Geothermal resource is heat energy that can be recovered from underground in the Earth. As part of the European H2020 GEMex project, 3D geological models were constructed for the geothermal sites of Los Humeros and Acoculco in Mexico. These models allow a better understanding of the rock types and structure when targeting deep sources of geothermal energy; they will be updated during the project, serving as a framework for simulating the geothermal system.

The scientific objective is to find a simple understandable model linking human smart characteristics to a group of socio-demographic and urban environment indices, applied to the case of Limassol Urban Complex, Cyprus. The results reveal that the human smart characteristics are significantly correlated with demographic dynamics and built infrastructure characteristics. For instance creativity and open-mindedness appear in most densely urban areas.

We believe that project managers can benefit from using programming languages in their work. In this paper we show several simple examples of how python programming language can be used for some of the basic text manipulation tasks, as well as describe more complicated test cases using a HORIZON 2020 type European project as an example.

The here submitted paper represents the first results of a larger project named GEMex. The objective of the project – a Mexican–European cooperation – is to explore the geothermal potential of deep unconventional systems like enhanced geothermal systems (EGS) and super-hot geothermal systems (SHGS). New exploitation approaches and technologies are being developed, allowing the use of geothermal resources under challenging technical demands.

Storm Britta on 31 October–1 November 2006 was an important North Sea storm with a high surge along the coast of the Netherlands and Germany and a significant number of high wave reports. The paper presents an analysis of the national tide gauge records of the United Kingdom, the Netherlands, Germany, and Denmark to track the storm surge around the North Sea and extract the short period component that may be linked with large coastal wave strikes.

This study focus on minor metallic elements distribution in waste incineration bottom ashes (BAs) using chemical microanalysis methods to study the BAs resource potential. BAs contained from 8.8 wt % to 23.1 wt % of metallic elements concentrated mostly in metallic fragments and metallic inclusions (usually composed of more than one metal). Their recovery might be possible, however, due to physical properties of metallic components, advanced methods of BAs processing need to be applied.

GeoMechanics Technologies has investigated the surface deformation that occurred at a geothermal field operation located in New Zealand. An integrated 3-D geological model, geomechanical model, and fluid and heat flow model were developed for this study. A calibrated geomechanical model was then applied to simulate future scenarios to predict surface subsidence and provide a guideline to optimize field development plans.

The presented study is conducted within the scope of the joint research project "Hessen 3D 2.0" (BMWI-FKZ: 0325944) and aims at assessing the hydrothermal potential of the Pechelbronn Group for direct heat use by means of an integrated 3-D structural-geothermal model that serves to locate potential exploration areas. The assessment is based on reservoir temperature, (net)thickness of the reservoir horizon as well as on petrophysical, thermal and hydraulic rock properties.

The water level of the Waiwera geothermal reservoir increased in the hours and days after the Kaikoura earthquake on 14 November 2016. We determined in a continuous time series consisting of monthly means of water level data and pumping rates starting in 1986 if events above a certain strength alter groundwater dynamics at Waiwera. A clear correlation cannot be proven but none of the recorded earthquakes led to such a high energy density in Waiwera as the Kaikoura event did.

The impact of humidity and gas (CO₂, N₂, CH₄) on saliniferous mineral compositions was studied and show dissolution-recrystallization reactions involving halite, sylvite, kieserite, carnallite and kainite. CO₂ causes acidification of the aqueous phase which enhances dissolution rate and reaction kinetics. These simulations allow for the evaluation of the interachtion between and host rock and fillings along the walls of storage caverns in salt deposits.

Accuracy of well inflow modelling in different numerical simulation approaches was compared for a multi-lateral well with laterals of varying diameter. For homogeneous cases, all simulators generally were reasonably close in terms of the total well flow (deviations smaller than 4 %). The distribution of the flow over the different laterals in a well can vary significantly between simulators (> 20 %). In a heterogeneous case with a fault the deviations between the approaches were much larger.

In this paper, we have identified the main residues available in Kazakhstan for bioenergy production as well as their geographical distribution. The bioenergy potential is estimated about 485.36 MJ (or 16.582 Mt of coal equivalent), which account for about 30 % of total current energy consumption of the country. The northern and southern provinces of Kazakhstan have the highest bioenergy potential from wheat residues, while the dryland central provinces have the least potential.

The predictive performance of random forests (a machine learning algorithm) and three configurations of Prophet (a method largely implemented in Facebook) is assessed in daily streamflow forecasting in a river in the US. Random forests perform better compared to the utilized benchmarks, i.e. a naïve method and a multiple regression linear model, while Prophet's performance is subject to improvements. Random forests are recommended for daily streamflow forecasting.

In the context of hydraulic fracturing we constructed a comprehensive FEP database and applied it to six key focused scenarios defined under the scope of FracRisk project (www.fracrisk.eu). The FEP database is ranked to show the relevance of each item in the FEP list per scenario. The main goal of the work is to illustrate the FEP database applicability to develop a conceptual model for regional-scale stray gas migration.

Under the present study, cement, steel, and brick manufacturing have been studied to determine their emission contribution in India. As the emissions are found to be significant, various future plausibility of the energy and emissions from the sector are assessed. It is found that energy efficiency improvements from steel and brick manufacturing processes result in emission reductions. Combined efforts on the industry could reduce emissions beyond the Paris Agreement commitment of India.

In this paper, We tried to answer two major questions: To what extent are the laboratory results reliable? How well can the lab results represent the rock behaviour on a larger scale? we have discussed the usefulness of laboratory true triaxial experiments in duplicating the field scenarios. We have reconstructed field P-wave velocity profile from laboratory measurements and compared it with the field velocity measurements and observed a good agreement between two sources.

The main goal of this study was to understand how different realizations of the impact of groundwater pumping activities in a major urban center would affect the results of 3-D numerical models. In detail we looked at two model scenarios which both rely on the same geological structural model but differ in the realization of the groundwater boundary conditions. The results show, that it is necessary to use groundwater wells as an active parameter to reproduce local movement patterns.

We use the CAMELS dataset to compare two different approaches in multi-step ahead forecasting of monthly streamflow. The first approach uses past monthly streamflow information only, while the second approach additionally uses past information about monthly precipitation and/or temperature (exogenous information). The incorporation of exogenous information is made by utilizing Prophet, a model largely implemented in Facebook. The findings suggest that the compared approaches are equally useful.

The aim of this work is to investigate the stochastic nature and time evolution of the solar radiation process for daily and hourly scale, with the ultimate goal of creating a new cyclostationary stochastic model capable of reproducing the dependence structure and the marginal distribution of hourly solar radiation via the clearness index K_T.

Electricity produced by gas instead of coal is more climate-friendly as it emits 2 times less CO₂ but with methane leakage rates > 3 % of production this advantage is lost. Ethane in (shale)gas can be used to identify gas leakage. The ratio of ethane/methane for European shale gas plays is derived and emission under different production and leakage scenarios is quantified. This can be used to design an atmospheric monitoring system that alerts competent authorities if unacceptable leakage occurs.

The cement industry involves high-energy consumption that generates high CO₂ emissions into the atmosphere. Environmental concerns can be addressed by replacing parts of Portland cement clinkers with pozzolanic materials in mortars and concrete. Slag, fly ash and silica fume are materials considered for the planned replacement. Research studies on clay minerals, such as kaolinite, are being followed with special attention by the scientific community and the cement industry.

This study shows that global implementation of a circular system to treat waste and wastewater could increase the relative contribution of these sources to global energy demand from 2 % to 9 % by 2040, corresponding to a maximum energy potential of 64 EJ per year. The outcome of the study is the result of compiling and analyzing data on waste and wastewater generation and treatment and developing future scenarios in which carbon flows and energy generation are quantified for 174 country-regions.

The study discusses the fundamental criticism of a techno-economic oriented and target-deterministic energy planning by GIS. Proceeding from this, more complex approaches to the integration of social perspectives into GIS-planning tools are exemplified. The essential innovation integrated into the GIS-tool is the potential to quickly change economic, ecological and social parameters; thus, maps of the spatial dynamics of renewable energy site planning can easily be calculated.

Macerals are the constituents of coal and usually have a small size (e.g. micro-scaled). Therefore, we used nanoindentation to determine material parameters like hardness and reduced elastic modulus from macerals in well examined coals from the Ukrainian Donets Basin. Our main goal was to study the relationship of these parameters with increasing rank of coal. The results indicate that multiple factors control the mechanical properties of macerals (e.g. microstructure, depositional environment).

Aquifer Thermal Energy Storage Systems (ATES) save energy for heating and cooling. They are often placed in aquifers in which salinity increases with depth (in coastal areas where urbanization is high). The seasonally alternating extraction and re-injection between ATES wells disturbs the preexisting ambient salinity gradient which trigger buoyancy flow, which in turn affects the recovery efficiency of these systems. This paper shows under which condtions this is a threat for ATES systems.