AVERAGE SPECIFIC FUEL CONSUMPTION IN ELECTRICITY GENERATION FROM FOSSIL SOURCES

Update date
Authors

Antonio Caputo

Abstract

The indicator measures the primary energy, expressed in MJ, required to produce one kWh of electricity, or more precisely, it reflects the efficiency of converting primary energy from fossil fuel sources into electricity for final consumption. Available data highlight a reduction in specific energy consumption related to electricity production of 18.4% for gross production and 20% for net production between 1996 and 2022. The long-term trend of the indicator therefore shows an improvement in the electricity generation efficiency of the thermoelectric power plants.

Description

The indicator measures the primary energy, expressed in MJ, required to produce one kWh of electricity.

Purpose

To evaluate the efficiency of converting primary energy from fossil fuel sources into electricity for final consumption.

Policy relevance and utility for users
It is of national scope or applicable to environmental issues at the regional level but of national significance.
It is able to describe the trend without necessarily providing an evaluation of it.
It is simple and easy to interpret.
It provides a basis for international comparisons
Analytical soundness
Be based on international standards and international consensus about its validity;
Be theoretically well founded in technical and scientific terms
Presents reliability and validity of measurement and data collection methods
Temporal comparability
Spatial comparability
Measurability (data)
Adequately documented and of known quality
Updated at regular intervals in accordance with reliable procedures
Readily available or made available at a reasonable cost/benefit ratio
An “adequate” spatial coverage
An “appropriate” temporal coverage
Main regulatory references and objectives

Not applicable

DPSIR
Driving force
Response
Indicator type
Descriptive (A)
References

TERNA S.p.A., Statistical Data on Electric Energy in Italy, various years

Limitations

The average data are significant only at the national level due to the heterogeneity of plant types and fuels used.

Data source

Terna - Rete Elettrica Nazionale S.p.A.

Data collection frequency
Yearly
Data availabilty

Retrieval of the documents "Statistical Data on Electric Energy in Italy, various years" from the website https://www.terna.it/en/electric-system/statistics/statistical-publications

 

Spatial coverage

National

Time coverage

1996-2022

Processing methodology

The data are collected and processed directly by TERNA.

Update frequency
Year
Data quality

The indicator is representative and easy to use, although the average data are meaningful only at the national level due to the heterogeneity of plant types and fuels used. The data, which are reliable and accurate, are collected by Terna Rete Italia S.p.A. through a census-based survey of electricity sector operators, with data acquisition carried out via web.

Status
Good
Trend
Positive
State assessment/description

The specific fuel consumption for gross electricity generation in 2022 was 7.14 MJ/kWh, while for net generation it was 7.43 MJ/kWh. Compared to the previous year, the 2022 specific consumption figures show an increase of 0.5% for both gross and net electricity generation (Tables 1 and 2).

Trend assessment/description

The available data highlight a reduction in specific energy consumption for electricity generation of 18.4% for gross production and 20% for net production between 1996 and 2022 (Figure 1). The long-term trend of the indicator shows a steady increase in the efficiency of electricity generation from the thermoelectric fleet up to 2008, after which it appears to stabilize. Following a spike in average specific consumption in 2014, a significant decrease has been observed in recent years, reaching in 2021 the lowest value recorded so far, followed by a slight increase in 2022.

Comments

The downward trend in specific energy consumption for electricity generation can be attributed to the progressive commissioning of combined cycle power plants—fueled by natural gas or derived gases—which offer higher efficiency compared to conventional plants. Furthermore, the new-generation combined cycle units exhibit greater efficiency than those commissioned in earlier phases. In contrast to this general trend, an increase in the specific consumption of solid fuels used for electricity generation has been observed, primarily due to the additional energy demand of emission control systems commissioned between 1999 and 2000 (Figure 1). The specific consumption of solid fuels for gross electricity production shows an increasing trend from 1999 to 2008, followed by a steady decrease until 2012, and a subsequent fluctuating pattern that becomes consistently upward from 2017, peaking in 2021 at the highest value in the time series (Table 1). In 2022, the specific consumption of solid fuels for gross electricity production increased by 6.9% compared to 2011. Natural gas, on the other hand, shows a significant decrease in specific consumption, with a 21.3% reduction recorded in 2022 relative to 2001. Over the same period, other solid fuels (excluding coal) exhibit a 20.1% increase in specific consumption. Notably, there is a consistent decline in the specific consumption of other gaseous fuels, amounting to a 19.7% decrease.

Data
Data
Headline

Table 1: Average specific fuel consumption in gross electricity generation from fossil sources(a)

Data source

TERNA S.p.A.

Data legend

(a) Gross electricity production refers to the total amount of electricity generated, measured at the generator terminals. 

Headline

Table 2: Average Specific Fuel Consumption in Net Electricity Generation from Fossil Sources(a)

Data source

TERNA S.p.A.

Data legend

(a) Net electricity production refers to the total amount of electricity generated, measured at the output of the production plants.

Thumbnail
Headline

Figure 1: Trend of Average Specific Total Fuel Consumption in Gross and Net Electricity Generation

Data source

ISPRA processing based on TERNA S.p.A. data