Study on the future weather data considering the global and local climate change for building energy simulation

2015 ◽  
Vol 14 ◽  
pp. 404-413 ◽  
Author(s):  
Hideki Kikumoto ◽  
Ryozo Ooka ◽  
Yusuke Arima ◽  
Toru Yamanaka
Keyword(s):  
Climate Change ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Building Energy Simulation ◽  
Local Climate ◽  
The Future ◽  
Local Climate Change ◽  
Global And Local

scholarly journals Integrating climate change into meteorological weather data for building energy simulation

2019 ◽  
Vol 183 ◽  
pp. 749-760 ◽  
Author(s):  
Sleiman Farah ◽  
David Whaley ◽  
Wasim Saman ◽  
John Boland
Keyword(s):  
Climate Change ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Building Energy Simulation

scholarly journals CONSERVATION AND STUDY OF GRAPEVINEGENETIC RESOURCES ON THE COLLECTION IN THE LOWER DON REGION IN 2020

Russian vine ◽  
2021 ◽  
Vol 16 ◽  
pp. 27-35
Author(s):  
L.G. Naumova ◽  
◽  
V.A. Ganich ◽  
Keyword(s):  
Climate Change ◽  
Gene Pool ◽  
Technological Properties ◽  
High Quality ◽  
Local Climate ◽  
Rostov Region ◽  
Local Climate Change ◽  
Grape Varieties ◽  
Global And Local ◽  
Growing Region

The article presents the results of work on conservation and study of grapevine genetic resources at the Don ampelographic collec-tion named afterYa.I.Potapenko (Novocher-kassk, Rostov region) in 2020. In the context of global and local climate change, the most relevant direction in the development of modern viticulture is the improvement of the grape assortment by introducing varieties that are resistant to adverse environmental factors and more fully realize their productivity po-tential in a particular growing region. The purpose of the research is to preserve (with annual replenishment) and study the gene pool of grapes of various ecological and geo-graphical origin in the collection. The distri-bution of varieties by ripening terms, produc-tivity, uvological indicators has been carried out. 53 varieties of grapes were transferred for micro-winemaking, of which 23 are na-tive Don varieties. In 2020, the collection's gene pool was replenished with 5 grape varie-ties (Baikonur, Galahad, Meskhei,Novyj Po-darok Zaporozhyu, Kishmish Novocher-kassky); to preserve the gene pool, replanting and repairs were carried out (by the method of green inoculation in place). The varieties - Tsimlyanskiy Sergienko and Bessergenevskiy No. 7 were identified as valuable genotypes with high technological properties for high-quality winemaking; the database was sup-plemented with ampelographic descriptions of 50 grape varieties growing on the collec-tion.

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.

scholarly journals Global and Local Discourses on Climate Change: A Perspective from the Concept of Embeddedness

1970 ◽  
Vol 4 ◽  
pp. 143-180 ◽  
Author(s):  
Jailab Kumar Rai
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
National Policy ◽  
Local Climate ◽  
Cultural Discourses ◽  
Political Processes ◽  
Local Climate Change ◽  
Local Discourses ◽  
Global And Local

Climate change has been becoming a major order of business of all including researchers and academics. This is known that global, national and local organizations, institutions and even the individuals are partaking into the issues with their own perspectives and skills of negotiations. Despite the series of international efforts and attempts, there are also a series of national concerns, efforts and attempts in combating against the effects of global climate change. This paper is an attempt to draw on the overview of contexts and concerns of international communities for combating global climate change and its discursive influence in national policy discourses. Moreover, the paper attempts to assess the local socio-cultural discourses and dynamics of climate change in relation to global and national discourses. Finally the paper highlights on how global and local climate change knowledge networks and epistemic communities either from political processes or the socio-economic fabrics are interrelated and determinant to each other. Keywords: climate change; discourses; embeddeness; dynamics; global; local DOI: 10.3126/dsaj.v4i0.4518 Dhaulagiri Journal of Sociology and Anthropology Vol.4 2010 pp.143-180

scholarly journals Modelling the Impacts of Climate Change on Building Heating and Cooling Energy Use in Toronto

2021 ◽  
Author(s):  
Pouriya Jafarpur
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Energy Use ◽  
Dynamical Downscaling ◽  
Ghg Emissions ◽  
Building Energy ◽  
Weather Data ◽  
Existing Building ◽  
Average Decrease ◽  
The Future

The study describes the results of climate change impact assessment on building energy use in Toronto, Canada. Accordingly, three future weather data sets are generated and applied to the energy simulation of 16 building prototypes. Both statistical and dynamical downscaling techniques are used to generate the future weather files. The results indicate an average decrease for the future in the range of 18-33% in heating EUI, and an average increase of 16-126% in cooling EUI, depending on the baseline climate and building type. In addition, the GHG emissions for each building model are presented. It is concluded that the application of future weather files for building performance simulation leads to a better quantification of building energy demand in the future than a historical weather file. Furthermore, the results demonstrate the need to modify and adapt existing building modelling regulations and to plan future building according to the future climate.

Procedures for Calibrating Hourly Simulation Models to Measured Building Energy and Environmental Data

1998 ◽  
Vol 120 (3) ◽  
pp. 193-204 ◽  
Author(s):  
J. S. Haberl ◽  
T. E. Bou-Saada
Keyword(s):  
Goodness Of Fit ◽  
Building Energy ◽  
Building Envelope ◽  
Energy Simulation ◽  
Environmental Data ◽  
Simulation Program ◽  
Weather Data ◽  
Mean Bias Error ◽  
Building Energy Simulation ◽  
Calibration Methods

This paper discusses procedures for creating calibrated building energy simulation programs. It begins with reviews of the calibration techniques that have been reported in the previous literature and presents new hourly calibration methods including a temperature bin analysis to improve hourly x−y scatter plots, a 24-hour weather-daytype bin analysis to allow for the evaluation of hourly temperature and schedule dependent comparisons, and a 52-week bin analysis to facilitate the evaluation of long-term trends. In addition, architectural rendering is reviewed as a means of verifying the dimensions of the building envelope and external shading placement as seen by the simulation program. Several statistical methods are also presented that provide goodness-of-fit indicators, including percent difference calculations, mean bias error (MBE), and the coefficient of variation of the root mean squared error (CV(RMSE)). The procedures are applied to a case study building located in Washington, D. C. where nine months of hourly whole-building electricity data and sitespecific weather data were measured and used with the DOE-2.1D building energy simulation program to test the new techniques. Simulations that used the new calibration procedures were able to produce an hourly MBE of –0.7% and a CV(RMSE) of 23.1% which compare favorably with the most accurate hourly neural network models (Kreider and Haberl, 1994a, b).

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