Renewable Energy

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.

These data were created as part of the publication: Deshmukh R, Wu G C, Callaway D, Phadke A. (2018) "Geospatial and techno-economic analysis of wind and solar resources in India". The data set includes 3 shape files for wind, solar photovoltaic, and concentrated solar power technologies. The shape files consist of potential project opportunity areas (POAs) for each of the technologies. For each POA, which is 5 x 5 km2 or smaller in size, we calculated various attributes including mean renewable resource quality, levelized cost of generation based on that resource quality, levelized cost for transmission connection to the nearest substation, levelized cost for road connection, distances to nearest substation, road, load center, and water body, water stress (important consideration for solar resources), and electricity generation and installed capacity potential for that land parcel. The description of the attributes in the shape files is included in a pdf file. The abstract for the paper, which summarizes our findings is as follows: Using geospatial and economic analysis, we identify abundant renewable resources in India - 850-3,400 GW for onshore wind, 1,300-5,200 GW for utility-scale solar photovoltaic (PV), 160-620 GW for concentrated solar power (CSP, with 6h-storage). However, these resources are concentrated in the western and southern regions. Deriving capital costs from India's 2017-18 auction prices, we estimate the 5th and 95th percentiles of levelized costs of energy generation ranging from USD 47-52 per MWh for solar PV and USD 42-62 per MWh for wind. Karnataka, Maharashtra, Tamil Nadu, and Telangana are the best states for access to high-voltage substations, but transmission investments in Gujarat, Rajasthan, Andhra Pradesh, and Madhya Pradesh are needed to harness signicant renewable resources. More than 80% of wind resources lie on agricultural lands where dual land use strategies could encourage wind development and avoid loss of agriculturally productive land. Approximately 90% of CSP resources and 80% of solar PV resources are in areas experiencing high water stress, which can severely restrict deployment unless water requirements are minimized. Finally, we find co-location potential of at least 110 GW of wind and 360 GW of solar PV, which together could meet 35% of electricity demand in 2030.

Some of the data used for the experiments in the present work.

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.

Supporting file - Experimental data

This appendix includes original models, data and diagrams.

Dataset associated with the paper 'Towards renewable electricity in Europe: Revisiting the determinants of renewable electricity in the European Union' submitted to Renewable Energy. It includes price, policy, and control variables for electricity and other energy sources for 29 countries in Europe over the period 2000-2016.

Data files and codes

This is data on the daily and yearly livestock waste generated from the cities in the study area

Liquid and gaseous product analysis