Computers & Chemical Engineering | VOL. 133
Read

Long-term development of the industrial sector – Case study about electrification, fuel switching, and CCS in the USA

Publication Date Feb 1, 2020

Abstract

Abstract In the urgent quest for solutions to mitigate climate change, the industry is one of the most challenging sectors to decarbonize. In this work, a novel simulation framework is presented to model the investment decisions in industry, the Industrial Sector Module (ISM) of the ModUlar energy system Simulation Environment (MUSE). This work uses the ISM to quantify effects of three combined measures for CO2 emission reduction in industry, i.e. fuel switching, electrification, and adoption of Carbon Capture and Storage (CCS) and to simulate plausible scenarios (base scenario and climate ambitious scenario) for curbing emissions in the iron and steel sector in the USA between 2010 and 2050. Results show that when the climate ambitious scenario is applied, the cumulative emissions into the atmosphere (2,158 Mt CO2) are reduced by 40 % in comparison to the base scenario (3,608 Mt CO2). This decarbonization gap between both scenarios intensifies over time; in the year 2050, the CO2 intensity in the climate ambitious scenario is 81 % lower in comparison to the base scenario. The study shows that major contributions to industry decarbonization can come from the further uptake of secondary steel production. Results show also that a carbon tax drives the decarbonization process but is not sufficient on its own. In addition, the uptake of innovative low-carbon breakthrough technologies is necessary. It is concluded that industrial electrification is counterproductive for climate change mitigation, if electricity is not provided by...

Concepts
Powered ByUnsilo

Carbon Capture And Storage
Base Scenario
Industry
Climate
Steel
Carbon
Measures
Case Study
CO2 Intensity
Climate Change

Introducing Weekly Round-ups!Beta

Powered by R DiscoveryR Discovery

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

Coronavirus Research Articles published between Oct 11, 2021 to Oct 17, 2021

R DiscoveryOct 18, 2021
R DiscoveryArticles Included:  3

Muhammad Ikbal and colleagues (2021) reported in ‘Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes’ that the cov...

Read More

Climate change Research Articles published between Oct 11, 2021 to Oct 17, 2021

R DiscoveryOct 18, 2021
R DiscoveryArticles Included:  5

Junjie Jia et al. (2021) reported in ‘Driving mechanisms of gross primary productivity geographical patterns for Qinghai–Tibet Plateau lake systems’ t...

Read More

Coronavirus Pandemic

You can also read COVID related content on R COVID-19

R ProductsCOVID-19

ONE PROBLEM . ONE PURPOSE . ONE PLACE

Creating the world’s largest AI-driven & human-curated collection of research, news, expert recommendations and educational resources on COVID-19

COVID-19 Dashboard