Product Realization Research Articles

Carbon nanomaterials for efficient oxygen and hydrogen evolution reactions in water splitting: A review

Water splitting has gained significant attention as a means to produce clean and sustainable hydrogen fuel through the electrochemical or photoelectrochemical decomposition of water. Efficient and cost-effective water splitting requires the development of highly active and stable catalysts for the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER). Carbon nanomaterials, including carbon nanotubes, graphene, and carbon nanofibers, etc., have emerged as promising candidates for catalyzing these reactions due to their unique properties, such as high surface area, excellent electrical conductivity, and chemical stability. This review article provides an overview of recent advancements in the utilization of carbon nanomaterials as catalysts or catalyst supports for the OER and HER in water splitting. It discusses various strategies employed to enhance the catalytic activity and stability of carbon nanomaterials, such as surface functionalization, hybridization with other active materials, and optimization of nanostructure and morphology. The influence of carbon nanomaterial properties, such as defect density, doping, and surface chemistry, on electrochemical performance is also explored. Furthermore, the article highlights the challenges and opportunities in the field, including scalability, long-term stability, and integration of carbon nanomaterials into practical water splitting devices. Overall, carbon nanomaterials show great potential for advancing the field of water splitting and enabling the realization of efficient and sustainable hydrogen production.

Intellectual Property Commercialization Policy to Expand Financing Options for Indonesian Creative Economy Businesses

This study aims to develop alternate strategies for completing the creative economy Intellectual Property collateral financing policy so that it may be implemented in Indonesia. The methods used descriptive qualitative research with SWOT analysis to analyze the implementation of Intellectual Property-based financing schemes' supporting and inhibiting factors. The preparation of alternative strategies based on the SWOT matrix produces nine strategies. The nine alternative strategies produced were evaluated and tested using four practical policy analysis criteria: Effectiveness, Efficiency, Legality, and Administrative Robustness. Three primary recommendations emerged from testing alternative approaches: first, a plan to fortify industry regulations related to financial services, which will serve as a model for financial institutions implementing credit provisions based on Intellectual Property collateral and expediting the realization of financing products backed by Intellectual Property Rights. Second, a plan to standard Intellectual Property valuation formula or economic value of Intellectual Property and establish an ecosystem for the Intellectual Property market to promote more consistent Intellectual Property valuations and third, managing credit risk through joint ventures with insurance companies, the debtor will pay the insurance costs that allow the Bank or Financial Institutions to transfer risks to third parties if the Intellectual Property value declines.

The influence of myrcene on anionic copolymerization of 1,3-pentadiene and styrene

C5-dienes including 1,3-pentadiene (PD) and isoprene (IP) as by-products of naphtha cracking are important industrial raw materials for the production of thermoplastic elastomers, synthetic rubber and resins. The research on living anionic polymerization (LAP) of myrcene (MY) is also of great significance for the development of new bio-based materials and products. Focusing on the optimal utilization of C5 resources and the high-value utilization of biomass resources and the realization of green chemical production, this article reports the synthesizing of a novel terpolymer by LAP of PD, styrene (ST) and the biomass monomer MY. The discovery of the alternating sequence structure of ST and PD inspires us to further explore the development of copolymers containing this unique sequence structure. The special long branched side chain of MY and its low glass transition temperature are also conducive to the synthesis of new integrated rubbers. The 1H NMR tracking analysis indicates that the polymerization pattern changes from alternating sequence to gradient block sequence with the increase of MY content. Combined with FTIR analysis, the PD monomeric units are mainly trans-1,4 structure and MY monomeric units are predominant cis-1,4 structure. Considering the extremely high polymerization activity of MY compared to ST and PD, the copolymerization rate is significantly dependent on the concentration of the PD monomer. Despite this, due to the interactions between ST and PD ([ST¦PD] intermediate), ST still tends to form alternating segments with PD. The ternary copolymerization can be viewed as a “binary gradient copolymerization” of [ST¦PD] and MY (rMY > r[ST¦PD]).

Spatial-coupled Ampere-level Electrochemical Propylene Epoxidation over RuO2/Ti Hollow-fiber Penetration Electrodes.

The electrochemical propylene epoxidation reaction (PER) provides a promising route for ecofriendly propylene oxide (PO) production, instantly generating active halogen/oxygen species to alleviate chloride contamination inherent in traditional PER. However, the complex processes and unsatisfactory PO yield for current electrochemical PER falls short of meeting industrial application requirements. Herein, a spatial-coupling strategy over RuO2/Ti hollow-fiber penetration electrode (HPE) is adopted to facilitate efficient PO production, significantly improving PER performance to ampere level (achieving over 80 % PO faradaic efficiency and a maximum PO current density of 859 mA cm-2). The synergetic combination of the penetration effect of HPE and the spatial-coupled reaction sequence, enables the realization of ampere-level PO production with high specificity, exhibiting significant potentials for economically viable PER applications.

The Nazi regime in Lithuania: recovery of agricultural obligations imposed

The purpose of this study is to investigate methods and means of recovery of imposed agricultural obligations. The aim of this paper is to analyse the methods and means for recovery of imposed agricultural obligations in Lithuania, occupied by military forces of Nazi Germany. To achieve the aim, the following objectives have been set: 1) to discuss adaptation of production of agricultural products to meet needs of the war in Lithuania under the Nazi regime; 2) to analyse the methods and means used by occupational Nazi authorities for recovery of agricultural obligations imposed on farmers of Lithuania; 3) to discuss other obligations imposed (other than delivery of agricultural products) on Lithuanian farmers, analyse methods and means for their recovery; 4) submit the exhaustive and reliable statistics on recovery of imposed obligations related to delivery of agricultural products. The topic chosen is a relevant and new one, as this problem has not been presented exhaustively in Lithuanian historiography. First of all, we lack a generalized analysis on the entire Lithuania scale, analysis which must be more detailed, based on archive or reliable statistical data related to practical application of the mechanism of recovery of agricultural obligations (primarily aiming at agricultural products) imposed. This article aims at filling these and other gaps in relevant historiography. During the research the following conclusions have been drawn: 1. In the case of Germany victory in the war, the territories of all Baltic states, including Lithuania, were to be included into the Nazi Reich. During the wartime, the economy of these countries had to serve demands of the Vermacht and meet other Reich needs, irrespective of the interests of the local people and local economies. It had not been planned to create a considerable consumer goods industry. These countries had to be cheap labour sources and base for provision of raw materials, as well as a market for realization of German industry products.2. The essence of the Nazi agricultural policy in the occupied Lithuania meant a unilateral demand to increase production of basic food products and raw materials in order to provide the German troops as well as local residents and Germans in Germany with food products. The Nazi imposed on farmers various obligations related to agricultural products and various equipment (mobilization of horses with carts and harnesses, obligations of manual work and transport, etc.)3. Civil occupational Nazi authorities adapted Lithuanian municipal system to meet their agricultural needs during the wartime. The occupational authorities through threatening the officers of Lithuanian municipal system with penalties and negative consequences related to agriculture and farmers, using the help of Lithuanian officers, managed to recover a huge amount of agriculture products from this country agriculture sector. Whereas Lithuanian municipal officers of higher rank were forced to apply constantly the psychological pressure or even coercion on their own subordinates and colleagues of lower rank.4. In order to recover agricultural obligations fulfilment, the occupants applied both repressive and promoting measures. Among repressive ones, farmer removal from his/her farm should be mentioned as well as requisition of agricultural products, cash penalties, farmers suing with the German Special Court, forcible confining in detention facilities, forced-labour camps or even killing by firing squad. Especially famous for farmers killing by firing squad was H. Wulff, the commissar of Vilnius county district. By killing the farmers, the occupants sought to intimidate the villagers so that they would better fulfil the obligations imposed.5. To perform recovery of fulfilment of imposed agricultural obligations, the following promoting measures used to be applied: issue of ownership documents, granting the possibility of acquisition of industrial goods, etc.6. The Nazi failed to convert Lithuanian farmers into obedient executors of alien will. Due to harsh conditions of the wartime and sabotage of Lithuanian farmers in order to protect their farms from the complete deterioration, occupational government of the Nazi each economic year failed to collect from Lithuanian villages planned agricultural products contingencies irrespective of requisition of the large part of agricultural production of this country.

From resources to capital: Investigating the efficiency of forest ecosystem products value realization in China

Forest resources provide a good ecological environment for human beings and offer economic well-being and benefits. Value realization of ecosystem products reflects the process from resources to capital. This study investigates the two-stage value realization efficiency of China's forest ecosystem products from 2011 to 2021. A parallel nested network Data Envelopment Analysis model is applied to assess product supply and value transformation stages. In addition, the evolution of the spatial pattern is depicted by a multilayer Standard Deviational Ellipse. The results reveal that (1) the overall value realization trend of China's forest ecosystem products shows a fluctuating growth trend, with an average annual efficiency value of 0.86. (2) The efficiency level of the value transformation stage is lower than that of the product supply stage. (3) Regional disparities persist. The efficiency values in East China and South China are higher than that in other regions. (4) The value realization capacity of China's forest ecosystem products may be closely related to national development strategies and policy orientations.

Automatic identification and classification of surface defects in small-sized optics

Abstract Precision optics are widely used in lighting systems, imaging systems, and high-precision inspection equipment. The presence of surface defects in optics can seriously affect the design performance of the equipment, so the optics must be rigorously inspected to eliminate defective optics. Currently, engineering products are moving toward smaller sizes, resulting in smaller optics in them also moving towards smaller sizes. However, realizing the surface defect detection of small-sized optics is a great challenge because it requires micrometer-scale high-resolution image acquisition and automatic detection of defects on their surfaces. A machine learning-based automatic surface defect detection method is proposed for surface defects with many types and small sizes. A dark-field micro-scattering imaging system is used to acquire dark-field images. Then the image segmentation and feature analysis are performed on each image to extract the original feature data, and the original feature data are compressed by reliefF algorithm. Based on the compressed feature data, a classification model is built using a support vector machine. The detection method can classify three kinds of defects, namely, dig, scratch, and scuff mark. The accuracy of the method is up to 98%. The experimental results of this study show that the method can automatically and accurately detect a wide range of micro defects occurring in small-sized optics, thus providing valuable insights into the realization of mass production of small-sized optics. In addition, our proposed method provides some ideas for further research in the field of defect detection in small-sized optics.

Do Psychological Ownership and Communicative Presence Matter? Examining How User-Generated Content in E-Commerce Live Streaming Influences Consumers' Purchase Intention.

E-commerce live streaming has become a lucrative global industry. As the main carrier to convey information in live broadcasting, user-generated content (UGC)-and especially bullet screens-are crucial in influencing users' purchase intentions. However, the influence of bullet screens' multidimensional information characteristics on consumers' decision-making processes requires further exploration. Additionally, most existing studies start with the short-term effects of live product realization, and must address how to enhance customers' psychological ownership using new means of live streaming marketing to obtain long-term sustainable brand-building effects. This study introduces psychological ownership and the communicative presence as mediating variables based on the theory of elaboration likelihood modeling to explore the mechanism of the influence of UGC's multidimensional features on viewers' purchase intentions in live e-commerce broadcasting rooms. We collected 404 valid online questionnaires and tested our hypotheses using structural equation modeling. These findings indicate that UGC emotions, quality, and their interaction significantly and positively affect purchase intentions. Moreover, psychological ownership and the communicative presence mediate UGC's effect on purchase intentions. These results provide a new perspective for understanding consumer behavior in live e-commerce to improve marketing effectiveness of e-commerce live streaming platforms.

Creative-aesthetic product design and tools

Providing a product with characteristics of beauty and creative innovation is one of the aims of any contemporary industry to meet the needs of customers and satisfy their aesthetic and functional requirements. To study the production process and the realisation of creative products with aesthetically pleasing attributes, we created an environment that allows the construction of simple textured polygons (triangles, squares, rhombuses and pentagons) through a software application. To overcome traditional ways of assessing creative products, a Birkhoff aesthetic measure, Euclidean distance and entropy measure have been developed and applied to a sample of smart products, manufactured in the implemented environment, to analyse their aesthetic, creative and order–complexity–chaos features, respectively. The results provided us with measurable quantities of the required qualities for the sample and for each distinct product, combining the metrics to visualise the creative products in 2D and 3D spaces. Further mathematical methods, such as the point process and density probability map applied on the same sample, allowed us to move from a statistical space to probabilistic landscapes, with enhanced forecasting capability on creative features for all future products. Industrial applications are expected in the production and evaluation of products from a creative point of view.

Numerical simulation study on solidification proceoss of titanium slab ingot by electron beam cold hearth melting

Abstract Titanium and titanium alloys are key basic support materials in the field of engineering technology and high technology, and are widely used in the fields of natural gas transportation, chemical corrosion, and marine development. Titanium alloy ingots are often prepared with more solidification defects such as surface cracks and cold shuts, resulting in lower utilization of titanium metal and higher cost of titanium products. The root of this is the lack of in-depth knowledge of the ingot melting and casting process, and the failure to control the thermal conditions of the billet in the molding process within a reasonable range. In this study, based on the Lagrange Euler algorithm, combined with ProCAST finite element software to establish a numerical model, revealing the solid-liquid interface morphology, the length of the transition region, and the change rule of thermal stress under the influence of different process parameters in the solidification process of titanium slab ingot. The results show that with the increase in pulling speed, the depth of the solid-liquid phase line and the width of the mushy zone of slab ingot increase, and the length of the transition region grows. With the increase in casting temperature, the depth of the solid-liquid phase line of the slab ingot decreases, and the mushy zone gradually becomes narrower. The casting temperature and pulling speed are positively correlated with the value of the thermal stress equivalent stress in slab ingots, and the probability of cracks in the corners and ingot surface is higher. This study provides effective theoretical guidance for the realization of stable mass production of high-quality titanium slab ingot.

Key Points of Design and Risk Analysis in Production for Biodegradable Heart Occluder

Biodegradable heart occluder uses a biodegradable medical polymer material to replace or completely replace the metal material. After completing the repair function of the heart defect, the device is gradually degraded and safely absorbed by the human tissue. So it may minimize the risk of long-term complications that traditional metal heart occluder causing in the body after implantation. Based on the quality management concept of the entire lifecycle of medical device, this article briefly introduces design and development, as well as the product realization of biodegradable heart occluder. It analyzes the main risk points in design and production, and corresponding suggestions have been put forward. These suggestions are combined with the medical device good manufacturing practice and the appendix of implantable medical equipment to provide a reference for regulators and industry professionals.

Two-Dimensional NiCo2S4 Nanosheets Deliver Efficient Oxygen Evolution Reaction

Introduction: The development of cost-effective and efficient catalysts plays a pivotal role in the realization of hydrogen production through electrochemical water splitting. Method: In this study, two-dimensional NiCo2S4 nanosheets weresynthesized usinga hydrothermal method followed by a sulfidation process. Results: The resulting materials were thoroughly characterized to understand their morphology and structure. The findings indicate that the NiCo2S4 nanosheets exhibit exceptional electrical conductivity and a high density of pores, which facilitate electrolyte infiltration and interfacial charge transfer during electrochemical reactions. Furthermore, the incorporation of S2− modulates the electronic structure of metal ions, reducing the oxidation potential of metal sites and promoting the surface reconstruction of the electrode to form active species. Electrochemical tests conducted in a 1 M KOH solution using the synthesized catalyst as the working electrode demonstrate an overpotential of merely 280 mV and 300 mV at a current density of 20 mA cm−2 and 40 mA cm−2 , respectively, which are much lower than those of NiCo-LDH electrodes (360 mV and 410 mV). Conclusion: Furthermore, the NiCo2S4 electrode delivers a remarkably low Tafel slope of 47.9 mV dec−1 . This investigation presents a novel approach to the development of efficient transition metal-based electrocatalysts.

Влияние погодных условий на завязываемость семян рапса озимого в условиях центральной зоны Краснодарского края

The purpose of the research was to study the influence of temperature and air moisture, wind velocity, cloud coverage, and precipitation amount on seed set of winter rapeseed in the central zone of the Krasnodar region. The objects of the research were winter rapeseed cultivars Elvis, Loris, Sarmat, Selegor, and Olivin. The conditions of 2022 during flowering period were favourable. The air temperature varied from 14.3 to 18.3 °C, precipitation amounted 12.4 mm, and they did not prevent pollination. The wind velocity in average by ten-day periods was 5.1 m/sec, cloud coverage (32.2%) and air moisture (61.1%) were op-timal both for self-pollination and for pollen transfer by wind and insects. The seed set in average was 81.3%. The weather conditions of 2023 were less fa-vorable. Lowered air temperatures – from 12.2 to 16.1 °C, frequent precipitations – 40 mm, air velocity from 2.8 to 4.7 m/sec, increased cloud coverage – to 85%, and air moisture to 77.3% negatively influenced self-pollination and prevented pollen transfer by wind and insects, and thereby decreased the realization of a potential productivity by 23.9%. The cultivars Sarmat and Selegor demonstrated the highest seed set both in favorable and unfavorable conditions. The cultivar Elvis was less sensitive to weather changes during flowering. The variation of a trait of seed set in favorable conditions was insignificant (CV = 2.4–7.1%). Changing of a trait of seed set in a pod to highly variable (CV = 11.7–28.3%) in 2023 certifies the genotype selection with high seed set ability is able only in unfavorable for pollination weather con-ditions.

Dual-loaded nano pesticide system based on industrial grade scaleable carrier materials with combinatory efficacy and improved safety

Repeated and widespread use of single chemical pesticides raises concerns about efficiency and safety, developing multi-component synergistic pesticides provides a new route for efficient control of diseases. Most commercial compound formulations are open systems with non-adjustable released rates, resulting in a high frequency of applications. Meanwhile, although nano pesticide delivery systems constructed with different carrier materials have been extensively studied, realizing their actual scale-up production still has important practical significance due to the large-scale field application. In this study, a boscalid and pyraclostrobin dual-loaded nano pesticide system (BPDN) was constructed with industrial-grade carrier materials to facilitate the realization of large-scale production. The optimal industrial-scale preparation mechanism of BPDN was studied with surfactants as key factors. When agricultural emulsifier No.600 and polycarboxylate are used as the ratio of 1:2 in the preparation process, the BPDN has a spherical structure with an average size of 270 nm and exhibits superior physical stability. Compared with commercial formulation, BPDN maintains rate-stabilized release up to 5 times longer, exhibits better dispersion and spreading performance on foliar, has more than 20% higher deposition amounts, and reduces loss. A single application of BPDN could efficiently control tomato gray mold during the growing period of tomatoes due to extended duration and combinatory effectiveness, reducing two application times and labor costs. Toxicology tests on various objects systematically demonstrated that BPDN has improved safety for HepG2 cells, and nontarget organism earthworms. This research provides insight into creating safe, efficient, and environmentally friendly pesticide production to reduce manual operation times and labor costs. Accompanied by production strategies that can be easily scaled up industrially, this contributes to the efficient use of resources for sustainable agriculture.

A Biomimetic Sketch-Based Form Finding Tool

Sketches play a fundamental role in the design disciplines, serving as crucial representations for ideation, problem-solving, and communication. In the realm of architecture, sketches encapsulate the evolution of ideas from conceptualization to construction. Hand-drawn sketches, characterized by their open-ended, ambiguous nature and rapid production, stand out as indispensable tools in bridging the gap between abstract concepts and tangible designs, guiding the progression from early design stages to final product realization. However, despite their significant potential and pivotal role in the design process, hand sketches have often been overlooked and swiftly abandoned in the ongoing discourse surrounding traditional versus digital design methodologies, particularly with the widespread integration of computer technologies. This study endeavors to unlock the wealth of information embedded within hand sketches, spanning from initial design concepts to intricate manufacturing details, through the utilization of a hybrid digital form-finding tool. By employing swarm algorithms in the quest for form, it is anticipated that the boundaries of conceptual ideas delineated by hand sketches will be expanded. This is facilitated by an algorithm developed in Processing using the Java coding language, complemented by an intuitive interface. The research journey commences with a comprehensive literature review encompassing biomimetics, sketching techniques, and tools for transitioning hand sketches into digital realms. Subsequently, a thorough elucidation of the algorithm, crafted within the Processing environment, is provided.The efficacy of the tool is assessed through experimentation involving adjustments of various parameters on identical sketches, as well as application to seven architectural sketches representing built designs, with subsequent interpretation of the outcomes. It is posited that the adaptability of the algorithm's core logic, coupled with the development-friendly environment of Processing, holds immense potential for empowering designers to steer sketches in desired directions through tailored enhancements.

MoO3/V2O5/Ni(OH)2 with multiple heterojunction interfaces for the hydrogen preparation from urea-containing wastewater

Compared to a single heterostructure, constructing multiple heterojunction interfaces to enhance bifunctional catalytic activity still faces challenges. Herein, a nanoflower-like electrocatalyst with multiple heterojunction interfaces, which consists of MoO3, V2O5, and Ni(OH)2 in-situ grown on nickel foam, is prepared through a one-step hydrothermal method (MoO3/V2O5/Ni(OH)2/NF, named MVN/NF). The MVN/NF exhibits superior catalytic performance, attributable to enhanced electron transfer facilitated by numerous heterojunction interfaces, a substantial active specific surface area, and a self-supported architecture. It requires low potentials for hydrogen evolution reaction, urea oxidation reaction, and overall urea electrolysis of 81 mV, 1.351 V, and 1.450 V (vs. RHE), respectively, to reach a current density of 10 mA cm-2. By cutting the material into a large-scale electrode for use in an alkaline electrolyzer, its Faraday efficiency was 90.0%, and the urea decomposition rate reached 45.1%. This work offers broad application prospects for the realization of large-scale hydrogen production and the decomposition of urea-containing wastewater.

P‐161: Full‐in‐situ Imaging and Laser Processing System Supporting Detection and Removal of Defective Micro‐LED Dies During Mass Transfer

Micro‐LEDs have been hailed as the next‐generation display technology, with mass transfer being the key to achieving mass production of Micro‐LED displays. During the mass transfer process, it is crucial to identify and remove defective dies in order to ensure high yield and optimal display performance. In this paper, a novel in‐situ observation, imaging, and laser processing system is proposed, enabling online, in‐situ, and zero‐misalignment removal of faulty dies during the mass transfer process. This system holds great promise for significantly improving the efficiency of mass transfer and further driving the realization of mass production for Micro‐LED displays.

Управление образовательным процессом субъектов креативных индустрий

The article delineates a number of characteristic features in managing the educational process within the realm of creative industries. They are defined according to the essential features of the key concepts “educational process management” and “subjects of creative industries”. They encompass a range of common traits, including issues of management organization levels, functions, methods, principles, etc. The fundamental distinctions of these components are predominantly shaped by the specific nature of creative industries subjects’ activities in the educational sphere, which typically unfold non-linearly and under conditions of high risk, uncertainty, and complexity in predicting outcomes. This is a sphere of activity oriented towards systemic innovation implementation, seeking and utilizing opportunities to satisfy human desires and needs through the realization of unique educational products, including those in the realm of additional education for both children and adults. The outcome here entails the creation, promotion, and dissemination and/or implementation of creative products in the field of additional education. In conclusion, the management of educational processes in creative industries requires a nuanced understanding of the unique challenges and opportunities inherent in this domain. By leveraging flexible and adaptive management strategies, educators and industry stakeholders can foster creativity, innovation, and collaboration, thereby enriching the educational experience and driving positive outcomes for all stakeholders involved. Further research is needed to explore specific management approaches and interventions tailored to the evolving needs of creative industries education.

Production Forecasting at Natural Gas Wells

In Romania, natural gas production is concentrated in two large producers, OMV Petrom and Romgaz. However, there are also smaller companies in the natural gas production area. In these companies, the deposits are mostly mature, or new deposits have low production capacity. Thus, the production forecast is very important for the continued existence of these companies. The model is based on the pressure variation in the gas reservoir, and the exponential model with production decline is currently used by gas and oil producers. Following the variation in the production of the gas wells, we found that in many cases, the Gaussian and Hubbert forecast models are more suitable for simulating the production pattern of gas wells. The models used to belong to the category of poorly conditioned models, with little data, usually called gray models. Papers published in this category are based on data collected over a period of time and provide a forecast of the model for the next period. The mathematical method can lead to a very good approximation of the known data, as well as short-term forecasting in the continuation of the time interval, for which we have these data. The neural network method requires more data for the network learning stage. Increasing the number of known variables is conducive to a successful model. Often, we do not have this data, or obtaining it is expensive and uneconomical for short periods of possible exploitation. The network model sometimes captures a fairly local pattern and changing conditions require the model to be remade. The model is not valid for a large category of gas wells. The Hubbert and Gauss models used in the article have a more comprehensive character, including a wide category of gas wells whose behavior as evolutionary stages is similar. The model is adapted according to practical observations by reducing the production growth period; the layout is asymmetric around the production peak; and the production range is reduced. Thus, an attempt is made to replace the exponential model with the Hubbert and Gauss models, which were found to be in good agreement with the production values. These models were completed using the Monte Carlo method and matrix of risk evaluation. A better appreciation of monthly production, which is an important aspect of supply contracts, and cumulative production, which is important for evaluating the utility of the investment, is ensured. In addition, we can determine the risk associated with the realization of production at a certain moment of exploitation, generating a complete picture of the forecast over the entire operating interval. A comparison with production results on a case study confirms the benefits of the forecasting procedure used.

A multi-criteria decision-making model to determine the optimal share of variable renewable energy sources in a wholesale electricity market

In recent years, the development of renewable energy technologies has gotten increasing attention due to the realization of cleaner production and high energy efficiency. Therefore, the proportion of these resources in electricity production has experienced a dramatic increase. However, with the features of intermittent nature and merit order effects, it is challenging to effectively optimize the integration of renewable energy sources (RES) into the electricity markets. To deal with the complex problem of selecting the proportionate share of non-dispatchable RES for participation in the market, this paper establishes a multi-criteria decision-making (MCDM) framework, which combines the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). Five criteria are defined and the corresponding mathematical model is solved by the proposed AHP-SAW method. In this way, the optimal share of renewable resources for participation in the wholesale market can be determined based on the desired criteria. Also, to compare the results obtained by the AHP-SAW method, the criteria weights are determined by Shannon entropy, and the problem is solved by the TOPSIS method. To assert the effectiveness of the proposed framework, two case studies are done. According to the results, by increasing the RES penetration level, the average price of the market decreases mildly while price volatility increases significantly . Also, the amount of forward contracts is decreased when the RES share increases. Moreover, the results show that a high amount of RES is not necessarily desirable and depends on the type of renewable resources and policymakers' priorities. The results for systems 1 and 2 indicate that the maximum allowable amount of RES are 85.359 and 38.24 MW, respectively.