Analysis of energy economic renovation for historic wooden apartment buildings in cold climates

Arumägi, Endrik; Kalamees, Targo

doi:10.1016/j.apenergy.2013.10.041

Cited by 90 publications

(47 citation statements)

References 26 publications

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“…IDA Indoor Climate and Energy software [24,25] was used for indoor climate and energy simulations. This software is meticulously validated [26][27][28][29][30][31], allowing the modelling of a multi-zone building, internal and solar loads, outdoor climate, HVAC systems, dynamic simulation of heat transfer and air flows, and has been used in many energy performance and indoor climate applications [32][33][34][35][36]. To calculate the moisture transfer in IDA ICE, the common wall model RCWall should be replaced with the HAMWall model [37].…”

Section: Simulationsmentioning

confidence: 99%

Energy use and indoor climate of conservation heating, dehumidification and adaptive ventilation for the climate control of a mediaeval church in a cold climate

Napp

Kalamees

2015

Energy and Buildings

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Section: Simulationsmentioning

confidence: 99%

Energy use and indoor climate of conservation heating, dehumidification and adaptive ventilation for the climate control of a mediaeval church in a cold climate

Napp

Kalamees

2015

Energy and Buildings

Self Cite

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“…Their study is limited to the insulation thickness for the walls in new buildings. Arumegi and Kalamees [27] analyzed primary energy savings due to the renovation of a wooden apartment building from the economic point of view, based on computer simulation, field measurement and economic calculation, as well as the cost-optimum primary energy level of renovation. In another study, the economic viability of building envelope renovation for five representative dwellings in the Belgium building stock has been studied by Verbeeck et al [31].…”

Section: Overview Of the Research Areamentioning

confidence: 99%

“…The results of their study suggested that building lifespan does not contribute to the optimum measures variation as much as the economic parameters. A brief review of several studies [16,20,21,23,25,27,28,31,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47] is compiled and presented in Table 1, where the methodology, approach, some assumptions and the applicability of the studies can be compared. …”

Section: Overview Of the Research Areamentioning

confidence: 99%

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The Implications of Climate Zones on the Cost-Optimal Level and Cost-Effectiveness of Building Envelope Energy Renovation and Space Heat Demand Reduction

2017

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Abstract:The cost-optimal level of energy performance for buildings shall be identified according to the European directive of 2010. The Swedish building stock needs comprehensive knowledge and an overall strategy for the cost-optimal level of renovation. This paper studies the contribution of Swedish climate zones to the cost-optimal level of renovation on a multi-story residential building in Sweden from the building owner perspective. The building space heat demand is simulated for four Swedish climate zones. The net present profit (NPP) method is defined and used in this study in order to analyze the cost-optimal level and the cost-effective renovation of building envelope components (e.g., attic floor, basement walls, exterior walls and windows). The implication of different discount rates is studied, as well. The results show that the optimum renovation of the building envelope offers 51% more energy savings for space heating when the building is in a northern climate zone compared to a southern zone. The study suggests that different renovation strategies for the building stock renovation need to be identified, separately, for each climate zone. The NPP analysis identifies the minimum required investment and maximum achievable energy savings that are needed to have a cost-effective renovation. The broad range of studied climate zones provides the opportunity to apply the obtained results to other climate zones by either interpolation or extrapolation of NPPs for the buildings with similar characteristics.

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“…Although building simulations can be used to analyze energy performance and estimate savings potential of building technologies [16][17][18][19][20][21], creating and calibrating energy models is a time-consuming effort.…”

Section: Introductionmentioning

confidence: 99%

Data and analytics to inform energy retrofit of high performance buildings

Hong

Yang

Hill³

et al. 2014

Applied Energy

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Buildings consume more than one-third of the world's primary energy. Reducing energy use in buildings with energy efficient technologies is feasible and also driven by energy policies such as energy benchmarking, disclosure, rating, and labeling in both the developed and developing countries. Current energy retrofits focus on the existing building stocks, especially older buildings, but the growing number of new high performance buildings built around the world raises a question that how these buildings perform and whether there are retrofit opportunities to further reduce their energy use. This is a new and unique problem for the building industry.Traditional energy audit or analysis methods are inadequate to look deep into the energy use of the high performance buildings. This study aims to tackle this problem with a new holistic approach powered by building performance data and analytics. First, three types of measured data are introduced, including the time series energy use, building systems operating conditions, and indoor and outdoor environmental parameters. An energy data model based on the ISO Standard 12655 is used to represent the energy use in buildings in a three-level hierarchy. Secondly, a suite of analytics were proposed to analyze energy use and to identify retrofit measures for high performance buildings. The data-driven analytics are based on monitored data at short time intervals, and cover three levels of analysis -energy profiling, benchmarking and diagnostics. Thirdly, the analytics were applied to a high performance building in California to analyze its energy use and identify retrofit opportunities, including: (1) analyzing patterns of major energy end-use categories at various time scales, (2) benchmarking the whole building total energy use as well as major end-uses against its peers, (3) benchmarking the power usage effectiveness for the data center, which is the largest electricity consumer in this building, and (4) diagnosing HVAC equipment using detailed time-series operating data. Finally, a few energy efficiency measures were identified for retrofit, and their energy savings were estimated to be 20% of the whole-building electricity consumption. Based on the analyses, the building manager took a few steps to improve the operation of fans, chillers, and data centers, which will lead to actual energy savings. This study demonstrated that there are energy retrofit opportunities for high performance buildings and detailed measured building performance data and analytics can help identify and estimate energy savings and to inform the decision making during the retrofit process. Challenges of data collection and analytics were also discussed to shape best practice of retrofitting high performance buildings.

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Analysis of energy economic renovation for historic wooden apartment buildings in cold climates

Cited by 90 publications

References 26 publications

Energy use and indoor climate of conservation heating, dehumidification and adaptive ventilation for the climate control of a mediaeval church in a cold climate

Energy use and indoor climate of conservation heating, dehumidification and adaptive ventilation for the climate control of a mediaeval church in a cold climate

The Implications of Climate Zones on the Cost-Optimal Level and Cost-Effectiveness of Building Envelope Energy Renovation and Space Heat Demand Reduction

Data and analytics to inform energy retrofit of high performance buildings

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