Techno-economic dataset and assumptions for long-term energy systems modelling in the Dominican Republic (2024–2050)

The land transport sector, impacting fossil fuel consumption, has been selected as one of the sectors to apply decarbonization strategies. Energy systems modelling is an applied tool to evaluate scenarios and strategies that can be implemented in the transport sector to achieve energy transitions. These energy modelling tools need a dataset that allows the simulation of alternative scenarios of the systems. For this purpose, a collection and processing of technical-economic data is needed to ensure a quality input for simulation tools. This article presents a set of open data to create a model of the energy system of the Dominican Republic to assess alternative scenarios and develop strategies to achieve the energy transition in the land transport sector. This exercise is performed to support the energy planning policies of the country. Although the dataset is presented for the conditions of the Dominican Republic, the insight regarding data gathering and processing can be applied to other island countries. The data obtained are an open-access database of energy regulators, generation agents, and representatives of the generation, transmission, and distribution sector, as well as websites, databases of international organizations, scientific journals, and standards. Therefore, the data presented can be updated as the technical-economic information becomes public

Environmental Risk Assessment of Sunscreens

22 pagesThe sunscreens are complex products for protecting the skin of UV radiation. These products contain active ingredients organic and inorganic UV filters. The release of some of these components can provoke negative effects to aquatic ecosystems. The UV filters have shown to be present in environmental compartments (freshwater, wastewater, groundwater, seawater, sediment, and sand) and to be ubiquitous, motivated by the use in other applications. To assess the environmental risk of these products implies to know exposure conditions and toxic effects in order to establish the risk quotient. This is calculated as the ratio between predicted environmental concentration (PEC) or measured environmental concentration (MEC) and predicted no-effect concentration (PNEC). The organic compounds that presented higher risk were benzophenone-3, ethylhexyl methoxycinnamate, and 4-methylbenzylidene camphor. Nevertheless, this risk is depending on the location and environmental compartment. The lack of a database concentration of inorganic nanoparticles (TiO2 and ZnO) makes difficult to carry out a realistic assessment of environmental risk, although using modeled data an approach was carried out. The results evidenced that certain risk can be related to the release of these nanomaterials from sunscreens, although a refinement will be necessary to reduce the uncertainties. Finally, some gaps of information have been identified in order to get a more realistic environmental risk assessment. Thus, the toxicity of the mixture of sunscreens compounds under realistic conditions and the improvement of the knowledge of their mode of actions could be the next stepsWe would like to thank to the projects CTM2016-75908-R funding by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) and FEDER funds and the Junta de Andalucía PAIDI, Excellence Research Group RNM306 for their supportPeer reviewe