Analysis of the correlating or competing nature of cost-driven and emissions-driven demand response

Wang, Hongxuan; Allman, Andrew

doi:10.1016/j.compchemeng.2023.108520

Cited by 2 publications

References 31 publications

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A Comparative Study of the Environmental, Social, and Governance Impacts of Renewable Energy Investment on CO2 Emissions in Brazil, Russia, India, China, and South Africa

Bi,

Khan

2024

Energies

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The issue of climate change and global warming is rapidly intensifying due to the extensive emissions of CO2. In response to this, countries worldwide are implementing policies to enact decarbonization strategies through social and governance investing strategies. The current study examined the effects of environmental, social, and governance investing, eco-innovation, renewable energy production and consumption, and carbon taxes from 2004 to 2023. At the highest, middle, and lowest levels, this paper examines the environmental policies, social and governance economies, and energy of the BRICS nations. We investigate variable relationships through cross-sectional autoregressive distributed latency. The results suggest that Brazil’s focus on sustainability-driven innovation, along with its high renewable energy balance and middle-level status, is indicative of significant environmental initiatives. India’s higher-ups prioritize green finance, and their investments in environmental, social, and governance areas may demonstrate their commitment to sustainable development. China has made considerable progress in renewable energy and carbon trading despite its vast population and high emissions. At a lower level, Russia’s sustainability initiatives are undergoing evolution and have the potential to make significant strides. The nation’s difficulties require a coordinated, long-term strategy. The empirical findings imply that BRICS countries can achieve carbon neutrality by modifying their economic growth and globalization strategies and increasing their focus on renewable energy, as well as investment and policy regulations.

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A Comparative Study of the Environmental, Social, and Governance Impacts of Renewable Energy Investment on CO2 Emissions in Brazil, Russia, India, China, and South Africa

Bi,

Khan

2024

Energies

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Artificial Intelligence and Machine Learning for Sustainable Molecular-to-Systems Engineering

Dowling

2024

Systems and Control Transactions

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Sustainability encompasses many wicked problems involving complex interdependencies across social, natural, and engineered systems. We argue holistic multiscale modeling and decision-support frameworks are needed to address multifaceted interdisciplinary aspects of these wicked problems. This review highlights three emerging research areas for artificial intelligence (AI) and machine learning (ML) in molecular-to-systems engineering for sustainability: (1) molecular discovery and materials design, (2) automation and self-driving laboratories, (3) process and systems-of-systems optimization. Recent advances in AI and ML are highlighted in four contemporary application areas in chemical engineering design: (1) equitable energy systems, (2) decarbonizing the power sector, (3) circular economies for critical materials, and (4) next-generation heating and cooling. These examples illustrate how AI and ML enable more sophisticated interdisciplinary multiscale models, faster optimization algorithms, more accurate uncertainty quantification, smarter and faster data collection, and incorporation of diverse stakeholders into decision-making processes, improving the robustness of engineering and policy designs while focusing on the multifaceted goals and constraints in wicked problems.

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Analysis of the correlating or competing nature of cost-driven and emissions-driven demand response

Cited by 2 publications

References 31 publications

A Comparative Study of the Environmental, Social, and Governance Impacts of Renewable Energy Investment on CO2 Emissions in Brazil, Russia, India, China, and South Africa

A Comparative Study of the Environmental, Social, and Governance Impacts of Renewable Energy Investment on CO2 Emissions in Brazil, Russia, India, China, and South Africa

Artificial Intelligence and Machine Learning for Sustainable Molecular-to-Systems Engineering

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