The highly infectious and pathogenic novel coronavirus (CoV), severe acute respiratory syndrome (SARS)-CoV-2, has emerged causing a global pandemic. Although COVID-19 predominantly affects the respiratory system, evidence indicates a multisystem disease which is frequently severe and often results in death. Long-term sequelae of COVID-19 are unknown, but evidence from previous CoV outbreaks demonstrates impaired pulmonary and physical function, reduced quality of life and emotional distress. Many COVID-19 survivors who require critical care may develop psychological, physical and cognitive impairments. There is a clear need for guidance on the rehabilitation of COVID-19 survivors. This consensus statement was developed by an expert panel in the fields of rehabilitation, sport and exercise medicine (SEM), rheumatology, psychiatry, general practice, psychology and specialist pain, working at the Defence Medical Rehabilitation Centre, Stanford Hall, UK. Seven teams appraised evidence for the following domains relating to COVID-19 rehabilitation requirements: pulmonary, cardiac, SEM, psychological, musculoskeletal, neurorehabilitation and general medical. A chair combined recommendations generated within teams. A writing committee prepared the consensus statement in accordance with the appraisal of guidelines research and evaluation criteria, grading all recommendations with levels of evidence. Authors scored their level of agreement with each recommendation on a scale of 0–10. Substantial agreement (range 7.5–10) was reached for 36 recommendations following a chaired agreement meeting that was attended by all authors. This consensus statement provides an overarching framework assimilating evidence and likely requirements of multidisciplinary rehabilitation post COVID-19 illness, for a target population of active individuals, including military personnel and athletes.
This study provides an empirical assessment of energy use and greenhouse gas ͑GHG͒ emissions associated with high and low residential development. Three major elements of urban development are considered: construction materials for infrastructure ͑including residential dwellings, utilities, and roads͒, building operations, and transportation ͑private automobiles and public transit͒. Two case studies from the City of Toronto are analyzed. An economic input-output life-cycle assessment ͑EIO-LCA͒ model is applied to estimate the energy use and GHG emissions associated with the manufacture of construction materials for infrastructure. Operational requirements for dwellings and transportation are estimated using nationally and/or regionally averaged data. The results indicate that the most targeted measures to reduce GHG emissions in an urban development context should be aimed at transportation emissions, while the most targeted measures to reduce energy usage should focus on building operations. The results also show that low-density suburban development is more energy and GHG intensive ͑by a factor of 2.0-2.5͒ than high-density urban core development on a per capita basis. When the functional unit is changed to a per unit of living space basis the factor decreases to 1.0-1.5, illustrating that the choice of functional unit is highly relevant to a full understanding of urban density effects.
Companies are increasingly seeking to align their actions with the goals of the Paris Agreement. Over 1000 such companies have committed to the science-based targets initiative which seeks to align corporate carbon reduction targets with global decarbonisation trajectories. These ‘science-based targets’ are developed using a common set of resources and target-setting methodologies, then independently assessed and approved by a technical advisory group. Despite the initiative’s rapid rise to public prominence, it has received little attention to date in the academic literature. This paper discusses development of the initiative based upon a quantitative assessment of progress against each component of the science-based targets set by 81 early adopters, using information gathered from company annual reports, corporate social responsibility websites and Carbon Disclosure Project (CDP) responses. The analysis reveals a mixed picture of progress. Though the majority of targets assessed were on track and, in some cases, had already been achieved, just under half of the companies assessed were falling behind on one or more of their targets. Progress varied significantly by target scope, with more limited progress against targets focused on Scope 3 emissions. Company reporting practices were highly variable and often of poor quality. This paper concludes with a range of recommendations to improve the transparency, consistency and comparability of targets within this key agenda-setting initiative.
In recent years, global studies have attempted to understand the contribution that energy demand reduction could make to climate mitigation efforts. Here we develop a bottom-up, whole-system framework that comprehensively estimates the potential for energy demand reduction at a country level. Replicable for other countries, our framework is applied to the case of the United Kingdom where we find that reductions in energy demand of 52% by 2050 compared with 2020 levels are possible without compromising on citizens’ quality of life. This translates to annual energy demands of 40 GJ per person, compared with the current Organisation for Economic Co-operation and Development average of 116 GJ and the global average of 55 GJ. Our findings show that energy demand reduction can reduce reliance on high-risk carbon dioxide removal technologies, has moderate investment requirements and allows space for ratcheting up climate ambition. We conclude that national climate policy should increasingly develop and integrate energy demand reduction measures.
With increasing trade liberalization, attempts at accounting for environmental impacts and energy use across the manufacturing supply chain are complicated by the predominance of internationally supplied resources and products. This is particularly true for Canada and the United States, the world's largest trading partners. We use an economic input-output life-cycle assessment (EIO-LCA) technique to estimate the economy-wide energy intensity and greenhouse gas (GHG) emissions intensity for 45 manufacturing and resource sectors in Canada and the United States. Overall, we find that U.S. manufacturing and resource industries are about 1.15 times as energyintensive and 1.3 times as GHG-intensive as Canadian industries, with significant sector-specific discrepancies in energy and GHG intensity. This trend is mainly due to a greater direct reliance on fossil fuels for many U.S. industries, in addition to a highly fossil-fuel based electricity mix in the U.S. To account for these differences, we develop a 76 sector binational EIO-LCA model that implicitly considers trade in goods between Canada and the U.S. Our findings show that accounting for trade can significantly alter the results of life-cycle assessment studies, particularly for many Canadian manufacturing sectors, and the production/consumption of goods in one country often exerts significant energy-and GHG-influences on the other.
With the UK's legislation of a 2050 net zero emissions target, there is urgent need for radical industrial decarbonisation. The steel sector represented 12% of UK industrial emissions in 2016 and is therefore a critical target for mitigation. Mainstream scenario analyses variously assume use of unproven Carbon Capture and Storage (CCS) or reductions to steel demand in order to reach a 1.5 • C compatible budget by 2050. This analysis aims to: a) assess the mitigation potential of current technology options (excluding CCS) towards a cumulative budget aligned to net zero and assuming constant steel demand; b) to evaluate the potential of material efficiency to close any mitigation gaps, (where material efficiency is providing the same useful 'service' with less input of energy-intensive materials); and c) to discuss the importance of sectoral budget assumptions and other uncertainties in estimating the scale of future mitigation required by the industry and the policy implications of this. We modelled four key technology scenarios including steel plant retrofit, replacement of steelmaking technologies to best practice standards, fuel shifts to greater Electric Arc Furnace (EAF) production, and implementation of selected novel technologies, under different ambition levels. Technology scenarios could reduce cumulative Greenhouse Gas (GHG) emissions (2016-2050) by as much as 44% against a constant baseline, whilst coupled technology and material efficiency scenarios could achieve reductions of as much as 53%. We also find that whilst grid electricity decarbonisation and earlier demand reduction can achieve additional mitigation, there may still be a need for some CCS capacity in the long-term to address residual emissions. In the most ambitious case, absolute GHG emissions from the steel sector reduced by 80% by 2050 against 2016 levels, assuming grid decarbonisation. We found that the most effective interventions were through established technologies, such as retrofit, replacement and EAF production, since they were immediately available, with the condition they are implemented faster than previously observed. Given the commercialisation constraints of novel technologies, structural shifts such as material efficiency and EAF production were considered highly important. However, structural changes are necessarily more complex to influence via policy, and there is little precedent for structural change by design in the UK. Our results show that only complementary scenarios combining material efficiency and technology options would achieve a level of mitigation near to net zero in the UK. We conclude that it is possible to achieve net zero emissions in the UK steel sector, but that this would require greater and earlier levels of material efficiency and some degree of CCS removal capacity.
Energy Demand Reduction (EDR) refers to lowering the amount of energy required to provide energy services across mobility, shelter, nutrition or the production of goods and services, among others, with the goal of reducing greenhouse gas emissions. In recent years, global studies have attempted to understand the contribution EDR could make to climate mitigation efforts. Whilst these studies are important to build a global picture, climate targets and policy are necessarily devised at the national level. To address this disconnect, we develop a bottom-up, whole system framework that comprehensively estimates the potential for energy demand reduction at a country level. Replicable for other countries, our framework is applied to the case of the UK where we find that reductions in energy demand of 52% by 2050 compared with 2020 levels are possible without compromising on citizens’ quality of life. This translates to annual energy demands of 40GJ per person, compared to the current OECD average of 55GJ. Our findings show that EDR can reduce reliance on high-risk carbon dioxide removals, moderate investment requirements, and allow space for ratcheting up climate ambition. We conclude that national climate policy should increasingly develop and integrate EDR measures to both articulate national ambition and feeding into international pledges through Nationally Determined Contributions.
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