Climate Change and Power Systems Planning—Opportunities and Challenges

Chandramowli, Shankar; Felder, Frank F.

doi:10.1016/j.tej.2014.04.002

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…According to numerous studies, climate change will likely exacerbate the occurrence of extreme high-impact events that have, historically, had a low probability of occurring. Analysis should account for these events (Chandramowli and Felder 2014;Petitet et al 2021;Felder and Petitet 2021) as well as technical procedures for managing them (such as rolling blackout plans or equipment winterization). To do so, it is necessary to collect and create detailed datasets that are as representative as possible to anticipate future critical events, including ones with low probability.…”

Section: Reliability and Resiliency Analyses Should Consider Lowproba...mentioning

confidence: 99%

One Year After the Texas Blackout: Lessons for Reliable and Resilient Power Systems

Petitet¹,

Felder²,

Alhadhrami³

2022

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In February 2021, Texas experienced an extreme cold snap causing a dramatic electricity blackout that left millions of households without electricity, resulting in over 200 fatalities and economic damages of approximately $100 billion. The Texas blackout has been used to support a variety of claims regarding renewable energy, electricity markets and climate change. We identify the blackout’s drivers and what has been learned since then. These lessons apply to power systems worldwide, including those of the Gulf Cooperation Council and the broader Middle East and North Africa region.

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Section: Reliability and Resiliency Analyses Should Consider Lowproba...mentioning

confidence: 99%

One Year After the Texas Blackout: Lessons for Reliable and Resilient Power Systems

Petitet¹,

Felder²,

Alhadhrami³

2022

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“…The development of concepts, techniques and case studies in recent years have tried to address this by extending the standard least-cost planning methodology to address different complementary measures. For instance, as noted before Chandramowli and Felder [2] extended a least-cost planning model to analyze demand impacts arising from heat waves. Panteli et al [15] was among the first to rigorously lay out the definition of phases for resilient recovery.…”

Section: A An Overview Of the Literaturementioning

confidence: 99%

Planning for a Resilient Home Electricity Supply System

2021

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Resilience of power systems is already a key issue that is getting frequent attention all over the world. It is useful to analyze resilience issues not only for bulk supply, but at all levels including at a customer level. This is because distributed energy resources can play a prominent role in enhancing resilience. Although the literature on planning models, tools and data for bulk supply and distribution systems have expanded in recent years, customer-centric planning, e.g., for an individual household, is yet to receive adequate attention. Although solar PV and battery storage at a household level have been analyzed, how these resources can be optimally combined, together with grid supply, from a resilience perspective is the focus of this study. The study demonstrates how a conceptual framework can be developed to show the trade-off between system costs and resilience including its dimensions such as duration, depth and frequency of service outages. A planning model is developed that incorporates multiple facets of resilience and individual customer preferences. The model considers power system resilience explicitly as a constraint. The model is implemented for a household level case study in Miami, Florida. The results show there are complex tradeoffs among different dimensions of resilience. The study demonstrates how combined resilience metrics can be formulated and evaluated using the proposed least-cost planning model at a household level to optimize grid supply together with solar, battery storage and diesel generators. The model allows a planner to directly embed a resilience standard to drive the optimal supply mix. These concepts and the modeling construct can also be applied at other levels of planning, including community level and bulk supply system planning.

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“…The climate change perturbation is in the form of temperature projections for three local sites in New Jersey. Climate data can be broadly classified under two categories: observational and projected type (see [13,14,15,16] for an overview of recent climate data advances). Observational climate data includes the actual weather variables recorded by weather stations.…”

Section: Temperature Projections From Ncar-cesm Simulation Runmentioning

confidence: 99%

LP-CEM: A modeling tool for power systems planning incorporating climate change effects and macroeconomic trends for New Jersey, United States

Chandramowli

Felder

Mantell

et al. 2016

Energy Strategy Reviews

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The electric power sector is highly vulnerable to climate change, yet long-term capacity expansion models often fail to take into account for it. This paper presents an overview of LP-CEM (Linear Programming based Capacity Expansion Model), which incorporates both the effects of long-term warming and the state/regional-level macroeconomic trends. We apply the modeling framework for the electric power system in New Jersey, United States. Some of the methodological advances introduced in this research are: the use of high-resolution temperature projections data in a power sector capacity expansion model; the incorporation of changes in sectoral composition of electricity demand over time; the incorporation of the effects of climate change and variability on both the demand and supply-side of power sector using parameters estimated in the literature; and an inter-model coupling link with a macroeconomic model to account for price elasticity of demand and other effects on the broader macro-economy. LP-CEM-type models can be of use to state/region-level policymakers to plan for future mitigation and adaptation policies to climate change. Scenarios with climate variability, climate change effects and with high economic growth rates result in higher capacity additions, supply costs, wholesale/retail prices and total ratepayers' costs in the next forty years.

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Climate Change and Power Systems Planning—Opportunities and Challenges

Cited by 11 publications

References 3 publications

One Year After the Texas Blackout: Lessons for Reliable and Resilient Power Systems

One Year After the Texas Blackout: Lessons for Reliable and Resilient Power Systems

Planning for a Resilient Home Electricity Supply System

LP-CEM: A modeling tool for power systems planning incorporating climate change effects and macroeconomic trends for New Jersey, United States

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