Renewable Energy

Dataset related to the paper "Advantages of dual CO2 & O2 adsorption model for assessment of micropore development in biochar during two-stage gasification". Gas adsorption measurement files (.smp) and the results of the pore size distribution (PSD) calculations (.xlsx) performed with SAIEUS 3.5 software.

Data includes monthly time series for the variables specific to electricity and REC markets in India.

This file includes wind power and PV power generation hours and feed-in tariff

Liquid and gaseous product analysis

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

Data is sourced from the World Development Indicators and from the Website of British Petroleum for Oil prices, gas price and coal prices.

Results from CFD simulations. ID code refers to the following: [Turbine spacing with respect to turbine diameter] _ [Angle to wind direction] _ [Direction of rotation] The values were normalised with respect to the performance of a VAWT in isolation.

PyGAOWT codes for: Proposal of a Novel GPU-accelerated Lifetime Optimization Method for Onshore Wind Turbine Dampers under Real Wind Distribution

Results of all simulation trials.

This folder contains the code for the Run-of-River Project Optimization (RoRPO) model described in the manuscript. The RoRPO model is coded in MatLab and is designed to be used on high-performance computing (HPC) facilities. The code that is provided here applies the RoRPO model to the Guder River case study. Flow data for Guder River is in the file "GuderRiverFlow.mat". The profile of Guder River is in the file "GuderRiverProfile.mat". The RoRPO model selects turbines from a predefined set. Characteristics of turbines defined for the Guder River case study are given I the file "turbineData.mat". To run the model on an HPC, execute "ror_main.m" with "ror_0.mat" as an input file. The model should automatically run in parallel and generate new instances on the HPC. Results are written to the file "ror_out.mat". After running the code, you can use this command to open the output file "dlmread('ror_out.mat')".