scholarly journals Influence of the Meteorological Record Length on the Generation of Representative Weather Files

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2103
Author(s):  
Michele Libralato ◽  
Giovanni Murano ◽  
Alessandra De Angelis ◽  
Onorio Saro ◽  
Vincenzo Corrado
Keyword(s):  
Strong Dependence ◽  
Building Energy ◽  
Weather Data ◽  
Air Temperatures ◽  
Change Effect ◽  
Climate Change Effect ◽  
The Common ◽  
Energy Simulations ◽  
Heat And Moisture ◽  
Weather Record

Heat and moisture (HM) transfer simulations of building envelopes and whole building energy simulations require adequate weather files. The common approach is to use weather data of reference years constructed from meteorological records. The weather record affects the capability of representing the real weather of the resulting reference years. In this paper the problem of the influence of the length of the records on the representativeness of the reference years is addressed and its effects are evaluated also for the applicative case of the moisture accumulation risk analysis with the Glaser Method and with DELPHIN 6, confirming that records shorter than 10 years could lead to less representative reference years. On the other hand, it is shown that reference years obtained from longer periods are not representative of the most recent years, which present higher dry-bulb air temperatures due to a short-term climate change effect observed in all the considered weather records. An alternative representative year (Moisture Representative Year) to be used in building energy simulations with a strong dependence on moisture is presented.

Statistical Understanding and Optimization of Building Energy Consumption and Climate Change Consequences

2021 ◽  
pp. 195-220
Author(s):  
José Antonio Orosa ◽  
Diego Vergara ◽  
Feliciano Fraguela ◽  
Antonio Masdías-Bonome
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Weibull Model ◽  
Building Energy ◽  
Calculation Procedure ◽  
Building Energy Consumption ◽  
Existing Building ◽  
Change Effect ◽  
Weibull Models ◽  
Climate Change Effect

In the present chapter, a new tool was designed to find a better alternative for improving building energy consumption in the next years. In this sense, in the first stage of this calculation procedure, ISO Standard 13790 calculation procedure was developed in accordance with Monte Carlo method and results showed the probability of energy consumption as a Weibull model. Furthermore, a map of different Weibull models in accordance with different input parameters and future climate change effect was developed as a future building design guide. This tool defines the probability of energy consumption of an existing building, or a building that is being designed today and in the near future, preventing the climate change effect. More applications at the time of building retrofitting and healthy indoor ambiences are proposed.

scholarly journals Updated Typical Weather Years for the Energy Simulation of Buildings in Mediterranean Climate. A Case Study for Sicily

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4115 ◽  
Author(s):  
Vincenzo Costanzo ◽  
Gianpiero Evola ◽  
Marco Infantone ◽  
Luigi Marletta
Keyword(s):  
Residential Building ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Weather Station ◽  
Simulation Tools ◽  
The Difference ◽  
Energy Simulations

Building energy simulations are normally run through Typical Weather Years (TWYs) that reflect the average trend of local long-term weather data. This paper presents a research aimed at generating updated typical weather files for the city of Catania (Italy), based on 18 years of records (2002–2019) from a local weather station. The paper reports on the statistical analysis of the main recorded variables, and discusses the difference with the data included in a weather file currently available for the same location based on measurements taken before the 1970s but still used in dynamic energy simulation tools. The discussion also includes a further weather file, made available by the Italian Thermotechnical Committee (CTI) in 2015 and built upon the data registered by the same weather station but covering a much shorter period. Three new TWYs are then developed starting from the recent data, according to well-established procedures reported by ASHRAE and ISO standards. The paper discusses the influence of the updated TWYs on the results of building energy simulations for a typical residential building, showing that the cooling and heating demand can differ by 50% or even 65% from the simulations based on the outdated weather file.

scholarly journals The study of potential evapotranspiration in future periods due to climate change in west of Iran

2018 ◽  
Vol 10 (1) ◽  
pp. 161-177 ◽  
Author(s):  
Ahmad Rajabi ◽  
Zahra Babakhani
Keyword(s):  
Climate Change ◽  
Potential Evapotranspiration ◽  
Circulation Model ◽  
Weather Data ◽  
Maximum Temperature ◽  
Global Circulation Model ◽  
Content Type ◽  
Global Circulation ◽  
Change Effect ◽  
Climate Change Effect

Purpose This study aims to present the climate change effect on potential evapotranspiration (ETP) in future periods. Design/methodology/approach Daily minimum and maximum temperature, solar radiation and precipitation weather parameters have been downscaled by global circulation model (GCM) and Lars-WG outputs. Weather data have been estimated according to the Had-CM3 GCM and by A1B, A2 and B1 scenarios in three periods: 2011-2030, 2045-2046 and 2080-2099. To select the more suitable method for ETP estimation, the Hargreaves-Samani (H-S) method and the Priestly–Taylor (P-T) method have been compared with the Penman-Monteith (P-M) method. Regarding the fact that the H-S method has been in better accordance with the P-M method, ETP in future periods has been estimated by this method for different scenarios. Findings In all five stations, in all three scenarios and in all three periods, ETP will increase. The highest ETP increase will occur in the A1B scenario and then in the A1 scenario. The lowest increase will occur in the B1 scenario. In the 2020 decade, the highest ETP increase in three scenarios will occur in Khorramabad and then Hamedan. Kermanshah, Sanandaj and Ilam stations come at third to fifth place, respectively, with a close increase in amount. In the 2050 decade, ETP increase percentages in all scenarios are close to each other in all the five stations. In the 2080 decade, ETP increase percentages in all scenarios will be close to each other in four stations, namely, Kermanshah, Sanandaj, Khorramabad and Hamedan, and Ilam station will have a higher increase compared with the other four stations. Originality/value Meanwhile, the highest ETP increase will occur in hot months of the year, which are significant with regard to irrigation and water resources.

Generating test reference years from the UKCP09 projections and their application in building energy simulations

2011 ◽  
Vol 33 (4) ◽  
pp. 387-406 ◽  
Author(s):  
H Du ◽  
CP Underwood ◽  
JS Edge
Keyword(s):  
Climate Change ◽  
Carbon Emission ◽  
Building Energy ◽  
Weather Data ◽  
Research Groups ◽  
Future Time ◽  
Climate Change Projections ◽  
Time Horizons ◽  
Energy Simulations ◽  
Operative Temperatures

In this study, test reference year (TRY) data for three UK cities are generated from the new UKCP09 climate change projections 1 for a variety of future time horizons and carbon emission scenario assumptions. The data are applied to the energy simulation of three commercial buildings and one house for the three city locations (London, Manchester and Edinburgh), three future time horizons in this century and three carbon emission scenarios. Results are compared with those generated using alternative TRYs from two other research groups who used UKCP09 1 as well as with the existing TRY data sets which form the CIBSE Future Weather Years 2 in order to produce robust results. Results of future simulations of peak summer operative temperatures, peak cooling demand, annual cooling energy, peak heating demand and annual heating energy are presented for the four building case studies benchmarked against control weather data for the period 1960–1989. The results show increasing internal operative temperatures (non-air-conditioned) and increasing air-conditioning demands (air-conditioned) throughout this century and though peak heating demands remain similar to control data, annual heating energy consumptions can be expected to fall sharply. Practical applications: Currently, practitioners can use Test Reference Years for use in building energy simulations. In 2009, the CIBSE released Future Weather Years, which go further by allowing practitioners to explore the thermal and comfort behaviour of buildings at future time horizons thus helping to ‘future proof’ a design. In 2009, the United Kingdom Climate Impacts Programme released a new generation of climate change scenario data (the UKCP09 climate change projections) using probabilistic methods. These are the most comprehensive data yet and provides a greater degree of detail than was available to generate the CIBSE Future Weather Years. It is therefore likely that the new data will gradually become the normal basis for investigating future building thermal and comfort response. In this study, a sample of TRY is generated from the UKCP09 data and applied to the simulation of a sample of ‘real’ buildings. The results are compared with both the existing CIBSE Future Weather Years as well as with Test Reference Years generated using UKCP09 by two other research groups. The results provide a robust way forward for simulating building thermal and comfort response using future weather data.

scholarly journals Evaluation of Multiyear Weather Data Effects on Hygrothermal Building Energy Simulations Using WUFI Plus

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7157
Author(s):  
Michele Libralato ◽  
Alessandra De Angelis ◽  
Giulia Tornello ◽  
Onorio Saro ◽  
Paola D’Agaro ◽  
...  
Keyword(s):  
Building Materials ◽  
Moisture Transfer ◽  
Weather Conditions ◽  
Building Energy ◽  
Building Envelope ◽  
Weather Data ◽  
Building Simulations ◽  
Coupled Heat And Moisture ◽  
Single Number ◽  
Energy Simulations

Transient building energy simulations are powerful design tools that are used for the estimation of HVAC demands and internal hygrothermal conditions of buildings. These calculations are commonly performed using a (often dated) typical meteorological year, generated from past weather measurements excluding extreme weather conditions. In this paper the results of multiyear building simulations performed considering coupled Heat and Moisture Transfer (HMT) in building materials are presented. A simple building is simulated in the city of Udine (Italy) using a weather record of 25 years. Performing a multiyear simulation allows to obtain a distribution of results instead of a single number for each variable. The small therm climate change is shown to influence thermal demands and internal conditions with multiyear effects. From this results it is possible to conclude that weather records used as weather files have to be periodically updated and that moisture transfer is relevant in energy and comfort calculations. Moreover, the simulations are performed using the software WUFI Plus and it is shown that using a thermal model for the building envelope could be a non negligible simplification for the comfort related calculations.

scholarly journals Hourly test reference weather data in the changing climate of Finland for building energy simulations

Data in Brief ◽  
2015 ◽  
Vol 4 ◽  
pp. 162-169 ◽  
Author(s):  
Kirsti Jylhä ◽  
Kimmo Ruosteenoja ◽  
Juha Jokisalo ◽  
Karoliina Pilli-Sihvola ◽  
Targo Kalamees ◽  
...  
Keyword(s):  
Building Energy ◽  
Weather Data ◽  
Changing Climate ◽  
Energy Simulations

scholarly journals The Relation of Meteorological Elements with AOD for Building Energy Consumption

2018 ◽  
Vol 2018 ◽  
pp. 1-20
Author(s):  
Hong Soo Lim ◽  
Gon Kim
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Common Assumption ◽  
Statistical Correlations ◽  
The Common ◽  
Statistical Relationships ◽  
Energy Simulations ◽  
Meteorological Elements

This study presents statistical relationships between various meteorological elements in Seoul city. It also discusses the vitality of the obtained relationship on the modelling of building energy consumption. The data utilized in statistical evaluations was obtained from the archives of the Korean Meteorological Agency (KMA) for a period of four years. Another set of data was derived from state-of-the-art equations. The used elements aside from aerosols are used for analysis in building energy simulations. For each weather element in the study, frequency and a monthly average are presented. Furthermore, statistical correlations are presented: solar radiation and temperature, solar radiation and sky cover, and solar radiation and aerosol optical depth (AOD). The results indicate that the common assumption of a direct relationship between temperature and solar radiation is rather incorrect. In addition, whereas high solar altitudes are usually associated with high levels of solar radiation, the obtained results indicate a relatively weak relationship between the two variables (R2 = 0.463). The obtained results are proof that the effect of meteorological elements on, say, a building is not a single direct effect from a single variable but rather a combination of relationships between variables, which then produce a single effect.

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