A Top-Down Digital Mapping of Spatial-Temporal Energy Use for Municipality-Owned Buildings: A Case Study in Borlänge, Sweden

Quintana, Samer; Huang, Pei; Han, Mengjie; Zhang, Xingxing

doi:10.3390/buildings11020072

Cited by 8 publications

(5 citation statements)

References 23 publications

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“…The mapping of urban building energy plays a crucial role in understanding the multitude of agents that take part in the energy performance of buildings and thus in setting up the benchmarks in different districts for various stakeholders [9].…”

Section: Definition Of Em In Municipalities and Its Presentationmentioning

confidence: 99%

Development of Municipal Energy Management as Trigger of Future Energy Savings

Bačovský,

Karásek,

Kaločai

2024

Buildings

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Directive 2018/844/EU on energy efficiency claims that almost 80% of the final energy consumption in the EU is used within the buildings. The subsequent Directive (EU) 2023/1791 introduced in 2023 expected 68% of the world population to live in urban areas. Both directives enhanced the role of energy management (EM) applied to the city buildings. This paper introduces the development of energy management in Czech municipalities between the years 2009 and 2023. The main goal of this article is to present selected results of the unique national survey focused on the energy management in Czech municipalities conducted in 2023 and compare it with results of national surveys implemented in 2009 and 2018. The main method is the comparing of two surveys conducted among the municipal representatives or energy managers in the past with the new survey conducted in 2023. The results show that EM became a notably more important issue for most Czech municipalities. The number of cities collecting data on energy consumption grew by 288% and the number of city energy managers increased by 57%. On the other hand, the used potential of energy savings triggered by establishing EM was insufficient and only 4% of the respondents claimed high and exactly measured savings because of EM. This article should be applied to the stress power of municipal EM in performing energy efficiency and RES projects and encouraging the government to support municipal energy managers in their complex role.

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Section: Definition Of Em In Municipalities and Its Presentationmentioning

confidence: 99%

Development of Municipal Energy Management as Trigger of Future Energy Savings

Bačovský,

Karásek,

Kaločai

2024

Buildings

View full text Add to dashboard Cite

show abstract

Section: Definition Of Em In Municipalities and Its Presentingmentioning

confidence: 99%

Development of Municipal Energy Management as Trigger of Future Energy Savings

Bačovský,

Karásek,

Kaločai

2024

Preprint

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Directive 2018/844/EU on energy efficiency claims almost 80% of final energy consumption in EU is used within the buildings. Subsequent Directive (EU) 2023/1791 introduced in 2023 expected 68% of the World population living in urban areas. Both Directives enhanced the role of energy management (EM) applied on the city buildings. The study introduces the development of energy management in Czech municipalities between the years 2009 and 2023. The main goal of this article is to present selected results of the unique national survey focused on the energy management in Czech municipalities conducted in 2023 and compare it with results of national surveys implemented in 2009 and 2018. The main method is the evaluation of deep survey conducted among the municipal representatives or energy managers in the past with the new survey conducted in 2023. The results show that EM became notably more important issue for the most Czech municipalities. The number of cities implementing EM significantly grew and the number of city energy managers increased too. On the other hand, the used potential of energy savings triggered by establishing EM is insufficient. This article should be applied to stress power of municipal EM in performing energy efficiency and RES projects and encouraging government to support municipal energy managers in their complex role.

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“…Herein, temperature is not the determinant of electricity demand [57] . Moreover, the variations of electricity demand in winter are higher than in other seasons for multiple buildings and a large number of outliers are observed, which makes associating temperature to electricity demand vaguer [58] . For winter season in Sweden, specifically, the…”

Section: Componentsmentioning

confidence: 99%

Generating Hourly Electricity Demand Data for Large-Scale Single-Family Buildings by a Decomposition–Recombination Method

Han

Zhang

2023

Sustainable Development Goals Series

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Household electricity demand has substantial impacts on local grid operation, energy storage and the energy performance of buildings. Hourly demand data at district or urban level helps stakeholders understand the demand patterns from a granular time scale and provides robust evidence in energy management. However, such type of data is often expensive and time-consuming to collect, process and integrate. Decisions built upon smart meter data have to deal with challenges of privacy and security in the whole process. Incomplete data due to confidentiality concerns or system failure can further increase the difficulty of modeling and optimization. In addition, methods using historical data to make predictions can largely vary depending on data quality, local building environment, and dynamic factors. Considering these challenges, this paper proposes a statistical method to generate hourly electricity demand data for large-scale single-family buildings by decomposing time series data and recombining them into synthetics. The proposed method used public data to capture seasonality and the distribution of residuals that fulfill statistical characteristics. A reference building was used to provide empirical parameter settings and validations for the studied buildings. An illustrative case in a city of Sweden using only annual total demand was presented for deploying the proposed method. The results showed that the proposed method can mimic reality well and represent a high level of similarity to the real data. The average monthly error for the best month reached 15.9% and the best one was below 10% among 11 tested months. Less than 0.6% improper synthetic values were found in the studied region.

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A Top-Down Digital Mapping of Spatial-Temporal Energy Use for Municipality-Owned Buildings: A Case Study in Borlänge, Sweden

Cited by 8 publications

References 23 publications

Development of Municipal Energy Management as Trigger of Future Energy Savings

Development of Municipal Energy Management as Trigger of Future Energy Savings

Development of Municipal Energy Management as Trigger of Future Energy Savings

Generating Hourly Electricity Demand Data for Large-Scale Single-Family Buildings by a Decomposition–Recombination Method

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