Energy performance of buildings in Poland on the basis of different climatic data

2016 ◽  
Vol 26 (4) ◽  
pp. 551-566 ◽  
Author(s):  
Magdalena Grudzińska ◽  
Ewa Jakusik

Typical Meteorological Years (TMY) were prepared in Poland due to the introduction of obligatory energy certification for buildings. They are based on source data collected by the Institute of Meteorology and Water Management from 1971 to 2000. Predictions indicate that until the end of the 21st century, the air temperature will increase. Therefore, the characteristics obtained with the use of TMY may differ from the energy demand of buildings used nowadays. This article compares energy demand calculated with the use of TMY and subsequent climatic data from 2001 to 2012, for three different locations in Poland. The analyses were performed with the use of the dynamic simulation computer program, for typical living quarters in a multifamily residential building with different construction and window orientation. Results obtained with the use of TMY and subsequent climatic data show that the typical years can be used for the evaluation of heating demand. However, cooling demand calculated with the use of TMY was significantly lower in comparison with the mean cooling demand for the years 2001–2012. This may distort the energy needs and indoor environment conditions in summer, and cause discomfort or unnecessary energy use in presently occupied dwellings.

2014 ◽  
Vol 39 (2) ◽  
pp. 78-83
Author(s):  
Henk Visscher ◽  
Dasa Majcen ◽  
Laure Itard

The energy saving potential of the building stock is large and considered to be the most cost efficient to contribute to the CO2 reduction ambitions. Severe governmental policies steering on reducing the energy use seem essential to stimulate and enforce the improvement of the energy performance of buildings with a focus on reducing the heating and cooling energy demand. In Europe the Energy Performance of Buildings Directive is a driving force for member states to develop and strengthen energy performance regulations for new buildings and energy certificates for the building stock. The goals are to build net zero energy new buildings in 2020 and to reach a neutral energy situation in the whole stock by 2050. More and more research projects deliver insight that the expected impact of stricter regulations for newly built houses is limited and the actual effects of energy savings through housing renovations stay behind the expectations. Theoretical energy use calculated on base of the design standard for new houses and assessment standards for Energy Performance Certificates of existing dwellings differ largely from the measured actual energy use. The paper uses the findings of some Post Occupancy Evaluation research projects. Is the energy saving potential of the housing stock smaller than expected and should we therefore change the policies?


Proceedings ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 8
Author(s):  
Jean Rouleau ◽  
Louis Gosselin

Exhaust fans in residential buildings generate energy consumption first by the electricity that they require when operating, but also by extracting heat outside of the building. Nonetheless, these appliances are essential to ensure good indoor air quality. It is thus important to study how occupants in residential buildings use exhaust fans and to assess their impact on the energy performance of buildings. In this paper, a preliminary analysis on these two topics is made based on measured data recorded from a multi-residential building located in Quebec City, Canada. Data show that the use of exhaust fans is variable from a household to another. It was estimated that exhaust devices accounted for approximately 14% of the energy demand of the monitored building.


2021 ◽  
Vol 312 ◽  
pp. 06002
Author(s):  
Silvia Di Turi ◽  
Ilaria Falcone ◽  
Iole Nardi ◽  
Laura Ronchetti ◽  
Nicolandrea Calabrese

Due to its energy and environmental impact, the building sector has become a challenging field in order to fulfil the need for energy renovation and obtain low-consumption buildings. The main issue, for those who approach the feasible design of a Zero Energy Building (ZEB), is to assess, in the most realistic way possible, the thermal and energy needs and the energy production of the building, properly considering all the possible variables. Through the analysis of a newly built residential building case study, this work aims at showing the complexity of the ZEB design, analysing the energy performance as the design choices vary. After characterizing envelope and systems components, potential variations in the model are highlighted by applying a set of updated climatic data, varying occupancy, shading systems and natural ventilation functioning, often neglected. It leads to a wide and differentiated range of results, consequently influenced by the design phase. The work aims at providing, in the definition of the energy performance of the building, an evaluation of the variations obtained from the variables analysed that in the modelling phase are normally considered as a boundary but which instead play a key role for achieving the ZEB objective.


2016 ◽  
Vol 38 (3) ◽  
pp. 318-326 ◽  
Author(s):  
Roger Hitchin

Monthly utilisation factors are the basis of many procedures for calculation of monthly heating or cooling requirements for buildings, notably in the procedure described in standard ISO 13790:2008 ‘Energy performance of buildings – Calculation of energy use for space heating and cooling’, which is widely used for the implementation of the Energy Performance of Buildings Directive in Europe. The procedures used to determine the values of the factors are invariably empirical rather than being derived from first principles, with the principal parameter being the ratio between monthly mean heat gains and monthly mean heat losses for the space in question. This article shows that this ratio is inherently insufficient to define the values and illustrates how months with similar values of the ratio can have different utilisation factors. It also shows that, if daily heating requirement is proportional to outdoor temperature, the key building parameter needed to determine the utilisation factor is the familiar base temperature. The base temperature can be expressed in terms of the monthly gain: loss ratio and the mean indoor and external temperatures: the day-to-day frequency distributions of outdoor temperature is also important. Finally, the article demonstrates that, for many situations, the ISO 13790 procedure and a linear model with residuals produce similar estimates of monthly heating requirement. However, this is not true towards the upper end of its observed range. In this situation, the linear model produces lower values for utilisation factors and correspondingly higher heating (and cooling) requirements. This effect is most marked when the mean indoor and outdoor temperatures are close or the space is well-insulated (causing a given heat gain to represent a higher potential temperature difference). Practical application: Monthly utilisation factors are the basis of many procedures for the calculation of monthly heating or cooling requirements for buildings, notably in the procedure described in standard ISO 13790:2008 ‘Energy performance of buildings – Calculation of energy use for space heating and cooling’, which is widely used for the implementation of the Energy Performance of Buildings Directive in Europe. This article shows that an alternative approach based on the concept of energy signatures, although producing very similar results in many situations, is a more robust and extendable basis for monthly heating and cooling energy demand calculations.


2014 ◽  
Vol 1056 ◽  
pp. 128-130
Author(s):  
Fu Yun Yang

Doors and windows of the building is an important part of the building envelope. AS the transparent and open envelope of the building, doors and windowsare the weakest part in the winter and summer heat preservation. It directly affects the energy performance of buildings. Therefore, do a good job of building doors and windows energy saving is an important way to optimize the indoor environment and realize energy saving.


Buildings ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 189 ◽  
Author(s):  
Javanroodi ◽  
M.Nik

Urbanization trends have changed the morphology of cities in the past decades. Complex urban areas with wide variations in built density, layout typology, and architectural form have resulted in more complicated microclimate conditions. Microclimate conditions affect the energy performance of buildings and bioclimatic design strategies as well as a high number of engineering applications. However, commercial energy simulation engines that utilize widely-available mesoscale weather data tend to underestimate these impacts. These weather files, which represent typical weather conditions at a location, are mostly based on long-term metrological observations and fail to consider extreme conditions in their calculation. This paper aims to evaluate the impacts of hourly microclimate data in typical and extreme climate conditions on the energy performance of an office building in two different urban areas. Results showed that the urban morphology can reduce the wind speed by 27% and amplify air temperature by more than 14%. Using microclimate data, the calculated outside surface temperature, operating temperature and total energy demand of buildings were notably different to those obtained using typical regional climate model (RCM)–climate data or available weather files (Typical Meteorological Year or TMY), i.e., by 61%, 7%, and 21%, respectively. The difference in the hourly peak demand during extreme weather conditions was around 13%. The impact of urban density and the final height of buildings on the results are discussed at the end of the paper.


2020 ◽  
Vol 12 (8) ◽  
pp. 3223 ◽  
Author(s):  
Soheil Fathi ◽  
Ravi S. Srinivasan ◽  
Charles J. Kibert ◽  
Ruth L. Steiner ◽  
Emre Demirezen

In developed countries, buildings are involved in almost 50% of total energy use and 30% of global annual greenhouse gas emissions. The operational energy needs of buildings are highly dependent on various building physical, operational, and functional characteristics, as well as meteorological and temporal properties. Besides physics-based energy modeling of buildings, Artificial Intelligence (AI) has the capability to provide faster and higher accuracy estimates, given buildings’ historic energy consumption data. Looking beyond individual building levels, forecasting building energy performance can help city and community managers have a better understanding of their future energy needs, and to plan for satisfying them more efficiently. Focusing at an urban scale, this research develops a campus energy use prediction tool for predicting the effects of long-term climate change on the energy performance of buildings using AI techniques. The tool comprises four steps: Data Collection, AI Development, Model Validation, and Model Implementation, and can predict the energy use of campus buildings with 90% accuracy. We have relied on energy use data of buildings situated in the University of Florida, Gainesville, Florida (FL). To study the impact of climate change, we have used climate properties of three future weather files of Gainesville, FL, developed by the North American Regional Climate Change Assessment Program (NARCCAP), represented based on their impact: median (year 2063), hottest (2057), and coldest (2041).


Facilities ◽  
2006 ◽  
Vol 24 (11/12) ◽  
pp. 445-457 ◽  
Author(s):  
Bjarne W. Olesen ◽  
Olli Seppanen ◽  
Atze Boerstra

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2516 ◽  
Author(s):  
Alex Gonzalez Caceres

Dwellings built between 1945 and 1980 have the largest energy demand in the EU, which by 2009 represented 70% of the final energy use in buildings. A great portion of these dwellings have not been retrofitted and most of them were not built with any energy efficiency measures, since most of the energy regulations were implemented after the oil crisis in the 70s. To face this issue several actions were taken in the EU, among these, the implementation of Energy Performance Certification, which includes a Recommendation List of Measures (RLMs) to retrofit the property. The main objective of this study is to identify the weaknesses of the RLMs and to suggest changes to improve the quality and impact of this feature. The results indicate that to retrofit an existing building, the RLMs lack information for decision-making. The study suggests important barriers to overcome for achieving potential energy reductions in existing residential buildings, highlighting improvements to the recommendation content and its implementation.


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