Undertaking high impact strategies: The role of national efficiency measures in long-term energy and emission reduction in steel making
Introduction
Collective steel production and consumption in China, India, and the U.S. increased significantly over the last few decades. Among the world’s leading steel producers, China, India, and the U.S. produced 626.7 million tonnes (Mtonnes), 68.3 Mtonnes, and 80.5 Mtonnes of crude steel in 2010, respectively [1]. In particular, the total annual production by the two major emerging economies (i.e., China and India) is expected to grow in future years, largely due to the continued growth in global demand for new buildings and infrastructure in the course of ongoing global urban expansions. Iron and steel production processes are highly intensive in energy and carbon dioxide (CO2) emissions, and contribute significantly to industrial energy and emissions; therefore, it is important to advance understanding of opportunities for reducing the sector’s energy use and emissions in major and emerging economies and to develop strategies and policy recommendations for emission reduction in steel making.
Typical energy issues addressed in industry sectors focused on sectoral and processes-specific energy use [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] and its efficiency [12], [13], [14], [15] across industries in different countries. Widely recognized as a major means for reducing CO2 emissions, various tools and policy studies on improving energy efficiency have been developed to promote climate change mitigation efforts [16], [17], [18], [19]. Recent studies indicated that application of various energy efficient technologies could lead to a continuous improvement in energy efficiency in different industry sectors [20], [21], [22], [23]. These studies developed cost curves for the mitigation technologies and concluded that significant potentials exist in cost effective energy savings and CO2 emission reduction. However, there was inadequate representation for interactions between efficiency technologies and the rest of the production systems (e.g., raw material). For example, efficiency measures can often bring about additional non-energy benefits or costs besides energy savings and cost reduction. Such non-energy benefits or costs may in turn affect productivity, production structure and costs over time.
Bottom-up approaches adopted in energy optimization models commonly require detailed technological representation in projecting future trends [24], [25], [26], [27]. Earlier, we recently modeled how steel demand is balanced under various alternative emission-reduction strategies such as energy efficiency measures, commodity trading, and carbon trading to meet a particular emission restriction target in the U.S. iron and steel sector via Industrial Sector Energy Efficiency Modeling (ISEEM) framework [28]. The results compared long-term impacts of different policy instruments aiming at reducing CO2 emissions by 20% from the business-as-usual scenario for steel-making in the U.S. It is found that corresponding to 20% emission-reduction target is 11–19% annual energy reduction in the medium term (i.e., 2030) and 9–20% annual energy reduction in a longer term (i.e., 2050). With the same emission-reduction target (i.e., 20% reduction), national energy efficiency strategy appears to have a higher impact on reducing energy and emission intensity than the other mitigation strategies such as commodity or carbon trades do in the U.S.
While national scale energy efficiency measures influence all countries differently, long-term impacts of such efficiency measures on production, structures, energy use, emissions, and costs are not yet fully understood, especially with moving emission-reduction targets in major economies such as China, India, and the U.S., of which collective annual steel production account for 55% of the world’s production [1]. The goal of this paper is to advance understanding of long-term impacts of national scale energy efficiency measures as a mitigation strategy on energy and emission reduction in China, India, and the U.S.’ iron and steel sectors from 2010 to 2050. The specific technical objectives in this paper are to:
- 1.
Examine the country-specific production and structure changes over time.
- 2.
Quantify the magnitudes and intensity of country-specific annual energy consumption and emissions.
- 3.
Estimate country-specific annual production cost and annual carbon abatement cost.
- 4.
Understand how production, energy and emission intensity and costs respond to variations in emission-reduction targets.
Section snippets
ISEEM and scenario definitions
This paper presents part of the research outcomes from a large project reported in Karali et al. [29]. ISEEM is a mathematical model to simulate energy systems, raw material and commodity flows, production systems, and trading mechanisms of specific industrial products, and is built on GAMS (General Algebraic Modeling System) optimization modeling interface. It is a technologically detailed linear optimization model with the goal of minimizing the total system costs over a set of predefined
Results
This section presents the projection of annual production, energy consumption, CO2 emissions, production costs and carbon abatement costs in the U.S., China, and India’s iron and steel sectors under the three ER scenarios in comparisons with the Base scenarios. Table 1 presents the upper bounds on annual CO2 emission levels corresponding to different reduction targets per country for three ER scenarios, and annual CO2 emission levels in the Base scenarios. For all countries, the upper bounds of
Summary and discussion
In order to advance the understanding of the long-term impacts of national scale energy efficiency measures in the U.S., China, and India iron and steel sectors, we applied ISEEM bottom-up energy modeling framework to project how steel demand in each country is balanced under three emission-reduction targets (i.e., 10%, 20%, and 30% emission reduction in each country), respectively; and how production, process structures, energy supply levels, and system costs change in responding to
Conclusions
In this paper we study the mitigation strategy with a focus on adopting national scale energy efficiency measures without any other policy instrument such as trading, and quantify the impacts on production, energy and emission intensity, and costs in iron and steel sectors of three major economies (China, India and the U.S.) under the same emission-reduction targets. Specifically, the annual emission restriction is initially set for 5% annual reduction from that of the Base scenario in 2015,
Acknowledgement
This paper is based upon results from a research project funded by the U.S. Environmental Protection Agency through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
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