Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Abstract

Computer Science Architecture (CSA), encompassing data, application, technology, and business architecture, is a vital tool for addressing climate change challenges. It aims to reduce greenhouse gas emissions from sectors such as stationary energy, transportation, industry, product use, waste, and land use. CSA principles extend to advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), Machine Learning (ML), data centers, blockchain, multi-agent systems, sensors, and smart grids. This review explores CSA's role in mitigating greenhouse gas emissions for a sustainable environment. It analyzes implications, indicators, and methodologies for data, application, technology, and business architecture, highlighting their direct impact on creating an environmentally friendly technological landscape. The study also delves into emerging trends and suggestions for future research, contributing to the discourse on leveraging technology for a greener future.INDEX TERMS Greenhouse gas emissions, computer science architecture, sustainable environment, review.

Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

“…The results underscore the necessity of adopting a multidisciplinary and holistic approach to leveraging artificial intelligence and the Internet of Things for environmental improvement. This approach highlights the complex interplay between technological and economic systems (Somantri and Surendro 2024). These conclusions support a post-institutional perspective on the roles of AI and IoT in sustainable development, spotlighting the necessity for an amalgamated approach to the oversight and regulation of these technologies to ensure sustainable progress.…”

“…These sources offered a contemporary view of how businesses globally are investing in and utilizing AI technologies, underlining the geographical disparities in the adoption of technology, which correlates with varying institutional support and economic strategies. Additionally, insights from Lee et al, who discuss the integration of IoT in sustainable development, and the work of Somantri and Surendro on the reduction of greenhouse gas emissions through technology were pivotal (Lee et al 2016;Somantri and Surendro 2024). These studies illustrate the practical applications of our theoretical model, showing how technological advancements are being leveraged to address global sustainability challenges.…”

Assessing the Impact of Recycled Building Materials on Environmental Sustainability and Energy Efficiency: A Comprehensive Framework for Reducing Greenhouse Gas Emissions

“…This highlights the crucial role of material use techniques in significantly reducing greenhouse gas (GHG) emissions. Somantri and Surendro (2024) argue that Computer Science design (CSA), which combines data, application, technology, and business design, is essential for addressing the difficulties presented by climate change. The goal of CSA is to promote a decrease in greenhouse gas (GHG) emissions in several areas, such as energy production, transportation, industry, product use, waste management, and land use [14].…”

“…Somantri and Surendro (2024) argue that Computer Science design (CSA), which combines data, application, technology, and business design, is essential for addressing the difficulties presented by climate change. The goal of CSA is to promote a decrease in greenhouse gas (GHG) emissions in several areas, such as energy production, transportation, industry, product use, waste management, and land use [14]. This viewpoint emphasizes the need to use modern computational architectures to accelerate environmental sustainability and reduce the effects of climate change.…”

“…Innovation and Digitalization in Construction [14,22,23] In the construction business, there is only a limited integration of innovative technology and digital solutions.…”