Data from Geant4 calculations of average gamma heating from selected cases of used light water reactor nuclear fuel assemblies in a KBS-3 type deep geological repository

Monte Carlo calculations, using the Geant4 framework version 10.02 [1], of energy deposition from gamma radiation emitted from light water reator fuel assemblies in a KBS-3 type deep geological repository for used nuclear fuel has been performed. Selected cases of boiling and pressurized reactor fuel assemblies from the "SKB-50" set of fuel assemblies were used; "BWR1", "BWR6" and "PWR8" [2]. An isotropic source of gamma-rays with energies of 444, 662, 723 and 1274 keV, depending of the case, were distributed homogeneously in the intersection of a (mid-)plane perpendicular to the canister central axis with all the fuel rods in all fuel assemblies in the canister. The average energy deposition in a 3-dimensional (x,y,z) mesh with 1 cm resolution was calculated per emitted gamma particle. This dataset contains the resulting meshed energy deposition data.

Description of files:
- The gzip compressed tar file contains comma-separated-values (CSV) files with the data "mesh x position [cm], mesh y position [cm], mesh z position [cm], average energy deposition per emitted gamma [MeV]" supplied on each row. The name of the CSV file specifies the fuel assembly id from the SKB-50 set of fuel assemblies as well as the energy of the emitted gamma radiation.
- The txt-file contains the SHA-256 checksum of the gzip compressed tar file.

The dataset was originally published in DiVA and moved to SND in 2024.

本数据集基于Geant4框架（版本10.02）[1]开展的蒙特卡洛计算，模拟了轻水反应堆燃料组件在KBS-3型乏核燃料深层地质处置库中释放的γ射线的能量沉积过程。本次计算选取了SKB-50燃料组件套件中的沸水堆与压水堆燃料组件案例，具体为‘BWR1’、‘BWR6’及‘PWR8’[2]。
根据不同计算案例，采用能量为444、662、723及1274 keV的各向同性γ射线源，该源均匀分布于与容器中心轴垂直的（中）平面与容器内所有燃料组件的全部燃料棒的相交区域内。
针对每个出射γ粒子，计算分辨率为1 cm的三维（x,y,z）网格中的平均能量沉积。本数据集包含最终得到的网格化能量沉积数据。

文件说明：
- 该gzip压缩tar归档文件包含逗号分隔值（Comma-Separated Values，CSV）文件，每行数据格式为“网格x坐标[cm]、网格y坐标[cm]、网格z坐标[cm]、每个出射γ粒子的平均能量沉积[MeV]”。CSV文件名分别标注了SKB-50套件中的燃料组件编号与发射γ射线的能量。
- 配套的txt文件存储了该gzip压缩归档文件的SHA-256校验和。

本数据集最初发布于DiVA平台，并于2024年迁移至SND。