This calculator is a handy tool for interested parties to estimate two key life cycle metrics, fossil energy consumption (Etot) and greenhouse gas emission (ghgtot) ratios, for geothermal electric power production. It is based solely on data developed by Argonne National Laboratory for DOE's Geothermal Technologies office. The calculator permits the user to explore the impact of a range of key geothermal power production parameters, including plant capacity, lifetime, capacity factor, geothermal technology, well numbers and depths, field exploration, and others on the two metrics just mentioned. Estimates of variations in the results are also available to the user.

The Magnetic Field Calculator will calculate the total magnetic field, including components (declination, inclination, horizontal intensity, northerly intensity, easterly intensity, vertical intensity) and the annual change for each. Each calculation is for a specific location, elevation and date or range of dates. The calculated result can be obtained from two separate geomagnetic models, the IGRF11 or the WMM2010. Declination is calculated using the current World Magnetic Model (WMM) or International Geomagnetic Reference Field (IGRF) model. While results are typically accurate to 30 minutes of arc, users should be aware that several environmental factors can cause disturbances in the magnetic field.

The Toll Calculator API has been updated to Version 2 as of 16 June 2020 and provides developers a means of accessing the most up-to-date toll pricing for journeys undertaken across NSW roads. Disclaimer: The results returned by the Toll Calculator API are estimates only. Transport for NSW (TfNSW) does not guarantee the accuracy of the results returned by the API. Please refer to the documentation for known limitations. There are currently a number of tolled roads within the Sydney Metropolitan area. These tolls include the following road sections: Eastern Distributor (Northbound only) - between Cahill Expressway, Woolloomooloo and Southern Cross Drive, Kensington Hills M2 Motorway – between Lane Cove Tunnel and Westlink M7 Lane Cove Tunnel – between Hills M2 Motorway and M1 Gore Hill Freeway Gore Hill Freeway – between Lane Cove Tunnel and Warringah Freeway Warringah Freeway – between Gore Hill Freeway and Bradfield Highway New M4 Motorway – between Church Street, Parramatta and Homebush Bay Drive, Homebush Cross City Tunnel – between Darling Harbour and Rushcutters Bay M5 South-West Motorway - between King Georges Highway, Beverly Hills and Westlink M7 Westlink M7 Motorway – between M2 Hills Motorway and M5 South Western Motorway Sydney Harbour Bridge (Southbound only) Sydney Harbour Tunnel (Southbound only) Each of the above tolled roads has different pricing systems and structures based on vehicle type, time of day, distance travelled, flat rates, flag fall and caps. This means that the total cost of a journey undertaken on multiple toll roads can be quite difficult to calculate when taking into account all of these different factors. The Toll Calculator API looks to overcome this issue while at the same time simplifying the number of parameters required to calculate the final cost. The toll rates can also be downloaded from the Toll Calculator Information dataset: https://opendata.transport.nsw.gov.au/dataset/toll-calculator

A global data set of distances from the nearest coastline. Negative distances represent locations over land (including land-locked bodies of water), while positive distances represent the ocean. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point.

NS3 (Network Simulator) is for the simulation to acquis the data, and the LoRa calculator is used for confirming the results. We selected the parameters for designing the network to maintain a smooth data flow. The machine clustering defined the range for the end devices. The spreading factors and the data rate are allocated to those clusters to analyze the results. Different gateways (1, 2, 4, 10, 20) were implemented to measure the SNR, RSSI, and ACK during the concurrent transmission from gateways to end devices. Analyzed the airtime, delay, and duty cycle to mitigate data losses. The bandwidth and spreading factor were modified to minimize the saturation. The duty cycle and bandwidth significantly impact the life span of the end devices.