Due to the exhaustion and increased pressure regarding the environmental and political aspects of fossil fuels, the industrial focus has switched towards renewable energy resources. Lignocellulosic biowaste can come from several sources, such as industrial waste, agricultural waste, forestry waste, and bioenergy crops and processed into bioethanol via a biochemical pathway. Although much research has been done on the ethanol production from lignocellulosic biomass, the economic viability of a bioethanol plant in the Northern Netherlands is yet unknown, and therefore, examined. In this thesis, the feasibility study of a bioethanol plant treating sugar beet pulp, cow manure, and grass straw is conducted using the simulation software SuperPro Designer. Results show that it is not economically viable to treat the tested lignocellulosic biomass for the production of bioethanol, since all three original cases result in a negative net present value (NPV). An alternative would be to exclude the pretreatment step from the process. Although this results in a lower production of bioethanol per year, the plant treating sugar beet pulp (SBP) and grass straw (GS) becomes economically viable since the costs have significantly decreased.
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Plant photosynthesis and biomass production are associated with the amount of intercepted light, especially the light distribution inside the canopy. Three virtual canopies (n = 80, 3.25 plants/m2) were constructed based on average leaf size of the digitized plant structures: ‘small leaf’ (98.1 cm2), ‘medium leaf’ (163.0 cm2) and ‘big leaf’ (241.6 cm2). The ratios of diffuse light were set in three gradients (27.8%, 48.7%, 89.6%). The simulations of light interception were conducted under different ratios of diffuse light, before and after the normalization of incident radiation. With 226.1% more diffuse light, the result of light interception could increase by 34.4%. However, the 56.8% of reduced radiation caused by the increased proportion of diffuse light inhibited the advantage of diffuse light in terms of a 26.8% reduction in light interception. The big-leaf canopy had more mutual shading effects, but its larger leaf area intercepted 56.2% more light than the small-leaf canopy under the same light conditions. The small-leaf canopy showed higher efficiency in light penetration and higher light interception per unit of leaf area. The study implied the 3D structural model, an effective tool for quantitative analysis of the interaction between light and plant canopy structure.
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Background: Revealing tacit knowledge often is seen as very valuable for organizations, although it is usually challenging to enunciate and share this type of knowledge. Methods: This study uses a participatory design and the application of a board gaming simulation as instruments to extract tacit knowledge. To illustrate this application, the gaming simulation is played with entrepreneurs from horticulture. Horticulture represents a complex social system where tacit knowledge plays a major role in the trade process. A participatory design process is used to explore whether the design and play of gaming simulations enable participants to explicate their tacit knowledge. Participants’ participation in designing the gaming simulation explicated that reconstructing reality was a prerequisite for their commitment. Results: The results from playing simulation sessions show that participants were able to: (1) narrow down the anecdotic behaviour to a few factors; (2) to structure these factors; (3) explore how these factors relate to trade barriers and (4) to explain which tactics are applied to foster trade. Conclusion: The educational value of this study is that it helped entrepreneurs in understanding complex real-life situations.
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Fouling plays a major role in the Dairy industry. Five criteria: defined flow, no circulation, real factory product, defined product temperature and defined wall temperature, are used to review articles on this topic published between 2003 and 2020. To show the effect of those criteria in experiments, a simulation model is developed. For a good experimental design to measure fouling, the use of a dairy product in a tubular heater with a known developed flow is advised. The temperature-time history of the product and the wall temperature of the heater should be recorded. Circulation of a product will increase the fouling and decrease the flow. Although none of the reviewed articles complied to all criteria, 71% of the reviewed articles met at least two criteria. If not all criteria are met, the results are of less use for the application for process lines on industrial scale. A simulated computer model can be helpful.
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The research presented in this thesis has highlighted (bio)geochemical, hydrological, and wetland ecological processes that interact and enhance ecosystem development on wetlands built on fine sediment. A combination of greenhouse and laboratory experiments were conducted. Some measured data from these experiments formed important input for subsequent analysis in a modeling environment. The findings presented in Chapters 2-6 can be divided into four topics: 1) Plant–soil interactions in the terrestrial zone, 2) wetland–terrestrial processes influencing nutrient availability in the land–water zone, 3) effects of plants on sediment consolidation in the terrestrial zone, and 4) effects of bioturbation on nutrient availability in the aquatic zone. The next sections give a summary of the results for these four topics. The last section summarizes the recommendations formulated for the Marker Wadden project.
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Renewable energy sources have an intermittent character that does not necessarily match energy demand. Such imbalances tend to increase system cost as they require mitigation measures and this is undesirable when available resources should be focused on increasing renewable energy supply. Matching supply and demand should therefore be inherent to early stages of system design, to avoid mismatch costs to the greatest extent possible and we need guidelines for that. This paper delivers such guidelines by exploring design of hybrid wind and solar energy and unusual large solar installation angles. The hybrid wind and solar energy supply and energy demand is studied with an analytical analysis of average monthly energy yields in The Netherlands, Spain and Britain, capacity factor statistics and a dynamic energy supply simulation. The analytical focus in this paper differs from that found in literature, where analyses entirely rely on simulations. Additionally, the seasonal energy yield profile of solar energy at large installation angles is studied with the web application PVGIS and an hourly simulation of the energy yield, based on the Perez model. In Europe, the energy yield of solar PV peaks during the summer months and the energy yield of wind turbines is highest during the winter months. As a consequence, three basic hybrid supply profiles, based on three different mix ratios of wind to solar PV, can be differentiated: a heating profile with high monthly energy yield during the winter months, a flat or baseload profile and a cooling profile with high monthly energy yield during the summer months. It is shown that the baseload profile in The Netherlands is achieved at a ratio of wind to solar energy yield and power of respectively Ew/Es = 1.7 and Pw/Ps = 0.6. The baseload ratio for Spain and Britain is comparable because of similar seasonal weather patterns, so that this baseload ratio is likely comparable for other European countries too. In addition to the seasonal benefits, the hybrid mix is also ideal for the short-term as wind and solar PV adds up to a total that has fewer energy supply flaws and peaks than with each energy source individually and it is shown that they are seldom (3%) both at rated power. This allows them to share one cable, allowing “cable pooling”, with curtailment to -for example-manage cable capacity. A dynamic simulation with the baseload mix supply and a flat demand reveals that a 100% and 75% yearly energy match cause a curtailment loss of respectively 6% and 1%. Curtailment losses of the baseload mix are thereby shown to be small. Tuning of the energy supply of solar panels separately is also possible. Compared to standard 40◦ slope in The Netherlands, facade panels have smaller yield during the summer months, but almost equal yield during the rest of the year, so that the total yield adds up to 72% of standard 40◦ slope panels. Additionally, an hourly energy yield simulation reveals that: façade (90◦) and 60◦ slope panels with an inverter rated at respectively 50% and 65% Wp, produce 95% of the maximum energy yield at that slope. The flatter seasonal yield profile of “large slope panels” together with decreased peak power fits Dutch demand and grid capacity more effectively.
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Floating wetland treatment systems (FWTS) are an innovative stormwater treatment technology currently being trialled on a larger scale in Australia. FWTS provide support for selected plant species to remove pollutants from stormwater discharged into a water body. The plant roots provide large surface areas for biofilm growth, which serves to trap suspended particles and enable the biological uptake of nutrients by the plants. As FWTS can be installed at the start of the construction phase, they can start treating construction runoff almost immediately. FWTS therefore have the potential to provide the full range of stormwater treatment (e.g. sediment and nutrient removal) from the construction phase onwards. A 2,100m 2 FWTS has been installed within a greenfield development site on the Sunshine Coast, Queensland. A four-year research study is currently underway which will target the following three objectives; (1) characterise the water quality of runoff from a greenfield development in the construction and operational phases; (2) verify the stormwater pollution removal performance of a FWTS during the construction and operational phases of a greenfield development; and (3) characterise the ability of FWTS to manage urban lake health. This extended abstract presents the proposed research methodology and anticipated outcomes of the study
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The project STORE&GO aims to investigate all the aspects regarding the integration of large-scale Power-to-Gas (PtG) at European level, by exploiting it as means for long term storage. One of the aspects that should be properly addressed is the beneficial impact that the integration of PtG plants may have on the electricity system.In the project framework, WP6 devoted its activities to investigate different aspects of the integration of PtG in the electricity grid, with the previous delivered reports.This deliverable focused in particular on how integrate the information about the facilities replicating the real world condition into a simulation environment. For doing this, the concept of remote Physical Hardware-in-the-Loop (PHIL) has been used and exploit.Remote simulation with physical hardware appears to be an effective means for investigating new technologies for energy transition, with the purpose of solving the issues related to the introduction of new Renewable Energy Sources (RES) into the electricity system. These solutions are making the overall energy systems to be investigated much more complex than the traditional ones, introducingnew challenges to the research. In fact:• the newly integrated technologies deal with different energy vectors and sectors, thus• requiring interoperability and multidisciplinary analysis;• the systems to be implemented often are large-scale energy systems leading to enormously complicated simulation models;• the facilities for carrying out the experiments require huge investments as well as suitable areas where to be properly installed.This may lead to the fact that a single laboratory with limited expertise, hardware/software facilities and available data has not the ability to secure satisfactory outcomes. The solution is the share of existing research infrastructures, by virtually joining different distant laboratories or facilities.This results in improvement of simulation capabilities for large-scale systems by decoupling into subsystems to be run on distant targets avoidance of replication of already existing facilities by exploiting remote hardware in the loop concept for testing of remote devices.Also confidential information of one lab, whose sharing may be either not allowed or requiring long administrative authorization procedures, can be kept confidential by simulating models locally and exchanging with the partners only proper data and simulation results through the co-simulation medium.Thanks to the realized method it is possible to real time analyse renewable devices at remotepower plants and place them in the loop of a local network simulation.The results reported show that the architecture developed is strong enough for being applied also atnew renewable power plants. This opens the possibility to use the data for research purposed, butalso to act in remote on the infrastructure in case of particular test (for example the acceptance test).
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De wereldwijde energievraag is enorm en blijft stijgen, maar fossiele energiebronnen, waarvan wij nog voor meer dan 80% afhankelijk zijn raken op, voorzieningszekerheid en onafhankelijkheid worden steeds moeilijker te garanderen, en de milieugevolgen van conventionele energieconversiesystemen zijn niet meer aanvaardbaar. Bijna 40% van de Nederlandse energieconsumptie komt voort uit energiegebruik om gebouwen en hun directe omgeving te voorzien van warmte, koude en elektriciteit1. De Europese Unie heeft aangegeven dat in 2020 nieuwbouw energieneutraal moet zijn. In 2050 zou de hele gebouwde omgeving energie neutraal moeten zijn en de CO2-uitstoot zou gereduceerd moeten zijn met 80-95% (t.o.v. 1990). Daarnaast heeft de Nederlandse overheid als doelstelling voor 2020 16% minder CO2-uitstoot, 20% energiebesparing en moet 14% van de energiebehoefte afkomstig zijn van hernieuwbare bronnen.
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Current methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not consistent with process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to very limited application of energy performance diagnosis in practice. In a previous paper, a generic reference architecture – hereafter referred to as the 4S3F (four symptoms and three faults) framework – was developed. Because it is closely related to the way HVAC experts diagnose problems in HVAC installations, 4S3F largely overcomes the problem of limited application. The present article addresses the fault diagnosis process using automated fault identification (AFI) based on symptoms detected with a diagnostic Bayesian network (DBN). It demonstrates that possible faults can be extracted from P&IDs at different levels and that P&IDs form the basis for setting up effective DBNs. The process was applied to real sensor data for a whole year. In a case study for a thermal energy plant, control faults were successfully isolated using balance, energy performance and operational state symptoms. Correction of the isolated faults led to annual primary energy savings of 25%. An analysis showed that the values of set probabilities in the DBN model are not outcome-sensitive. Link to the formal publication via its DOI https://doi.org/10.1016/j.enbuild.2020.110289
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