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All Journal Palmyra Fiber as Additional Materials on Solid Concrete Brick of Aggregate Jurnal Ilmiah Ilmu Terapan Universitas Jambi Journal of Emerging Science and Engineering
Vyshka, Eli
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Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Logistic as a Factor to Improve the Integrated Transport and Environmentally Acceptable Vyshka, Eli; Hajderi, Asllan
Mediterranean Journal of Social Sciences Vol. 3 No. 5 (2012): Special Issue
Publisher : Richtmann Publishing

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Abstract

The work presented takes in consideration the impact of policies (master) to the state in management of existing infrastructureand the combination of types of transport with the aim of making the environmentally friendly transportation with the climate andresources. The purpose of this document is to provide a summary of transport modeling methodology and results provided to traffic. Thetool used for this project was the city of Tirana, calibrated according to the base year 2007. The model was developed for conductingregional transportation analysis. Material argues that spatial distribution of social networking in combination with the establishment ofhousing choices will be a major factor in increasing the distinct travel miles. The conceptual framework for the day-to-day dynamics isbased on the rhythmic patterns for the need of accumulation and their satisfaction through activities and long-terms projects. Model,through cargo transport (number of vehicles is expected to grow about 9 times) of data on population (which is expected to grow by57%), economic development and travel behavior predicts the development of traffic conditions in the future (which yields 37%higher). These projections are a tool to be used by planners to identify types of transport investments that will be more effective inreducing congestion, improving travel times, as well as meeting the objectives of the Metropolitan Transportation Plan (MTP).
Technical Publication for Vehicle Users in Support of Environmental Pollution Reducing Hajderi, Asllan; Vyshka, Eli
Mediterranean Journal of Social Sciences Vol. 3 No. 5 (2012): Special Issue
Publisher : Richtmann Publishing

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Abstract

In this study, it is addressed the problem of reducing pollution through the use of technical publications for vehicle users.They will inform the user in terms of vehicle choice with the lesser degree of pollution and recognition of ways for reducing of thepollution level for vehicles in use. Also provision of knowledge on damage that vehicle gases cause on human health will lead toincreased interest in knowing the ways and new technologies in terms of reducing pollution from vehicles, which they use. Below it isshown the analysis of pollutant emissions that vehicles generate in the atmosphere, depending on years of production according tomanufacturing factory, for the years 1992-2009. While it is shown the current situation of the structure of vehicles in Albania, from whichresults, that dominate vehicles manufactured before 1996 at over 70%. From the study it results, that if the vehicles in circulation will beonly produced vehicles after 2000-2005, the pollution level reduction in urban centers will be reduced at least 3 times. At the bottom it isanalyzing the impact of technical maintenance of vehicles, to their pollution level. Results show that a bad technical maintenance of thevehicle during use, could lead to the growth of polluting emissions by 3 times compared to standards. For this the methods used todayto maintain engine performance and emission reduction of vehicles in use are shown. Subsequently it is shown that providing technicalmaintenance of vehicles in circulation will become through technical publications and environmental additional tax and therefore we willachieve a reduction of the pollution level in urban areas over 2 times.
Risk management in the energy sector: Challenges, strategies, and regulatory frameworks in Western Balkans as Albania case study Hyna, Eva; Vyshka, Eli
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e46

Abstract

The energy sector, characterized by substantial capital investments, long-term projects, volatile commodity prices, and increasing environmental concerns, faces a complex and evolving landscape of risks (Kaarle Parikka, 2024). This article examines the key challenges in effective risk management within this critical sector, ranging from operational disruptions and geopolitical instability to the impacts of the energy transition and climate change. It explores diverse risk management strategies employed by energy companies, including advanced forecasting techniques, hedging instruments, diversification, and robust emergency response plans. Furthermore, the paper analyzes the crucial role of regulatory frameworks at national and international levels in shaping risk management practices and promoting resilience across the energy value chain in Western Balkans having Albania as case study. By synthesizing current trends and best practices, this article provides valuable insights for energy stakeholders seeking to navigate uncertainty and ensure sustainable and secure energy supply.
UTILIZING ARTIFICIAL INTELLIGENCE IN ENERGY MANAGEMENT SYSTEMS TO IMPROVE CARBON EMISSION REDUCTION AND SUSTAINABILITY Tabaku, Eda; Vyshka, Eli; Kapçiu, Rinela; Shehi, Alban; Smajli, Ensi
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 1 (2025): Volume 9, Nomor 1, March 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i1.38665

Abstract

This article examines the revolutionary potential of artificial intelligence (AI) in improving energy management systems (EMS) to reduce carbon emissions and tackle pressing climate change issues. We conduct a comprehensive literature analysis to analyze AI-driven solutions for optimizing energy usage, minimizing carbon footprints, and promoting sustainability across diverse industries. Conventional EMS methodologies often depend on static and reactive strategies, limiting their efficacy in the face of increasing global energy needs and regulatory requirements. Conversely, AI-driven EMS provides sophisticated data analytics, predictive maintenance, and real-time optimization, markedly enhancing efficiency and emissions control. Our research includes case studies from both industrial and public sectors that illustrate the quantifiable effects of AI-integrated Energy Management Systems in reducing operating expenses, improving renewable energy integration, and fostering better energy practices. Significant hurdles, such as elevated implementation costs, data privacy issues, and regulatory compliance, are examined with prospective legislative frameworks to promote AI use. We underscore the significance of AI in delivering actionable insights, harmonizing energy practices with climate policy, and promoting a sustainable energy future. This study concludes that AI-driven Energy Management Systems are essential for significant emissions reductions and the development of resilient, eco-efficient energy systems, highlighting the necessity for strategic investment and supportive policies to optimize AI technology's societal and environmental advantages in energy management.
Co-Authors Hajderi, Asllan Hyna, Eva Kapçiu, Rinela Shehi, Alban Smajli, Ensi Tabaku, Eda