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Abstract Three-dimensional (3D) metal halide perovskite solar cells (PSCs) have a power conversion efficiency that is now comparable with conventional silicon solar cells. For PSC applications to succeed in the market, long-term reliability under open-air conditions is essential. Recent experiments have shown that two-dimensional (2D) perovskites seem to exhibit good stability due to the presence of hydrophobic organic spacers, but 2D PSCs are incapable of generating and transporting a large amount of charge due to their extended optical bandgaps. Mixed dimensional perovskites with dimension lies between 2D and 3D recently became a promising candidate to sustain long-term stability and high performances concurrently to address this obstacle. The current research article presents the finding of simulation-based studies performed on novel device architecture consisting of ITO/Nb-Ti2O3/3D Perovskite/2D Perovskite/Spiro-OMeTAD/Au. Using optical simulation features of SCAPS, absorption of light is computed in the proposed device. The computational results show that the thickness of the 2D perovskite layer badly affects the solar cell parameters. A thin 2D perovskite behaves as a capped coating that avoids the deterioration of 3D perovskite in open-air environments. The effect of a multivalent defect in the 3D perovskite layer is mathematically modelled, and their impact on overall performance parameters are analyzed. The findings are compared to the same configuration results, except where the absorber layer’s multivalent defect has been substituted by a neutral defect of the same defect density of about (1011 cm−3). Results show that the multivalent defect leads to an underestimation of the efficiency by 4.2%.

To assess the sustainability of waste management scenario with energy recovery, it is necessary to carry out an adequate analysis of all influential criteria. The main problem in the analysis is to determine the indicators that clearly and fully sublimate the most important influential factors. The model for the assessment of the sustainability of waste treatment scenarios based on multi-criteria analysis AHP (analytic hierarchy process) method is developed. The model predicts an increase in the number of indicators, if it found that a selected number of indicators are not sufficient to distinguish between scenarios and new criterion for the selection of indicators: the relevance of the indicator for certain waste treatment. The model is verified in the case study the city of Nis. Four scenarios were selected and examined: business as usual scenario (landfilling of waste) and the other are created as scenarios with energy recovery and recourses preserving: composting organic waste with recycling inorganic waste, incineration of waste and anaerobic digestion of waste. The assessment of the sustainability of waste treatment scenarios was made in several steps. It is found that the best sustainable scenario is composting of organic and recycling of inorganic waste.

The growing threats of global warming and climate change are two of the main concerns of world society. The culprits are greenhouse gas emissions, which mainly result from the combustion of fossil fuels (i.e. the consumption and production of energy from oil, coal and natural gas), a well-known issue at the centre of many climate change debates. The European Parliament has endorsed the EU target of zero net greenhouse gas emissions by 2050 [1]. It is therefore essential to provide for sustainable energy development strategies such as biomass. The valorization of biomass makes it possible to alleviate environmental problems. we are able to obtain energy from what was, until recently, considered to be waste. this article assesses the contribution that chestnut skin biomass makes, in energy, environmental and economic terms, to the production process of the company Monsurgel Lda. The results show that the chestnut skin can contribute to an energy saving with a good investment payback time and also an environment contribution with the CO2 reduction. Proceedings of the 29th European Biomass Conference and Exhibition, 26-29 April 2021, Online, pp. 515-521

This study explores the role of digital and smart technologies in cultural heritage organizations, particularly museums, in promoting sustainability and social inclusion. The rapid advancement of digital tools and smart technologies, accelerated by the COVID-19 pandemic, has shown their potential to overcome barriers and support the ambitious goals of the UN Agenda 2030. However, the widespread adoption and integration of these technologies present complex challenges for managers and policymakers. In the context of Italian museums, the use of innovative technologies for sustainability and social inclusion is still in its early stages and underutilized. Through a literature review and multiple case study analysis, this research examines the adoption of digital tools and smart technologies, including Artificial Intelligence, in leading Italian museums. The findings offer valuable insights to guide future research in this area.

Regional and local decision-makers still require relevant information and training in order to establish long-term strategies and to contribute to national and supranational energy and climate targets. As an example, a widespread participation of local authorities to comply with the Italian long-term building renovation strategy has not occurred so far. Thus, the overall target, annual 1% floor area of new or deeply renovated buildings to the nearly zero-energy building (nZEB) standard by 2020 (PanZEB 2015), proves to have been disregarded to date. Evidence-based, data-enabled assessment of the building stock and of its relationship with the energy system as a whole at a capillary level is crucial to this extent. In Italy, various building databases are already being used with the ultimate purpose of EPBD implementation and to track and record incentives for public and private building renovation. These datasets have an untapped potential for local energy planning that could be released from wider integration, also including energy consumption data and smart-metering data. Moreover, the regulatory landscape is changing toward an interaction of the building with the user, the energy grid and other buildings in a dynamic and functional way. Within this context, the paper will investigate how integrated data could unlock the value of a more evidence-based planning starting from the DIPENDE integrated dataset, a REQUEST2ACTION (IEE 2014–2017) pilot project combining data from energy performance certificates (EPCs) with bottom-up information on building renovation, and other data in order to support decision making at different territorial scales.

Starting from an interpretation of “sustainable mobility”, this study describes a possible taxonomy of the modalities of urban travels related to sustainability and it suggests an inclusive approach to implement urban policies for “soft mobility” inside the urban contexts. These policies aim at improving the levels of urban liveability, reducing the polluting emissions and promoting the recovery of a sober moral behaviour in acting and reacting inside the city. The underway photovoltaic bikesharing project “Bene Bike” in Benevento shows how the bike station plays an innovative role. It represents a multifunctional element able of managing material and immaterial “flows of urban travels” (people, energy, information).

Environmental and technical concerns arise from the extensive utilization of the huge world coal reserves. They can nowadays be overcome only resorting to advanced energy conversion technologies. Integrated coal gasification and methanol synthesis power plants can perform a load-following service, by producing and storing liquid methanol, and reduce the carbon dioxide emissions, by removing CO2 and disposing it outside the atmosphere. In this paper, a comparative performance analysis among the different IGMS power plants has been carried out, by evaluating the influence of the coal gasification and methanol synthesis technologies on the main performance characteristics, such as the methanol production, the specific CO2 emissions and the overall efficiency.

AbstractIn photovoltaic (PV) projects, it is important to establish a common practice for professional risk assessment, which serves to reduce the risks associated with related investments. The objective of this paper is to present a methodology on how to improve the current understanding of several key aspects of technical risk management during the PV project lifecycle, with the identification of technical risks and their economic impact. To achieve this, available statistical data of failures during a PV project have been collected with the aim to (i) suggest a guideline for the categorisation of failure and (ii) develop a methodology for the assessment of the economic impact of failures occurring during operation but which might have originated in previous phases. The risk analysis has the aim to assess the economic impact of technical risks and how this can influence various business models and the levelised cost of electricity. This paper presents the first attempt to implement cost‐based failure modes and effects analysis to the PV sector and to define a methodology for the estimation of economic losses because of planning failures, system downtime and substitution/repair of components. The methodology is based on statistical analysis and can be applied to a single PV plant or to a large portfolio of PV plants in the same market segment. The quality of the analysis depends on the amount of failure data available and on the assumptions taken for the calculation of a cost priority number. The overall results can be linked to the cost of periodic and corrective maintenance and form the basis to estimate the impact of various risk and mitigation scenarios in PV business models. Copyright © 2017 John Wiley & Sons, Ltd.