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Bioplastics are alternatives of conventional petroleum-based plastics. Bioplastics are polymers processed from renewable sources and are biodegradable. This study aims at conducting an environmental impact assessment of the bioprocessing of agricultural wastes into bioplastics compared to petro-plastics using an LCA approach. Bioplastics were produced from potato peels in laboratory. In a biochemical reaction under heating, starch was extracted from peels and glycerin, vinegar and water were added with a range of different ratios, which resulted in producing different samples of bio-based plastics. Nevertheless, the environmental impact of the bioplastics production process was evaluated and compared to petro-plastics. A life cycle analysis of bioplastics produced in laboratory and petro-plastics was conducted. The results are presented in the form of global warming potential, and other environmental impacts including acidification potential, eutrophication potential, freshwater ecotoxicity potential, human toxicity potential, and ozone layer depletion of producing bioplastics are compared to petro-plastics. The results show that the greenhouse gases (GHG) emissions, through the different experiments to produce bioplastics, range between 0.354 and 0.623 kg CO2 eq. per kg bioplastic compared to 2.37 kg CO2 eq. per kg polypropylene as a petro-plastic. The results also showed that there are no significant potential effects for the bioplastics produced from potato peels on different environmental impacts in comparison with poly-β-hydroxybutyric acid and polypropylene. Thus, the bioplastics produced from agricultural wastes can be manufactured in industrial scale to reduce the dependence on petroleum-based plastics. This in turn will mitigate GHG emissions and reduce the negative environmental impacts on climate change.

Abstract This paper deals with the control of the series FACTS (Flexible AC Transmission Systems) devices for the coordination between their transient stability controller and POD (Power Oscillation Damping) controller in multi-machine power systems. The design aspects and their implementation in form of fuzzy-logic coordination controller are presented. Furthermore, ANFIS (Adaptive Neuro-Fuzzy Inference System) is employed for the training of the proposed fuzzy-logic controller. The local signals of the FACTS devices are applied to achieve the coordination objectives. Digital simulations of multi-machine power system subjected to a wide variety of disturbances validate the efficiency of this approach. The proposed control scheme is not only robust, but also simple and easy to be realized in power systems.

In the heating sector, borehole heat exchangers have become popular for supplying renewable energy. They tap into the subsurface to extract geothermal energy for heating purposes. For advanced applications, borehole heat exchangers require insulation in the upper part of the borehole either to meet legal requirements or to improve their performance. A priori numerical heat transport models of the subsurface are imperative for the systems’ planning and design. Only fully discretized models can account for depth-dependent borehole properties like insulated sections, but the model setup is cumbersome and the simulations come at high computational cost. Hence, these models are often not suitable for the simulation of larger installations. This study presents an analytical solution for the simulation of the thermal interactions of partly insulated borehole heat exchangers. A benchmark with a fully discretized OpenGeoSys model confirms sufficient accuracy of the analytical solution. In an application example, the functionality of the tool is demonstrated by finding the ideal length of a borehole insulation using mathematical optimization and by quantifying the effect of the insulation on the borehole heat exchanger performance. The presented method allows for accommodation of future advancements in borehole heat exchangers in numerical simulations at comparatively low computational cost.

Abstract Solar radiation can be considered as one of the most suitable energy source to be used for cooking food. It is therefore important to promote advancement in solar cooking systems, in particular as concerns their efficiency and cooking times. In this work, we designed, realized and tested a novel low-cost solar cooker that uses a high-performance light-concentrating Fresnel lens, which is able to concentrate onto a small focal area a large amount of solar radiation. The radiation is then reflected by a mirror towards a cooking surface, where a pot can be located. The cooker has a geometrical concentration ratio of 40.97. In order to characterize the thermal performance of the cooker, we carried out several outdoor tests with a dedicated test setup, using water and silicone oil as absorbing media. Respect to other solar cookers, results show that the proposed cooker is able to reach high temperatures with good efficiency and reduced heating times: 3 kg of water can reach 90 °C in around 30 min, while 3 kg of silicone oil can be taken from 40 to 170 °C in less than one hour.

A large number of building multi-type air-conditioners are considered to be large-scale controllable loads of Fast Automated Demand Response (FastADR). The power consumption of air-conditioner can be suppressed by the power limitation command assigned to each air-conditioner by an aggregator service which controls demand side total power consumption. However, the power consumption response of each air-conditioner to the power limitation command shows sometimes indefinite stochastic behavior due to the power margin to the suppression and local embedded refrigerant controls. In this paper, we study statistical averaging effect of aggregation of a large number of power limitation responses. Since collecting samples of real-world applications in office buildings is difficult, we developed an original air-conditioner emulator model which simulates both of definite behavior and indefinite stochastic behavior. We discuss the possibility of estimation on the ensemble averaging effects using the air-conditioner emulator model.

AbstractIt is possible to give a complete description of the temperature behavior of electrical machines by building the heat‐source network. The temperature characteristics of the components can be taken into account by the relevant heat transfer paths in the form of convection, conduction and radiation. The thermal response of the components of an electrical machine as a typical multiple mass problem differs from place to place. The interaction between the neighboring parts results in it no longer being possible to describe the thermal time characteristics of most components by an e‐function. The time each component requires to reach its thermal equilibrium can be determined. This computer program allows the temperature to be determined at any desired point within the claw‐pole generator. The influence of design, material and flow changes can be investigated.

Lead in perovskite solar cells is a potential environmental and health hazard if it is released from accidentally damaged panels. Now, the encapsulation of perovskite solar cells with self-healing polymers is shown to significantly reduce the risk of lead leakage from hail impact under a variety of weather conditions.

Coarse-grained silicon films for crystalline silicon thin-film solar cells have been prepared by zone melting recrystallization. A zone melting heater was modified to obtain better temperature homogeneity of the sample and higher reproducibility of the melt process. Various substrate materials of different purity and surface roughness have been tested concerning their suitability for, silicon deposition, zone melting and solar cell process. Solar cell efficiencies up to 10.5% could be achieved on silicon sheets from powder, capped by an intermediate layer. Silicon films on SiAlON ceramics were successfully processed to solar cells by a completely dry solar cell process.

Solar thermal performance of metal/dielectric multilayer coatings of various material combinations was calculated using a computer program. The simulated material combinations were selected with respect to their use in high-temperature (T ≥ 500°C) solar thermal energy conversion. Maximum solar absorptances α = 0.94 with low emittances e = 0.16 (T = 1100 K) were calculated for Al203/noble metal (Rh, Ir) coatings. Simulations on multilayers of noble metal oxides, like RuO2 and IrO2, were carried out to optimize solar absorption a using optical data in the region from 300 nm to 2.3 μm. Absorptances as high as α = 0.96 were obtained for both systems.