Impact on mortality of pathways to net zero greenhouse gas emissions in England and Wales: a multisectoral modelling study

Milner, James; Turner, Grace; Ibbetson, Andrew; Colombo, Patricia Eustachio; Green, Rosemary; Dangour, Alan D.; Haines, Andy; Wilkinson, Paul

doi:10.1016/s2542-5196(22)00310-2

Cited by 21 publications

(16 citation statements)

References 29 publications

(18 reference statements)

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“…Energy GDP Emissions Energy (15) From Eqn (15), there are at least four main factors that determine the overall GHG emissions of a country; the population, the GDP per capita, the energy intensity, and the emissions produced by energy generation and consumption technologies. Figure 5 shows the emission per capita of Ghana between 1990 and 2016.…”

Section: = Population Gdp Populationmentioning

confidence: 99%

“…Greenhouse gas emission assessment is important for identifying sources of emissions, quantifying emissions, developing emissions reduction strategies, supporting international climate agreements, and improving understanding of climate change 12,13 . However, to identify emission trends over time and specific sectors or regions that contribute disproportionately to total emissions and provide a basis for evidence‐based policy and decision making, it is crucial to develop frameworks that are capable of reliably predicting future GHG emissions 14,15 . Greenhouse gas emission modeling includes emission inventory modeling, integrated assessment modeling, sector‐specific modeling, climate modeling, and emission scenarios and uncertainty analysis 16,17 .…”

Section: Introductionmentioning

confidence: 99%

“…12,13 However, to identify emission trends over time and specific sectors or regions that contribute disproportionately to total emissions and provide a basis for evidence-based policy and decision making, it is crucial to develop frameworks that are capable of reliably predicting future GHG emissions. 14,15 Greenhouse gas emission modeling includes emission inventory modeling, integrated assessment modeling, sector-specific modeling, climate modeling, and emission scenarios and uncertainty analysis. 16,17 Depending on the specific requirements, sector, and scale of analysis, different modeling tools and methods can be used.…”

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confidence: 99%

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Predictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future

Sokama‐Neuyam,

Amezah,

Adjei

et al. 2023

Greenhouse Gases

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Ghana is determined to reduce greenhouse gas (GHG) emissions by at least 15% by 2030 and attain net‐zero emissions by 2070. However, like many developing countries, Ghana must utilize its limited resources effectively to actualize its climate goals. Currently, climate policies in the country are not driven by emission data, which has important implications on effective utilization of resources and selection of efficient mitigation techniques. We analyzed energy consumption and GHG emission data between 1990 and 2016 from Ghana's energy sector which is responsible for about 36% of the country's total emissions. Predictive models were then developed using machine learning to forecast energy related emissions up to 2030. Based on the analysis and projections, attainable data‐driven recommendations were proposed to direct climate policies in the country. We found that between 1990 and 2016, petroleum fuel consumption increased by about 64.5% and the corresponding GHG emissions increased by 303%. The projections suggests that by 2030, energy sector emissions could increase by 131% compared to 2016 levels. Transport sector emission is also projected to increase by a whopping 219% and fuel consumption could hit 6742 ktoe by 2030, which is about 106% increase from the 2016 benchmark. The findings from this work will direct policy for effective mitigation of GHG emissions in the country while ensuring effective utilization of climate resources to pursue its net‐zero targets. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: = Population Gdp Populationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Predictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future

Sokama‐Neuyam,

Amezah,

Adjei

et al. 2023

Greenhouse Gases

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“…To achieve this, housing needs to become more energy efficient and run on renewable energy [1]. If implemented correctly, significant health benefits can also be achieved through improvements to thermal conditions [2]. Home energy efficiency (HEE) improvements to the building envelope include adding insulation to walls, loft and floors, glazing upgrades and draught proofing.…”

Section: Introductionmentioning

confidence: 99%

Exploring assumptions for air infiltration rate estimates using indoor radon in UK homes

Symonds,

Chalabi,

Petrou

et al. 2023

J. Phys.: Conf. Ser.

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Radon, a known carcinogen, is one of the most commonly monitored indoor contaminants. This paper utilises findings from a previous study on indoor radon measurements in United Kingdom (UK) homes to explore the UK Government’s Standard Assessment Procedure (SAP) assumptions for air infiltration rates. These assumptions are important as they are used to assess the energy performance of dwellings and compliance with building regulations. Indoor radon data is aggregated by 16 combinations of home energy efficiency measures (loft and wall insulation, glazing upgrades and draught proofing) and fitted using a simple analytic radon model. We find indoor radon to be inversely proportional to air change rate and proportional to a fit coefficient, k, of 42.2 ± 3.1 (95% Confidence Interval (CI)). We also show that the assumptions within SAP used to estimate home infiltration rates can be modified to include the impact of home energy efficiency which improves the fit (R 2 from 0.38 to 0.51) to the radon data. This work provides evidence to help improve assumptions regarding the effects of home energy efficiency on infiltration rates.

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“…The Lancet found that three policy actions relating to active travel, sustainable food, and home energy efficiency have the potential to save 1.7 million life years by 2050, and 9.4 million life years by 2100 4. Researchers from C40 Cities and Leeds University found that promoting plant-based diets and advocating active transport over private car use could drop the UK’s consumption emissions by between 8.5% and 12.2% 5.…”

mentioning

confidence: 99%

Protecting public health from the risks caused by the climate and ecological crises must be at the centre of government policy and action

2023

BMJ

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Impact on mortality of pathways to net zero greenhouse gas emissions in England and Wales: a multisectoral modelling study

Cited by 21 publications

References 29 publications

Predictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future

Predictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future

Exploring assumptions for air infiltration rate estimates using indoor radon in UK homes

Protecting public health from the risks caused by the climate and ecological crises must be at the centre of government policy and action

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