Energy Performance Certificate – Belgium example

The Energy Performance Certificate (EPC) is based on following EU Directives: The EU Directive 2010/31/EU of 19 May 2010 on the Energy Performance of Buildings (amended by Directive 2018/844 of 30/05/2018) requires the Member States, the establishment of a measurable system of Buildings Energy Performance (BEP) or a Certification of Energy Performance (CEP). This Directive requires that each EU member state must set up a specific calculation method to achieve the BEP requirements and to certify the energy performance of buildings. The energy efficiency EU Directive 2012/27/EU of 25/10/2012, in particular the article n°5. The EU Directive 2009/28/EC of 23/04/2009 on the use and promotion of the energy produced from renewable sources. The PEB certificate expresses the energy performance of a PEB unit (public buildings, residential and industry buildings, apartments, etc...) by means of several indicators such as energy class, global and specific consumption of primary energy, renewable energy, CO2 and other greenhouse gas emissions and contains recommendations for improvement. The Belgian Energy Performance Certificate is the perfect example helping Belgium as a Member State to achieve its energy efficiency targets. It can inspire the authorities in Kosovo, whose ultimate goal is to join the EU, to prepare the legislation that would incorporate the entire EPC in the procedures for new construction or renovation of buildings. This would be one much appreciated way to prepare at best to reduce greenhouse gas emissions and improve the energy performance of the residential, tertiary and public buildings in Kosovo

Energy Performance Certificate

Tato bakalářská práce má za úkol vytvoření PENB podle aktuální úpravy zá-kona č. 406/2000 Sb. První část práce je věnována legislativě a normám s uvedenými postupy pro vypracování průkazu energetické náročnosti budovy. Druhá část se věnuje aplikování první části na skutečnou budovu a naprogramování výpočetního kódu v softwaru Wolfram Mathematica, kde je v závěru určena hodnota energetické náročnosti budovy.This bachelor thesis aims to create PENB by the current regulations of the Law no.406/2000 Coll. The first part is devoted to legislation and standards with spe-cified procedures for drawing up the energy performance certificate of the building. The second part is devoted to applying the first part of the actual building and com-puting programming code in the software Wolfram Mathematica, which is at the end determined by the value of the energy performance of the building

Energy performance certificate classifications across shifting frameworks

AbstractLarge amounts of valuable data are being collected in the energy performance certificate (EPC) schemes. These data offer a huge potential, in terms of enabling researches to study energy demand in buildings and related causalities. However, revisions of the national schemes and calculation methods necessitate a standardization of the results from the various schemes.The primary focus of this research is on checking the consistency of converting labels with a given classification from an old scheme directly into that of a newer scheme. Furthermore, a general check is carried out, to review the consistency within each scheme, since the collected data are handled by several stakeholders which use different calculation tools.In the study, several instances were found, where a simple conversion of a building's energy label classification did not agree with the classification calculated anew, according to the present scheme. The number of inconsistent records was found to vary from scheme to scheme; most of the inconsistent classifications were found in the early schemes however. Fortunately, most information is stored at a disaggregated level, which means that classifications can easily be recalculated. In addition to the inconsistent EPC classifications, a number of corrupt records were observed, in which the energy frame did not seem to agree with the calculated energy demand for heating and electricity

Evaluating Energy Performance Certificate Data with Data Science

Anastasiadou, M., Santos, V., & Dias, M. S. (2021). Evaluating Energy Performance Certificate Data with Data Science. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-5). IEEE. https://doi.org/10.1109/ICECET52533.2021.9698806The related problems of improving existing buildings' energy performance, reducing energy consumption, and improving indoor comfort and their many consequences are well known. Considering increasing urbanization and climate change, governments define strategies to enhance and measure buildings' energy performance and energy efficiency. This work aims to contribute to the improvement of buildings' characteristics by conducting a thorough systematic literature review and adopting a data science approach to these problems, presenting initial results with an open-access energy performance certificate dataset from the Lombardy Region, in Italy. We provide a pre-processing method to the data, applicable for future research, aiming to address challenges such as automatic classification of existing buildings' energy performance certification, and predicting energy-efficient retrofit measures, using machine learning techniques. The analysis of this dataset is challenging because of the high variability and dimensionality of this dataset. For this purpose, a robust iterative process was developed. First, the data dimensionality was reduced with Pearson Correlation to find the best set of variables against the non-renewable global energy performance index (EPgl, nren). Then, the outliers were handled by utilizing Box Plot and Isolation Forest algorithms. The main contribution is to inform private and public building sectors on dealing with high dimensional data to achieve enhanced energy performance and predict energy-efficient retrofit measures to improve their energy performance.authorsversionpublishe

Impact of adding comfort cooling systems on the energy consumption and EPC rating of an existing UK hotel

Abstract: In light of the recent launch of the Minimum Energy Efficiency Standard and its expected impact on the commercial buildings sector, this study investigated the impact of adding cooling systems on the annual energy consumption, carbon dioxide emissions and energy performance certificate (EPC) rating of an existing UK hotel. Thermal Analysis Software (TAS) was used to conduct the study, and the baseline model was validated against the actual data. As is the current accepted procedure in EPC generating in the UK, the cooling set points of the guest rooms were set to 25 °C, resulting in a small increase in the annual energy consumption and emission rates, but not enough to change the energy performance certificate rating. Also, it was found that an improvement in energy consumption and energy performance certificate rating of the hotel would be achieved if the new systems replaced the existing heating systems in the guest rooms. Further simulations investigated more realistic situations, in which occupants may decide to keep their rooms at cooler temperatures. The results from this round of simulations showed considerable increase in the energy consumption and emissions of the building; however, these results would not be considered in the current approved procedure for EPC generating

Office representatives for cost-optimal energy retrofitting analysis: a novel approach using cluster analysis of energy performance certificate databases

A large number of buildings must be evaluated to formulate energy retrofitting policies for existing building stock. In this context, it is crucial to identify reference buildings that can effectively represent the entire stock, since such buildings can then be used to assess the individualized cost-effectiveness of retrofitting measures. This paper presents a novel approach for identifying and defining a set of reference buildings by applying the k-means clustering method to energy performance certificate databases. To this end, a four-step methodology has been envisaged. First, an energy performance certificate database is prepared and variables that have an impact on energy consumption are pre-selected. Selected data are then pre-processed. Next, the k-means clustering method is applied. Finally, the resulting cluster centroids are used to identify the closest energy performance certificates in the database, in other words, the representative buildings that will then be used for cost-optimal retrofitting analysis. The methodology is illustrated using the energy performance certificate database managed by the Catalan Institute of Energy (ICAEN), which includes a sample of 13,701 offices. Seven representative office blocks and offices in industrial buildings and nine representative offices in residential buildings were identified. The results establish the basis for supporting strategic decision-making for energy saving retrofit interventions in existing Spanish offices.Peer ReviewedPostprint (published version

An analysis of errors in the Energy Performance certificate database

Energy Performance Certificates (EPCs) are the adopted method by which the UK government tracks the progress of its domestic energy efficiency policies. Over 15 million EPCs have been lodged, representing a valuable resource for research into the UK building stock. However, the EPC record has a reputation of containing multiple errors. In this work, we identify many such errors and quantify how common they are. We find that 27% of EPCs in the open EPC record display at least one flag to suggests it is incorrect and estimate the true error rate of the EPC record to be between 36 and 62%. Many of these errors are caused by EPC assessors disagreeing on building parameters such as floor type, wall type and built form. Additionally, flats and maisonettes appear to cause more issues than other property types. This may be due to difficulties in assessing their location in the building and the nature of the surrounding space. We also suggest potential new methods of quality assurance which rely on machine learning and which could allow such errors to be avoided in the future

Energy performance certificate of residential building

Bakalářská práce se zabývá hodnocením energetické náročnosti bytového domu v Letovicích. Teoretická část pojednává o tepelných soustavách, zejména o soustavě s centrálním zásobováním tepla. Ve výpočtové části porovnává energetické potřeby a toky budovy výchozího stavu se stavem nově navrženým. Výsledkem jsou dva průkazy obou stavů vložených do části C – projektu PENB.The bachelor thesis deals with the evaluation of the energy performance of the residential building in Letovice. The theoretical part is about thermal systems, especially the district heating. In the computational part, it compares the energy needs and flows of the baseline building with the newly designed state. The result is two passes of both states inserted into part C – the PENB project.

Energy performance certificate: a valuable tool for building-to-grid interaction?

New challenges were opened with the recast of Energy Performance of Buildings Directive, requiring by 2020 that new buildings be “nearly Zero-Energy Buildings” (nearly ZEB). In addition to consumer buildings, Net ZEBs are also producers’ by using as much renewable energy sources as possible to compensate the building energy load. Sustainable cities require energy-efficient buildings, i.e. buildings where the use of energy is minimized without compromising the occupants comfort, namely for heating, cooling, lighting and indoor air quality. But smart cities require energy-efficient ‘interactive’ buildings, which integrate multiplecarrier energy networks and provide up-to-date valuable information for their management, where buildings are simplified to single nodes characterized by their energy load, generation, storage and conversion, applying the load-generation approach. The information currently available in the Energy Performance Certificate is not relevant for estimating the time dependent building energy load, but it can be easily improved by including a few descriptive parameters