Impact of energy efficiency upgrade retrofits on the residential energy consumption and Greenhouse Gas emissions in Canada

Guler, Burak; Ugursal, V. Ismet; Fung, Alan S.; Köksal, Merih Aydınalp

doi:10.1504/ijetm.2008.019464

Cited by 13 publications

(16 citation statements)

References 3 publications

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“…Two methods have been used to predict the GHG emission intensity factors [29]. The first method calculates the average GHG intensity factor 'GHGIF A ', which is as the average amount of GHG emissions produced as a result of generating 1 kWh of electricity:…”

Section: Previous Methods To Calculate Ghg Emission Intensity Factorsmentioning

confidence: 99%

Greenhouse gas emission intensity factors for marginal electricity generation in Canada

Farhat¹,

Ugursal²

2010

Int. J. Energy Res.

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SUMMARYIn Canada, each province has its own electric utility system, and each system is responsible for meeting the demand of its customer base. Electricity demand in all provinces is highly variable throughout the day, as well as during the year. In order to achieve a good match between electricity demand and generation, a mix of base, intermediate and peaking load power plants is used, which uses different fuel sources. When a renewable energy technology or an energy efficiency measure that results in electricity savings is implemented on a regional, provincial and national scale, the electricity savings reflect in the peak (marginal) electricity generation. Thus, the greenhouse gas (GHG) emission reduction due to the reduction in electricity generation corresponds to the fuel used to generate the electricity at the margin. In Canada, the fuel used for marginal electricity generation varies from province to province and from hour to hour. To estimate the reduction in GHG emissions due to reducing electricity generation at the margin, it is necessary to have information on the fuel mix used to generate the marginal electricity for each province on a suitable time scale. With such information, it is possible to estimate a marginal GHG emission intensity factor for each province, which would provide the amount of GHG emissions produced as result of producing 1 kWh of electricity on the margin. However, such information is regarded confidential by most electric utilities and is not made public. In this paper, methodologies are presented to estimate the GHG intensity factors (GHGIFs) for marginal electricity generation for each province of Canada based on the information available in the public domain. The GHGIFs developed for each province are also presented, which are expected to be valid within the next 5-year horizon.

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Section: Previous Methods To Calculate Ghg Emission Intensity Factorsmentioning

confidence: 99%

Greenhouse gas emission intensity factors for marginal electricity generation in Canada

Farhat¹,

Ugursal²

2010

Int. J. Energy Res.

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“…Estimation is the method used by several countries when preparing their national GHG inventories (ICPP, 1997). In the past, GHG emissions from the electricity generation sector were calculated using the Average GHG Intensity Factor (GHGIF A ) (Guler et al, 2008). The GHGIF A is the amount of GHG emissions per kWh electricity produced.…”

Section: Traditional Methodologies To Estimate Ghg Emission Factors Fmentioning

confidence: 99%

“…The GHGIF M intensity factor was calculated by dividing the net fossil fuel plant electricity production by the total equivalent CO 2 emissions. The value estimated for 1993 was 903.7 t/GWh (Guler et al, 2008). This emission factor assumes that all electricity consumption is provided by fossil plants.…”

Section: Accuracy Of Ghg Emission Factorsmentioning

confidence: 99%

“…This chapter will introduce monthly TDV emission factors and compare them to existing emission factors. GHG emissions from the electricity generation industry have been calculated using the Average GHG Intensity Factor (GHGIF A ) (Guler et al, 2008). This value represents the amount of GHG emissions produced as a result of generating one kWh of electricity.…”

Section: Hourly Ghg Emission Factorsmentioning

confidence: 99%

“…The engineering method involves the use of engineering principles and knowledge of chemical and physical processes (EnvCan, 2006). In Guler (2008) the method used to estimate emission factors considers only the total amount of fuel and electricity produced from power plants. The previous methodology does not take into consideration the offset cyclical relationship, daily and yearly, between electricity generated by renewable technologies.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Time Dependent Valuation of Emission Factors from the Electricity Sector

Gordon¹,

Fung²

2011

Sustainable Growth and Applications in Renewable Energy Sources

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Co-valorization of Crude Glycerol Waste Streams with Conventional and/or Renewable Fuels for Power Generation and Industrial Symbiosis Perspectives

Manara

Zabaniotou

2015

Waste Biomass Valor

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Crude glycerol is the principal by-product of biodiesel industry, accounting for 10 wt% of biodiesel production. As the production of biodiesel grows, the environmental and sustainable valorization of crude glycerol becomes an imperative task which affects directly the biodiesel production cost. The present study focuses on covalorization of crude glycerol with conventional and/or renewable resources. The use of pyrolysis and gasification, as waste management practices, closing the loop in energy and agriculture, by using the extracted oil for biodiesel production and the remaining residual biomass for combined heat and power generation, has great potential in a circular economy. The paper is of scientific interest as it investigates the valorization of glycerol waste streams produced from small-scale biodiesel plants, targeting to an effective management solution of the above streams in countries such as Greece, where a chemical biorefinery is not viable due to small availability of glycerol supply. Results have shown that co-valorization of crude glycerol with waste biomass fulfilling the energetic needs of the biodiesel plant within the boundaries of the company, can contribute in decreasing the cost of biodiesel production, while providing a rather short-term solution to the existing environmental problem of waste glycerol.

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Impact of energy efficiency upgrade retrofits on the residential energy consumption and Greenhouse Gas emissions in Canada

Cited by 13 publications

References 3 publications

Greenhouse gas emission intensity factors for marginal electricity generation in Canada

Greenhouse gas emission intensity factors for marginal electricity generation in Canada

Analysis of Time Dependent Valuation of Emission Factors from the Electricity Sector

Co-valorization of Crude Glycerol Waste Streams with Conventional and/or Renewable Fuels for Power Generation and Industrial Symbiosis Perspectives

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