• Energy Research

The purpose of the study is to identify the ways to improve the public acceptance for nuclear energy investment in energy importing countries. In this framework, 4 different factors are identified that have an influence on this situation. After that, consensus model is applied for obtaining the fuzzy preference relations at the most consistency level. Next, the criteria are weighted by using DEMATEL (Decision Making Trial and Evaluation Laboratory) methodology based on the Spherical fuzzy sets. Additionally, another evaluation has also been made by considering the Pythagorean fuzzy sets to check the consistency and coherency of the analysis results. It is identified that the results of both Spherical and Pythagorean fuzzy sets are almost the same. This situation gives information about the consistency of the analysis results. Also, sensitivity analysis is also applied by using the different values of $\delta $ with 4 cases. It is determined that there is significant coherency in the consensus-based group decision-making process. The findings indicate that security conditions play the most crucial role to improve the public acceptance for nuclear energy investments in energy importing countries. In addition, it is also identified that economic benefit and environmental issues also have importance influence on this situation. It is recommended that countries should be able to convince their citizens that nuclear energy is safe. Within this context, necessary measures should be taken for security in nuclear power plants and this situation should be clearly explained to citizens. It is obvious that priority should be mainly given to the security issues to improve public perception of nuclear energy investments in energy importing countries. One of the issues most worried by the public is the possibility of an explosion of the nuclear reactor. Hence, for this purpose, the nuclear power plant should be open to international inspection.

AbstractThis paper introduces a tool for new service development in the context of emerging economies. For this aim, two-stage decision making model is applied for measuring the new service development-enhanced sustainable growth of emerging economies. At the first stage, bipolar q-ROF M-SWARA with golden cut is used for weighting the new service development process. At the second stage, bipolar q-ROF ELECTRE with golden cut is employed for illustrating the impact-relation map of sustainable growth determinants with respect to the new service development process for emerging economies. The novelties of this study are to construct a novel decision-making approach by using the bipolar q-ROFSs and golden cut and to figure out the influencing degrees and directions of sustainable growth determinants for emerging economies. It is also determined that testing has the highest significance while creating a new service for sustainable growth. Ranking results also demonstrate that qualified organizational teams and equipment is the most critical factor regarding innovative service process-based sustainable growth. It is necessary to adapt current technological developments to new products to be developed for sustainable growth. In this context, technological advances for these products should be followed carefully. In this process, it would be appropriate for companies to reach this goal by employing qualified personnel.

Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective waste management strategies in the service industry. For this purpose, a novel fuzzy decision-making model is proposed that has two different stages. In this context, six JCI-based indicators are weighted by using sine trigonometric fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology. Additionally, a comparative evaluation has also been conducted with sine trigonometric fuzzy Criteria Importance Through Intercriteria Correlation (CRITIC) technique to check the reliability of the findings. On the other hand, five different strategy alternatives are selected by considering the principles of the integrated waste management hierarchy approach. These items are evaluated by considering sine trigonometric fuzzy Technique for Order Preference by Similarity (TOPSIS). On the other side, these factors are also ranked with the help of sine trigonometric fuzzy Additive Ratio Assessment (ARAS) to test the consistency of the results. The main contribution is that prior strategies can be presented to the hospitals to have appropriate waste management process by defining the most important factors. Criteria weighting and alternative ranking results are the same in all combinations. Therefore, it is seen that the proposed model creates coherent and consistent results. It is defined that efficient storage of waste is the key issue to have effective waste management process. Moreover, ‘reduce’ is found as the most critical stage of this process.

La industria de la aviación daña el medio ambiente principalmente a través de la creación de emisiones de carbono. Por lo tanto, es necesario tomar medidas para garantizar la sostenibilidad ambiental de la industria de la aviación, como el reciclaje de productos de desecho, la gestión eficaz de los residuos y la introducción de medidas de eficiencia energética. Sin embargo, al mismo tiempo, la implementación de mejoras para remediar tales problemas conduce a la creación de costos adicionales para las compañías de aviación. Por lo tanto, las empresas deben realizar análisis prioritarios exhaustivos sobre la estrategia óptima para la sostenibilidad de la industria de la aviación. Sin embargo, hay un número muy limitado de estudios en la literatura que se centraron en qué enfoque debe priorizarse. En consecuencia, este estudio tuvo como objetivo la evaluación de la viabilidad de invertir en las llamadas medidas de vuelo verde en la industria de la aviación, para lo cual se creó un modelo de toma de decisiones completamente original. En primer lugar, se ponderaron las diversas prioridades estratégicas y se ilustraron las direcciones de relación de impacto entre ellas con el objetivo de identificar posibles influencias por medio de una metodología de análisis de relación de evaluación de peso multipaso (M-SWARA) que incorpora conjuntos difusos de ortopares de escalón q bipolares (q-ROFS) y corte dorado. En segundo lugar, se clasifican las diversas actividades de vuelo y se determinan los impactos potenciales de estas actividades en términos de las prioridades estratégicas de una industria de aviación sostenible que emplea q-ROF como técnica de eliminación y elección de realidad traslacional (ELECTRE). Todos los cálculos también se calcularon con conjuntos difusos intuicionistas (IFS) y conjuntos difusos pitagóricos (PFS) destinados a verificar la validez de los hallazgos. El análisis concluyó que, si bien la eficiencia energética comprende el factor más importante en términos de inversión estratégica prioritaria para la industria de la aviación basada en la economía circular, la respuesta a emergencias constituye la actividad más crucial de la industria. Se debe priorizar la eficiencia operativa para disminuir la cantidad de combustible consumido, en relación con qué rutas de vuelo se deben planificar de acuerdo con las condiciones climáticas actuales, lo que serviría para acortar los tiempos de vuelo y, por lo tanto, ayudar a aumentar la eficiencia energética. Tal enfoque contribuiría positivamente a minimizar las emisiones de carbono destinadas a garantizar la sostenibilidad de la industria de la aviación. L'industrie aéronautique nuit à l'environnement principalement par la création d'émissions de carbone. Par conséquent, des mesures doivent être prises pour assurer la durabilité environnementale de l'industrie aéronautique, telles que le recyclage des déchets, la gestion efficace des déchets et l'introduction de mesures d'efficacité énergétique. Cependant, dans le même temps, la mise en œuvre d'améliorations pour remédier à ces problèmes entraîne la création de coûts supplémentaires pour les compagnies aériennes. Les entreprises doivent donc mener des analyses prioritaires complètes concernant la stratégie optimale pour la durabilité de l'industrie de l'aviation. Cependant, il existe un nombre très limité d'études dans la littérature qui se sont concentrées sur l'approche à privilégier. En conséquence, cette étude visait à évaluer la viabilité d'investir dans des mesures dites de vol vert dans l'industrie de l'aviation, pour lesquelles un modèle de prise de décision tout à fait original a été créé. Tout d'abord, les différentes priorités stratégiques ont été pondérées et les directions de relation d'impact entre elles illustrées visaient à identifier les influences potentielles au moyen d'une méthodologie d'analyse du rapport d'évaluation du poids par étapes multiples (M-SWARA) qui intègre des ensembles flous d'orthopaires bipolaires q-rung (q-ROFS) et une coupe dorée. Deuxièmement, les différentes activités de vol sont classées et les impacts potentiels de ces activités sont déterminés en fonction des priorités stratégiques d'une industrie aéronautique durable utilisant q-ROF comme technique d'élimination et de traduction des choix (ELECTRE). Tous les calculs ont également été calculés avec des ensembles flous intuitionnistes (IFS) et des ensembles flous pythagoriciens (PFS) visant à vérifier la validité des résultats. L'analyse a conclu que si l'efficacité énergétique constitue le facteur le plus important en termes d'investissement stratégique prioritaire pour l'industrie de l'aviation basée sur l'économie circulaire, l'intervention d'urgence constitue l'activité la plus cruciale de l'industrie. L'efficacité opérationnelle doit être priorisée pour réduire la quantité de carburant consommée, en relation avec laquelle les itinéraires de vol doivent être planifiés en fonction des conditions météorologiques actuelles, ce qui permettrait de raccourcir les temps de vol et, ainsi, d'augmenter l'efficacité énergétique. Une telle approche contribuerait positivement à minimiser les émissions de carbone afin d'assurer la durabilité de l'industrie de l'aviation. The aviation industry harms the environment mainly via the creation of carbon emissions. Hence, action needs to be taken to ensure the environmental sustainability of the aviation industry such as the recycling of waste products, effective waste management and the introduction of energy efficiency measures. However, at the same time, the implementation of improvements to remediate such problems leads to the creation of additional costs for aviation companies. Companies thus need to conduct comprehensive priority analyses regarding the optimum strategy for the sustainability of the aviation industry. However, there is a very limited number of studies in the literature that focused on which approach should be prioritized. Accordingly, this study aimed at the assessment of the viability of investing in so-called green flight measures in the aviation industry, for which a completely original decision-making model was created. Firstly, the various strategic priorities were weighted and the impact-relation directions between them illustrated aimed at the identification of potential influences by means of a multi stepwise weight assessment ratio analysis (M-SWARA) methodology that incorporates bipolar q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. Secondly, the various flight activities are ranked, and the potential impacts of these activities determined in terms of the strategic priorities of a sustainable aviation industry employing q-ROF as the elimination and choice translating reality (ELECTRE) technique. All the calculations were also computed with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs) aimed at verifying the validity of the findings. The analysis concluded that while energy efficiency comprises the most important factor in terms of strategic priority investment for the circular economy-based aviation industry, emergency response makes up the most crucial activity in the industry. Operational efficiency must be prioritized to decrease the amount of fuel consumed, in connection with which flight routes should be planned according to current weather conditions, which would serve to shorten flight times and, thus, help to increase energy efficiency. Such an approach would make a positive contribution to minimizing carbon emissions aimed at ensuring the sustainability of the aviation industry. تضر صناعة الطيران بالبيئة بشكل رئيسي من خلال خلق انبعاثات الكربون. وبالتالي، يجب اتخاذ إجراءات لضمان الاستدامة البيئية لصناعة الطيران مثل إعادة تدوير منتجات النفايات والإدارة الفعالة للنفايات وإدخال تدابير كفاءة الطاقة. ومع ذلك، في الوقت نفسه، يؤدي تنفيذ التحسينات لمعالجة مثل هذه المشاكل إلى خلق تكاليف إضافية لشركات الطيران. وبالتالي تحتاج الشركات إلى إجراء تحليلات شاملة للأولويات فيما يتعلق بالاستراتيجية المثلى لاستدامة صناعة الطيران. ومع ذلك، هناك عدد محدود للغاية من الدراسات في الأدبيات التي ركزت على النهج الذي ينبغي إعطاء الأولوية له. وبناءً على ذلك، هدفت هذه الدراسة إلى تقييم جدوى الاستثمار في ما يسمى بتدابير الطيران الأخضر في صناعة الطيران، والتي تم من أجلها إنشاء نموذج أصلي تمامًا لصنع القرار. أولاً، تم ترجيح الأولويات الاستراتيجية المختلفة وتم توضيح اتجاهات علاقة التأثير بينها بهدف تحديد التأثيرات المحتملة عن طريق منهجية تقييم نسبة الوزن متعدد الخطوات (M - SWARA) التي تتضمن مجموعات ضبابية لتقويم العظام ثنائية الأقطاب (q - ROFSs) والقطع الذهبي. ثانيًا، يتم تصنيف أنشطة الطيران المختلفة، ويتم تحديد الآثار المحتملة لهذه الأنشطة من حيث الأولويات الاستراتيجية لصناعة الطيران المستدامة التي تستخدم q - ROF كأسلوب للتخلص من الواقع وترجمته (ELECTRE). تم حساب جميع الحسابات أيضًا باستخدام مجموعات غامضة بديهية (IFSs) ومجموعات غامضة فيثاغورية (PFSs) تهدف إلى التحقق من صحة النتائج. وخلص التحليل إلى أنه في حين أن كفاءة الطاقة تشكل العامل الأكثر أهمية من حيث الاستثمار ذي الأولوية الاستراتيجية لصناعة الطيران القائمة على الاقتصاد الدائري، فإن الاستجابة للطوارئ تشكل النشاط الأكثر أهمية في هذه الصناعة. يجب إعطاء الأولوية للكفاءة التشغيلية لتقليل كمية الوقود المستهلكة، فيما يتعلق بتخطيط مسارات الطيران وفقًا للظروف الجوية الحالية، مما سيعمل على تقصير أوقات الطيران، وبالتالي المساعدة في زيادة كفاءة الطاقة. ومن شأن هذا النهج أن يسهم إسهاما إيجابيا في التقليل إلى أدنى حد من انبعاثات الكربون التي تهدف إلى ضمان استدامة صناعة الطيران.

Bu çalışmanın amacı yeşil hastanelerin gelişimi için önem arz eden stratejik unsurların belirlenmesidir. Bu kapsamda, ilk olarak detaylı bir literatür taraması gerçekleştirilmiştir. Yapılan bu incelemeler sayesinde, enerji bazlı dört farklı faktör tespit edilmiştir. Bu kriterler karbon emisyonunun azaltılması, temiz enerji kullanımı, enerji verimliliğinin sağlanması ve düşük enerji tüketen ekipmanların seçilmesi şeklindedir. Bu kriterler arasından en önemlilerinin tespit edilebilmesi için DEMATEL yöntemiyle bir analiz gerçekleştirilmiştir. Sonuç olarak, yeşil hastanelerin gelişebilmesi için en fazla önem arz eden kriter temiz enerji kullanımıdır. Ayrıca, karbon emisyonunun azaltılması da önem arz eden diğer önemli bir faktördür. Elde edilen bu sonuçlardan anlaşılabileceği üzere, hastanelerin temiz enerji kullanımına acilen geçmeleri gerekmektedir. Bu süreçte, küçük ölçekli güneş panelleri dikkate alınabilmektedir. Bu paneller sayesinde, hastaneler hem kendi enerjilerini üretebilmekte hem de kullanılan enerji çevre dostu olabilmektedir. Bu bağlamda, yapılacak kapsamlı araştırma ve geliştirme çalışmaları sayesinde, bu enerji türlerinin maliyetlerinin düşürülebilmesi mümkün olabilecektir. Belirtilen bu hususa ek olarak, vergi indirimi ve düşük faizli kredi kullanımı gibi devlet teşvikleri sayesinde, küçük ölçekli güneş panellerinin maliyet avantajı elde edebilmesi mümkün olabilecektir.

The purpose of this study is to examine optimal solar module investments. Firstly, key determinants of the performance of solar energy investments are evaluated by DEMATEL method with the 2-tuple IVIF sets. Moreover, the cell material alternatives for solar module investments are also ranked. For this purpose, an evaluation has been made by 2-tuple IVIF TOPSIS. The contributions of the paper are performing a priority analysis to understand the most significant factors to increase solar energy projects and creating an original model by the integration of DEMATEL and TOPSIS with the 2-tuple IVIF sets. The findings denote that crystalline silicon is the optimal solar panel module to increase the performance of these projects. In the short term, government subsidies can provide cost advantages to solar energy investors. It is not a very continuous practice to try to increase these projects only with government supports. The costs of solar energy projects should be reduced to solve this problem permanently. Owing to new technological developments, high cost problem of solar energy investments can be handled more successfully.