Matthias Fripp

UHERO Research Fellow and Associate Professor of Electrical Engineering

Education

Ph.D. from the Energy and Resources Group at the University of California, Berkeley, in 2008
Master’s degree from the Energy and Resources Group at the University of California, Berkeley, in 2003
Bachelor’s degree in Environmental Studies from Lewis & Clark College in 1999.

Selected Publications

Fripp, “Intercomparison between Switch 2.0 and GE MAPS models for simulation of high-renewable power systems in Hawaii,” Energy, Sustainability and Society, vol. 8, no. 1, p. 41, Dec. 2018, https://doi.org/10.1186/s13705-018-0184-x

Najafi, M. Hamzeh and M. Fripp, “Unbalanced Current Sharing Control in Islanded Low Voltage Microgrids,” Energies, vol. 11, no. 10, 2018, p. 2776. https://doi.org/10.3390/en11102776

Izawa and M. Fripp, “Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance,” Energies, vol. 11, no. 9, 2018, p. 2373. https://doi.org/10.3390/en11092373

A. Fatemi, A. Kuh, and M. Fripp, “Parametric methods for probabilistic forecasting of solar irradiance,” Renewable Energy, vol. 129, no. Part A, pp. 666–676, Dec. 2018. http://ee.hawaii.edu/~mfripp/papers/Fatemi_Kuh_Fripp_2018_Probabilistic.pdf

Nourollah, A. Pirayesh, and M. Fripp, “Multitier decentralized control scheme using energy storage unit and load management in inverter-based AC microgrids,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 25, pp. 735–751, 2017. http://online.journals.tubitak.gov.tr/openDoiPdf.htm?mKodu=elk-1506-64

A. Fatemi, A. Kuh, and M. Fripp, “Online and batch methods for solar radiation forecast under asymmetric cost functions,” Renewable Energy, vol. 91, pp. 397–408, Jun. 2016. http://ee.hawaii.edu/~mfripp/papers/Fatemi_Kuh_Fripp_2016_Asymmetric.pdf

Carland, M. Umeda, T. Wilkey, A. Oberbeck, J. Cumming, N. Parks, M. Fripp, A. Kuh, and D. Garmire, “Self-Sustaining Meteorological Wireless Sensor Networks,” Sensors & Transducers, vol. 160, no. 12, pp. 118–124, Dec. 2013. http://www.sensorsportal.com/HTML/DIGEST/P_1588.htm

Fripp, “Switch: a planning tool for power systems with large shares of intermittent renewable energy,” Environmental Science & Technology, vol. 46, no. 11, pp. 6371–6378, Jun. 2012. http://ee.hawaii.edu/~mfripp/papers/Fripp_2012_Switch_Calif_Renewables.pdf

Nelson, J. Johnston, A. Mileva, M. Fripp, I. Hoffman, A. Petros-Good, C. Blanco, and D. M. Kammen, “High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures,” Energy Policy, vol. 43, pp. 436–447, Apr. 2012. http://ee.hawaii.edu/~mfripp/papers/Nelson_et_al_2012_Switch_WECC.pdf

J. Krohn and M. Fripp, “A life cycle assessment of biodiesel derived from the ‘niche filling’ energy crop camelina in the USA,” Applied Energy, vol. 92, pp. 92–98, Apr. 2012.  http://ee.hawaii.edu/~mfripp/papers/Krohn_Fripp_2011_Camelina_LCA.pdf

Fripp, “Greenhouse Gas Emissions from Operating Reserves Used to Backup Large-Scale Wind Power,” Environmental Science & Technology, vol. 45, no. 21, pp. 9405–9412, Nov. 2011. http://ee.hawaii.edu/~mfripp/papers/Fripp_2011_Wind_Reserves.pdf

Fripp, “Optimal investment in wind and solar power in California,” Doctoral dissertation, Energy and Resources Group, University of California, Berkeley, Oct. 2008. http://ee.hawaii.edu/~mfripp/papers/Fripp_2008_Dissertation.pdf

Fripp and R. H. Wiser, “Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest,” IEEE Transactions on Power Systems, vol. 23, no. 2, pp. 477–485, May 2008. http://ee.hawaii.edu/~mfripp/papers/Fripp_Wiser_2008_Wind_Patterns.pdf

A. Ghertner and M. Fripp, “Trading away damage: Quantifying environmental leakage through consumption-based, life-cycle analysis,” Ecological Economics, vol. 63, no. 2–3, pp. 563–577, Aug. 2007. http://ee.hawaii.edu/~mfripp/papers/Ghertner_Fripp_2007_Trade.pdf

Implications of a “Green Tariff” for the University of Hawai‘i, Hawaiian Electric Company, and other Customers

In June 2015 the State passed a law setting a goal for the University of Hawai‘i (UH) to produce as much renewable energy as the …

Variable Pricing and the Cost of Renewable Energy

On a levelized-cost basis, solar and wind power generation are now competitive with fossil fuels, and still falling. But supply of these renewable resources is …

Effect of Electric Vehicles on Design, Operation and Cost of a 100% Renewable Power System

This report outlines the effect that electric vehicles could have on the cost of transport and electricity production in the context of a 100% renewable …

Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions

Nori Tarui

Abstract

We assess the effect of the COVID-19 pandemic on global fossil fuel consumption and CO2 emissions over the two-year horizon 2020Q1-2021Q4. We apply a global vector autoregressive (GVAR) model, which captures complex spatial-temporal interdependencies across countries associated with the international propagation of economic impact due to the virus spread. The model makes use of a unique quarterly data set of coal, natural gas, and oil consumption, output, exchange rates and equity prices, including global fossil fuel prices for 32 major CO2 emitting countries in 1984-2019. We produce forecasts of coal, natural gas and oil consumption, conditional on GDP growth scenarios based on alternative IMF World Economic Outlook forecasts that were made before and after the outbreak. We also simulate the effect of a relative price change in fossil fuels, due to global scale carbon pricing, on consumption and output. Our results predict fossil fuel consumption and CO2 emissions to return to their pre-crisis levels, and even exceed them, within the two-year horizon despite the large reductions in the first quarter following the outbreak. Our forecasts anticipate more robust growth for emerging than for advanced economies. The model predicts recovery to the pre-crisis levels even if another wave of pandemic occurs within a year. Our counterfactual carbon pricing scenario indicates that an increase in coal prices is expected to have a smaller impact on GDP than on fossil fuel consumption. Thus, the COVID-19 pandemic would not provide countries with a strong reason to delay climate change mitigation efforts.