Evaluation of simplified building energy models for urban-scale energy analysis of buildings

Johari, Fatemeh; Munkhammar, Joakim; Shadram, Farshid; Widén, Joakim

doi:10.1016/j.buildenv.2021.108684

Cited by 51 publications

(25 citation statements)

References 34 publications

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“…After collecting the data, and following the guidelines for BEM, all buildings are translated into models with a sufficient number of thermal zones and simulated for the desired period of time (Johari et al, 2022). This step is an automated procedure where either a BEM tool or a tailormade BEM model is working in the background.…”

Section: Urban Building Energy Modeling Frameworkmentioning

confidence: 99%

“…Following the methodology that is suggested by the authors, found in Ref (Johari et al, 2022), an automated UBEM of the district was developed using Python and EnergyPlus. Unlike the simplified model, in EnergyPlus, the heat transfer simulations are conducted dynamically.…”

Section: Energyplus Modelmentioning

confidence: 99%

“…In these equations, 𝑞𝑞̇𝑐𝑐 𝑠𝑠𝑔𝑔𝑐𝑐 , 𝑞𝑞̇𝑔𝑔 𝑏𝑏𝑠𝑠 and 𝑞𝑞̇𝑠𝑠 𝑤𝑤 are the convection, absorption of short-wave radiation and exchange of longwave radiation on both internal and external sides of the surfaces. Detailed analysis of the methods for calculation of the latter parameters is found in the EnergyPlus Engineering Reference Document ("EnergyPlus Documentation-Engineering Reference," 2019) as well as in (Johari et al, 2022).…”

Section: Energyplus Modelmentioning

confidence: 99%

“…Second, the heat capacity of the building envelope plays an important role in smoothing the results of the EnergyPlus model. As described in (Johari et al, 2022), in the dynamic calculation of the heat conduction function in EnergyPlus, the energy that is stored in the building envelope is automatically taken into consideration. Yet, in the simplified model, no heat capacity is assigned to the buildings.…”

Section: Building-level Analysismentioning

confidence: 99%

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A simplified urban building energy model to support early-stage energy plans

Johari

Widén²

2022

E3S Web Conf.

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The latest attempts in determining the spatiotemporal patterns of energy use in the building sector have led to the development of a new set of tools referred to as “urban building energy models” (UBEMs). Due to the high level of complexity, the computation cost of UBEMs risks becoming impractically large. As a substitution for complex models, in this study, using a simplified steady-state method for calculating the energy performance of buildings, a more computationally efficient UBEM is proposed. The developed model uses the available information of buildings from open datasets, translates them into simplified physical models, and, finally, estimates the energy performance of buildings for desired spatial and temporal resolutions. A comparison of the simplified UBEM with an advanced UBEM, developed around the building energy simulation software EnergyPlus, proves that the suggested simplified model performs within an acceptable range of accuracy. Furthermore, using the simplified model, the computation cost of the model can improve considerably, from hours to only a few seconds. By validating the results of the simplified UBEM against the measured energy performance of buildings from the Swedish energy performance certificate (EPC) database, it can be also seen that the MAPE does not go higher than 31%.

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Section: Urban Building Energy Modeling Frameworkmentioning

confidence: 99%

Section: Energyplus Modelmentioning

confidence: 99%

Section: Energyplus Modelmentioning

confidence: 99%

Section: Building-level Analysismentioning

confidence: 99%

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A simplified urban building energy model to support early-stage energy plans

Johari

Widén²

2022

E3S Web Conf.

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“…The type and thickness of insulation material directly bear on the energy-saving effect and economic benefit. Hence, outer wall insulation is an important measure for building energy-saving [22][23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Appropriateness Evaluation of Energy Saving Techniques for External Envelope of Residential Buildings Based on Value Engineering Theory

Shen¹,

Shen²

2021

IJHT

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Appropriate technology aims to achieve the optimal comprehensive benefits. The improvement of comprehensive benefits depends on the betterment of every benefit and the overall balance between benefits. Through value engineering evaluation, this paper transforms qualitative method into a quantitative method, and uses the new method to compare the comprehensive benefits of technical schemes for energy saving of external envelope of residential buildings, laying the basis for improving technical schemes. Multiple functional indices were determined, and organized into a hierarchical structure. The relative weight of each index was calculated through analytic hierarchy process (AHP). Drawing on the principle of value engineering, function coefficient, cost coefficient, and value coefficient were calculated for examples, and subjected to empirical comparison and analysis. After that, the technical schemes were contrasted, analyzed, and improved, according to the numerical value of the value coefficient. The proposed evaluation system provides a theoretical guide for making investment decisions on energy-saving residential buildings, and avoiding blind investment.

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The impact of building energy codes evolution on the residential thermal demand

Zabalza

Gesteira

Uche

2022

J Braz. Soc. Mech. Sci. Eng.

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The building stock decarbonization by 2050 requires the implementation of an energy transition strategy. Building energy codes must be considered to minimize the energy consumption of the residential sector. This paper aims to evaluate the evolution of the building energy codes of Spain based on energy simulation. A quantitative assessment of the residential thermal demand according to the new energy efficiency requirements introduced in national regulations over the years was performed. Heating, cooling, and domestic hot water demands were assessed for 60 cases modeled in DesignBuilder, combining different building geometric typologies, energy codes, and climate zones. Heating presented the largest contribution to the total energy demand reaching up to 75%. The codes’ evolution led to a significant reduction in heating and a slighter decrease in cooling. The results showed an average energy demand improvement of 50% from the first regulatory release to the latest one.

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Evaluation of simplified building energy models for urban-scale energy analysis of buildings

Cited by 51 publications

References 34 publications

A simplified urban building energy model to support early-stage energy plans

A simplified urban building energy model to support early-stage energy plans

Appropriateness Evaluation of Energy Saving Techniques for External Envelope of Residential Buildings Based on Value Engineering Theory

The impact of building energy codes evolution on the residential thermal demand

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