Conference Agenda

This study analyzes the impact of Artificial Intelligence (AI) on reducing environmental pollution in the field of civil engineering. With a growing focus on sustainability and environmental protection, AI offers innovative methods to decrease resource usage, waste generation, and pollution in construction and urban development. The study examines various applications of AI, such as resource optimization, waste reduction, energy efficiency, smart infrastructure, and real-time environmental pollution monitoring. Through advanced algorithms, AI can process large volumes of data to predict material wear and plan preventive maintenance, minimizing the need for frequent replacements.

Key findings indicate that AI promotes sustainability by improving material use, optimizing recycling processes, and reducing energy consumption in buildings and infrastructure. For example, AI can automatically adjust HVAC systems in buildings to maximize energy efficiency by considering occupancy and weather conditions. Additionally, it enables precise monitoring and forecasting of pollution, facilitating timely interventions. Despite its potential, the widespread implementation of AI faces significant challenges such as high costs, lack of standardized data, and resistance to technological adoption. The study concludes that despite these challenges, AI has great potential to foster environmentally sustainable practices, and overcoming these barriers will be crucial for its broader adoption in civil engineering.

The Unidades Tecnológicas de Santander, a higher education institution in Colombia, within its academic offer, presents the Environmental Engineering program, from this, in the last 10 years, through undergraduate projects of students, began to develop different strategies for institutional environmental management, addressing specific environmental aspects, but worked as particular disjointed actions. In 2022, these instruments were consolidated as the Institutional Environmental Sustainability Plan, PSAI. Its construction occurred as an evolutionary process, in 2018 the Institutional Environmental Identity Matrix, MIA-UTS, was formulated, relating institutional spaces and instances and environmental actions. For 2019 and 2020, in strategic alliance with Niagara Collegue of Canada, NC, as a proposal for academic strengthening of the Engineering program, the MIA is transformed, incorporating the concept of Greening, from UNESCO-UNEVOC (2018), from its guide “Greening technical and technological education”, creating the PSAI, in which, objectives, guidelines and institutional environmental policy are resized, in five strategic axes, with actions, times, responsible and expected results are related, in contribution to the SDGs. This document, approved by the Academic Council of the Institution, is assumed as a reference in the formulation of the Strategic Plan for Institutional Development UTS, 2020-2027. The PSAI is consolidated as the strategy for the development of institutional sectoral plans for environmental management, considering: institutional environmental education, research, management of resource consumption and waste generation, risk management and climate change management, as well as interaction with the communities of influence; as strengths for institutional social positioning, with a strong commitment to environmental sustainability

This research study is based on applying an improved oil recovery (IOR) method in a mature oil field in Northwestern Peru that has a production history of more than 100 years. The objective of this research is to explore the potential benefits of technologies such as waterflooding, gas flooding, lower salinity water injection and water alternate gas by increasing oil production and recovery factor in Pariñas reservoir of faulted block around 2779 well , Six Mile Pool, Block I, Talara Basin in Peru.

With the analyzed data, the construction of static and dynamic models is carried out, and the results of the analytical and numerical simulation are discussed in order to evaluate the opportunity to apply the most suitable improved recovery method in the case study field.

This document recognizes, analyzes and proposes a different approach of reservoir managament by providing a new use for excess gas production and/or disposed water, contributing with also improving environmental footprint of a mature field.

Sustainability in software development has become an imperative to mitigate the carbon footprint of the technology sector. This article examines the environmental impact of software, from conception to implementation and day-to-day use, and highlights key practices such as algorithmic efficiency, energy awareness, and data minimization. In addition, it explores innovative strategies such as green computing, green coding, and cloud optimization, which seek to transform software development into a more sustainable practice. Finally, the key role of developers and users in adopting responsible practices to build a more efficient and environmentally friendly digital ecosystem is highlighted.

This research explores the effectiveness of permeable pavements in reducing urban heat island effects and enhancing urban energy use. The impact of key factors such as reflectivity, thermal characteristics, and evaporation cooling on permeable pavements' performance was evaluated through laboratory investigations. Additionally, a comparative analysis of different pervious concrete mixtures was conducted to identify the most effective combination of materials for mitigating urban heat island effects. The findings highlight the potential of permeable pavements as a sustainable solution for managing urban temperatures and promoting energy resilience in cities.

Currently, solar energy has experienced limited development due to a lack of knowledge and technical information about renewable energy sources, as well as the urgent need for industries to transition to a viable and sustainable solution driven by technological advancements and innovations.

For this systematic literature review (SLR), the PICO methodology was applied to select relevant articles based on inclusion and exclusion criteria, resulting in a final selection of 38 articles. According to the research findings, solar energy demonstrates greater efficiency through the implementation of solar plants compared to other renewable energy sources.

Although solar energy operates within a hybrid system, its widespread adoption remains limited due to high installation and maintenance costs, as well as a lack of government incentives.

In conclusion, technological advancements and sustainable strategies position solar energy as a key solution in the transition toward a renewable energy matrix.

The significant increase in waste generation coupled with the existence of public policies and regulatory frameworks generate the need to develop strategies and tools for the design of efficient waste management systems. In particular, this paper explores some formulations to solve the problem of locating containers for the collection of recyclable household waste in the municipality of Renca in Santiago, Chile. This study considers a consolidated management of such waste, where economic efficiency criteria and social aspects are considered. As a result of the sensitivity analysis, it is concluded that the higher the maximum number of containers and candidate locations, the shorter the distances traveled by users and the higher the total cost of locating a greater number of containers. These results can contribute to the decision making process of the authorities regarding the location of recyclable waste containers. As future work, a multiple waste collection strategy will be considered, where different containers are used for each type of recyclable waste.