Contributors:Katarzyna A. Kurek, Heijman Wim, van Ophem Johan, Gedek Stanislaw, Strojny Jacek
Dataset regarding the manuscript "The impact of geothermal resources on the competitiveness of municipalities: evidence from Poland.” Data presents the process of building the municipalities' competitiveness indicators in Poland. These indicators are aggregated by the Analytical Hierarchy Process to result in a synthetic competitiveness index of the examined municipalities. Further on, the competitiveness indicator is examined in a relation to variables that illustrate the local exploitation of geothermal resources in Poland. Panel data regression is used to test the data.
All the original data of this paper are presented with figures or tables. The data in each table can be seen directly in the manuscript. The data in each figure can be read by opening their corresponding .obj file with Origin software. These files are concluded in this research data file.
These data has been processed from the output results of FAST software from National Renewable Energy Laboratory (NREL) which is employed to model the unsteady hydrodynamic response of tidal turbines in this study. After that, Matlab is used to build the graphs as presented in the manuscript.
This data is related to the article in press ''T. Odou, B. Ramchandra, R. Adamou, Hybrid Off-grid Renewable Power System for Sustainable Rural Electrification in Benin “In press,” 2018.
The data are grouped into 4 categories spread in different worksheets as follow:
1. Resource assessment:
The resource assessment comprises the files 1.1.Met_data.xlsx and 1.2. Hydro_Ressource_Modelling.xlsx. The excel worksheet Met_data.xls contains the weather parameters namely: Solar radiation, Wind speed, precipitation and temperature at Kandi and the estimated monthly streamflow data for the hydro site of ‘’sosso’’. Kandi is the nearest station from the village of Fouay. These parameters are daily data with different time range. The sheet Hydro_Ressource_Modelling.xlsx. contains the estimated streamflow of the hydropower site of ‘’Cascade de Sosso’’ as well as the two analogues gauged station streamflow used to perform the estimation. The Couberi gauged station is located at the upstream of Sosso and Gbasse gauged stations at the downstream.
2. Load Assessment
The electrical energy demand of the village of Fouay details is provided in the excel worksheet 2. Load.xlsx. The electrical load of the village is classified into three main categories: Household load, Community load, and Commercial load. Some assumptions have been made for seasonal variation of the load profile. Three main season load variation are defined summer, winter low and winter high. For each category of the load demand and seasonal variation, an excel sheet in the worksheet describes them respectively. A summary load sheet is created and the yearly load also.
3. Components costs and specifications
The components costs (PV panels, Diesel Generator (DG), Battery, Inverter, Hydro turbine and grid) and specifications are containing in excel worksheet 3. Components_Costs_Specifications.xlsx The step size capacity of PV ARRAY, Converter and DG are in a separate sheet on the worksheet and as well hydro power site details information.
4. Optimization and simulation
Under this section three file are generated. The spreadsheet 4.1. HOMER_all_Optimization.xlsx lists all the feasible simulations and the spreadsheet 4.2. HOMER_Categorized_Optimization.xlsx. contains the list of feasible systems according to system type. The above spreadsheets are output retrieved data from HOMER software tools. The third file 4.3. Optimisation_Simulation_Output.xlsx is a retrieved and analyzed data from HOMER software output. It contains monthly electric production of PV/DG/Battery and the system components electric production over a year to meet the load. The month of August in the winter and November in summer are taken to capture the system behaviour to balance the load.
Trace elements (TE) are known to play a crucial role in microbial metabolism, and to improve biogas output in anaerobic digestion (AD), although the mechanisms are not well characterised.
We have characterised the microbial communities associated with anaerobic mono-digestion of grass silage through initiation, stable operation, inhibition at high organic loading rates, and rescue through addition of trace elements (iron, nickel and cobalt). Comparison of these communities with communities from unsupplemented anaerobic co-digestion of a grass silage:slurry mix shows TE supplementation to be significantly associated with increases in genera known to be involved in the metabolism of volatile fatty acids (Gelria, Anaerovorax, Dethiobacter), hydrolysis (Clostridia), and in particular the uncharacterised clostridial order MBA03. However, a decrease was seen in the abundance of methanogenic Archaea, indicating TE supplementation improves mono-digestion of grass silage through augmented fermentation rather than improved methanogenesis.