Conference proceedings

Displaying 81 - 90 of 314 in CEST2023 (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Impact of Fatty Waste on Anaerobic Digestion of Sewage Sludge at a Municipal Wastewater Treatment Plant - A Case Study

(Corresponding) Umiejewska K., Retman M., Lech P.
Topic: 
Waste-to-energy
Anaerobic digestion is a common method for utilization of sewage sludge at large-scale wastewater treatment plants. This process generates biogas, which is a source of renewable energy. Intensification of biogas production can be achieved, for example, through co-digestion, with fatty waste...Read more
Keywords: 
anaerobic digestion, biogas, municipal wastewater treatment plant, co-digestion
Conference: 
CEST2023
Paper ID: 
cest2023_00155

Design requirements for the development of an LCA Engine

(Corresponding) Koidis C., Vlachokostas C., Achillas C., Michalidou A., Aidonis D., Bantsos A., Makris D., Mertzanakis C., Savva C.
Topic: 
Life cycle analysis (lca)
The work focuses on the development of a web-based tool to promote life cycle thinking and assessment of agricultural production. The computational tool is based on a sophisticated LCA Engine which provides personalized, real-time results, with the exploitation of real data from sensors. This comes...Read more
Keywords: 
life cycle assessment; agrifood; IoT; sensors; environmental certification;
Conference: 
CEST2023
Paper ID: 
cest2023_00158

Effects of High Temperature and Liquid Nitrogen Cooling: A Case Study of granite rocks from Kazakhstan

(Corresponding) Longinos S., Tuleugaliyev M., Begaliyev D., Hazlett R.
Topic: 
Renewable energy sources
Cryogenic fracturing using liquid nitrogen (LN2) is a new geothermal well stimulation method to augment porosity, permeability, and overall contact area in Hot Dry Rock (HDR) reservoirs in an environmentally acceptable way, without potential surface or groundwater contamination, formation damage,...Read more
Keywords: 
Granite, Kazakhstan, Liquid nitrogen, Geothermal Energy
Conference: 
CEST2023
Paper ID: 
cest2023_00161

A Deep Learning Model, interpreted with an XAI technique, to simulate and optimize the remediation of oil-drilling cuttings in bubble flow reactors

Kalari K., Christodoulis K., Bali N., Theodoropoulou M., (Corresponding) Tsakiroglou C.
Topic: 
Environmental data analysis and modelling
A multitask deep neural network (DNN) is developed to simulate the ozonation of oil-drilling cuttings (ODC) and is interpreted through a technique of explainable artificial intelligence (XAI) to provide knowledge about the experimental conditions that will maximize the decontamination of ODC. On a...Read more
Keywords: 
Ozonation, Soil Remediation, Bubble Column Reactor, Deep Neural Networks, Multitask Learning, Explainable Artificial Intelligence.
Conference: 
CEST2023
Paper ID: 
cest2023_00166

Iodine biofortification of cabbage plants cultivating in hydroponic system

Hoang N., Fodor F., Záray G., Endrédi A., Streli C., Ingerle D., Buzanich A., Radtke M., Ziegler P., (Corresponding) Dobosy P.
Topic: 
ENVIRONMENTAL HEALTH AND WELL-BEING
Iodine is an essential trace element in the human diet being involved in the synthesis of thyroid hormones. Iodine deficiency affects ca. 2.2 billion people worldwide, therefore it is an important challenge to find a plant-based source of iodine, which would provide the recommended dietary...Read more
Keywords: 
iodine, biofortification, cabbage, nutrients
Conference: 
CEST2023
Paper ID: 
cest2023_00170

Predicting Land Cover Map Changes in the Philippines for use in LULC-based Carbon Capture Monitoring using Deep Learning

Camaclang R., Ballesteros F., (Corresponding) Labao A.
Topic: 
Environmental data analysis and modelling
In the area of Carbon Capture and Storage (CSS), monitoring plays an important role not only to determine if there is any anomalies in the release of CO2 in the atmosphere, but also to prepare for disasters and to plan better future developments in the industrial sector, transportation sector, real...Read more
Keywords: 
Land Use and Land Cover (LULC), Land Cover Prediction, Carbon Capture and Storage, Deep Learning
Conference: 
CEST2023
Paper ID: 
cest2023_00171

Exploring the Potential and Challenges of a Developing Carbon Market in the Philippines

(Corresponding) Corpus R., Bayani M., MELDANETTE S., Ado R.
Topic: 
Carbon market
The worldwide shift towards the use of renewable energy sources is very necessary if we are going to reduce our impact on the environment and become more sustainable over the long run. However, owing to the intermittent nature of renewable energy sources, concerns with grid management, and...Read more
Keywords: 
carbon market, Philippines, emerging
Conference: 
CEST2023
Paper ID: 
cest2023_00175

Assessing the Effects and Dangers of Climate Change on the Environment and Society of the Philippines

Corpus R., (Corresponding) Bayani M., (Corresponding) Ado R.
Topic: 
Climate change impacts, vulnerability and risks
The Philippines is one of the most susceptible nations to climate change's effects. It is anticipated that the frequency and severity of extreme weather events such as typhoons, floods, and droughts will increase over the next few decades. This thesis seeks to evaluate the environmental and...Read more
Keywords: 
climate change, Philippines, emerging
Conference: 
CEST2023
Paper ID: 
cest2023_00176

Environmental and Economic Life Cycle Assessment of a Spanish whisky

Cely-Parra P., (Corresponding) San Miguel G., Beltrán M.
Topic: 
Life cycle analysis (lca)
A considerable literature has been dedicated to evaluating the carbon footprint of fermented beverages such as wine and beer. However, far fewer studies have been committed to assess the environmental and economic sustainability of spirit distillates. The aim of this paper was to compile a complete...Read more
Keywords: 
whisky, spirituous, LCA, life cycle assessment, carbon footprint
Conference: 
CEST2023
Paper ID: 
cest2023_00180

Applicability of Advanced Oxidation Processes for Treatment and Recovery of Washing Machine Effluent

(Corresponding) Kılıç L., Dilsizoğlu-Akyol N., Ölmez-Hancı T.
Topic: 
Advanced oxidation processes
In this study, it was successfully shown that Advanced Oxidation Processes (AOPs) are a feasible method to treat laundry wastewater originating from washing machines. Wastewater characterization from different stages of wastewater discharge was analysed and advanced oxidation processes including O3...Read more
Keywords: 
Advanced Oxidation Processes, laundry wastewater, washing machine, hydrogen peroxide, recycle
Conference: 
CEST2023
Paper ID: 
cest2023_00184