Analysis and improvement of the representativeness of EN ISO 15927-4 reference years for building energy simulation

Pernigotto, Giovanni; Prada, Alessandro; Gasparella, Andrea; Hensen, Jlm Jan

doi:10.1080/19401493.2013.853840

Cited by 28 publications

(29 citation statements)

References 37 publications

(40 reference statements)

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“…From this comparison, Trento and Monza reference years, developed starting, respectively, from 10-and 9-year series, showed the largest impact on heating needs and, for this reason, have been selected for the current analysis. In particular, for the sample of buildings considered in [17,27], in Trento the annual energy needs for space heating varied from a minimum of −9.26% to a maximum of +4.28% with respect to the multi-year averages and in Monza from −8.23% to +11.53%. For the climates studied in [27], simulation results obtained with RY 5 and RY 6 had generally a better accuracy with respect to those with multi-year series.…”

Section: Development Of Reference Yearsmentioning

confidence: 99%

“…In particular, for the sample of buildings considered in [17,27], in Trento the annual energy needs for space heating varied from a minimum of −9.26% to a maximum of +4.28% with respect to the multi-year averages and in Monza from −8.23% to +11.53%. For the climates studied in [27], simulation results obtained with RY 5 and RY 6 had generally a better accuracy with respect to those with multi-year series. However, none outperformed the others for all climates: for those considered in this study, the largest representativeness was registered for RY 5 and RY 6 in Trento (respectively, with +0.52% and +0.79%) and for RY 2 and RY 6 in Monza (respectively, with −0.02% and +0.7%).…”

Section: Development Of Reference Yearsmentioning

confidence: 99%

“…RY 5 and RY 6 : Best Rank I and II Reference Years Analyzing the experiences reported in the literature, two new approaches have been proposed in [27] for the final selection of the reference months.…”

Section: Ry 2 : Reference Year By Wilcox and Marionmentioning

confidence: 99%

“…Finally, as in the Best rank I, the candidate at the top of the ranking is included in the reference year. In the case of no candidates satisfying the requirements, some recommendations, giving priority to maximize the representativeness for dry bulb temperature and solar global horizontal irradiation, are also given in [27].…”

Section: Ry 2 : Reference Year By Wilcox and Marionmentioning

confidence: 99%

“…In a previous work [27], four widespread approaches based on Finkelstein-Schafer statistics were selected and two new methods proposed. Six types of reference years were analyzed: (RY 1 ) EN ISO 15927-4 [20], (RY 2 ) Wilcox and Marion's method [25], (RY 3 ) the method by Pissimanis et al [22], (RY 4 ) the minimum Finkelstein-Schafer statistic, (RY 5 ) Best rank I, and (RY 6 ) Best rank II.…”

Section: Development Of Reference Yearsmentioning

confidence: 99%

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Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment

et al. 2017

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Abstract:There are several methods in the literature for the definition of weather data for building energy simulation and the most popular ones, such as typical meteorological years and European test reference years, are based on Finkelstein-Schafer statistics. However, even starting from the same multi-year weather data series, the developed reference years can present different levels of representativeness, which can affect the simulation outcome. In this work, we investigated to which extent the uncertainty in the determination of typical weather conditions can affect the results of building energy refurbishment when cost-optimal approach is implemented for the selection of energy efficiency measures by means of the NSGA-II genetic algorithm coupled with TRNSYS simulations. Six different reference years were determined for two north Italy climates, Trento and Monza, respectively in the Alpine and in the continental temperate regions. Four types of energy efficiency measures, related to both building envelope and HVAC system, were applied to six existing building typologies. Results showed how the choice of reference year can alter the shape of the Pareto fronts, the number of solutions included and the selection among the alternatives of the energy efficiency measures, for the entire front and, in particular, for energy and economic optima.

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Section: Development Of Reference Yearsmentioning

confidence: 99%

Section: Development Of Reference Yearsmentioning

confidence: 99%

Section: Ry 2 : Reference Year By Wilcox and Marionmentioning

confidence: 99%

Section: Ry 2 : Reference Year By Wilcox and Marionmentioning

confidence: 99%

Section: Development Of Reference Yearsmentioning

confidence: 99%

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Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment

et al. 2017

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Assessment of the adequacy of EN ISO 15927‐4 reference years for photovoltaic systems

García

Torres

2015

Progress in Photovoltaics

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The long-term performance prediction of photovoltaic systems requires representative meteorological data from a particular location. Among the numerous proposals in the field of solar energy, most of them include procedures oriented towards the generation of test reference years (TRYs). These synthetic years are composed of the concatenation of 12 actual months of the time series of meteorological measurements. Using TRYs to simulate the performance of different types of solar energy systems reduces the computational effort of the simulation and simplifies the analysis of the results. In this sense, the technical standard EN ISO 15927-4 describes a procedure for constructing a reference year suitable for evaluation of the annual heating and cooling long-term needs in buildings. In this work, the adequacy of the EN ISO 15927-4 reference year for photovoltaic systems was studied. The electricity production obtained by simulation with this TRY was compared with that obtained by the Weather Year for Solar Systems. This latter reference year only uses the monthly thermal energy collected by the system as a selection parameter of typical months. This comparison was performed for seven locations in the USA considering two 5.6 kWp grid-connected photovoltaic systems that only differ in the solar tracking system. The suitability of the EN ISO 15927-4 reference year for the estimation of the electrical energy generated by a photovoltaic system has been proved, showing good results in the annual and daily predictions in most of the cases studied.

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Influence of natural weather variability on the thermal characterisation of a building envelope

et al. 2021

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The thermal characterisation of a building envelope is usually best performed from on-site measurements with optimised controlled indoor conditions. Conversely, occupant-friendly measurement conditions provide less informative data. Notwithstanding occupancy, the boundary conditions alone contribute to a greater extent to the energy balance, which implies that non-intrusive conditions bring into question the reproducibility and relevance of such measurement. This paper proposes an original numerical methodology to assess the reproducibility and accuracy of the estimation of the overall thermal resistance of an envelope under variable weather conditions. A comprehensive building energy model serves as reference model to produce synthetic data mimicking non-intrusive conditions, each with a different weather dataset. An appropriate model is calibrated from the synthetic data and provides a thermal resistance estimate. The accuracy of the estimates is then assessed in light of the particular weather conditions used for data generation. The originality also lies in the set of weather data that allow for uncertainty and global sensitivity analyses of all estimates with respect to six weather variables. The methodology is applied to a one-storey house reference model, for which thermal resistance is inferred from calibrated RC models. Robust estimations are achieved within 11 days. The outdoor temperature and the wind speed are highly influential because of the large air change rate in the case study.

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Analysis and improvement of the representativeness of EN ISO 15927-4 reference years for building energy simulation

Cited by 28 publications

References 37 publications

Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment

Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment

Assessment of the adequacy of EN ISO 15927‐4 reference years for photovoltaic systems

Influence of natural weather variability on the thermal characterisation of a building envelope

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