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Many ports and terminals endeavor to enhance energy efficiency as energy prices have increased through years and climate change mitigation is a key target for the port industry. Stricter environmental regulations are adopted by authorities to limit pollutants and GHG emissions arising from energy consumption. Increasingly, port operational strategies and energy usage patterns are under scrutiny. To ingrain sustainability and environmental protection of ports, the use of innovative technology appears as a critical conduit in achieving a transition from a carbon-intensive port industry (dependent on fossil fuels) to a low-carbon port model by harnessing renewable energy, alternative fuels (e.g. LNG, hydrogen, biofuel), smarter power distribution systems, energy consumption measurement systems. In this context, this paper conducts a systematic literature review to analyze operational strategies (e.g. peak shaving, operations optimization), technology usage (e.g. electrification of equipment, cold-ironing, energy storage systems), renewable energy, alternative fuels and energy management systems (e.g. smart grid with renewable energy) for improving the energy efficiency and environmental performance of ports and terminals. Research gaps and future research directions are identified. Analysis shows that there is a great potential for ports to achieve further energy efficiency and researchers have many impactful research opportunities. • A detailed literature review on energy efficiency in ports and container terminals is conducted. • Operational strategies such as optimization of port operations and peak shaving methods are presented. • Technologies such as electrification of equipment, cold-ironing, energy storage systems, smart grid, microgrid are reviewed. • Renewable energy and clean fuel use in ports are presented. • Methods regarding energy consumption and emission measuring/assessment are detailed for ports. [ABSTRACT FROM AUTHOR]

The sustainability paradigm has gained global attention, and the same has been expected from the economies having increasing levels of environmental footprints over the past couple of decades. This research aims to investigate the nexus between clean energy technologies and climate change mitigation among the top ecologically pollutant (TEP) economies during 1996–2020. The research incorporated other drivers of climate change, including energy efficiency, industrialization, and sustainable policies through environmental regulations. The methodological context covers the necessary preliminary tests and the Method of Moment Quantile Regression (MMQR). The preliminary results indicate that TEP economies are interdependent with the heterogenous slope coefficients, stationarity data trends, and cointegrated relationships. The findings from the MMQR unveiled that clean energy technologies tend to mitigate climate change from 0.10th to 0.70th quantiles. Relatedly, energy efficiency reduces the environmental burden across all the quantiles except for the 0.10th one. Conversely, industrialization and economic growth cause an upward shift in climate change among TEP economies across all the quantiles, suggesting a need to shift production-based economies to more service-intensive ones. However, the study found no significant evidence for the nexus between sustainable environmental policies and climate change. The robustness checks also validate the MMQR estimations; however, their parameters' magnitude substantially varied. These outcomes encourage policymakers to implement holistic strategies supporting energy innovation, technologies, and efficiency improvements while controlling the adverse effects of industrialization and traditional growth models. [Display omitted] • Mitigating climate change needs a universal call. • A novel approach, MMQR, has been applied. • Both clean energy technologies and energy efficiency reduce ecological footprints. • Industrialization and economic growth disturb the sustainability paradigm. [ABSTRACT FROM AUTHOR]

Setting targets and normalising them are two of the most important elements in the recently introduced market-based climate-change mitigation policy―Perform, Achieve, and Trade (PAT)―in India. The scheme permits, in the monitoring and verification phase, normalisation of the efficiency realisation against unfavourable working conditions. On the one hand, such normalisation brings the energy efficiencies of plants operating in different conditions to a common level, on the other hand, adjustments resulting from normalisation are likely to provide free-riding benefits, and in addition, results in alteration of efficiency realisation. This may be a source of distortion in the market expectation, resulting in trading phase uncertainties. This paper examines the effects of normalisation on the specific energy consumption in the context of the PAT scheme in the coal-based power sector. The paper makes a cross-sectional analysis involving data envelopment analysis and Tobit regression. The results indicate that effect of variation in system demand, planned maintenance time, forced outage, fuel quality, and fuel mix on specific energy consumption is substantial. However, the effect of the variability in coal quality and fuel mix is significantly higher than the other variables. Therefore, use of clean-coal is suggested to stabilise the specific energy consumption for a stable certificate market. [ABSTRACT FROM AUTHOR]