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This data is connected to the research paper "Arctic geese tune migration to a warming climate but still suffer from a phenological mismatch". It includes data on migration and reproduction timing of Barnacle Geese in relation to the timing of snow melt and plant phenology, and also reproduction data from Barnacle Geese. Detailed information can be found in the README file. Please contact me before using these data.

Practitioners frequently use ecological designed semantic on packaging to provide consumers with information about the environmental quality of the product itself. However, discrepancies between packaging cues and actual pro-environmental product quality trigger confusion and mistrust regarding organic products (i.e., “greenwashing” a conventional product with ecological semantics, “conventional-washing” an organic product with conventional semantics”). This study sought to understand whether (nonverbal) ecological packaging semantics would equate to increases in attributed environmental product quality; the persuasiveness of nonverbal packaging design media (i.e., visual, material), effects on further quality attributions and marketing-relevant variables (e.g., trustworthiness, willingness to pay) and the influence of consumers’ environmental consciousness levels. Findings indicate robust spillover effects of ecological design communications on a product's perceived environmental friendliness, which in turn was correlated to further quality attributions and marketing-relevant variables (e.g., trustworthiness, willingness to pay). Moreover, individuals’ environmental consciousness (EC) showed as a relevant moderating variable, with spillover effects being more pronounced for individuals with rather low EC.

Ammonia has been responsible for feeding population growth in the 20th century through synthetic fertilizer, and is poised to become the preferred energy storage medium for a society powered by renewable electricity in the 21st century. However, conventional brown ammonia production through the Haber-Bosch process is optimized for utilization of centralized and steady energy supply from fossil-fuels. When shifting to distributed and intermittent energy supply through wind and solar energy, a re-optimization is required for a low-capital and flexible green ammonia production processes. This thesis re-designs and Haber-Bosch process by targeting the integration of reaction and separation in a single process vessel at low pressures, thereby achieving the simplification and down-scaling of the high pressure recycle loop of the Haber-Bosch process. Materials are developed for this purpose, the feasibility of integration is demonstrated, and mathematical modeling is utilized for assessing the application of the single-vessel process to a range of renewable energy sources in comparison to competing ammonia production processes. Herein, a catalyst with low-temperature (< 350°C) and high-conversion (i.e. near equilibrium) activity is developed using ruthenium nanoparticles as the active metal supported on ceria and promoted with cesium to mitigate hydrogen and ammonia inhibition, respectively. This catalyst is compared to commercial iron-based catalyst from the perspective of the final application. Concurrently, a high-temperature (> 300°C) manganese chloride absorbent is developed that resists decomposition and is stable when supported on silica. These catalyst and absorbent are integrated in a layered reactor configuration to demonstrate the feasibility of the integrated process by exceeding single-pass reaction equilibrium. Mathematical modelling of ammonia production processes illustrates that at small-scales (< 1 t day-1) the single-vessel process is optimal compared to the Haber-Bosch process due to its modular design. In addition, it can achieve simpler ramping because the Haber-Bosch process is constrained by heat-integration in the recycle loop and the potential for runaway reaction. For final application, the pairing of ammonia production processes with examples of intermittent solar and wind sources demonstrates that the flexibility of the production process is essential when considering non-ideal sources of energy with a long-term (e.g. seasonal) oscillations. Flexible ammonia production also expands the economic usage of ammonia as an energy storage vector from the seasonal to the weekly time-scale, with advantage compared to batteries or hydrogen. The work of this thesis provides a framework for advancing the electrification of the chemical industry given the novel constrains of intermittent and distributed renewable energy. A systems level approach is applied from the ground up, starting from material design and progressing to optimized process design and application.

The aggravating global problems of energy crisis, rising atmospheric greenhouse gas concentrations and accumulation of persistent waste have attracted the attention of scientists, policy-makers and global organisations to come up with effective and expeditious solutions to address these challenges. In this context, the development of sustainable technologies driven by renewable energy sources for the production of clean fuels and commodity chemicals from diverse waste feedstocks is an appealing approach towards creating a circular economy. Over the years, semiconductor photocatalysts based on TiO₂, CdS, carbon-nitrides (CNx) and carbon dots (CDs) have been widely used for the photocatalytic reforming (PC reforming) of pre-treated waste substrates to organic products, accompanied with clean hydrogen (H₂) generation. However, these conventional solar-driven processes suffer from major drawbacks such as low production rates, poor product selectivity, CO₂ release, challenging process and catalyst optimisation, and harsh waste pre-treatment conditions, which limit their commercial applicability. These challenges are tackled in this thesis with the introduction of new and efficient photoelectrochemical (PEC) and chemoenzymatic processes for reforming a diverse range of waste feedstocks to sustainable fuels. Solar-driven PEC reforming based on halide perovskite light-absorber is first developed as an attractive alternative to PC reforming. The PEC systems consist of a perovskite|Pt photocathode for clean H₂ production and a Cu-Pd alloy anode for reforming diverse waste streams, including pre-treated cellulosic biomass, polyethylene terephthalate (PET) plastics, and industrial by-product glycerol into industrially-relevant, value-added chemicals (gluconic acid, glycolic acid and glyceric acid) without any externally applied bias or voltage. Additionally, the single light-absorber PEC systems can also convert the airborne waste stream and greenhouse gas CO₂ to diverse products with the simultaneous reforming of PET plastics with no applied voltage. The perovskite-based photocathode enables the integration of different CO₂ reduction catalysts such as a molecular cobalt porphyrin, a Cu-In alloy and formate dehydrogenase enzyme, which produce CO, syngas and formate, respectively. The versatile PEC systems, which can be assembled in either a ‘two-compartment’ or standalone ‘artificial leaf’ configurations achieve 60‒90% oxidation product selectivity (with no over-oxidation) and >100 µmol cm‾² h‾¹ product formation rates, corresponding to 10²‒10⁴ times higher activity than conventional PC reforming systems. In addition to developing PEC platforms, this thesis also explores avenues for circumventing the harsh alkaline pre-treatment strategies (pH >13, 60‒80 ºC) adopted for photoreforming waste substrates. For this purpose, a chemoenzymatic pathway is introduced whereby PET and polycaprolactone plastics were deconstructed using functional enzymes under benign conditions (pH 6‒8, 37‒65 ºC), followed by PC reforming using Pt loaded TiO₂ (TiO₂|Pt) or Ni₂P loaded carbon-nitride (CNx|Ni₂P) photocatalysts. The chemoenzymatic reforming process demonstrates versatility in upcycling polyester films and nanoplastics for H₂ production at high yields reaching ∼10³‒10⁴ µmol gsub‾¹ and activities at >500 µmol gcat‾¹ h‾¹. The utilisation of enzyme pre-treated plastics also allowed the coupling of plastic reforming with photocatalytic CO₂-to-syngas conversion using a phosphonated cobalt bis(terpyridine) co-catalyst immobilised on TiO₂ (TiO₂|CotpyP). Finally, moving beyond solar-driven systems, a bio-electrocatalytic flow process is demonstrated for the conversion of microbe pre-treated food waste to ethylene (an important feedstock in the chemical industry) on graphitic carbon electrodes via succinic acid as the central intermediate. In conclusion, with its focus on improving efficiencies, achieving selective product formation, building versatile platforms, diversifying substrate and product scope, and reducing carbon footprint and economic strain, this thesis aims to bring sustainable waste-to-fuel technologies a step closer to commercial implementation.

In many industries, an increasing number of firm owners tie managers’ incentives to sustainability investments. Positive rewards directly increase a manager's total pay when that manager makes sustainability investments, whereas negative rewards directly decrease a manager's pay when those investments are made. Strategic incentive design literature posits that such organizational choices also affect the decisions of a firm's competitors. This paper uses a game-theoretic framework to analyze the effects of sustainability incentives in a setting with two competing firms. In contrast to the existing literature, in the current paper sustainability investments have a demand-enhancing effect and can increase or decrease the unit cost of production, making the current framework more in line with industrial practice. The results show that a firm invests in sustainability only if the demand-enhancing effects outweigh the cost-increasing effects. More importantly, positively rewarding managers for sustainability investments is done in equilibrium only if the innovation capability of the firm is sufficiently high. However, in terms of profits, those positive rewards lead to a prisoner's dilemma. When innovation capability is lower, firm owners use negative rewards and raise their profits. Another finding is that rival firms that cooperate in determining their sustainability incentives increase their profits but do so using negative rewards. These results, which have not been reported in the literature, point to some critical trade-offs in terms of sustainability investments and firm profits when sustainability incentives are considered and are both managerially and academically relevant.

Railway is currently envisioned as the most promising transportation system for both people and freight to reduce atmospheric emission and combat climate change. In this context, ensuring the energy efficiency of the railway systems is paramount in order to sustain their future expandability with minimum carbon footprint. Recent advancements in computing and communication technologies are expected to play a significant role to enable novel integrated control and management strategies in which heterogeneous data is exploited to noticeably increase energy efficiency. In this paper we focus on exploiting the convergence of heterogeneous information to improve energy efficiency of railway systems, in particular on the heating system for the railroad switches, one of the major energy intensive components. To this aim, we define new policies to efficiently manage the heating of these switches exploiting also external information such as weather and forecast data. In order to assess the performance of each strategy, a stochastic model representing the structure and operation of the railroad switch heating system and environmental conditions (both weather profiles and specific failure events) has been developed and exercised in a variety of representative scenarios. The obtained results allow to understand both strengths and limitations of each energy management policy, and serves as a useful support to make the choice of the best technique to employ to save on energy consumption, given the system conditions at hand.

This data represents the input and output data for the optimisation model developed in "Multi-objective Optimisation of Power-to-Mobility in Decentralised Energy Systems". The input data is specific to the case study used in the paper and includes: 1. The electricity and heating loads for each building (please note that although 50 buildings are used in the case study, two-family homes have been grouped together to result in 35 listed in these files) and solar radiation on the rooftop are included for the representative days horizon in "Building Loads Representative days 2018.xls", "Building Loads Representative days 2035.xls" and "Building Loads Representative days 2050.xls" 2. The driving profiles for each vehicle are found in "Charging profiles with driving cycles.xlsx". This includes profiles for the highway, average, and urban cycle profiles with the representative days horizon and the binary to indicate whether or not a vehicle is at home. 3. "Car2building.json" maps each vehicle index to the associated building. 4. "Power limit per building.xlsx" shows the maximum amount of power per building in the case study. 5. "PV Maximum Area per rooftop.xlsx" is the maximum area on each rooftop available for solar PV installation taken from the Sonnendach data set (https://www.uvek-gis.admin.ch/BFE/sonnendach/). Please note that all other input variables are indicated in Appendix B. The output data from the optimisation includes three file types for the three years (2018, 2035, and 2050) and for the Pareto optimum solutions and the reference case solutions: 1. "Sizing and Storage Operation" includes the sizing of conversion and storage technologies (sheets "PVCapacity" for PV and "TechCapacity" for all others) and the selection of vehicle technologies (sheet "Car_selection"). The charging, discharging (sheets "ChDsch"), and storage level ("Level") of all storage technologies for each Pareto solution are also included. The discharging of the vehicles back to the buildings is also in ("VBiDi"). This sheet also includes the calculation of the costs ("TechCost") and emissions ("TechCO2") 2. "Conversion Tech and Vehicle Charging" includes the energy consumed by conversion technologies ("InOps") and the energy produced by conversion technologies ("OutOps"). The PV output has its own tab in ("PVOps"). Vehicle charging in the community or at home is performed in ("VCharg") and public charging is performed in ("PCharg"). 3. "Export and Import" includes the energy carriers exported ("Export") and imported ("Import") into the system.

Full data table for Carbon content, Nitrogen content, and biovolume measurements of planktic Rhizaria. This data is associated with the publication: Mansour, J.S., Norlin, A., Llopis Monferrer, N., L'Helguen, S., and Not, F. (2020). Carbon and nitrogen content to biovolume relationships for marine protists of the Rhizaria lineage (Radiolaria and Phaeodaria). Limnol. Oceanogr. doi: 10.1002/lno.11714 Rhizaria are ubiquitous in oceanic waters. They have previously been underestimated due to their fragility, but recent (molecular) studies show that they are major components of the planktic community and contribute greatly to, among others, the carbon and silica flux. This study provides key data on the carbon and nitrogen content of Rhizaria and its relation to cell biovolume. Here presented are the raw data of measured (CN Elemental Analyzer) carbon and nitrogen content of Rhizaria (i.e. specifically Collodaria, Acantharia, Nassellaria, Spumellaria, Aulacantha, Protocystis, and Challengeria), as well as picture-based estimates of biovolume and derived characteristics. The biovolume-to-mass relationship for these protists has allowed the formulation of mass-to-volume equations and ratios that can be used to estimate mass from biovolume. Our data shows that global Rhizaria biomass might have in fact still been underestimated. This will be pivotal information for studies of ocean ecology and for modeling biomass fluxes, whether it is biogeographic or smaller-scale system dynamics.

- Database of African Renewable Energy Policies, based on publicly available soures, e.g. World Bank, IRENA, IEA, Climatescope.- Country sample: Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Côte d‘Ivoire, Democratic Republic of the Congo, Egypt, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Madagascar, Malawi, Mali, Mauritius, Morocco, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Togo, Tunisia, Uganda, Zambia and Zimbabwe.- Renewable energy policy mapping according to policy content, actor constellation, transformative potential of each policy.Publication: Is Green a Pan-African Colour? Mapping African Renewable Energy Policies and Transitions in 34 Countries, in: Energy Research and Social Science