Environmental-aware virtual data center network

As one of the first worldwide initiatives provisioning ICT (Information and Communication Technologies) services entirely based on renewable energy such as solar, wind and hydroelectricity across Canada and around the world, the GreenStar Network (GSN) is developed to dynamically transport user services to be processed in data centers built in proximity to green energy sources, reducing GHG (Greenhouse Gas) emissions of ICT equipments. Regarding the current approach, which focuses mainly in reducing energy consumption at the micro-level through energy efficiency improvements, the overall energy consumption will eventually increase due to the growing demand from new services and users, resulting in an increase in GHG emissions. Based on the cooperation between Mantychore FP7 and the GSN, our approach is, therefore, much broader and more appropriate because it focuses on GHG emission reductions at the macro-level. Whilst energy efficiency techniques are still encouraged at low-end client equipments, the heaviest computing services are dedicated to virtual data centers powered completely by green energy from a large abundant reserve of natural resources, particularly in northern countries.KeywordsGreen Star NetworkMantychore FP7green ICTFuture Internet

Major US electric utility climate pledges have the potential to collectively reduce power sector emissions by one-third

Greenhouse gas (GHG) emissions reduction in the electricity sector: Implications of increasing renewable energy penetration in Ghana's electricity generation mix

Urban water cycle systems(UWCS), including water treatment facilities, distribution facilities, sewers, and wastewater treatment facilities, are energy intensive and significant source of greenhouse gas (GHG) emissions, making the reduction of GHG emissions and the transition to eco-friendly energy essential. This study identifies specific GHG emission sources at each stage of the UWCS and proposes detailed methods to achieve a 40% reduction in GHG emissions, implement RE100, and attain Net Zero by employing insets and offsets. This study develops scenarios for insets and offsets based on the baseline process of the UWCS, and investigates potential pathways to reduce GHG emissions by quantifying emissions from each process. Internal insets, which are self-implemented and technical measures, are prioritized, while external offsets are applied to compensate for the remaining emissions. Internal insets include the application of anaerobic digesters and combined heat and power(CHP), improvements in energy efficiency of equipment, reduction in water pipe leakage, implementation of water footprint labeling, and installation of on-site photovoltaic system. External offsets comprise renewable energy certificates(REC), power purchase agreements(PPA), green hydrogen fuel for vehicles, natural sequestration improvement, and emission trading system. GHG emissions at each stage within the UWCS are quantified using modeling software. Based on these results, the effectiveness of insets and offsets in achieving a 40% GHG emissions reduction, Net Zero, and RE100 goal is analyzed. The baseline total GHG emissions for the UWCS are estimated at 4,732.8 tCO2eq/yr, of which 56.8% is identified as targets for internal insets, and the remaining 43.2% is reduced through external offsets. A 40% GHG reduction can be achieved through internal insets, and Net Zero can be attained by incorporating additionally applying external offsets. The total power demand of UWCS facilities and equipment is calculated as 572.8 kW. Renewable energy is generated through anaerobic digesters and CHP(116.1kW) as well as on-site PV(395.0 kW), while RE100 compliance is achieved by securing an aditional 61.7 kW through REC/PPA. Achieving Net Zero and RE100 requires prioritizing strategies for insets, offsets and efficient resource allocation. For this, the technical feasibility and self-implementation potential of reduction efforts and the external conditions for offsets, should be carefully reviewed to optimize implementation strategies. GHG reduction and renewable energy utilization in the UWCS are key priorities for addressing the climate crisis and achieving sustainable water resource management, requiring technological innovation and institutional support. The comprehensive and systematic application of GHG insets and offsets is the optimal approach to achieving these goals. Furthermore, modeling software serves as a key tool for quantifying GHG emissions and formulating concrete, viable GHG reduction strategies. In addition to the technical and institutional approaches proposed in this study, achieving Net Zero and implementing RE100 requires the integrated consideration of economic factors in the future.

Energy efficiency is widely accepted as a tool to achieve reductions in greenhouse gas (GHG) emissions. And reductions in GHG emissions are necessary in order to control the effects of climate change resulting from increased GHG emissions. With these statements the assemblage that explains the need for energy efficiency is supposedly complete. But that simply is not the case. Energy efficiency is not only pursued for reasons other than GHG emission reductions but is often pursed by actors that actually reject the entire notion of human-caused climate change and/or reject GHG emissions as a cause for climate change. In this paper I explore how and why actual actors decouple energy efficiency from climate change and examine some of the factors actors include in their decisions to pursue energy efficiency that are not related to climate change.

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

Greenhouse gas contribution and emission reduction potential prediction of China's aluminum industry

The production of six regionally important cellulosic biomass feedstocks, including pine, eucalyptus, unmanaged hardwoods, forest residues, switchgrass, and sweet sorghum, was analyzed using consistent life cycle methodologies and system boundaries to identify feedstocks with the lowest cost and environmental impacts. Supply chain analysis models were created for each feedstock calculating costs and supply chain requirements for the production 453,592 dry tonnes of biomass per year. Cradle-to-gate environmental impacts from these supply systems were quantified for nine mid-point indicators using SimaPro 7.2 LCA software. Conversion of grassland to managed forest for bioenergy resulted in large reductions in GHG emissions, due to carbon sequestration associated with direct land use change. However, converting forests to energy cropland resulted in large increases in GHG emissions. Production of forest-based feedstocks for biofuels resulted in lower delivered cost, lower greenhouse gas (GHG) emissions and lower overall environmental impacts than the studied agricultural feedstocks. Forest residues had the lowest environmental impact and delivered cost per dry tonne. Using forest-based biomass feedstocks instead of agricultural feedstocks would result in lower cradle-to-gate environmental impacts and delivered biomass costs for biofuel production in the southern U.S.

Global warming and climate change are caused by anthropogenic greenhouse gas (GHG) emissions from rising energy consumption due to population and economic growth. Over the past decade, information and communication technology (ICT) usage has increased which may increase energy utilization and GHG emissions. Conversely, ICT's clean technologies can minimize pollution. Therefore, this study investigated the dynamic influences of ICT, economic growth, population, and energy use on GHG emissions in Malaysia by employing the autoregressive distributed lag (ARDL) approach using data from 1990 to 2021. The results of the ARDL bounds test indicated the existence of a long-run link between the variables. The results revealed that a 1% increase in the number of Internet users could increase GHG emissions by 0.013% in the short run but cut GHG emissions by 0.077% in the long run. Additionally, economic growth, population, and energy usage have a positive association with GHG emissions. The robustness of the ARDL outcomes has been checked by using the Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) methods. This article offers additional policy proposals for emission reduction and sustainable development by promoting renewable energy use and financing green ICT.

National and international agreements aim to limit climate change and thus call for a reduction of greenhouse gas (GHG) emissions to nearly zero. A wide range of technologies promise to reduce the heat demand of buildings and also promote renewable energies. One of these technologies is the use of solid building structures as thermal storage, so called thermally activated building parts or TABS. Thermal simulations of such energy concept for a typical single-family house with 140 m² living space featuring a heat pump, a solar thermal collector and TABS show that the share of solar heat for heat supply can be increased, resulting in a decreased use of the heat pump and thus a lower demand of electric energy. This leads to reduced greenhouse gas emissions and lower operating costs. Furthermore, the simulations show that larger sizes of the TABS and the solar thermal collector lead to lower demand of electric energy. To secure a reduction of greenhouse gas emissions and costs over the whole lifecycle of a building also production and dismantling, disposal and recycling must be considered. A Life Cycle Cost (LCC) Analysis shows that TABS in combination with solar heat reduce LCC, expressed as present values, by app. 34%. The reductions are mainly due to the lower operating costs of the heating system. Increasing the size of south-facing solar collectors leads to asymptotically decreasing costs. For the less favourable orientations to the West and East, the optimum size of the collector is between 30 and 40 m², depending on the orientation and the size of the TABS. A minimum size of the TABS must be available, while additional TABS do not lead to further reductions. Also in an ecologic sense, the use of TABS in combination with solar heat is beneficial. The simulations in this research show that the greenhouse gas (GHG) emissions over the whole lifecycle can be reduced by 27%. Again, the reduction mainly results from the decreased demand of electric energy and only slightly higher GHG emissions from the production of the TABS. Larger collector sizes lead to asymptotically reduced GHG emissions, when south facing. In contrast, orientations to the East and West lead to increased GHG emissions as the size of the collector increases. Integrated systems of heat pumps, solar thermal collectors and TABS could also be considered for multi-family housing and other building types. Simulations of LCC and LCA offer a suited means for assessing economic and ecologic impacts of innovative buildings concepts and should be used on a wider scale, ideally in combination.

Supply chain solutions are based on first-mile and last-mile deliveries; their efficiency significantly influences the total cost of operation. Drone technologies make it possible to improve first-mile and last-mile operations, but the design and optimization of these solutions offers new challenges. Within the frame of this article, the author focuses on the impact of integrated first-mile/last-mile drone-based delivery services from trucks, analyzing the impact of solutions on energy efficiency, the environmental impact and sustainability. The author describes a novel model of drone-based integrated first-mile/last-mile services which makes it possible to analyze the impact of different typical solutions on sustainability. As the numerical examples and computational results show, the integrated first-mile-last-mile drone-based service from trucks could lead to a significant reduction in energy consumption and a reduction in virtual greenhouse gas (GHG) emissions, which would lead to a more sustainable logistics system. The numerical analysis of the scenarios shows that the increased application of drones and the integration of first-mile and last-mile delivery operations could decrease energy consumption by about 87%. This reduction in energy consumption, depending on the generation source of electricity, significantly increases the reduction in greenhouse gas emission.

Imposing versus Enacting Commitments for the Long‐Term Energy Transition: Perspectives from the Firm

In conventional foundry, engineers generally consider the quality of casting part as the most essential issue and regard the energy consumption and Green House Gas (GHGs) emission as the auxiliary ones. This usually causes large amount of energy consumption as a result of the inefficient casting processes used and increases the production costs and environmental pollution. This paper presents the new CRIMSON process where its facility and melting process were compared with conventional melt furnaces and aluminium alloy melting process. An actual case was investigated to reveal quantitatively how the conventional foundry wastes energy and increases GHGs emission, and what the improvement of energy efficiency and the GHGs emission reduction can be achieved using the new CRIMSON process. The results of this investigation will help the foundry engineer recognize the importance of energy saving and environmental protection and show how to utilise this new process to reduce production costs and carbon footprint without decreasing the quality of the cast part.

The purpose of this research is to empirically reveal the effect of external technology R&D cooperation network diversity (ETRDCND) on the greenhouse gas (GHG) emission reduction and energy saving of small and medium-sized enterprises (SMEs). Besides this, this study aims at analyzing the roles of production time reduction and absorptive capacity in the relationship between SMEs’ ETRDCND and their GHG emission reduction and energy saving. GHG emission and energy usage have been playing a crucial role in aggravating global warming. Global warming results in big problems such as worldwide unusual weather and health disorders. SMEs play a substantial role in the industrial growth of the global economy, which increases GHG emission and energy consumption. By performing the ordinary least squares regression with the data of 3300 South Korean SMEs, this research reveals four points. First, ETRDCND positively influences SMEs’ GHG emission reduction and energy saving. Second, production time reduction perfectly mediates the relationship between SMEs’ ETRDCND and their GHG emission reduction and energy saving. Third, the mediating role of production time reduction in this relationship is moderated by SMEs’ absorptive capacity. Fourth, ETRDCND significantly influences SMEs’ GHG emission reduction and their energy saving only if SMEs possess their own absorptive capacity.

A framework for assessing the effects of shock events on livestock and environment in sub-Saharan Africa: The COVID-19 pandemic in Northern Kenya