temperature and intense solar radiation. However, there are no universal approaches to develop a dataset for estimating summer discomfort in naturally ventilated and free-running buildings. This article employs the concept of Summer Reference Years (SRY) in order to represent the near-extreme summer conditions in Hong Kong. The derived SRY is able to capture the near-extreme conditions in the multi-year series. The SRY was found to represent the high Tdry values reasonably well during daytime when such near-extreme conditions occur. On the contrary, according to the number of HN-DHs, the SRY does not satisfactorily represent high night-time Tdry. It is possible to incorporate the sorting of Tdry-min in the SRY adjustment in order to better reflect night-time situations in sub-tropical climate. Further studies are therefore required to confirm whether such modifications give more accurate results in the assessment of building energy performance. Nonetheless, the SRY dataset can be applied in building performance simulation and the assessment of indoor thermal comfort. Practical application: The present study found that there are deficiencies for the SRY to represent the high night-time Tdry, which affects the building performance assessment in sub-tropical climates. It suggests potential improvement to the existing adjustment of SRY for representing the near-extreme summer conditions in order to obtain more accurate results of building assessment.

2020 ◽  
Author(s):  
Yi Huang ◽  
Yufan Xiao ◽  
Fan Yu

Abstract Background: The existing heritage buildings are considered as symbols of the original spirit of a city, which also contains vitality and resilience through centuries. In Qingdao, the Liyuan courtyard styles are still existed as a very regional and representative colonial residential architecture form in the urban development history from 1900s in this city. Method: The research here made the hypotheses of the heritage buildings can regain its authentic appearance while achieve energy efficiency in building performance through optimization and renovation strategies. The sustainability potentials assessment is discussed and evaluated with field investigation in a Liyuan building case study by on-site observation and building performance simulation analysis of two renovation options.Result and Discussion: One model with façade supplemented in the insulation layers in the envelope walls and another model with further upgrade with consideration of recycling materials mixed were discussed and estimated with building performance simulation method. Both scenarios improved the energy efficiency, while the advanced model could achieve better result in the building energy behavior dramatically.Conclusion: This research paper verified the hypotheses of sustainability embodied in Liyuan buildings. It also confirmed the vitality and resilience could be regained through history with considerable and reasonable guideline in strategy together with personal alternatives. Technologies innovation helps to improve their energy performance by reducing consumption or self-supplying on the existing buildings renovation actions. Every specific choices of renovation action could achieve low energy goals and impose optional positive effects on the behavior of the living comfort preference. Multicriteria considerations might influence the balanced between different factors when making decisions in the heritage building restoration and it is expected to empower the fresh glory in the development of heritage building protection and restoration.


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1936 ◽  
Author(s):  
Xiaonuan Sun ◽  
Zhonghua Gou ◽  
Yi Lu ◽  
Yiqi Tao

This study investigated the process of existing building green retrofits through examining a Leadership in Energy and Environmental Design for Existing Building: Operations and Maintenance (LEED EBOM) Gold project. The project demonstrated a standard green retrofit process for existing buildings, which includes energy auditing, building performance simulation, and measurement and verification. In this project, four energy conservation measures were applied to improve energy performance: light-emitting diode (LED) lighting, window films, green roofs, and chilled water plant upgrading and optimization. The expected energy saving was 30% after the retrofit; while the actual energy saving was 16%. The error of building performance simulation was one of uncertainties in this retrofit project. Occupancy conditions might be the main reason for this uncertainty. Strengths, weaknesses, opportunities and threats were identified and discussed for the green retrofit. The research results could be used to optimize the existing building retrofit process for better energy performance.


2013 ◽  
Vol 4 (2) ◽  
pp. 143-149
Author(s):  
K. Minarovičová ◽  
R. Rabenseifer

Abstract The article presents environmental analysis of a detached house in terms of its life cycle. The analysis is simplified in order to compare the built and operational energy of the building whereas the operational energy is described using computer aided building performance simulation. The input data related to the built (embodied) energy are based on information from classical works on life cycle analysis. The article also justifies the simplification of environmental analysis, which aims to build pragmatically on existing standardization and legislation on energy performance of buildings. The final section provides some considerations concerning the environmental assessment of buildings.


2019 ◽  
Vol 277 ◽  
pp. 03018
Author(s):  
James Pow Chew Wong

The building sector accounts for 19% of Australia's energy consumption and around 23% of the greenhouse gas emissions. In 2005, commercial buildings in Australia were responsible for 10% or 26 megatonnes (Mt) of the nation's greenhouse gas emissions. They are two effective ways to reduce the building sector's emissions, namely constructing new energy efficient buildings or retrofitting existing buildings. Due to the life expectancy of existing building stock the greatest reduction in emissions before 2030 could be achieved through retrofits. Building performance assessment and evaluation uses predictive modelling method to investigate and evaluate building performance in energy demands, thermal occupant comfort, indoor air quality, building retrofit options and many other related environmental and wellbeing aspects. This paper discussed the use of building performance simulation software to investigate the impacts of various retrofit options have onto energy performance of existing commercial buildings with heritage values in Australia. The research explores the use of thermal and airflow modelling in assisting understanding of building energy performance with various retrofit options applied to existing commercial buildings. The finding highlights the capabilities of building performance simulation software in decision making for building performance investigations.


2020 ◽  
Vol 181 ◽  
pp. 03004
Author(s):  
Sokol Dervishi ◽  
Sikris Karamani

The present paper explores the energy performance and thermal comfort conditions of an existing industrial building in Durres, Albania. The study analysis the building envelope retrofitting via building performance simulation. Measurements of indoor air temperature in two zones of the building were conducted Two retrofit scenarios were applied to evaluate the potential for improvement. Detailed construction activity, weather information, and occupancy patterns were applied in modelling the facility. In addition, detailed interior loads were considered including the machines used, occupancy and lighting operation patterns. The results provide an objective assessment of the actual energy performance and indoor environmental performance of the selected industrial building. The scenarios incorporate the use of thermal insulation of the walls and the roof, as well as modifying the roof design while increasing the ventilation regime during the summer period. The results suggest that improvements and insulations in building fabrics and ventilation regime could reduce the annual energy consumption up to 19 and reduce the monthly summer temperature up to 1.5 °C.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 802
Author(s):  
Kristian Skeie ◽  
Arild Gustavsen

In building thermal energy characterisation, the relevance of proper modelling of the effects caused by solar radiation, temperature and wind is seen as a critical factor. Open geospatial datasets are growing in diversity, easing access to meteorological data and other relevant information that can be used for building energy modelling. However, the application of geospatial techniques combining multiple open datasets is not yet common in the often scripted workflows of data-driven building thermal performance characterisation. We present a method for processing time-series from climate reanalysis and satellite-derived solar irradiance services, by implementing land-use, and elevation raster maps served in an elevation profile web-service. The article describes a methodology to: (1) adapt gridded weather data to four case-building sites in Europe; (2) calculate the incident solar radiation on the building facades; (3) estimate wind and temperature-dependent infiltration using a single-zone infiltration model and (4) including separating and evaluating the sheltering effect of buildings and trees in the vicinity, based on building footprints. Calculations of solar radiation, surface wind and air infiltration potential are done using validated models published in the scientific literature. We found that using scripting tools to automate geoprocessing tasks is widespread, and implementing such techniques in conjunction with an elevation profile web service made it possible to utilise information from open geospatial data surrounding a building site effectively. We expect that the modelling approach could be further improved, including diffuse-shading methods and evaluating other wind shelter methods for urban settings.


Sign in / Sign up

Export Citation Format

Share Document