Selected 'Starter kit' energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021).

Energy system modeling can be used to develop internally-consistent quantified scenarios. These provide key insights needed to mobilise finance, understand market development, infrastructure deployment and the associated role of institutions, and generally support improved policymaking. However, access to data is often a barrier to starting energy system modeling, especially in developing countries, thereby causing delays to decision making. Therefore, this article provides data that can be used to create a simple zero-order energy system model for a range of developing countries in Africa, East Asia, and South America, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organisations, journal articles, and existing modeling studies. This means that the datasets can be easily updated based on the latest available information or more detailed and accurate local data. As an example, these data were also used to calibrate a simple energy system model for Kenya using the Open Source Energy Modeling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and the results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Higher cost of finance exacerbates a climate investment trap in developing economies.

Finance is vital for the green energy transition, but access to low cost finance is uneven as the cost of capital differs substantially between regions. This study shows how modelled decarbonisation pathways for developing economies are disproportionately impacted by different weighted average cost of capital (WACC) assumptions. For example, representing regionally-specific WACC values indicates 35% lower green electricity production in Africa for a cost-optimal 2 °C pathway than when regional considerations are ignored. Moreover, policy interventions lowering WACC values for low-carbon and high-carbon technologies by 2050 would allow Africa to reach net-zero emissions approximately 10 years earlier than when the cost of capital reduction is not considered. A climate investment trap arises for developing economies when climate-related investments remain chronically insufficient. Current finance frameworks present barriers to these finance flows and radical changes are needed so that capital is more equitably distributed.

Climate change impacts on the energy system: a review of trends and gaps.

Major transformation of the global energy system is required for climate change mitigation. However, energy demand patterns and supply systems are themselves subject to climate change impacts. These impacts will variously help and hinder mitigation and adaptation efforts, so it is vital they are well understood and incorporated into models used to study energy system decarbonisation pathways. To assess the current state of understanding of this topic and identify research priorities, this paper critically reviews the literature on the impacts of climate change on the energy supply system, summarising the regional coverage of studies, trends in their results and sources of disagreement. We then examine the ways in which these impacts have been represented in integrated assessment models of the electricity or energy system. Studies tend to agree broadly on impacts for wind, solar and thermal power stations. Projections for impacts on hydropower and bioenergy resources are more varied. Key uncertainties and gaps remain due to the variation between climate projections, modelling limitations and the regional bias of research interests. Priorities for future research include the following: further regional impact studies for developing countries; studies examining impacts of the changing variability of renewable resources, extreme weather events and combined hazards; inclusion of multiple climate feedback mechanisms in IAMs, accounting for adaptation options and climate model uncertainty.

Quality improvement pilot program for vulnerable elderly surgical patients.

The elderly are a growing surgical population with more comorbidities and less physiological reserve compared with nonelderly patients. The objective of our study was to implement a quality improvement pilot program targeting the specific needs of the elderly. We prospectively enrolled consecutive patients aged 65 years or older undergoing inpatient general or vascular surgery operations. Patients completed a preoperative assessment including the Vulnerable Elder Survey (VES) to determine baseline functional status and incidence of polypharmacy (five or more medications). They were interviewed postdischarge Day 2 and Day 30 for changes in functional status. An intervention was implemented consisting of an elderly-specific postoperative order set and preoperative risk reports sent to the surgical team with instructions to order physical therapy consults and home health nursing on discharge for VES 3 or greater and geriatrics consults for patients with polypharmacy. The elderly-specific order set was used for 71 per cent of the postintervention group. There were no differences in the percentage of participants receiving physical therapy, geriatric, or home health nursing consults between the two groups. The postintervention group had significantly better functional status on postdischarge Day 30 (P < 0.01). Our preliminary data suggest that individualizing care for elderly patients is feasible and may improve postoperative outcomes.

Health on the road: issues faced by female truck drivers.

Nearly 3 million long haul truck drivers transport goods across America. Truck driving is rated as the nation's third largest growth occupation. Between 174,000 and 290,000 drivers are women and the percentage of women in trucking is growing. A descriptive study was conducted to identify health conditions, health care access, and driving environments of female drivers. Analyses of the 284 surveys showed only 77.8% had a usual place of health care. One of five had no insurance coverage and only 35 respondents had paid sick leave. Drivers reported substantial prevalence of sinus problems, back pain, migraine headaches, and hypertension. Drivers ignored symptoms or self medicated when working. More than 40% expressed dissatisfaction with health care while "on the road." Occupational health nurses may be in positions to address the special needs of drivers through websites, trucker health clinics, or special programs delivered where truckers congregate.