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Abstract With drastic fossil fuel depletion and environmental deterioration concerns, a move towards a more sustainable bioenergy-based economy is essential. Lately, the application of microwave (MW) irradiation for waste processing has been attracting interest globally. MW-assisted heating possesses several advantages such as the provision of high microwave energy into dielectric materials with deeper penetration for internal heat generation, showing beneficial features in improving the heating rate and reducing the reaction time. Consequently, the most recent literature regarding the applications of MW-assisted heating for biomass pretreatment as well as biofuel and bioenergy production was reviewed and consolidated in this study. An impressive increase in the product yield and improvement of the product properties are reported, with the use of MW-assisted heating in several conversion routes to produce biofuels. Despite being a promising technology for biofuel production, some major fundamental data of MW-assisted heating have not been comprehensively identified. Therefore, the feasibility of this technology for large-scale implementation is still subpar. Understanding the interaction between the feedstock and the microwave electromagnetic field, and the optimization of several operational and mechanical parameters are the two main keystones that would propel the industrialization of MW heating in the near future. This provides key insights leading to increased feasibility and more advanced application of MW heating.

Abstract In this article, we investigate the intergenerational transmission of sustainable consumption practices. Whereas previous studies have used self-reported attitudes and behaviour, this study uses data on actual energy consumption for space-heating and hot water combined with extensive panel data from Danish administrative registers. The paper shows significant intergenerational correlations between the energy consumption patterns of adults and their mothers, also when controlling for the energy consumption of the mother-in-law, where possible. Furthermore, it shows that the intergenerational correlation is slightly stronger for adults with lower income levels. These results suggest that energy consumption practices are shared and reproduced within the family. Following theories of practice, the intergenerational similarities in energy consumption practices refer to bodily learned practices that are indirectly transmitted and negotiated through family relations. In this way, these findings also contribute to a better understanding of how practical understanding regarding how to perform practices is transmitted within more ordinary aspects of consumption that play a less obvious role in distinction. To ensure more sustainable consumption practices in the future, this paper points to the importance of the role of family relations and the transmission of embodied practices.

Le Meillour & Sinet-Mathiot et al. 2024 Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses DOI: 10.1016/j.isci.2024.109432 MALDI-ToF MS data (raw data: mzML files, merged spectra: msd files) used for the ZooMS analysis of the bone material from Baishiya Karst Cave (China) and La Draga (Spain), along with the R codes for merging triplicates into one msd file. 

This chapter traces situations in which economic and material practices that can be connected to a globalised economy intersect with elements connected to climate change. We present three stories from the High Arctic, each showing moments where such intersections happen in different ways, generating specific concerns and lines of effects. The stories are situated in Qaanaaq, the northernmost town in Greenland, located at 77° N. Here, although human livelihoods and ecosystems are affected by globalised economies – capitalist modes of production and lines of consumption – people live with limited access to free flows of money and commodities. The chapter describes and situates particular concerns and effects related to climate change, and analyses how climate change effects tangle with and impinge upon the complexity of local livelihoods and national aspirations in Greenland. It questions how public and political discourses tend to engage with climatic and environmental change as one phenomenon that takes place globally, and poses a puzzle to be solved by a global community. Rather than seeing climate change as providing humanity with one broad puzzle to be solved, we propose these ethnographic stories as pieces of a puzzle, or puzzling pieces, each providing viewpoints and specifically situated challenges and concerns to learn from in order to deal with climatic changes and changes in livelihood opportunities, theoretically as well as practically and politically.

The present paper exhibits a real time assessment of a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, is based on a self-gain scheduled controller, which guarantees the H∞ performance for a class of linear parameter varying (LPV) systems. Assuming that the duty cycle of the involved DC-DC converters are considered as the variable parameters, that can be captured in real time, and forwarded to the controller to ensure both; the performance and robustness of the closed-loop system. The subsequent controller is therefore time-varying and it is automatically scheduled according to each parameter variation. This algorithm has been validated through experimental results provided by a tailor-made test bench including both the HESS and the vehicle traction emulation system. The experimental results demonstrate the overall stability of the system, where the proposed LPV supervisor successfully accomplishes a power frequency splitting in an adequate way, respecting the dynamic of the sources. The proposed solution provides significant performances for different speed levels.

When biomass is thermally treated, the enrichment of carbon in the remaining “green coal” is correlated with the temperature and duration. Other properties related to the energetic properties of the torrefied biomass are closely related to chemical modifications and correlated to the material mass loss occurring during the thermal degradation. The possibility of using near infrared spectrometry has been investigated to predict the mass loss of Pinus sylvestris wood torrefied at temperatures ranging from 220°C to 300°C with durations varying from 1 minute to 10 hours. A first mass loss prediction model (NIR‐260) associated with the mean torrefaction temperature of 260°C was developed, and appeared suitable only for this temperature due to specific chemical reactions rate. A second model (NIRS‐All), using all available data was constructed and showed an accurate mass loss prediction, for both low (220°C) and high temperatures (300°C). The main differences between NIRS‐260 and NIRS‐All models are mainly attributed to the thermal modification of hemicelluloses and cellulose fractions occurred during the wood torrefaction. The results showed near infrared spectrometry combined with multivariate calibration modeling have potential utility in an industrial context as a standardized continuous method to figure out the mass loss of biomass during torrefaction by a rapid characterization. Novelty Statement The novelty concerns the use of the Near Infrared Spectrometry (NIRS) combined with multivariate calibration modeling as a standardized method for determining the mass loss biomass during torrefaction by a rapid and nondestructive characterization. A model was constructed and showed an accurate mass loss prediction, for both low (220°C) and high temperatures (300°C). Near infrared spectrometry have potential utility in an industrial context as a standardized continuous method.

In our research we identified 45 business model patterns with the potential to support sustainable business design. These patterns were arranged in groups based on commonalities in the sustainability challenges the patterns address. The following 11 groups will be presented in detail in our forthcoming book:  Group 1: Pricing & Revenue Patterns primarily address the revenue model of a business model, i.e. these patterns define how offerings are priced and revenues generated.  Group 2: Financing Patterns address the financing model within a business model, i.e. these patterns define how equity, debt, and operating capital can be acquired.  Group 3: Eco-Design Patterns integrate ecological aspects into key activities and value propositions, i.e. these patterns define how processes and offerings are designed to improve their ecological performance over their entire life cycle.  Group 4: Closing-the-Loop Patterns help integrate the idea of circular material and energy flows into partnerships, key activities, and customer channels, i.e. these patterns offer alternative ways of how materials and energy flow into, out of, and return to a company.  Group 5: Supply Chain Patterns modify the upstream (partners, resources, capabilities) and/or downstream (customers, relationships, channels) components of a business model, i.e. these patterns define how inputs are sourced and target groups are reached.  Group 6: Giving Patterns help donate products or services to target groups in need, i.e. these patterns define how costs are covered and social target groups are reached.  Group 7: Access Provision Patterns create markets for otherwise neglected target groups, involving modified value propositions, channels, revenue, pricing and cost models, i.e. these patterns define how value propositions are designed, delivered, and to whom.  Group 8: Social Mission Patterns integrate social target groups in need, including otherwise neglected groups, either as customers or productive partners, i.e. these patterns define how customers, partners, and employees are defined and integrated.  Group 9: Service & Performance Patterns emphasize the functional and service value of products and offer performance management, i.e. these patterns are special in how value propositions are defined and delivered.  Group 10: Cooperative Patterns integrate a broad range of stakeholders as co-owners and co-managers, i.e. these patterns are special in how partners are defined and how the organization is governed.  Group 11: Community Platform Patterns substitute resource or product ownership with community-based access to resources and products, i.e. these patterns offer alternatives to how value propositions are defined and delivered.

Abstract The integration of the Photovoltaic (PV) - based Distributed Generation (DG) Systems to the conventional electrical grid is a significant issue to achieve a confidential grid operation. This study presents a novel structure for the suppression of the common-state leakage current for PV-based inverters. It investigates the real-time performance of the inverter for the grid-code compatibility of the PV-based microgrid applications. Many of the topologies have been introduced to suppress leakage currents in grid-based Photovoltaic (PV) inverters, but most of them cannot practically reach more than 95% efficiency. The number of the components, especially the switching semiconductors, including the power switches and power diodes and the current and ripples' level in the topology filter side inductors, are essential criteria for efficiency. The proposed inverter includes six power switches and two power diodes. Since different operational states, only two power components per branch of the inverter are activated a higher efficiency than the conventional H5, H6, and HERIC converters. It presents the THD equal to 1,42 for load-connection states that is considerable. This converter can also generate pure sinusoidal current and voltage waveforms for the reactive loads, especially resistive-inductive load connections that are most common in industrial applications. As a study-case, the implemented inverter was tested under different grid conditions in the laboratory, and a real-time LabVIEW-based monitoring and grid protection system was realized within the research scope. Under/over-frequency protection and under/over voltage protection were performed to provide a reliable microgrid management system for the developed inverter. According to IEEE 929-2000 threshold values for the breakers' reaction operation under the ±10% as the output threshold voltage, the converter's performance is presented. A real-time monitoring and protection system are developed, and the developed LabVIEW analyzer has done the hardware test results. THD and spectrum analysis are also investigated in the real-time domain by the developed inverter test system. In this way, the implemented inverter's grid code compatibility is investigated in real-time, and the experimental results show that the proposed inverter is reliable for PV-based microgrid applications.

This paper applies some of the major concepts and methods that Ron Scollon developed in order to analyse how discourses of environmental citizenship, sustainability and climate change are mediated in a global media event. ‘Earth Hour’ began in 2007 in Sydney, Australia, and in 2009 it was proclaimed a successful global event. The event focused primarily on citizen awareness, participation and solidarity in mitigating climate change. In its sister campaign (‘Vote Earth’), the discourse of representative democracy was deployed to constitute an imaginary global electorate. The paper focuses on the analysis of: (a) the intense drive to visualize and spectacularize (mediational means) the simple act of switching off the lights and the consequences of such an act; (b) the massive infrastructure of discourse to synchronize the collective performance of a global ‘climate public’; (c) the discursive ‘memory work’ to archive and memorialize the hour, e.g. on YouTube; (d) the attempt to inculcate a ‘global citizen’ who is concerned with the environment/climate and whose anticipatory mediated actions in relation to it are prefigured by the event; and (e) the resistance to the circulation of this new mediated discourse.

Abstract There is a variety of solar-based energy system designs for buildings. Although these systems are economically profitable, reducing the energy cost of the buildings over time, their penetration has not been that impressive yet due to their high initial cost. In this study, an energy system comprising a few PVT panels (without any batteries) and a heat storage tank is proposed and investigated for smart buildings with two-way interactions with both heat and electricity grids. Removing the battery from the system would result in a sharp reduction of the cost of the system and, thereby, will make incentives for the end-users to adopt the solution. This novel system will not only supply the buildings’ real-time electricity and domestic hot water needs but also will compensate for a significant portion of the buildings’ energy expenses by selling the surplus generations to the electricity and heat networks. The dynamic model of the proposed system is comprehensively analyzed from thermodynamic and economic points of view using TRNSYS software. Additionally, defining the overall annual exergy efficiency, and the total product cost as the objective functions, optimization of the design and size of the system employing the TRNOPT tool has been done. It is shown that the optimized system results in 16.7 €/MWh and 7.7 €/MWh lower energy costs for electricity and heat of the buildings compared to when the buildings’ demand is only supplied by heat and electricity grids.