Carbon dioxide (CO2) emissions are a serious hazard to human life and the ecosystem. This is the reason that many measures have been put in place by the International Energy Agency (IEA) to reduce the anthropogenic-derived CO2 concentration in the atmosphere. Today, the potential of renewable energy sources has led to an increased interest in investment in carbon capture and storage technologies worldwide. The aim of this paper is to investigate state-of-the-art carbon capture and storage (CCS) technologies and their derivations for the identification of effective methods during the implementation of evidence-based energy policies. To this extent, this study reviews the current methods in three concepts: post-combustion; pre-combustion; and oxy-fuel combustion processes. The objective of this study is to explore the knowledge gap in recent carbon capture methods and provide a comparison between the most influential methods with high potential to aid in carbon capture. The study presents the importance of using all available technologies during the post-combustion process. To accomplish this, an ontological approach was adopted to analyze the feasibility of the CCS technologies available on the market. The study findings demonstrate that priority should be given to the applicability of certain methods for both industrial and domestic applications. On the contrary, the study also suggests that using the post-combustion method has the greatest potential, whereas other studies recommend the efficiency of the oxy-fuel process. Furthermore, the study findings also highlight the importance of using life cycle assessment (LCA) methods for the implementation of carbon capture technologies in buildings. This study contributes to the energy policy design related to carbon capture technologies in buildings.
Climate change has been caused by a dramatic increase in greenhouse gases (GHG)
[1]. This global problem has led to risks both to human health and the built environment worldwide. Warming climate conditions have caused coastal erosion and longer growing seasons in the agriculture industry. Additionally, a rise in global temperatures could result in melting glaciers and ice sheets and a rapid rise in sea levels. This phenomenon has caused changes in global weather and climate patterns. This is the reason that humankind has been experiencing more frequent floods, droughts, typhoons, and cyclones in the last three decades. In 2022, the Paris Agreement was put in place at the United Nations Climate Change Conference (COP21). This global summit was aimed at limiting global warming to below 2 °C, taking the baseline as pre-industrial temperature levels. This has led to efforts to limit the global temperature rise to 1.5 °C above pre-industrial levels
[2]. To achieve this, the Paris Agreement requires all United Nations countries to set strict CO
2 emissions reduction targets, which are directly related to climate change and mitigation strategies.
In response to the findings of the IPCC’s Special Report on Global Warming, the United Nations has called for an urgent plan to reduce CO
2 emissions and limit global temperatures to well below 1.5 °C
[3]. To achieve this target, the IPCC report has recommended as a mandatory task for all UN countries to reduce CO
2 emissions by 2030 and reach the goals of ‘net-zero’ emissions by the mid-century. This would require a rapid behavioral change in consumers’ habits of energy use
[3]. This has also been put into effect for producing goods, planning effective land management, and avoiding deforestation. To achieve the IPCC’s goals, increasing the use of renewable energy sources should be promoted, including solar and wind power systems, and the deployment of cost-effective emission technologies that aid in removing CO
2 emissions from the atmosphere.
In 2018, the summary for policymakers of the IPCC Special Report indicated that MAGICC and FAIR models are correlated with geophysical data gathered from simulations. The study found that there is a high degree of variation within a specific category and between the models
[4]. To this extent, many forecasting scenarios propose a temporary increase in global temperatures. This finding has been noted in previous studies on stringent mitigation efforts to reduce CO
2 emissions. Many scientists found that there is a very limited methodological framework, which has been considered the database approach to keeping future global warming below 1.5 °C throughout the 21st century
[5]. However, most studies highlighted that there is an inconsistent pathway in the global databases in order to limit the global temperature rise to 1.5 °C
[6,7][6][7]. This set threshold limit is expected to reach the benchmark criteria around the mid-century before lowering global temperatures to below pre-industrial records by 2100
[8]. However, it is difficult to distinguish the exact temperature characteristics of the different pathway categories due to various uncertainties and model dependencies in the simulation models. The extant literature studies stress that there is a possibility of reaching the exceedance limit of the average rise of 1.5 °C in global temperature by the mid-century because of the lack of data available on the assessment of the reliability of the weather data time series
[9].
In accordance with the Paris Agreement and the POST-2020 framework, numerous nations have come to a consensus to tackle the pressing issue of global warming and its adverse environmental consequences. To mitigate the risks posed by climate change, these countries have established distinct objectives aimed at reducing greenhouse gas emissions. As an illustration, the European Union (EU) has committed to reducing its CO2 emissions by 40% by the year 2030. Simultaneously, the United States (US) has set its target for a reduction of 26–28% by the year 2025. A comprehensive breakdown of these targets can be found in Table 1.
Table 1. Representative countries’ CO2 emissions reduction targets.
Country |
CO2 Emissions Reduction Target |
Target Year |
The EU |
40% |
2030 |
The USA |
26–28% |
2025 |
China |
60–65% |
2030 |
South Korea |
37% |
2030 |
Japan |
26% |
2030 |
Malaysia |
45% |
2030 |