名古屋大学 · 工学
ミール・サイエド・シャー・ダニッシュ教授の研究室は、環境浄化と持続可能なエネルギー技術の両分野に焦点を当てた先端的研究を推進しています。特に、金属酸化物ナノ粒子を用いた水中汚染物質の光分解処理や、グリーン合成による環境に優しいナノ材料の開発が主な研究テーマです。また、人工知能を活用したエネルギーシステムの最適化と、循環型経済に基づいた政策フレームワークの構築についても革新的な研究を展開しています。
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Along with industrialization and rapid urbanization, environmental remediation is globally a perpetual concept to deliver a sustainable environment. Various organic and inorganic wastes from industries and domestic homes are released into water systems. These wastes carry contaminants with detrimental effects on the environment. Consequently, there is an urgent need for an appropriate wastewater treatment technology for the effective decontamination of our water systems. One promising approach i
Energy is the fundamental requirement of all physical, chemical, and biological processes which are utilized for better living standards. The toll that the process of development takes on the environment and economic activity is evident from the arising concerns about sustaining the industrialization that has happened in the last centuries. The increase in carbon footprint and the large-scale pollution caused by industrialization has led researchers to think of new ways to sustain the developmen
The energy sector is enduring a momentous transformation with new technological advancements and increasing demand leading to innovative pathways. Artificial intelligence (AI) is emerging as a critical driver of the change, offering new ways to optimize energy systems operations, control, automation, etc. Developing a competitive policy framework aligned with circular economy practices to adapt to the trends of the rapid revolution is crucial, shaping the future of energy and leading the sector
Increasing demand for electricity and the modernization of power systems within competitive markets has induced power systems to operate close to their stability limits. Therefore, the continuous monitoring and control of power systems through voltage stability indices is urgently needed. This is the first-ever effort to examine more than 40 voltage stability indices based on their formulation, application, performance, and assessment measures. These indices are sorted based on a logical and chr
Among the most notable nanotechnology applications is its employment in environmental remediation and biomedical applications. Nonetheless, there is a need for cleaner and sustainable methods in preparing nanomaterials that use cheaper, more environment-friendly precursors than the conventional synthesis process. The green chemistry approach for the preparation of nanoparticles is becoming more attractive as it uses non-toxic chemicals and reagents. It also offers cost-effective synthesis proces
The present time is a seminal decade for the transition of the energy sector through the deployment of green energy and the optimization of efficiencies using the power of automation and artificial intelligence (AI), which demands competitive policies to handle multidimensional endeavors via a single platform. The failure of energy policies can have far-reaching socioeconomic consequences when policies do not meet the energy and climate goals throughout the lifecycle of the policy. Such shortcom
As the global energy landscape transitions towards a more diversified mix, with electricity and hydrogen constituting half of the final energy consumption by 2050, the focus on efficient and sustainable hydrogen production intensifies.
Aquaponics systems and technologies are growing primary industries in many countries, with high environmental and socio-economic advantages. Aquaponics is a closed-loop system that produces aquatic animals and plants in a new way using recirculated water and nutrients. With a growing world population expected to reach 9.7 billion by 2050, food production sustainability is a primary issue in today’s world agenda, and aquaponics and aquaculture systems can be potential contributors to the challeng
Besides many sectors, artificial intelligence (AI) will drive energy sector transformation, offering new approaches to optimize energy systems’ operation and reliability, ensuring techno-economic advantages. However, integrating AI into the energy sector is associated with unforeseen obstacles that might change optimistic approaches to dealing with AI integration. From a multidimensional perspective, these challenges are identified, categorized based on common dependency attributes, and finally,
The energy utility sector’s transition to an automated and managed energy endeavor in term of microgrid has hastened around the globe. Referring to the literature, the microgrid had been a matter of focus since decades ago. An exhaustive and customized project management methodology (framework) for microgrid projects can assure successful implementation and reliable operation. Such framework indispensably requires a multi-disciplinary investigation to cover technical, managerial, and sustainabil
The recent global trend in automation and smartness has boosted the need for innovation in microgrid that led to a renewed interest in researches and innovations in this context. This paper steers a plenary counseling and discussion in the context of microgrid planning and design for academia, industry, planners, utility operators, regulators, policymakers to disseminate the recent innovation and available barriers ahead of a microgrid in the 21st century. Most published researches on microgrid
Within the framework of this study, the inductive analysis of voltage stability indices’ theoretical formulation, functionality, and overall performances are introduced. The prominence is given to investigate and compare the original indices from three main dimensions (formulation, assessment, and application) standpoints, which have been frequently used and recently attracted. The generalizability of an exhaustive investigation on comparison of voltage stability indices seems problematic due to
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