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Social life cycle assessment (S-LCA) is a tool to address social impacts from a life cycle perspective. This work presents the first S-LCA of the Portuguese pulp and paper sector. It presents the social risks and the positive social impacts of the sector, which have not been extensively covered in the scientific literature. Two different approaches were used to compile the social life cycle inventory based on input-output analysis. Approach 1 was based on impact analysis of changes in added value. Approach 2 was based on structural path analysis, supporting the disaggregation by production levels (or tiers). The functional unit was the production of 1 United States Dollar in the Portuguese pulp and paper sector. In the social life cycle impact assessment, the social risk assessment was conducted using the Social Hotspots Database. The positive impacts were addressed considering indicators of employment and remuneration, namely total employment, number of employees, labor compensation, and compensation of employees. Based on Approach 1, the results of the social risks showed the Portuguese pulp and paper industry, commerce and forestry sectors, and the Spanish forestry sector as the critical sectors. Based on Approach 2, Portugal and Spain continued to be the countries having the greatest social risks. Other contributions of countries were identified at different production levels, particularly China in tier 3. In both approaches, the stakeholder category 'worker' was the most critical. Regarding the positive social impacts, Approach 1 showed that Portugal and Spain contribute to the highest employment level linked to the pulp and paper, commerce, and forestry sectors. Approach 2 supported the differentiation of employment and remuneration at different production levels. Tier 2 (direct suppliers) presented the highest employment level and persons engaged and the lowest remuneration level. The results showed that Approach 1 provides a faster and more aggregated assessment of social risks and positive social impacts. Furthermore, Approach 2 allowed a more detailed evaluation, providing a better understanding of the social risks and positive social impacts on the supply chain. Thus, Approach 2 is encouraged for different applications since it produces a better understanding of where social risks and positive social impacts occur, providing better guidance for corrective measures and decision-making. [ABSTRACT FROM AUTHOR]

• Innovation has been quantified with patents and significant innovations. • Innovation occurred in waves as Schumpeter indicated. • Major innovations were followed by incremental advances. • Process innovation predominated at first, followed by product innovation. • Indigenous innovation favored the absorption of foreign technology. Although Spain was not a leading country in technology, it generated numerous innovations, which must be analyzed in order to understand its particular development trajectory. This paper makes a contribution in this line by quantifying the innovation activity of the country's business elite between c. 1870 and 1970. In addition, we have sought to verify whether some of the well-known debated dynamics of innovation over time are fulfilled in this case. First with a descriptive analysis and then through the VAR technique, it has been found that innovation occurred in waves, as Schumpeter pointed out despite Kuznets; major innovations were followed by incremental advances; process innovations predominated in the early stages of modern development and product innovations gained preponderance later; and that indigenous innovation favored the importation of technology. A structural break test has identified sharp fluctuations in innovation, apparently related to institutional factors and relevant changes in the economy. [ABSTRACT FROM AUTHOR]

The demand for eco-products due to the exigency of friendly and environmental production could affect the employment of the firms. This paper tests whether product and process eco-innovations boost employment in Spain differentiating by the environmental goals (material and energy efficiency and environment responsiveness), by the level of qualification of the workers, and by the dirtiness of the industries. We apply a Green Harrison model, using the Technological Innovation Panel (PITEC) for Spain from 2008 to 2016. Results show a positive relationship between all types of product eco-innovations and employment, while the influence of process eco-innovations on employment depends on the environmental goals, the level of skills, and the industry. Specifically, distinguishing by industry there is a labour-saving effect in clean industries and a labour-friendly effect for low-skilled employment in dirty industries. [ABSTRACT FROM AUTHOR]

The prevalence of depression related to precarious employment (PE) has become a significant public health concern, given the declining trend of the standard employment relationship. Research has focused on the mental health detrimental effects of employment conditions, whereas there is scarce evidence concerning the burden of depression that could be prevented by targeting precariousness. This paper estimates the impact of PE on the risk of depression and the attributable fraction within the active and working salaried population in Spain. Observational cross-sectional on data drawn from the Spanish portion of European Health Survey 2020. After applying selection criteria and descriptives, binary logistic regression models stratified by sex are used to examine the associations between a 9-categories combination of employment precariousness and occupational social class, and depressive symptoms. There is a higher risk of depression among individuals in PE and among those who are unemployed, with a notable gradient based on occupational social class for women. Adjusting by sex, age and foreign-born origin, we estimate that approximately 15.0% (95% confidence interval [CI]: 1.0%–26.2%) of depression cases among the working population and 33.3% (95% CI: 23.2%-43.2) among the active population can be attributed to PE. These findings highlight the public health impact of PE on mental health, provide evidence to estimate the economic burden linked to employment-related mental health, and underscore the need for policy changes and interventions at the level of labour markets and workplaces to mitigate the detrimental effects of PE. [ABSTRACT FROM AUTHOR]

• Significant reduction (18.44%) in overall Spanish GHG emissions from 2008 to 2018, highlighting some differences depending on the considered phase of the crisis. • The total intensity effect has been noticeable negative, especially in Agriculture, Transport, and Other Services. • The total carbonization effect has contributed to increase GHG emissions by 5.86%, being particularly negative in the case of Industry. • Per capita production effect was strongly negative in Industry and slightly positive in the rest of the economic sectors. • R&D, more eco-friendly technologies, green energies, circular economy and consumer green attitudes: the best strategies to reduce GHG emissions. The reduction of GHG emissions to reverse the greenhouse effect is one of the main challenges in this century. In this paper we pursue two objectives. First, we analyze the evolution of GHG emissions in Spain in 2008–2018, at both the global and sectoral levels, with the variation in emissions decomposed into a set of determining factors. Second, we propose several actions specifically oriented to more tightly controlling the level of emissions. Our results showed a remarkable reduction (18.44%) in GHG emissions, mainly due to the intensity effect, but also to the production-per-capita effect. We detected somewhat different patterns among the various sectors analyzed. While the intensity effect was the most influential one in the agricultural, transport, and others sectors, the production-per-capita effect was predominant in the case of industry. The carbonization effect was revealed as crucial in the commerce sector. The above findings highlight the importance of the energy efficiency measures taken in recent years in the Spanish economy, also pointing to the need to deepen those strategies and to propose new measures that entail greater efficiency in emissions. Additional efforts in areas like innovation, R&D, diffusion of more eco-friendly technologies, and a greater use of greener energies all prove to be essential reduction actions to fight the greenhouse effect. [ABSTRACT FROM AUTHOR]

The number of Fuel Cell Electric Vehicles (FCEVs) in circulation has undergone a significant increase in recent years. This trend is foreseen to be stronger in the near future. In correlation with the FCEVs market increase, the hydrogen delivery infrastructure must be developed. With this aim, many countries have announced ambitious projects. For example, Spain has the objective of increasing the number of Hydrogen Refuelling Stations (HRS) with public access from three units in operation currently to about 150 by 2030. HRSs are complex systems with high variability in terms of layout design, size of components, operational strategy, hydrogen generation method or hydrogen generation location. This paper is focused on on-site HRS with electrolysis-based hydrogen production, which provides interesting advantages when renewable energy is utilized compared to off-site hydrogen production despite their complexity. To optimize HRS design and operation, a simulation model must be implemented. This paper describes a generic on-site HRS with electrolysis-based hydrogen production, a cascaded multi-tank storage system with multiple compressors, renewable energy sources, and multiple types of dispensing formats. A modelling approach of the layout is presented and tested with real-based parameters of an HRS currently under development, which is capable of producing 11.34 kg/h of green H 2 with irradiation at 1000 W/m2. For the operation, an operational strategy is proposed. The modelled system is tested through several simulations. A sensitivity analysis of the effects of hydrogen demand and day-ahead hydrogen production objective on emissions, demand satisfaction and variable costs is performed. Simulation results show how the operational strategy has achieved service up to 310 FCEVs refuelling events of heavy duty and light duty FCEVs, bringing the total H 2 sold up to almost 7200 H2kg in one month of winter. Additionally, considering variable costs of the energy from the utility grid, the model shows a profit in the range of 21–50 k€ for a daily demand of 60 H2kg/day and 100 H2kg/day, respectively. In terms of emissions, a year simulation with 60 H2kg/day of demand shows specific emissions in the production of H 2 in Spain of 6.26 kgCO2eq/H2kg, which represents a greenhouse gas emission intensity of 52.26 gCO2eq/H2MJ. • Modelling approach of hydrogen refuelling station with on-site hydrogen production. • Operational strategy with day-ahead scheduled grid-connected hydrogen production. • Finite-state machine online control of a multi-tank and multi-compressor plant. • Sensitivity analysis of hydrogen demand magnitude and frequency. • A trade-off between demand satisfaction, profits and emissions. [ABSTRACT FROM AUTHOR]

Deploying renewable hydrogen presents a significant challenge in accessing off-takers who are willing to make long-term investments. To address this challenge, current projects focus on large-scale deployment to replace the demand for non-renewable hydrogen, particularly in ammonia synthesis for fertiliser production plants. The traditional process, involving Steam Methane Reformers (SMR) connected to Haber-Bosch synthesis, could potentially transition towards decarbonisation by gradually integrating water electrolysis. However, the coexistence of these processes poses limitations in accommodating the integration of renewable hydrogen, thereby creating operational challenges for industrial hubs. To tackle this issue, this paper proposes an optimal dispatch model for producing green hydrogen and ammonia while considering the coexistence of different processes. Furthermore, the objective is to analyse external factors that could determine the appropriate regulatory and pricing framework to facilitate the phase-out of SMR in favour of renewable hydrogen production. The paper presents a case study based in Spain, utilising data from 2018, 2022 and 2030 perspectives on the country's renewable resources, gas and electricity wholesale markets, pricing ranges, and regulatory constraints to validate the model. The findings indicate that carbon emissions taxation and the availability and pricing of Power Purchase Agreements (PPAs) will play crucial roles in this transition - the carbon emission price required for total phasing out SMR with water electrolysis would be around 550 EUR/ton CO 2. • Addressing the co-existence of steam methane reformers and electrolysers. • Novel power dispatch model addressing the flexibility of co-existential pathways. • PPA availability and pricing and ETS taxation as key enablers of renewable hydrogen. • Carbon intensity constraints heavily impact the project's sizing and feasibility. • Techno-environmental study of the carbon intensity of ammonia production. [ABSTRACT FROM AUTHOR]

The aim of the study was to perform dimensional, morpho-structural, mechanical and chemical characterization of four materials based on paper currently in use in Romania (RO), Italy (IT), Spain (SP) and Slovenia (SLO) designed for the temporarily wrapping of meat. SEM-EDXS, FTIR and DSC showed that RO is laminated on one side with polyethylene, SP is waxed, IT is modified with a multilayered polyethylene film and SLO is coated with hydrophobized starch. RO, IT and SLO comply with the standards of determination of density, roughness, breaking length and bending resistance. The highest content of metals found in the SP explains the highest electrical conductivity and the poor quality of the recycled material used for manufacturing. The highest values of total dissolved solids (TDS) and chemical oxygen demand (COD) resulted for SP sample expressed its water solubility and availability of migration into foodstuff. RO, IT and SLO are suitable for food packaging. In contrast, SP do not meet the requirements for safety and mechanical resistance. [Display omitted] • Characterization of four types of materials based on paper. • RO, IT-single-face coated with PE, SP-double-side waxed, SLO-coated with starch. • RO, IT, SLO comply the standards of mechanical resistance and are suitable for food packaging. • SP do not meet the requirements for safety and mechanical resistance. [ABSTRACT FROM AUTHOR]

The electricity production from Renewable Energy (RE) in isolated locations requires long-term energy storage systems. To that end, Hybrid Energy Storage Systems (HESS), through a combination of hydrogen and batteries, can benefit from the different advantages of both technologies. This paper presents a hybrid Power-to-Power (PtP) Optimal Power Dispatch (OPD) model for isolated systems with no electric grid access. Currently, the electricity supply in such cases is usually based on a mix of RE as the primary energy source sustained by a diesel genset acting as a backup generator. In this context, the model delivers the hourly energy flows between renewable production sources, energy storage devices and the electrical load, which minimises costs and Green House Gases (GHG) emissions. For validation purposes, the model was tested through its application to a case study in an isolated area in the Canary Islands, Spain. The results show that the algorithm calculates the hourly OPD successfully for a given plant sizing, considering the defined operational states of the different assets. These operational constraints showed a decrease in the PtP round-trip efficiency of 5.4% and a reduction of the hydrogen production of 9.7%. Finally, the techno-economic analysis of the results proves that the combination of hydrogen and batteries with RE production is a feasible alternative to phasing out fossil fuels for the selected case study – reducing the diesel generator usage down to 1.2% of the yearly energy supply. • Novel multi-state optimal power dispatch model for power-to-power energy systems. • Multi-year techno-economic evaluation of an off-grid case study. • Phasing out fossil fuels with renewable energy-based hybrid energy storage systems. • Hydrogen technology contributes to a lower levelized cost of energy. • High initial investment cost was a significant entry barrier to deploying hydrogen. [ABSTRACT FROM AUTHOR]

This paper examines the selection mechanism underlying the association between overweight/obesity and educational aspirations of adolescents. This is a cross-sectional study based on a survey conducted in secondary schools in Spain in 2016. We estimate linear probability models to determine the association between adolescents' body mass index (BMI) and their expectations to obtain a university degree, as well as their school choices representing the most usual path towards higher studies. To address the potential endogeneity of BMI, we use the instrumental variables (IV) method. Additionally, we account for potential unobserved heterogeneity by including school fixed-effects and a wide set of individual and family characteristics in our analysis. Our results indicate that adolescents with a higher BMI have lower expectations to obtain a university degree and are less likely to enrol in high school with the intention to pursue higher education in the future. The estimated effect is quite sizable and statistically significant only for girls. We estimate that a five-unit increase in BMI (e.g., the change between healthy weight and overweight) reduces girls' expectations to complete higher education by 19 percentage points and odds of enrolling in high school (vs. vocational training) by 21 percentage points. We provide empirical evidence supporting the selection hypothesis behind the relationship between BMI and adolescents' educational aspirations. That is, unhealthy weight in adolescence is associated with poorer aspirations for further education. Lower educational aspirations during adolescence can lead to lower academic achievement, which in turn, may result in poorer health, labour market outcomes, and well-being during adulthood. [ABSTRACT FROM AUTHOR]

• GNSS-PWV time series are computed using 44 GNSS stations in Andalucía and ERA5 temperature and pressure data. • GNSS-PWV and ERA5-PWV are used to compute SPCI time series. • The SPCI generally shows high correlation with the SPEI, with better results for ERA5-SPCI than GNSS-SPCI. • The SPCI outperforms SPI for a limited geographical region and 24-month timescale. In this paper the Standardized Precipitation Conversion Index (SPCI), a PWV-based drought index, has been computed using GNSS and ERA5 PWV and its performance has been tested with respect to the Standardized Precipitation Evapotranspiration Index (SPEI) in Southern Spain. One of the climatic features of this area is the low correlation level between PWV and precipitation, in contrast with other areas in which SPCI has been previously tested. The GNSS-SPCI has been derived from validated ZTD time series estimated from local GNSS permanent stations' data. All the needed meteorological values were derived from ERA5, excepting precipitation values and SPEI-SPI values which were extracted from a national high-resolution dataset. The resulting SPCI time series have shown high correlation coefficients with respect to the SPEI. The use of longer SPCI time series allowed by ERA5 model has provided the most coherent results, suggesting that the ERA5-PWV data can be interesting to overcome problems caused by the short timespan of GNSS time series in SPCI computation. In general, high correlation coefficients have been obtained compared to global results from previous studies. This shows that, even for regions with low correlation levels between PWV and precipitation, the SPCI can have an interesting potential for drought monitoring. The SPCI was found to perform better on higher timescales (12 and 24 months). The performance of SPCI has also been compared that of the SPI: SPCI is able to outperform SPI for the 24-month timescale for a limited geographical region. This supports that the inclusion of PWV data in drought monitoring indices could be promising and is worth keeping to be investigated. [ABSTRACT FROM AUTHOR]

• Mining has a high level of serious accidents compared to all other sectors. The analysis is based on 15,032 accidents. • 12 variables are studied and the influence of each variable on the severity, which is divided into three types (light, serious and fatal). • The results make it possible to design prevention measures for the situations that have led to the most serious accidents. Introduction: The aim of this paper is to understand the causes of occupational accidents in Spain's mining sector in order to propose action plans and improve future accident rates. Method: This research analyzed a pool of data on 15,032 accidents occurring in the mining sector and reported to authorities between 2013 and 2018. Accidents are divided into three levels of severity: light, serious, and fatal. We study the influence of 12 variables on the accident severity rate in our sample. Results: The results show that accident severity is related to age, gender, nationality, length of service, economic activity, company size, accident location, days of injury leave, day of the week, deviation, injury, and specific Spanish region. This sector produces a high rate of serious accidents compared to all other sectors; has a male-dominated, older and experienced workforce; and employs mainly Spanish workers. Its activity is concentrated in larger companies and the work involves the use of heavy machinery and dangerous materials. We offer conclusions and future lines of research to help regulators, companies and workers to improve worker safety. [ABSTRACT FROM AUTHOR]

• Analysis of several factors that may be behind an undue extension of the injured worker's recovery time. • Comprehensive empirical analysis of more than 400,000 non-fatal work accidents in manufacturing industries. • Women, workers with more seniority, higher wages, and those employed in larger companies take longer to return to work after an occupational injury. • The duration of sick leave for immigrant workers is lower than for native-born workers. • Improving working conditions and supervision mechanisms during the recovery process is recommended to increase attendance motivation and reduce moral hazard exposure. Introduction : Despite the significant economic impact of occupational injuries on companies and society, studies focused on analyzing the determinants of workdays lost due to sick leave remain scarce and incomplete. This paper contributes to this issue by (a) analyzing the drivers of sick leave duration, distinguishing factors that explain the health recovery time from those that could lead workers to a voluntary extension of the absence period, and (b) formulating and empirically testing the effect of gender, citizenship, temporary work, job tenure, amount of disability benefit, and size of the injured worker's firm on the number of days the employee is off work after the injury. Method: Hypotheses are tested on a comprehensive dataset that includes all nonfatal occupational injuries causing sick leave that occurred in the manufacturing sector in Spain during 2015–2019, with more than 400,000 injuries. We conduct ordinary least squares and count data regression models in which the number of days off work is regressed on employees and work characteristics while accounting for a set of variables to control the injury's nature and severity. Results: The results show that after considering the intrinsic characteristics of the injury and the severity of the worker's injuries, women, native workers, workers with more seniority, workers with higher salaries, and those working in larger companies have longer periods of sick leave. The results suggest that moral hazard considerations significantly impact the time to return to work after an occupational injury. Practical applications: Based on the findings, several insights for company managers and public decision-makers are discussed. Specifically, interventions aimed at improving the organization of work and the working conditions of workers in manufacturing industries are highlighted, as well as the need to improve control and supervision mechanisms during the recovery process of injured workers. [ABSTRACT FROM AUTHOR]

• Mechanisms to encourage clean energy in Spain from 2005 to the present are analyzed. • FiT and FiP mechanisms can be effective in promoting new renewable projects. • Experience suggests that excessive support can jeopardize the entire market. • A transitional retribution scheme has proven to be effective if correctly supervised. This research paper delves into the central mechanisms implemented in Spain to foster the adoption of clean energy projects. The study scrutinizes various mechanisms established from 2005 onwards, evaluating their efficacy in achieving the desired outcome of supporting clean energy project implementation. The aim is to comprehensively assess the associated costs, effectiveness, and attainment of renewable energy objectives stemming from implementing diverse support schemes. This paper explores the effectiveness of feed-in tariffs and feed-in premium mechanisms in promoting the integration of new renewable energy generation into the power system. However, the Spanish experience suggests that exhaustive planning control is imperative to prevent excessive support costs that could jeopardize the entire market and cause a significant rise in final energy costs. The research studies the support schemes and associated market distortion and presents the roadmap from regulated tariffs to a "total market" for wind and solar energy. The findings demonstrate that, under proper supervision and planning, a transitional retribution scheme effectively promotes renewable energy plant integration. Finally, the analysis examines the need to regulate the excess benefits that non-emitting power sources receive in a marginal price market, as this can lead to market imbalances and a substantial increase in final costs. These plans serve as a crucial tool in achieving the decarbonization objectives of the European Power System. [ABSTRACT FROM AUTHOR]

• Pioneer Spain: first country to include in grid code the synthetic inertia capability. • Synthetic inertial response of a PV inverter studied based on the Spanish grid code. • Analyzed the role of power plant controller in the dynamic response of the facility. • PV system able to contribute to frequency control providing an inertial response. As the large-scale integration of renewable energy grows, inertia in power systems is reduced, which causes the rate of change of frequency to increase and worsens the frequency nadir during disturbances. There is, therefore, an urgent need to accelerate the development of international standards and regulations that require solar PV systems and other renewable installations to also contribute to stability in the network by emulating inertia. Spain is a pioneer in this field: it is currently the only country that includes the synthetic inertia technical requirement in its grid code. In this context, the present paper analyzes the synthetic inertial response of a PV system model that forms part of an actual PV power plant in Spain under two scenarios, according to its grid code: i) when measurements are conducted at the power conversion PV system level and hence only its control algorithms are executed; and ii) when measurements are conducted at the power plant level and the power plant controller also influences the response of the entire installation. Among its aims, this paper seeks to thoroughly assess the response of an actual PV power conversion system that has the capability of actively contributing to frequency regulation in a network and to critically analyze the suitability of having a power plant controller when the PV facility contributes to power-frequency control by means of an inertial response. The results reveal, at the power conversion PV system level, that the inertia emulation module significantly reduces the response times of the installation to changes in frequency -by more than 68% in the worst case under frequency increases, and by 73% under frequency decreases, thus contributing to more rapid power-frequency regulation in the network. However, at the power plant level, the power plant controller disturbs the PV power conversion system's behavior and causes the opposite effect: response times increase -up to more than 7% in the most unfavorable case when the inertia module is enabled. [ABSTRACT FROM AUTHOR]

Decreasing greenhouse gas emissions plays a crucial role in the Europe energy transition and the production of hydrogen using electricity from renewable sources (green H 2) contributes significantly to this objective. As the renewable energy production capacity grows, the impact of green H 2 is likely to increase. In the case of the Iberian Electricity Market (MIBEL), no quantitative studies have so far tested the viability of the H 2 growth plans. This paper fills this gap through a novel mathematical programming model, which integrates H2 generation into the MIBEL. The model reveals a mismatch between the sustainability goals and the expansion plans of renewable and green H 2 for Spain and Portugal. [Display omitted] • Mathematical Programming to analyse green hydrogen production in the MIBEL. • Influence of the electricity market on hydrogen production and prices. • Generating green hydrogen is preferable to hydro pumping. • Green hydrogen integration might entail additional emissions. • MIBEL hydrogen strategy must be revised to achieve sustainability. [ABSTRACT FROM AUTHOR]

This paper investigates Spanish drivers' perceptions of the main barriers existing in Spain to the purchase of zero-emission vehicles (ZEVs). Following a comprehensive literature review in this field, this paper quantifies, by means of a survey conducted in Spain of 1474 Spanish drivers, the drivers' desired levels for each barrier to consider ZEVs in their next purchase decision to replace their current usually-used car. The analysis of these reported levels with latent class cluster models revealed the existence, in the sample, of groups of consumers with homogeneous preferences regarding the barriers. These groups differ in terms of individuals' characteristics, the car to be replaced, and journeys made with it. The most flexible groups comprise individuals with a significant knowledge of ZEVs, which underscores the importance of educational policies for the promotion of the use of ZEVs. The desired levels of the barriers for each group are confronted with the current status of the barriers for certain ZEVs. This comparison reveals that Fuel Cell Electric Vehicles (FCEVs) would have great potential if they received government support, because their only barriers are economic (purchase price and fuel availability). This paper also quantifies the effects that purchase incentives and infrastructure investment policies could have in terms of higher FCEV penetration rates. [ABSTRACT FROM AUTHOR]

Shared electric kick scooters (SEKS) have become widespread in many cities worldwide with great expectations from both users and municipalities. Most cities have not yet passed specific legislation to regulate this new phenomenon, thereby increasing uncertainties across different players such as users, operators, etc. This research provides guidelines for regulating SEKS in urban areas for their successful implementation, taking advantage of a collaborative approach with expert stakeholders that look at the regulation problem from different perspectives. The study focuses on the case of Spain where SEKS have been booming over the last few years. The methodology applied follows a three-step process consisting of the identification of crucial issues and key expert stakeholders, a general survey to them, and a final focus group intended to reach consensus. The paper provides regulatory recommendations in four main areas: market access, technical requirements, traffic and safety, and supervision. It finds large agreement on key aspects such as promoting a homogeneous regulation across the municipalities within the same metropolitan area; establishing fixed bases for parking in the city centre while allowing free floating in low density areas located in the outskirts; and promoting an integration with the public transportation system. • Identification of key regulatory aspects for shared electric kick scooters services. • Collaborative approach with key expert stakeholders: survey and focus group. • Regulatory recommendations for shared electric kick scooters in urban areas. [ABSTRACT FROM AUTHOR]

The alternation between cloudy and clear skies alters the photovoltaic production. This makes it necessary to anticipate these disturbances hours in advance for the correct operation of the electricity distribution plants and networks. In this paper, two short-term forecasting models (3 h) are developed to forecast the photovoltaic production in an integrated plant in the CIESOL building of the University of Almería. The methodology used is based on sky camera images and Artificial Intelligence techniques. Two models have been developed and compared applying artificial neural network (ANN) and support vector machine (SVM) techniques. The global irradiance predicted using sky camera images is used as an input variable in both models. In addition, the operational status of the plants has been included as an input parameter through the performance ratio. The results have shown that the errors made by ANN and SVM are very similar. For all sky conditions, the uncertainty of the production forecast differs by less than 2% from the uncertainty of the solar resource, which is the main source of error in the production models developed. [ABSTRACT FROM AUTHOR]

Solar cells lose efficiency as the operating temperature increases under normal operating conditions, resulting in a very significant power output reduction. This issue is most relevant in areas with the highest photovoltaic energy harvesting potential, where irradiance and ambient temperature are particularly high. A novel cooling system for commercial photovoltaic modules based on low-enthalpy geothermal cooling is proposed in this paper. Excess heat is evacuated from the solar module in a clean and efficient manner by a single-phase and close-loop cooling circuit that uses the underground as a natural heatsink. In addition, a thermoelectrical theoretical model is presented, that allows the optimization of the flowrate and the maximization of the extra power generation of the cooled module. A prototype was manufactured and tested in outdoor conditions in September 2021 in Spain. Test results are in good agreement with the theoretical model, which has been used for prediction of the performance of the system for a typical meteorological year in the region. A peak efficiency improvement of 10.7% is calculated for the month of July, with an optimal flowrate of 1.8 l/min per square meter of solar module. A yearly weighted average power gain of up to 4.9% is also calculated. [ABSTRACT FROM AUTHOR]

Tourism has become a very active ecosystem to deploy solutions based on Information and Communication Technologies. Indeed, it is now possible to analyse the mobility behaviour of tourists in great detail. However, current solutions aimed at anticipating tourist flows usually follow a limited approach based on the local (e.g., to predict the next landmark to visit) or regional (e.g., to predict the incoming number of tourists in a city) level. This paper states a novel approach to solve the problem of tourist inflow forecasting on a broader nationwide scale by defining it as an edge prediction task. To do so, we model the tourist mobility of a country as a graph which fuses heterogeneous tourism data obtained from multiple sources related to the country's mobility and infrastructure features. Then, as a major contribution, an ensemble of Graph Neural Networks are fed with the graph models to provide the final prediction. The proposed solution has been tested in Spain showing a F1 score higher than 0.7. • A mechanism to anticipate the flows of tourists in Spain is proposed. • The prediction is solved as an edge prediction between Spanish regions. • A Graph Neural Network has been used as underlying model. • The model is fed with touristic infrastructure data of Spain. • The human mobility is extracted from Call Detail Records and geo-tagged Twitter posts. [ABSTRACT FROM AUTHOR]

This paper analyzes impoliteness-related language in response to a season's greeting posted by the Prime Ministers of Spain and the UK on December 2022 to wish Twitter users a Felices Fiestas/Merry Christmas. A corpus made up of the first 500 tweet events mentioning Sánchez and Johnson with the @ feature was analyzed through the combination of qualitative and quantitative tools and an impoliteness2 approach to compare the most commonly deployed impoliteness strategies in response to what is felt as an offense by respondents from the two cultures. Previous impoliteness taxonomies inform the analysis (Culpeper, 1996 , 2011). Findings reveal a preference for on-record strategies vs. off-record ones in both corpora. Whereas the English respondents oriented themselves towards attacking the negative face of the Prime Minister and that of other participants with sarcasm and implicated impoliteness, the Spanish group deployed impoliteness-related language to disparage the Prime Minister's positive face through insults and the rectification of his words. The hostile acts and explicit metalanguage about emotional states in the replies to the expressive speech act corroborate the perceived breach of some aspects of the moral order on the part of the Twitter users in the out-group, hence aiding the already observed polarization of political discussions. • Impoliteness is analyzed in replies to the season's greetings of Pedro Sánchez and Boris Johnson on Twitter. • Findings indicate that on-record impoliteness strategies are more frequent than off-record ones in both groups. • English respondents use negative-face attacking strategies, sarcasm, and implicated impoliteness in their replies. • Spanish respondents deploy insults and attacks on the positive public face of the Prime Minister as favored strategies. • Impoliteness-related discourse is multifunctional and aims to restore the moral order that is perceived as altered. [ABSTRACT FROM AUTHOR]

This paper presents a new approach based on the combination of machine learning techniques, in particular, sentiment analysis using lexicons, and multivariate statistical methods to assess the evolution of social mood through the COVID-19 vaccination process in Spain. Analysing 41,669 Spanish tweets posted between 27 February 2020 and 31 December 2021, different sentiments were assessed using a list of Spanish words and their associations with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy and disgust) and three valences (neutral, negative and positive). How the different subjective emotions were distributed across the tweets was determined using several descriptive statistics; a trajectory plot representing the emotional valence vs narrative time was also included. The results achieved are highly illustrative of the social mood of citizens, registering the different emerging opinion clusters, gauging public states of mind via the collective valence, and detecting the prevalence of different emotions in the successive phases of the vaccination process. The present combination in formal models of objective and subjective information would therefore provide a more accurate vision of social reality, in this case regarding the COVID-19 vaccination process in Spain, which will enable a more effective resolution of problems. [ABSTRACT FROM AUTHOR]

Analizar el papel de enfermería en el abordaje de la espondiloartritis axial (EspAax) y plantear propuestas que permitan incluir el rol de las consultas de enfermería en reumatología (CER) en la certificación de calidad de las unidades especializadas. Revisión sistemática del rol de enfermería en los sistemas de certificación de calidad en el abordaje de la EspAax, seguida de conferencia de consenso con participación de 3 enfermeras especializadas en reumatología para determinar elementos que considerar en futuras revisiones de las normas de certificación. La revisión sistemática arrojó 5 documentos relevantes. Ninguna de las publicaciones revisadas proponía estándares aplicables a la labor asistencial de enfermería en el manejo de pacientes con EspAax, aunque contemplaban actividades propias de este colectivo. Las propuestas consensuadas para incorporar el rol de las CER en las normas de certificación de las unidades monográficas de EspAax incluyeron: equipamientos y recursos básicos, organización, administración de tratamientos farmacológicos y promoción de la adherencia, programas estandarizados para EspAax, consulta telemática para control del paciente estable y promoción de la continuidad asistencial y registro de medidas de resultados informados por los pacientes. La literatura sobre estándares de calidad y normas de certificación de las unidades monográficas de EspAax es escasa y apenas refleja el papel de las CER en la provisión de una atención de calidad. Las propuestas consensuadas en este trabajo incorporarían las CER en las normas de certificación de calidad. En el futuro, la mayor presencia de CER en España debiera ir acompañada de la actualización de los estándares. To analyse the role of nursing in the approach to axial spondyloarthritis (axSpA) and to make proposals to include the role of rheumatology nursing consultations (RECs) in the quality certification of these specialized units. A systematic review of the nursing role in quality certification systems in the management of axSpA was conducted. Subsequently a consensus conference was held with the participation of 3 rheumatology nurses to determine elements that should be considered in future revisions of certification standards. The systematic review yielded 5 papers as relevant. None of the publications reviewed explicitly proposed standards applicable to nursing care in the management of patients with axSpA, although they contemplated the activities of this professional group. The proposals agreed upon to incorporate the role of RECs in the certification standards for axSpA monographic units included the following: basic equipment and resources, organization, administration of pharmacological treatments and promotion of adherence, standardized programmes for axSpA, telematic consultation (e-consultation) for monitoring the stable patient and promoting continuity of care and registry of patient-reported outcome measures. The literature on quality standards and certification standards for axSpA monographic units is scarce and hardly reflects the role of RECs in providing quality care. The consensus proposals in this study would incorporate RECs into quality certification standards. In the future, the increased presence of RECs in Spain should be accompanied by a review of the indicators regarding their role. [ABSTRACT FROM AUTHOR]

Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic and concentrating solar thermal power plants. Accurate solar nowcasting becomes necessary to detect these sudden changes of generated power and to provide the desired information for optimal exploitation of solar systems. In the framework of the International Energy Agency's Photovoltaic Power Systems Program Task 16, a benchmarking exercise has been conducted relying on a bouquet of solar nowcasting methodologies by all-sky imagers (ASI). In this paper, four ASI systems nowcast the Global Horizontal Irradiance (GHI) with a time forecast ranging from 1 to 20 min during 28 days with variable cloud conditions spanning from September to November 2019 in southern Spain. All ASIs demonstrated their ability to accurately nowcast GHI, with RMSE ranging from 6.9% to 18.1%. Under cloudy conditions, all ASIs' nowcasts outperform the persistence models. Under clear skies, three ASIs are better than persistence. Discrepancies in the observed nowcasting performance become larger at increasing forecast horizons. The findings of this study highlight the feasibility of ASIs to reliably nowcast GHI at different sky conditions, time intervals and horizons. Such nowcasts can be used either to estimate solar power at distant times or detect sudden GHI fluctuations. • ASI-based GHI nowcasts outperform persistence model under cloudy conditions. • Under clear skies, three ASIs reveal more accurate nowcasts than persistence. • ASIs forecasts are more accurate from persistence at increasing forecast horizons. [ABSTRACT FROM AUTHOR]

• This paper contributes to the literature that looks at decentralisation as an institutional solution to curb instability and secessionist pressures.· The ability of decentralisation to deter secessionism depends on the institutional form it can take. • A bottom-up reform may be more successful in avoiding a secessionist conflict than a more standard top-down decentralisation. • The theoretical framework of this paper can shed light on the decentralisation reforms recently adopted by different countries. This paper looks at decentralisation as an institutional solution for curbing secessionist pressures by making potentially seceding regions strictly better off by staying in the union. We show that a bottom-up decentralisation reform, where single regions that can opt to assume or not stronger fiscal responsibilities on the basis of bilateral negotiations with the central government, may be more successful in avoiding instability and a secessionist conflict than more standard top-down decentralisation, where the central government assigns identical fiscal powers to all regions. The example of the decentralisation process in Spain over the last 40 years illustrates the relevance of the institutional pattern we analyse in the paper. [ABSTRACT FROM AUTHOR]

Sponsoring culture is a long-term profit-generating investment that public policy makers can achieve by means of Pigouvian subsidy or tax schemes. This paper evaluates the effectiveness of the three VAT reforms implemented between 2012 and 2018 (one tax raise reform and two tax cut reforms) in the cultural sector in Spain. We first provide visual evidence and empirical estimates of the tax shifting and the distribution of the VAT burden between consumers and producers. We then use a regression discontinuity design to assess the causal effects of these VAT reforms on performing acts and cinema consumption (both in the extensive and the intensive margin). Several interesting findings arise from our results. First, we find that producers only passed through 45% of the VAT cut to consumer prices. Second, the effect of the 2017 VAT reduction on performing arts slightly increased the number of households consuming these cultural services, whereas the 2018 tax cut on cinema had no significant effect in the number of moviegoers (extensive margin). Third, the cultural spending per household conditional on participation (intensive margin) increased after the two VAT rate reductions. Finally, we test for asymmetries in pass-through with respect to the 2012 tax raise and we find (i) no evidence of prices responding more strongly to increases than to decreases in VAT, (ii) a symmetric response of the number of households consuming these cultural services, and (iii) an asymmetric response of the average cultural spending conditional on participation. [ABSTRACT FROM AUTHOR]

• We test for Granger causality in mean and quantiles between wage share and capacity utilization in developed countries. • We employ confidence intervals generated by bootstrap and the Wald test for joint significance. • Capacity utilization positively Granger causes the wage share in eight countries at the center, lower and upper tails. • The positive Granger causal effect of capacity utilization is strong, heterogeneous, and larger for extreme quantiles. • The wage share negatively Granger causes capacity utilization in all quantiles in Spain and above the median in Italy. This paper tests for Granger causality in quantiles between the wage share and capacity utilization in twelve developed countries using annual data ranging from 1960 to 2019. Instead of focusing only on the conditional mean, we test for Granger causality in the entire conditional distribution of the variables of interest. This method detects Granger causal dynamic relations in both the mean and the whole conditional distribution using bootstrap confidence intervals and the Wald test. Our results indicate that capacity utilization positively affects the wage share in eight out of the twelve sample countries. This Granger causal effect is strong and heterogeneous across quantiles, being larger for more extreme quantiles. Capacity utilization positively Granger causes the wage share in all conditional quantiles in the U.S., Sweden, and Italy. Meanwhile, the wage share negatively Granger causes capacity utilization in all conditional quantiles in Spain and in some quantiles above the median in Italy. [ABSTRACT FROM AUTHOR]

Effectively utilizing low-grade thermal energy is a promising approach to mitigating greenhouse gas emissions while reducing the burden on centralized power grids. Current thermoacoustic heat pumps and power generators face challenges such as high onset temperature differentials and low performance. This paper addresses these challenges by introducing a gas-liquid resonator into a thermoacoustic combined heat and power systems to recover low-grade thermal energy in residential buildings. Through Sage modeling and calculations, the internal characteristics of the proposed system and its output performance under different operating conditions are explored. At a heating temperature of 350 °C, the system can generate 6.4 kW of output thermal power, 0.9 kW of electricity, and overall exergy efficiency is 79.3 %. Combining neural network models with case studies conducted in Spain and Finland, the system can annually save 5.6 MWh and 20.7 MWh in fuel energy, reduce emissions of 1374 kg and 5180 kg of carbon dioxide, and save a total cost of €611 and €2324, respectively. Furthermore, comparisons with other emerging micro-CHP systems highlight the efficiency of the proposed system. These results indicate the high potential of thermoacoustic combined heat and power systems in recovering low-grade thermal energy and achieving energy savings and emission reductions. • Introducing an innovative thermoacoustic micro-CHP system. • Achieving an exergy efficiency of 79.3 % under standard operating conditions. • One system can annually reduce household CO 2 emissions by 5180 kg. • Ideal for households, balancing lower output levels for both heat and electricity. [ABSTRACT FROM AUTHOR]

With increasing volatility in natural gas markets and the need for residential heat, research for alternative thermal systems based on green hydrogen-based fuels is necessary. Massive implementation of hydrogen in the current fleet presents a challenge for the decarbonisation of conventional thermal processes. This paper presents the integration of green methanol from a seasonal thermochemical energy storage system (TCES) coupled with district heating networks (DHN). It allows for a solar-based storage and low-temperature heat generation from the exothermic discharge reaction. The system uses concentrated solar thermal energy to decompose methanol into syngas at moderate temperatures (<315 °C), reducing GHG emissions from combustion to meet residential heat. Its potential is assessed through an analysis of 458 rural municipalities in Spain, achieving a substitution of 3.1 % of the natural gas demand. The system allows the production of green fuels from syngas using an open-loop approach, offering new market pathways in primary sector. In a closed-loop configuration, roundtrip efficiencies exceeding 60 % and chemical conversion efficiencies exceeding 70 % are reached, resulting in a global efficiency of 12 % for the DHN and methanol-TCES. The results show a levelized cost of stored energy highly competitive with other storage systems (<200€/MWh), given its simplicity. • A novel district heating network integration with methanol TCES is proposed. • Round-trip above 65 % and an overall efficiency of 11.6 % were achieved. • Analysis of presented DH-TCES in 499 rural municipalities in Spain. • Competitive levelized storage price values of €150/MWh was obtained. [ABSTRACT FROM AUTHOR]

This paper aims to carry out an integrated Life Cycle Assessment to evaluate the environmental performance of retrofitting an existing first-generation ethanol plant for sustainable aviation fuel production. Two scenarios are defined, considering: (i) the incorporation of an alcohol-to-jet conversion pathway into a current bioethanol plant in Spain to produce synthetic paraffinic kerosene with aromatics biofuel, and (ii) the operation of two different plants, namely, an existing bioethanol production facility and a new-build ATJ plant. Results indicate that the global warming impact associated with the retrofitting of the bioethanol facility is 44.15 gCO 2eq per MJ of final fuels produced. The main GHG impact is associated with the operation of both the cogeneration system (∼42 %) and the natural gas boilers (∼25 %) to cover the heat and power requirements of the bioethanol facility. Findings concerning the climate change impact of the new-build ATJ plant exhibit analogous behavior; the GHG impact is estimated at 44.53 gCO 2eq /MJ fuels. Future electricity supply mixes with high shares of renewables could lead to substantially lower GHG emissions (up to 61 %) in aviation fuel production, as compared to conventional jet fuels. The replacement of natural gas with sustainable alternatives could further decrease the global warming impact up to 97 %. [ABSTRACT FROM AUTHOR]

This paper presents the results of an extensive experimental campaign related to the use of Coal Mining Waste Geomaterials (CMWGs) as recycled constituents (fine and coarse aggregates) in Ordinary Portland Cement mortars and concretes. To this purpose, a reference mix and other mixes with different percentages of replacement of natural aggregates by CMWGs, up to 40% by volume, were investigated. CMWGs came from different providers: Central Mining Institute (GIG), POLTEGOR, both in Poland, and SUBTERRA in Spain and tests were performed at two different laboratories working on similar, but not identical, compositions. This represents a novelty in the literature, generally focusing on one single-source waste and single-lab results. The physical and mechanical properties of all the mixes were evaluated and correlated with respect to the percentage of replacement of natural aggregates by CMWGs. While the presence of CMWGs, likely because of their grain size distribution, reduced the porosity of mortars (decrease of 9.5 and 20.4% for 10 and 20% of replacement respectively) and concretes (70% reduction for concretes with 10% of fines and 30% of coarse aggregates replaced by CMWGs), the mechanical properties decreased when natural aggregates were replaced with CMWGs, likely because of the reduced strength of the CMWGs aggregates. This decrease was found to be roughly proportional to the percentage of replacement of aggregates (for instance, a 12–23% reduction of flexural strength in mortars with 25% replacement of sand and, a decrease of 25% in concretes for a 25% replacement of fine and coarse aggregates); nonetheless the concrete performance remained in the range of applicability for several civil engineering applications without affecting their functionality. In conclusion, the replacement of natural aggregates by CMWGs has resulted an interesting option for real applications providing an added value to the implementation of circular economy concepts in the management and up-cycling of coal mine tailings and CMWGs. • Recycling Coal Mine Waste Geomaterials as partial replacement of fine and coarse aggregates in concrete is feasible.. • Complementarity and coherence of results from two different labs with aggregates from three sources validate the methodology. • Thin section analysis provides insight into microstructural reasons of macroscopic properties highlighting the interaction of CMWGs with cement paste. • Reduction in compressive strength induced by weaker CMWG aggregates does not jeopardize the possibility of producing concrete still retaining values of compressive strength fit for several structural applications. [ABSTRACT FROM AUTHOR]

Solar PV technologies have been expanding rapidly, and the installed power has increased, especially in the last decade. Their inclusion in university buildings arises as a key factor for sustainable transition in cities, since they have an important potential as case studies for urban experimentation positive effects on students and other stakeholders. This paper proposes a method to determine the availability for installing solar PV in universities' rooftops, considering simulation and cartography data, together with a final experimental validation stage. Unavailable areas for each rooftop are determined, including obstacles, the inner use of the rooftop and shadowed areas. Finally, the method verifies the technical suitability for all the proposed scenarios and applies an economic-environmental multicriteria evaluation to select the most suitable one. The methodology is validated in the Universitat Politècnica de València Vera-Campus. In total, 88913 m2 of the rooftops are suitable for solar PV incorporation, representing 48 % of the total surface. 52 % of the solar PV installable capacity takes place in surfaces which can incorporate more than 100 kW, 20.6 % between 50 and 100 kW and 27.4 % less than 50 kW. Finally, the multicriteria evaluation proved that the scenario with all the possible installations is the most suitable one. [ABSTRACT FROM AUTHOR]

Heating up of photovoltaic modules during operation results in a significant power output reduction. This effect is especially relevant in regions with the highest photovoltaic potential, where irradiance and ambient temperature are particularly high. In this paper, a novel low enthalpy geothermal cooling system that improves the efficiency of a commercial solar module is described and experimentally validated. Two heat exchangers, one attached to the backside of the module, and another introduced inside a 15 m deep borehole, are connected in a closed circuit. A water-based coolant is pumped through the system, evacuating the excess heat from the module, and dissipating it underground in a clean and efficient manner, without additional water consumption after filling the system. The performance of the cooling system was experimentally tested by implementing it, for the first time, in a single-axis solar tracking isolated photovoltaic facility. Extensive tests were carried out in Spain, between September 2021 and August 2022 under a wide variety of environmental conditions. The efficiency improvement system has demonstrated its technical feasibility over a one-year period, showing a peak net efficiency improvement up to 13.4 %. Moreover, a positive net efficiency improvement has been demonstrated all year long, even during the winter months. [ABSTRACT FROM AUTHOR]

Wind power is one of the most important renewable energy sources worldwide. However, integrating these technologies in electricity markets faces challenges due to the intermittent wind speed, resulting in potential imbalances within power grids and subsequent inefficiencies. Traditional approaches for modeling the uncertainty simulate fixed wind power values in operational and planning models, which work well for the short term but are inadequate for medium-term decision-making due to lower forecasting accuracy and the inability to differentiate the imbalance risk faced in each simulated value. This paper proposes a novel methodology for incorporating wind energy imbalance risk into medium-term generation planning models. For this, we first simulate realistic wind power scenarios and perform a fitting distribution process to characterize the hourly wind power behavior. Then, we model the imbalance risk using quadratic-uncertainty cost functions for each simulated value. Subsequently, we conduct a temporal aggregation to reduce the computational burden, preserving the conceptual framework of the imbalance risk modeling. Finally, we propose a medium-term generation planning model that includes the imbalance risk model and the temporal aggregation strategy. Our approach is evaluated in a real-size case study formed by Spain, Portugal, and France's electricity markets, demonstrating accurate wind power imbalance risk modeling and lowered planning costs. • A new methodology to include wind energy imbalance risk in generation planning models. • Introducing a fitting process for modeling the distribution asymmetries of wind power. • Proposing a temporal aggregation method for efficient imbalance risk modeling. • The methodology is validated in Spanish, Portuguese, and French electricity markets. [ABSTRACT FROM AUTHOR]

This paper compares the performance of conventional and organic fruit farms in Spain, using a set of base indicators to assess their economic and environmental performance on a per hectare basis. Composite indicators are also calculated to measure the overall economic and environmental performance of both production systems. Comparisons are made using propensity score matching to minimize the non-randomization biases caused by structural differences between the samples of conventional (n = 552) and organic (n = 127) fruit farms sourced from the Spanish Farm Accountancy Data Network (RECAN). The results based on per hectare metrics point to modest changes in the performance of farms that converted to organic farming. This is mainly because most converted farms were former conventional farms characterized by lower profitability and less intensive input use, consequently minimizing the effects of the conversion process. Nevertheless, the conversion outcomes exhibit a degree of variability depending on the specific type of fruit production. Economic gains are only discernible in the case of nut farms, whereas fruit and tropical fruit farms tend to yield the most favorable results per hectare from an environmental perspective. • Changes in per hectare performance are assessed when fruit farms convert to organic. • A complete set of economic and environmental base and composite indicators is used. • A matching procedure is implemented to obtain unbiased difference estimators. • Small changes are found in the per hectare performance of farms after conversion. • Mixed results depending on the type of fruit production subsector considered. [ABSTRACT FROM AUTHOR]

• Performance assessments quantify either abatement (AC) or transaction costs (TC). • We develop tools to quantify both AC and TC. • Socio-hydrology modeling of interconnected human and water systems is used to measure AC. • We develop a cutting-edge longitudinal dataset to assess future directions and magnitude of TC. • Results in the Douro Basin (Spain) show TC can represent 5.7 % − 8.3 % of total costs (AC + TC). • This highlights the need to account for AC and TC in performance assessments. Water reallocations have costs to the users of water, or abatement costs (e.g., charges designed to marginally increase environmental water flows), but also nontrivial institutional transaction costs (e.g., costs incurred to develop institutions and organizations to support and enforce environmental reallocations). However, institutional transaction costs studies are very limited and those available do not integrate abatement costs measurements, which constrains our ability to assess the performance of water reallocation. This paper presents the first integrated analysis of abatement and transaction costs of water reallocation. The analysis is illustrated with an application to the Douro River Basin, an agricultural basin in central Spain that has recently finished its second planning cycle (2015–2021). First, we use a hydroeconomic model that accounts for the two-way feedback responses between human and water systems to estimate the abatement costs of water reallocations, as well as their effectiveness in achieving the good ecological status of water bodies. Second, we measure and monetize realized institutional transaction costs of river basin planning over time and build on this cutting-edge longitudinal dataset to assess future directions and magnitude of transaction costs. We use this information to assess and rank the performance (through cost-effectiveness) of the water reallocations considered in the latest Douro River Basin Plan under alternative climate change scenarios. We find that under the hypothesis of stationary transaction costs, these can represent between 5.7% and 8.3% of the total reallocation costs (abatement plus transaction costs). This non-trivial magnitude highlights the need to account for both abatement and transaction costs when assessing the performance of water reallocations, and environmental policy overall. [ABSTRACT FROM AUTHOR]

The increased penetration of renewable energy sources (RESs) as an effective mechanism to reduce carbon emissions leads to an increased weather dependency for power and energy systems. This has created dynamic operation and degradation phenomena, which affect the lifetime estimation of the assets operated with RESs. For the reliable and efficient operation of RES it is crucial to monitor the health of its constituent components and feature selection is a crucial step for building robust and accurate health monitoring approaches. In this context, this paper presents a probabilistic feature selection approach, which probabilistically weights and selects features through a heuristic and iterative process for an improved asset lifetime estimation. Power transformers are key power grid assets and they are used to demonstrate the validity and impact of the proposed approach. The approach is tested on two different photovoltaic power plants operated in Spain and Australia. Results consistently show that the proposed feature-selection approach reduces the prediction error and consistently selects relevant features. The approach has been applied to transformer lifetime estimation, but it can be generally applied to assist in the lifetime estimation of other components operated in RESs. Part of the studies presented here as well as source codes are all open-source under the GitHub repository https://github.com/iramirezg/FeatureSelection. • Probabilistic feature selection approach for improved asset lifetime estimation. • Integration of environmental features for improved renewable-operated asset lifetime. • Systematic and robust feature weighting methodology. • Improved transformer lifetime estimation including sensor and environmental data. • Validated on two real photovoltaic power plant case studies. [ABSTRACT FROM AUTHOR]

This paper presents the results of the explorations carried out in the western sector of the Iberian Central System (western Gredos, Béjar, Gata and Estrela mountain ranges). The macroremains found allow detailing the model of the landscape transformation, the composition and extension of their vegetal formations throughout the Holocene. Ninety-nine woody macroremains, 3 bark remains and 8 pinecones were located from eight sites between 875 and 1860 m above sea level, among which 15 radiocarbon dates were made. The taxonomic identification of two trunks found in Estrela allows us to document the local presence of Pinus cf. sylvestris ca. 6600 cal BP in this site. The same taxon also appears at the western end of Gredos between ca. 1700–2800 cal BP at approximately 1300 m. These remains expand the Holocene distribution of P. cf. sylvestris in the Central System known to date, both temporally and geographically. In parallel, the macroremains analysed document the composition of high mountain scrub (Cytisus type, Erica cf. arborea) in Béjar (ca. 1860 m), as well as mixed scrub-woodland formations in Gata (975–1180 m), which included deciduous Quercus , Betulaceae and Ericaceae. The presence of P. pinaster at ca. 6200 cal BP and 1180 m in this mountain range constitutes the earliest palaeobotanical evidence of this species recorded in Gata. The main results support the continuous persistence of plant formations in which P. sylvestris , P. nigra , and P. pinaster would have formed part throughout the Iberian Central System during the Holocene in a wide altitudinal range (1100–1840 m). • Above one hundred Holocene macrofossils from eight different sites were analysed. • Pinus sylvestris recently disappeared from the western Central System. • P. gr. sylvestris remained in Serra da Estrela until ˜6650 years ago. • First evidence of Pinus pinaster has been found in Gata ˜6200 years ago. • Betula , Quercus , Alnus and Ericaceae Holocene macroremains were found in Gata. [ABSTRACT FROM AUTHOR]

Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. • We calculate HCF for individual Spanish households using HBS data and EEMRIO. • We introduce the gender effect through the new indicator "female share in households." • Households with a majority of men have a higher HCF and carbon intensity. • The higher the proportion of women in a household, the higher the HCF in housing and food. • The higher the proportion of women in a household, the lower the carbon footprint in restaurants and transportation. [ABSTRACT FROM AUTHOR]

Socio-educational vulnerability refers to the circumstances in which students face difficulties or challenges arising from socio-economic or contextual factors, such as a lack of resources or adverse family environments. Ability grouping during secondary school is widely used to improve student performance. The methodology tailored to students performance levels aims at providing improvements in their scores. This paper explores the complex relationship between ability grouping and socio-educational vulnerability. More specifically, it investigates how different student groups are affected by attending schools that implement ability grouping as compared to those that do not. The study is conducted in Spain, using the Programme for International Student Assessment (PISA) database and Propensity Score Matching methodology. The findings suggest that the ability grouping policy hinder equal opportunities for academically disadvantaged students, resulting in decreasing their abilities. • Improving the quality of education systems is achieved through policies focused on efficiency and equity. • Ability grouping reduces average performance and, therefore, the efficiency of the system. • Ability grouping reduces equity in the education system,being students from the most vulnerable socio-educational backgrounds the most harmed. • Measures to improve the education system should focus on reducing material inequalities and supporting families. • The peer effect can be an educational measure that improves performance, especially by boosting low-performing students. [ABSTRACT FROM AUTHOR]

Per-poly fluoroalkyl substances (PFASs) are a group of synthetic fluorine compounds used in food packaging materials to repel water and fats. This study assessed the chemical migration of PFAS from different food contact materials, including cardboard, recycled cardboard, biopolymer, paper and Teflon trays, from various markets. Migration assays were conducted using Tenax® as a food simulant, which was optimized by subjecting it to three consecutive extractions with 3 mL of ethanol within an hour. The resulting extractions were combined and concentrated to 0.5 mL using a nitrogen stream. The analysis was performed using ultrahigh performance liquid chromatography (UPLC) coupled with ion-mobility (IMS) quadrupole-time-of-flight (QTOF) mass spectrometry, which provided a powerful and novel tool for identifying a library of targets containing collision cross section values (CCS) and increasing confidence in subsequent identifications. Eleven PFAS compounds belonging to the family of perfluorocarboxylic acid, perfluorosulfonic acid and perfluorooctanesulfonamidoacetic acid substances (PFCAs, PFSAs and FOSAAs) were found in packaging samples obtained from China, with migrant concentrations ranging 3.2 and 22.3 μg/kg. In contrast, no detectable levels of PFAS were observed in packaging samples obtained in Spain. All trays tested were deemed to be suitable for use as food contact materials due to the fact that their migrant values were lower than 0.025 mg/kg for PFOA and its salts, and lower than a maximum concentration of 1 mg/kg for PFOA-related compounds. [Display omitted] • A novel Ion-mobility QTOF mass spectrometry technique applied to migration of per and poly fluoroalkyl substances (PFAS). • Enabling a library of (PFAS) with their CCS values and characteristics fragments. • Migration study of thirteen food contact materials such as cardboard, recycled cardboard, biopolymer, paper and Teflon trays. • Eleven PFAS compounds were found in packaging samples obtained from China. • Migration values concentrations between 3.2 and 22.3 μg/kg. [ABSTRACT FROM AUTHOR]

In the field of civil engineering, specifically within railway projects, the adoption of Building Information Modeling (BIM) has become imperative. However, the sector's adherence to traditional methods for infrastructure design and management has delayed the widespread adoption of BIM. This paper describes a BIM-centered methodology applied to a real-world High-Speed Railway Line (HSRL) project. Through an extensive examination of HSRL design parameters and the integration of various BIM-based tools, a 3D parametric design model is generated. This model serves as the foundation for evaluating up to five design alternatives, considering technical and economic aspects. Furthermore, a degradation model is proposed to assess alternative performance over the infrastructure's full lifecycle under specific rail traffic assumptions. This facilitates a rapid evaluation of alignment design's impact on maintenance costs. The paper draws two main conclusions with potential benefits for both private companies and railway administrations: Firstly, BIM proves feasible and advantageous despite some interoperability challenges, highlighting the need for continued advancements in BIM software compatibility. Secondly, the proposed approach can potentially lead to up to 40% cost savings in maintenance for railway administrations. [Display omitted] • The influence of the horizontal alignment design of a High-Speed Railway Line (HSRL) on its maintenance period is analyzed. • A BIM-centered method has been proposed to evaluate both construction and tamping costs. • The importance of considering the maintenance costs during the design phase has been demonstrated. • The interoperation between an alignment design tool and a budget management software has been tested. • The method is applied to a real HSRL project in Spain. [ABSTRACT FROM AUTHOR]

The present article reviews the Spanish history of the art therapy profession and research. In addition, a contemporary view of current art therapy research is described through a bibliometric analysis of 160 art therapy articles published in the Spanish Journal of Art Therapy. Papers on Art Therapy and art Education for Social Inclusion from 2011 to 2021. The following research indicators were analyzed: authorship, participants, population, artistic discipline, theoretical models of art therapy intervention, nature of the studies, and assessments. Outcomes revealed that Spanish art therapy researchers are mostly women who usually publish on their own. Additionally, many ages, populations and topics are treated. Visual art is the discipline most used in the analyzed research. Gestalt, community-based art programs, and the eclectic approach are the most selected theoretical models. Most of the studies are qualitative and theory building with no assessment. However, when assessment is included, the type most used is the tools made by the researcher. Implications, limitations, and further lines of research are discussed. • Art therapy research in Spain is a young discipline conducted in the last ten years. • The profile of Spanish researchers on art-therapy corresponds to dedicated females. • The use of art therapy in Spain has extended to vulnerable and minority groups. • There is a shift from psychoanalysis to other theoretical models for intervention. • Most of the studies published in Spain are qualitative or theory building. [ABSTRACT FROM AUTHOR]

The lockdown of March and April 2020 declared by Spanish authorities in the Valencian Region to bending the Covid-19 curve, caused a drastic reduction of the economic activity and a severe limitation of mobility. People were asked to stay at home as much as possible. Education and administrative centers, as well as restaurants, theaters, sport arenas, etc., were closed. Work at conventional workplaces was prohibited for people who could tele-work, and students were compelled to attend classes on-line. Such limitation of mobility and spending so many time at home, could affect the wellbeing of people. The objective of the present paper is to present a study on the differences on wellbeing according to the mobility of respondents during the lockdown. Information from 1,827 individuals regarding the satisfaction of the basic psychological needs (Autonomy, Competence and Relatedness) and Positive and Negative affect were collected through and web-survey during the first lockdown of the Covid-19 pandemic, together with mobility data and sociodemographic characteristics. Mann-Whitney U tests, Confirmatory Factor Analyses and Structural Equation models are used to find out differences in the wellbeing of people according to their mobility characteristics during the first lockdown, and how these mobility characteristics are associated to the psychological variables studied. Mobility of people during the first lockdown reduced drastically, especially the youngest ones, and the main travel mode was walking. In general, the youngest participants in this research and females present lower values of the psychological wellbeing variables during the lockdown. A very low or very high degree of mobility is also associated to discomfort, although the more time spent traveling the better people feel. Those who walked more are related to lower values of wellbeing. Some lessons are learned to improve transport and mobility planning during a pandemic. [ABSTRACT FROM AUTHOR]

This paper proposes the first application of a split-range control technique on a concentrating solar collector to improve an absorption plant production. Solar absorption plants have solar power availability in phase with cooling demand under design conditions. Thus, it is a powerful cooling technology in the context of renewable energy and energy efficiency. These plants need control systems to cope with solar irradiance intermittency, reject irradiation disturbances, manage fossil fuels backup systems and dump closed-loop thermal-hydraulic oscillations. In this work, control techniques are proposed and simulated in an absorption plant in Spain. The plant consists of a concentrating Fresnel solar collector connected to an absorption chiller. The objectives are to operate with 100% renewable solar energy and avoid safety defocus events while reducing temperature oscillations and control actuators effort. Firstly, the current available plant controllers are defined, then two modifications are proposed. The first modification is a split-range controller capable of manipulating both flow and defocus of the Fresnel collector, the second modification is a PI controller to substitute the original chiller on-off controller. The results compare, through validated models, the different control systems and indicate that using both proposed controllers reduces 94% of the sum of actuators effort and 43% of the integral of absolute set-point tracking error compared to the plant's factory pre-set controllers. The suggested controllers increase 66% of energy production and 63% of exergy production. Besides, the split-range technique can be extended to any concentrating solar collector control. [Display omitted] [ABSTRACT FROM AUTHOR]

• Changes in productivity of small and large firms of automotive industry are analyzed. • The 2008-09 crisis impacted on productivity by reducing technological progress. • The consequences of the crisis were more severe for SMEs. • Suitable policies may be based on environmental regulation, incentive schemes and support to R&D investments. This paper analyzes the changes in productivity of small and large firms operating in the automotive industry in France, Italy and Spain, occurred during the pre-crisis (2001-2008) and post-crisis (2009-2014) periods. To this aim, the Malmquist index as a measure of total factor productivity (TFP) variation is computed, by using the non-parametric technique DEA, integrated by a bootstrap technique proposed by Simar and Wilson (1999). The analysis allows distinguishing among different possible sources of TFP changes, i.e. pure technical efficiency change, scale efficiency change and technological change. The latter comes up to be the main channel through which the global crisis negatively impacted on productivity, presumably by hampering the primary engines of technological change, i.e. research, innovation and investment through reduced availability of financial resources for SMEs, worsened perspectives for firm growth and greater concentration in selected geographical areas of investments by parent companies. [ABSTRACT FROM AUTHOR]