Calculation method and tool for assessing energy consumption in the building stock

Tuominen, Pekka; Holopainen, Riikka; Eskola, Lari; Jokisalo, Juha; Airaksinen, Miimu

doi:10.1016/j.buildenv.2014.02.001

Cited by 83 publications

(21 citation statements)

References 11 publications

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“…Tronchin et al [19] applied a selection of calculation models, among which a quasi-steady-state calculation method, and compared the results with the real energy consumption; they found out that the standardized energy performance is about 35% higher than the real energy consumption. In a bottom-up energy model of the building stock using archetypes, Tuominen et al [20] discovered a gap of about 32% between the modeled estimate and the official statistics for the detached houses. Sunikka-Blank et al [21] plotted the calculated energy performance against the measured energy consumption of 3400 houses in Germany; their analysis revealed that, when the predicted energy performance is around 300 kWh·m −2 , the real energy consumption is 40% lower, while a predicted energy performance of 150 kWh·m −2 corresponds to 17% lower real consumption.…”

Section: Methodologies For the Energy Performance Assessment Of Buildmentioning

confidence: 99%

A New Methodology for Assessing the Energy Consumption of Building Stocks

Ballarini

Corrado

2017

Energies

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Abstract:The refurbishment of the existing building stocks represents a great potential for energy savings. To make the refurbishment effective, proper modeling of the current energy performance is needed. In most European countries, few and low quality data on the energy performance and on the refurbishment of building stocks are revealed, which increases the risk of not getting representative results. The article presents a new methodology for an effective bottom-up energy modeling, aimed at evaluating the current energy performance of housing stocks. The model is set up according to the IEE-EPISCOPE Project (Energy Performance Indicator Tracking Schemes for the Continuous Optimisation of Refurbishment Processes in European Housing Stocks, 2013-2016), which developed a framework of reliable data and clearly stated model assumptions, as to overcome the lack of data while guaranteeing transparency. The model, applied to an Italian region, is based on statistical data and uses the building typology approach. The energy performance is calculated by means of a quasi-steady state method. A correlation between the estimated and the real energy consumption is obtained. The model allows disaggregating the residential building stock in subsets to identify the main potential for energy savings in specific contexts. Improvements of the current data availability are strongly advisable to keep the model updated.

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Section: Methodologies For the Energy Performance Assessment Of Buildmentioning

confidence: 99%

A New Methodology for Assessing the Energy Consumption of Building Stocks

Ballarini

Corrado

2017

Energies

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“…According to their classification the archetypes technique, a bottom-up approach, consists of modelling representative buildings and extrapolating their results to the urban scale. This has been used in recent studies for energy analysis [7,8]. In addition, the new EU Directive 2003/98/CE [9] has contributed to developing a framework for the re-use of public sector information.…”

Section: Introductionmentioning

confidence: 99%

A Characterisation and Evaluation of Urban Areas from an Energy Efficiency Approach, using Geographic Information Systems in Combination with Life Cycle Assessment Methodology

García-Pérez¹,

Boschmonart-River²,

Cálix³

et al. 2017

Int. J. SDP

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The retrofitting of less energy efficient building stock represents one of the most significant challenges in the transition to a low-carbon economy. Nowadays, the housing sector represents about 40% of the energy consumption in the European Union. In this regard, the level of insulation installed in buildings is directly related to the energy efficiency of the building, and consequently to the urban area. In addition, several studies have shown that a comprehensive perspective of energy efficiency is needed, together with calculating the importance of introducing Life Cycle Assessment (LCA) methodology. The purpose of this study is to develop a methodology to: first, measure the energy efficiency level of specific urban areas and their buildings using a geospatial model in an integral perspective; and second, the environmental impact caused by the refurbishment of these building façades using a LCA method.On the one hand, according to a bottom-up framework the quantitative and qualitative characterisation of the building stock façade at the urban scale is possible generating a georeferenced spatial data model of buildings using Geographic Information Systems. On the other hand, the environmental impact of the most usual constructive solutions to refurbishment building façades is calculated using the LCA methodology. The results obtained are merged and interpolated to the urban scale. The methodology is tested for the case study of blocks of flats in Barcelona using the open data of building stock from the Spanish Government. Firstly, this methodology provides more information in regard to urban areas as well as calculating their energy efficiency. Secondly, the study measures the renovation impact of the less efficient buildings. Finally, the results provide the basis for supporting decisions on building stock retrofitting for urban scale from a new approach, especially making the selection between various renovation scenarios much clearer.

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“…This listing of benefits also shows that there are many different reasons why consumers may want to reduce energy consumption and cost savings and price risk reduction are but one of many. In this paper we concentrate on price risk reduction as other benefits have been extensively studied elsewhere in the literature (see e.g., [14,16] because of the lack of proper methodologies to do so. Price risk reduction can be seen as one more area where a value to consumers can be recognized but not yet quantified, as is exemplified by Figure 1.…”

Section: Rationale For Price Risk Reductionmentioning

confidence: 99%

Section: Rationale For Price Risk Reductionmentioning

confidence: 99%

Estimating the Value of Price Risk Reduction in Energy Efficiency Investments in Buildings

Tuominen

Seppänen

2017

Energies

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This paper presents a method for calculating the value of price risk reduction to a consumer that can be achieved with investments in energy efficiency. The value of price risk reduction is discussed to some length in general terms in the literature reviewed but, so far, no methodology for calculating the value has been presented. Here we suggest such a method. The problem of valuating price risk reduction is approached using a variation of the Black-Scholes model by considering a hypothetical financial instrument that a consumer would purchase to insure herself against unexpected price hikes. This hypothetical instrument is then compared with an actual energy efficiency investment that reaches the same level of price risk reduction. To demonstrate the usability of the method, case examples are calculated for typical single-family houses in Finland. The results show that the price risk entailed in household energy consumption can be reduced by a meaningful amount with energy efficiency investments, and that the monetary value of this reduction can be calculated. It is argued that this often-overlooked benefit of energy efficiency investments merits more consideration in future studies.

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Calculation method and tool for assessing energy consumption in the building stock

Cited by 83 publications

References 11 publications

A New Methodology for Assessing the Energy Consumption of Building Stocks

A New Methodology for Assessing the Energy Consumption of Building Stocks

A Characterisation and Evaluation of Urban Areas from an Energy Efficiency Approach, using Geographic Information Systems in Combination with Life Cycle Assessment Methodology

Estimating the Value of Price Risk Reduction in Energy Efficiency Investments in Buildings

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