scholarly journals Identifying Inefficient Single-Family Homes With Utility Bill Analysis

2010 ◽  
Author(s):  
Sean Casey ◽  
Moncef Krarti ◽  
Marcus Bianchi ◽  
David Roberts
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Diagnostic Procedures ◽  
Simulation Software ◽  
Single Family ◽  
Consumption Data ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
A Site ◽  
International Energy Conservation Code

Differentiating between energy-efficient and inefficient single-family homes on a community scale helps identify and prioritize candidates for energy-efficiency upgrades. Prescreening diagnostic procedures can further retrofit efforts by providing efficiency information before a site-visit is conducted. We applied the prescreening diagnostic is applied to a simulated community of homes in Boulder, Colorado and analyzed energy consumption data to identify energy-inefficient homes. A home is defined as efficient if it is compliant with the prescriptive measures of the 2009 International Energy Conservation Code (IECC-2009) for Boulder, Colorado. Previous research indicates a correlation between building operational efficiency and the Heating Slope (HS) regression parameter resulting from the variable-base degree day method. We compared the HS values across a community of houses and those of an IECC-2009-compliant home to identify energy-inefficient homes on a community-scale. To simulate community-wide HS identification, we used DOE-2 energy simulation software for defined home archetypes and corresponding occupant behavior to artificially generate 567 sets of monthly natural gas consumption data Home archetypes were either compliant or incompliant at three conditioned areas; occupant effects were also simulated. Each simulation produced twelve months of natural gas use data. We used monthly energy consumption datasets to estimate the HS values with regression analysis and sorted the homes based on HS values.

scholarly journals Analysis of Natural Gas Consumption by the Industrial Sector of Bangladesh

2013 ◽  
Vol 27 ◽  
pp. 1-7
Author(s):  
Mahbubur Rahman ◽  
Mohammad Tamin ◽  
Lutfar Rahman
Keyword(s):  
Natural Gas ◽  
Chemical Engineering ◽  
Industrial Sector ◽  
Policy Makers ◽  
Usual Practice ◽  
Consumption Data ◽  
Depth Analysis ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
First Time

The natural gas consuming sectors in Bangladesh are: i) Power, ii) Fertilizer, iii) Industry, iv) Captive power, v) Domestic, vi) Commercial, and vii) Transportation (CNG). Broad sectoral consumptions are reported in various literatures and reports, however, further breakdown of the data are difficult to find, and neither reported. The combined consumption of fertilizer, industry and captive power sectors is a significant portion of national gas consumption. This paper presents for the first time an in-depth analysis of the industrial sector gas consumption. Data were collected for each type of industry, and grouped according to the United Nations Framework Convention for Climate Change (UNFCCC). Captive generation is included in the industrial sector consumption, unlike the usual practice of considering it under the power generation. It is noticed that garments, textile and leather industries together have shown remarkable growth in the last decade. All the industries are more or less related to the national GDP growth. Some are export oriented while others address the internal market. Therefore analysis presented here should be helpful for policy makers to prioritize the sectors in case preferential supply and tariff adjustments become necessary.DOI: http://dx.doi.org/10.3329/jce.v27i1.15846 Journal of Chemical Engineering, IEB Vol. ChE. 27, No. 1, June 2012: 1-7

Statistical models for disaggregation and reaggregation of natural gas consumption data

2014 ◽  
Vol 42 (5) ◽  
pp. 921-937 ◽  
Author(s):  
M. Brabec ◽  
O. Konár ◽  
M. Malý ◽  
I. Kasanický ◽  
E. Pelikán
Keyword(s):  
Natural Gas ◽  
Statistical Models ◽  
Consumption Data ◽  
Gas Consumption ◽  
Natural Gas Consumption

Natural Gas Energy Consumption Strategy by Iron and Steel Industry Enterprises

2020 ◽  
Vol 9 (3) ◽  
pp. 59-64
Author(s):  
V. Koksharov ◽  
I. Kirshina
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Steel Industry ◽  
Energy Resource ◽  
Iron And Steel Industry ◽  
Conceptual Approach ◽  
Iron And Steel ◽  
Key Factor ◽  
Gas Consumption ◽  
Natural Gas Consumption

The existing modern conceptual approaches to the formation of an assessment of the natural gas consumption strategy in the steel industry do not allow assessing comprehensively all the processes that occur in the enterprise affecting the efficiency of natural gas consumption. Due to the fact that natural gas acts an important role as a universal energy resource, both in the economy and in international politics, the modern strategy for assessing the consumption of natural gas in the steel industry is becoming a key factor in increasing competitiveness and guaranteeing sustainable economic growth of the country's steel industry. The article proposes a conceptual approach to the development of the model in order to assess the strategy of natural gas consumption at iron and steel enterprises, which allows timely management decisions to be taken to increase the organization of efficient energy consumption at the enterprise. Based on the proposed conceptual approach to assessing the strategy of natural gas consumption at the iron and steel industry, it can be stated that this assessment is interconnected with the assessment of the integral criterion for the implementation of the goals of organizing effective energy management.

scholarly journals Urban Household Energy Consumption Forecasting Based on Energy Price Impact Mechanism

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhang Lianwei ◽  
Xiaoni Wen
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Natural Gas ◽  
Energy Price ◽  
Household Energy ◽  
Urban Household ◽  
Income Levels ◽  
Household Energy Consumption ◽  
Gas Consumption ◽  
Natural Gas Consumption

The energy price influence system is one of the key mechanisms in the study of energy consumption. China’s household energy consumption has obvious regional differences, and rising income levels and urbanisation have changed the willingness and ability of households to make energy consumption choices. Based on the linear price effect of household energy consumption, this paper explores the scenario characteristics of energy prices affecting energy consumption, taking electricity and natural gas consumption as examples. Based on household energy consumption statistics from 2005 to 2018 in 36 major cities across China, the accuracy and change trends of household energy consumption forecasts are investigated through the decision tree-support vector machine (DT-SVR) non-linear forecasting technique. The study shows that the non-linear forecasting technique accurately portrays the predicted trends of changes in total urban household electricity and natural gas consumption. Within the less developed regions of economic development, income levels are still the main constraint on changes in urban household energy consumption, and the stimulating effect of income levels on household energy consumption has not been seen in the process of economic development in these less developed regions. Urbanisation as an important factor in examining household energy consumption, different development patterns and development processes will gradually be reflected in scenario aspects such as the choice of urban household energy consumption and changes in total consumption.

scholarly journals OPTIMIZATION OF CEMENTATION TECHNOLOGY OF TRACK LINK SLEEVES IN THE ATMOSPHERE METHANE-AIR MIXTURE

2020 ◽  
pp. 82-87
Author(s):  
V. A. Teldekov ◽  
L. M. Gurevich
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Layer Thickness ◽  
Total Duration ◽  
Hardened Layer ◽  
Industrial Testing ◽  
Heating Furnaces ◽  
Gas Consumption ◽  
Shaft Furnaces ◽  
Natural Gas Consumption

New three- and four-cycle experimental cementation regimes for a layer thickness of up to 4.0 mm in an atmosphere of natural gas with air additives have been developed. Rational schemes for adding air to the atmosphere of methane for carburizing in shaft furnaces at different thicknesses of the hardened layer have been determined. Industrial testing of new modes has shown the possibility of reducing the total duration of the cementation process by 25%; significant reduction in energy consumption for heating furnaces and reduction of natural gas consumption for one carburizing mode by 35%.

A Methodology to Quantify Residential Energy-Efficiency in a Heating-Dominated Climate

2011 ◽  
Author(s):  
Sean Casey ◽  
Marcus Bianchi ◽  
David Roberts ◽  
Moncef Krarti
Keyword(s):  
Energy Efficiency ◽  
Natural Gas ◽  
Inverse Modeling ◽  
Weather Data ◽  
Mechanical Equipment ◽  
Energy Assessment ◽  
Consumption Data ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Difference

A methodology is presented that uses readily available information such as energy consumption data, limited building characteristics, and local daily temperature data to identify energy-inefficient homes in a heating-dominated climate. Specifically, this methodology is applied to 327 owner-occupied, single-family homes in Boulder, Colorado, which are compared to simulated prototype homes. A home’s energy-efficiency is characterized by its construction properties, such as insulation R-values, infiltration rates, and mechanical equipment efficiencies. Previous research indicates a close relationship between these properties and inverse modeling parameters, such as the heating slope (HS) values from variable-base degree-day (VBDD) models. The methodology compares the HS values from VBDD models of monthly natural gas consumption data to simulated HS values of reference homes. The difference, ΔHS, is the primary criterion for quantifying a home’s energy-efficiency and energy retrofit potential. To validate the results of the methodology, the results from a detailed energy assessment of a field-test home are used. Using the natural gas consumption noted in the utility data and historical weather data for the dates of bill, a VBDD model is created and the HSfield-test is calculated. HSreference of a 2009-IECC reference home of identical size is calculated and the difference, ΔHS, is calculated. Using UA-values and mechanical efficiencies from the energy assessment report, the theoretical HS values are calculated for both the assessed home and the reference home. The difference, ΔHStheoretical, is calculated. Overall, a 24% difference is found between the ΔHS and ΔHStheoretical. While the accuracy can be improved, the implication is that the energy-efficiency of homes can be inferred from inverse modeling of utility data under a specific set of conditions.

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

2021 ◽  
Vol 13 (1) ◽  
pp. 67-84
Author(s):  
Naylil Liria Baldin de Lacerda ◽  
João Batista Sarmento dos Santos-Neto ◽  
Carolina Lino Martins
Keyword(s):  
Natural Gas ◽  
Site Selection ◽  
Decision Model ◽  
Complete Information ◽  
Distribution Company ◽  
Elicitation Process ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
A Site ◽  
Station Site

Considering the increasing scenario of natural gas consumption, it is necessary that all agents in the chain use methods that structure decision-making and problem-solving processes. This paper proposes a multicriteria decision model to solve a site selection problem for a pressure reducing station. A natural gas distribution company was selected to test the model and the preference modeling was conducted through the flexible interactive tradeoff (FITradeoff) approach, according to the preferences of the decision maker (DM). FITradeoff's decision support system was used to assess the alternatives of the model, through the inference of the criteria scale constants. The results proved the robustness of the model and the DM evidenced consistency in its preferences. Also, the FITradeoff method demonstrated to be intuitive to apply, since a smaller effort is required from the DM and this is because the procedure does not require complete information in the scale constants elicitation process.

Empirical research on the relationship between natural gas consumption and economic growth in the Northeast Asia

2018 ◽  
Vol 29 (2) ◽  
pp. 216-231 ◽  
Author(s):  
Li Zhi-Guo ◽  
Han Cheng ◽  
Wei Dong-Ming
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Natural Gas ◽  
Granger Causality ◽  
Northeast Asia ◽  
Gas Consumption ◽  
Causality Relationship ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

The Northeast Asia, as one of the most rapidly development regions, has a large amount of energy consumption. Therefore, it is very significant to study the relationship between natural gas consumption and economic growth in the Northeast Asia. This paper builds Panel Data Model to study the relationship between natural gas consumption and economic growth in China, Japan, and Korea from 1991 to 2015, on the basis of analyzing the impact mechanism that natural gas has on economic growth. This paper finds that the Japan’s elasticity coefficient of natural gas consumption is the highest, whereas Korea’s is the lowest, and China’s is in the middle of these two countries, because of countries’ different development level and energy consumption mode. Moreover, the results of Granger causality relationship test show that there is only one-way Granger causality relationship between natural gas consumption and economic growth of China, but no causal relationship is found for Japan and Korea.

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