Quantifying the emissions impacts of smart grid projects with a publically available web calculator

Studarus, Karen; Hardy, Trevor; Thayer, Brandon; Pratt, Rob

doi:10.1109/pesgm.2016.7741364

Cited by 6 publications

(1 citation statement)

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“…Pacific Northwest National Laboratory (PNNL) developed a tool that can evaluate the impact on emissions for smart-grid projects [25]. The tool uses user specified load data before and after implementing the smart-grid technology and produces a comprehensive report on the impact of this technology based on the region it has been deployed.…”

Section: Introductionmentioning

confidence: 99%

A data‐driven approach to estimate emissions for market‐based power system test cases

Durvasulu

Hansen

2021

IET Smart Grid

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A data-driven technique to determine greenhouse gas (GHG) and air-pollutant (AP) emissions from bulk-power system simulations is proposed. The proposed technique emulates the dispatch of a bulk-power system using open-source hourly fuel-energy data from an actual U.S. electricity market (i.e. PJM). Sixteen different fuel types were analysed from real generator data and dynamically assigned to power system test cases to statistically represent the real fuel-energy mix. Each test case generator is assigned a heat-rate function based on open-source real generator data to estimate realistic emissions from power system test case simulations. These augmented test cases can be used to simulate how changes in load and generation impact power system emissions to determine the environmental sustainability of new technologies (e.g. demand-side management). The proposed technique is implemented on three different power system test cases, and the simulated emissions are compared with the actual emissions of the PJM system. The results from the test systems are found to accurately emulate the time-series values of fuel-mix, emissions, and marginal costs of PJM.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%