A statistical model for the estimation of natural gas consumption

Vondráček, Jiří; Pelikán, Emil; Konár, Ondřej; Čermáková, Jana; Eben, Kryštof; Malý, Marek; Brabec, Marek

doi:10.1016/j.apenergy.2007.07.004

Cited by 64 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the ability to estimate certain latent quantities that are not accessible to direct measurement but might be of practical interest) and for model criticism and improvement (good serviceability of the model). The model we present here is substantially different from the standardized load profile (SLP) model we published previously (Brabec et al, 2009) and from other gas consumption models (Vondráček et al, 2008) in that it has no standard-consumption (or consumption under standard conditions) part. It is advantageous that the model is more responsible to the temperature changes, especially in years whose temperature dynamics is far from being "standard" and in transition (spring and fall) periods even during close-to-normal years.…”

Section: Introductionmentioning

confidence: 74%

“…we used them as segments, similarly as in (Vondráček et al, 2008). This way, we have 8  K segments (4 HOU + 4 SMC in the Czech Republic and 2 HOU + 6 SMC in Slovakia).…”

Section: Natural Gas 396mentioning

confidence: 99%

“…The data consist of a sample of consumption trajectories obtained through individualized measurements (obtained in rare and costly measurement campaigns for nationwide studies mentioned above). Construction of the model keeps the same philosophy as our previous models that have been in practical use in Czech and Slovak gas utility companies (Brabec et al, 2009), (Vondráček et al, 2008). It is modular, stressing physical interpretation of its components.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution

Brabec¹,

Malý²,

Pelikán³

et al. 2010

Natural Gas

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 74%

“…we used them as segments, similarly as in (Vondráček et al, 2008). This way, we have 8  K segments (4 HOU + 4 SMC in the Czech Republic and 2 HOU + 6 SMC in Slovakia).…”

Section: Natural Gas 396mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution

Brabec¹,

Malý²,

Pelikán³

et al. 2010

Natural Gas

Self Cite

View full text Add to dashboard Cite

“…Annual gas consumption calculated for one "Conditional Dwelling" is 857 m 3 for heating only, and this amount is 10% higher for district heating system. Besides, a statistical approach based on nonlinear regression principles can be made to natural gas consumption estimation of individual residential and small commercial customers [34]. The annual costs of electrical energy for running the pumps for district heating system are estimated to 250 kWh per "Conditional Dwelling".…”

Section: The Model Of Rational Natural Gas Usage Based On City Plannimentioning

confidence: 99%

Systematic approach to natural gas usage for domestic heating in urban areas

Brkić¹,

Tanasković²

2017

Preprint

View full text Add to dashboard Cite

To cite this version:Dejan Brkić, Toma Tanasković. Systematic approach to natural gas usage for domestic heating in urban areas. Energy, 2008, 33 (12) Dear Prof. Lior, We are grateful to referees for their suggestions. According to referees' comments, we have modified our paper "Systematic Approach to Natural Gas Usage for Domestic Heating in Urban Areas"-EGY-D-08-00110R1. We are returning our rewritten manuscript. This paper has not been published previously, it is not under consideration for publication elsewhere, and if accepted it will not be published elsewhere in substantially the same form, in English or in any other language, without the written consent of the Publisher. Also, don't forget we want to attach Electronic annex refer to our work -MS Excel file (annex DB ver3). We hope that English expression in our paper is now improved. Abstract: Natural gas can be used for satisfying population needs for heating, either directly by bringing the gas to the dwellings through the gas distribution system and combusting it in the domestic boiler (gas distribution system-G), or indirectly by combusting the natural gas in the heating plant and distributing the heat energy to the dwellings through the district heating system (district heating system-DH). The selection of a certain type of heating system is made according to the disposition of buildings in the area, their number, size, insulation quality, etc. Based on these characteristics, calculations of investments and exploitation costs have been made for both heating systems and a comparison has been made for all of the 96 presented cases. Almost each type of real settlement can be represented by one of the types of the conditional urban area which are introduced in the paper. The main goal of this paper is to establish a general model to achieve coordinated development of centralized energy supply systems fueled by natural gas, based on defined and accepted criteria. A structure analysis of centralized systems for energy supply has been done with accent on their pipelines.Keywords: Natural Gas, Settlement, Gas Distribution, District Heating, Urbanism

show abstract

“…The investigation of the weather impact on energy consumption is also addressed in the literature. The gas sector is one of the most sensitive sectors affected by weather risk and time of year [21][22][23][24][25], since there is higher gas demand in colder seasons compared to warmer seasons.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Residential Gas Consumers Using Clustering Analysis

et al. 2017

View full text Add to dashboard Cite

Abstract:The growing environmental concerns and liberalization of energy markets have resulted in an increased competition between utilities and a strong focus on efficiency. To develop new energy efficiency measures and optimize operations, utilities seek new market-related insights and customer engagement strategies. This paper proposes a clustering-based methodology to define the segmentation of residential gas consumers. The segments of gas consumers are obtained through a detailed clustering analysis using smart metering data. Insights are derived from the segmentation, where the segments result from the clustering process and are characterized based on the consumption profiles, as well as according to information regarding consumers' socio-economic and household key features. The study is based on a sample of approximately one thousand households over one year. The representative load profiles of consumers are essentially characterized by two evident consumption peaks, one in the morning and the other in the evening, and an off-peak consumption. Significant insights can be derived from this methodology regarding typical consumption curves of the different segments of consumers in the population. This knowledge can assist energy utilities and policy makers in the development of consumer engagement strategies, demand forecasting tools and in the design of more sophisticated tariff systems.

show abstract

A statistical model for the estimation of natural gas consumption

Cited by 64 publications

References 7 publications

Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution

Statistical Model of Segment-Specific Relationship Between Natural Gas Consumption and Temperature in Daily and Hourly Resolution

Systematic approach to natural gas usage for domestic heating in urban areas

Segmentation of Residential Gas Consumers Using Clustering Analysis

Contact Info

Product

Resources

About