Environmental sustainability assessment using dynamic Autoregressive-Distributed Lag simulations—Nexus between greenhouse gas emissions, biomass energy, food and economic growth

Modelling food demand in the 21st century

Mitigating Curtailment and Carbon Emissions through Load Migration between Data Centers

Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach

The environmental challenges that have arisen as a result of rapid economic growth have become a hindrance to social progress. This article examines the effects of energy consumption, urbanization, industrialization, economic development, and technological innovations on South Korea's greenhouse gas (GHG) emissions. Using data from 1990 to 2021 and the autoregressive distributed lag (ARDL) method for empirical investigations, the findings indicate that fossil fuel energy consumption, urbanization, industrialization, and economic expansion all pose a threat to environmental sustainability due to their positive impact on GHG emissions. In contrast, the results suggest that renewable energy usage and technological innovations improve environmental sustainability by reducing GHG emissions in both the short and long term. In addition, the findings were validated using Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) techniques. The most significant contribution is that the findings of this study provide various policy recommendations for achieving environmental sustainability and net zero emissions in South Korea.

Life cycle assessment of the energy consumption and GHG emissions of state-of-the-art automotive battery cell production

Energy-related GHG emission in agriculture of the European countries: An application of the Generalized Divisia Index

Managing food waste is key to tackling climate change

In this paper, we used the life-cycle analysis (LCA) method to evaluate the energy consumption and greenhouse gas (GHG) emissions of natural gas (NG) distributed generation (DG) projects in China. We took the China Resources Snow Breweries (CRSB) NG DG project in Sichuan province of China as a base scenario and compared its life cycle energy consumption and GHG emissions performance against five further scenarios. We found the CRSB DG project (all energy input is NG) can reduce GHG emissions by 22%, but increase energy consumption by 12% relative to the scenario, using coal combined with grid electricity as an energy input. The LCA also indicated that the CRSB project can save 24% of energy and reduce GHG emissions by 48% relative to the all-coal scenario. The studied NG-based DG project presents major GHG emissions reduction advantages over the traditional centralized energy system. Moreover, this reduction of energy consumption and GHG emissions can be expanded if the extra electricity from the DG project can be supplied to the public grid. The action of combining renewable energy into the NG DG system can also strengthen the dual merit of energy conservation and GHG emissions reduction. The marginal CO2 abatement cost of the studied project is about 51 USD/ton CO2 equivalent, which is relatively low. Policymakers are recommended to support NG DG technology development and application in China and globally to boost NG utilization and control GHG emissions.

基于生命周期评价的上海市水稻生产碳足迹研究

Climate-smart livestock production at landscape level in Kenya

Health Care and Climate Change: Challenges and Pathways to Sustainable Health Care.

产业园区温室气体排放清单研究

Over the last half-century, global attention has focused on climate change, particularly changes in air temperature. Concerns about the sustainability of the Earth’s ecosystems and other human life on the land are increasing along with population growth, rising surface temperature, and higher greenhouse gas (GHG) emissions. Agriculture is responsible for ~18% of total GHG emissions. Therefore, mitigating the effects of climate change by reducing GHG emissions is essential and can be achieved by careful evaluation of the carbon footprint (CF). The goal of this study was to gain a better understanding of the changes in CF due to agricultural management practices. Carbon footprint is a popular concept in agro-environmental sciences owing to its role in the environmental impact assessments related to alternative solutions and global climate change. The CF of agricultural products is one of the most crucial indicators to assess the effectiveness and long-term viability of agricultural products. Soil-moisture content, soil temperature, porosity, and anoxic conditions are some of the soil properties directly related to GHG emissions. The GHG emissions are also affected by different land-use changes, soil types, and agricultural management practices. Globally, better soil-management techniques can alter atmospheric GHG emissions. Therefore, the relation between photosynthesis and GHG emissions is impacted by agricultural management practices, especially focusing on soil and related systems. When maximizing crop productivity, environmental factors, land use, and agricultural practices all should be considered in CF management. The current review highlights the importance of CF and its role in maintaining the sustainability of agricultural systems.

Life cycle energy consumption and GHG emissions of biomass-to-hydrogen process in comparison with coal-to-hydrogen process

Importance of reducing GHG emissions in power transmission and distribution systems