A dataset for energy demand and supply modelling in Sierra Leone.

Energy systems modelling plays a pivotal role in understanding and optimizing complex energy systems. By integrating various factors such as energy demand, supply, infrastructure, and environmental considerations, energy systems modelling provides valuable insights for policymakers, industry stakeholders, and researchers. This can be key to informing stakeholder and policy decisions and facilitate the mobilisation of capital and market development to support the development of the energy sector.

Transport starter data kit: Historical passenger and freight transport data for selected countries in Africa, Asia, and South America.

The demand for data-driven models to inform sustainable transportation planning has become more important as countries address the complexities of urban mobility. However, data collection and curation are time-consuming and can be challenging due to data inaccessibility and inaccuracy. The Transport Starter Data Kit therefore aims to address these challenges, offering a one-stop-shop for transport modelling-related data.

An open and lite technoeconomic dataset and assumptions for open energy, emissions and mitigation modeling in the Republic of South Africa.

This article provides a large-scale dataset for South African energy system modeling intended to aid long-term energy planning. The dataset, which is accessible on Zenodo, contains comprehensive data on installed capacity, resource potentials, historical and projected electricity production and consumption, capacity factors, and capital, fixed, and variable costs. The data was rigorously collected from national institutions, international organizations, and scholarly journals and organized into an easy-to-use Excel workbook.

The global and national energy systems techno-economic (GNESTE) database: Cost and performance data for electricity generation and storage technologies.

Power sector and energy systems models are widely used to explore the impacts of demographic, socio-economic or policy changes on the cost and emissions of electricity generation. Technology cost and performance data are essential inputs to such models. Despite the ubiquity and importance of these parameters, there is no standardised database which collates the variety of values from across the literature, so modellers must collect them independently each time they populate or update model inputs, leading to duplicated efforts and inconsistencies which can profoundly influence model results.

Fractured systems: a literature review of OR/MS methods applied to orthopaedic care settings and treatments.

Orthopaedic systems are facing an impending wave of increased pressures as a result of global ageing populations. This is compounded by the current stresses these services face, as a result of the COVID-19 pandemic, and increasing burden of musculoskeletal conditions. It is vital that measures are taken to alleviate the pressures on these systems, to ensure timely and quality access to care for patients.