Kendall Mongird

Ms. Kendall Mongird

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
28 June 2020 in Energies
Verified
Journal Article
Open access
PDF file
KMKendall Mongird
Kendall Mongird
Vilayanur V ViswanathanVilayanur V Viswanathan
Vilayanur V Viswanathan
PBPatrick Balducci
Patrick Balducci
JAJan Alam
Jan Alam
VFVanshika Fotedar
Vanshika Fotedar
BHBoualem Hadjerioua
Boualem Hadjerioua
The energy storage industry has expanded globally as costs continue to fall and opportunities in consumer, transportation, and grid applications are defined. As the rapid evolution of the industry continues, it has become increasingly important to understand how varying technologies compare in terms of cost and performance. This paper defines and evaluates cost and performance parameters of six battery energy storage technologies (BESS)—lithium-ion batteries, lead-acid batteries, redox flow batteries, sodium-sulfur batteries, sodium-metal halide batteries, and zinc-hybrid cathode batteries—four non-BESS storage systems—pumped storage hydropower, flywheels, compressed air energy storage, and ultracapacitors—and combustion turbines. Cost and performance information was compiled based on an extensive literature review, conversations with vendors and stakeholders, and costs of systems procured at sites across the United States. Detailed cost and performance estimates are presented for 2018 and projected out to 2025. Annualized costs were also calculated for each technology.

14 September 2020 in Energies
Verified
Journal Article
Open access
PDF file
PBPatrick Balducci
Patrick Balducci
KMKendall Mongird
Kendall Mongird
DWDi Wu
Di Wu
DWDexin Wang
Dexin Wang
VFVanshika Fotedar
Vanshika Fotedar
RDRobert Dahowski
Robert Dahowski
Recent developments and advances in distributed energy resource (DER) technologies make them valuable assets in microgrids. This paper presents an innovative evaluation framework for microgrid assets to capture economic benefits from various grid and behind-the-meter services in grid-connecting mode and resilience benefits in islanding mode. In particular, a linear programming formulation is used to model different services and DER operational constraints to determine the optimal DER dispatch to maximize economic benefits. For the resiliency analysis, a stochastic evaluation procedure is proposed to explicitly quantify the microgrid survivability against a random outage, considering uncertainties associated with photovoltaic (PV) generation, system load, and distributed generator failures. Optimal coordination strategies are developed to minimize unserved energy and improve system survivability, considering different levels of system connectedness. The proposed framework has been applied to evaluate a proposed microgrid in Northampton, Massachusetts that would link the Northampton Department of Public Works, Cooley Dickenson Hospital, and Smith Vocational Area High School. The findings of this analysis indicate that over a 20-year economic life, a 441 kW/441 kWh battery energy storage system, and 386 kW PV solar array can generate $2.5 million in present value benefits, yielding a 1.16 return on investment ratio. Results of this study also show that forming a microgrid generally improves system survivability, but the resilience performance of individual facilities varies depending on power-sharing strategies.

26 September 2025 in Communications Earth & Environment
Verified
Journal Article
Open access
PDF file
KMKendall Mongird
Kendall Mongird
CBCameron Bracken
Cameron Bracken
CBCasey D. Burleyson
Casey D. Burleyson
KOKonstantinos Oikonomou
Konstantinos Oikonomou
YOYang Ou
Yang Ou
NVNathalie Voisin
Nathalie Voisin
Expanding United States electricity infrastructure to meet growing demand could require extensive power plant development footprints and land use conversion, depending on the mix of generation types chosen. Understanding where future power plant sitings are likely to take place and identifying potential conflicts and land-use tradeoffs will be key to identifying feasible and affordable investments and evaluating regional planning coordination needs. Here we use an integrated modeling framework that combines capacity expansion planning, hourly grid operations, and geospatial techno-economic analysis to develop projections (2025-2050) of power plant sitings in the Western United States (US) at a 1 km2 resolution for a business-as-usual scenario and a high renewables penetration scenario. We find that 30% more land will be needed in the high renewables scenario as compared to business-as-usual, and that 75% of that development is projected to be located within 10 km of natural areas.

9 November 2023 in Scientific Data
Verified
Journal Article
Open access
PDF file
CVChris R. Vernon
Chris R. Vernon
KMKendall Mongird
Kendall Mongird
KNKristian D. Nelson
Kristian D. Nelson
JRJennie S. Rice
Jennie S. Rice
Climate change, energy system transitions, and socioeconomic change are compounding influences affecting the growth of electricity demand. While energy efficiency initiatives and distributed resources can address a significant amount of this demand, the United States will likely still need new utility-scale generation resources. The energy sector uses capacity expansion planning models to determine the aggregate need for new generation, but these models are typically at the state or regional scale and are not equipped to address the wide range of location- and technology-specific issues that are increasingly a factor in power plant siting. To help address these challenges, we have developed the Geospatial Raster Input Data for Capacity Expansion Regional Feasibility (GRIDCERF) data package, a high-resolution product to evaluate siting suitability for renewable and non-renewable power plants in the conterminous United States. GRIDCERF offers 264 suitability layers for use with 56 power plant technologies in a harmonized format that can be easily ingested by geospatially-enabled modeling software allowing for customization to robustly address science objectives when evaluating varying future conditions.

13 October 2021 in Water
Verified
Journal Article
Open access
PDF file
KOKonstantinos Oikonomou
Konstantinos Oikonomou
KMKendall Mongird
Kendall Mongird
JRJennie S. Rice
Jennie S. Rice
JHJuliet S. Homer
Juliet S. Homer
As increasing pressures of population growth and climate change arise, water and power systems (WPS) are becoming increasingly interdependent. This interdependency has resulted in an increased potential for cascading failures, whereby the service interruption of one system can propagate to interdependent ones. This paper makes four contributions. First, we present an extensive literature review in the field of integrated water and power resilience, leveraging both institutional and technical literature research landscapes. We compare various modeling approaches used to model interdependent WPS and discuss the different metrics and definitions that are typically employed to quantify and define resilience. Relevant challenges and gaps related to modeling tools and metrics are also discussed, and appropriate recommendations are made. Second, the paper presents a visualization prototype for interdependent WPS to showcase water and power system interdependencies and reveal co-managed resilience strategies that can be used to improve resilience under different types of common threats. Third, we provide a conceptual decision support framework that simultaneously optimizes a portfolio of co-managed resilience strategies in the face of multiple, uncertain threats and addresses WPS interdependencies. Finally, we present future trends regarding digitalization, integrated planning, collaborative governance, and equity needs for building more resilient WPS.

26 September 2021 in Journal of Open Source Software
Verified
Journal Article
Open access
PDF file
CVChris R. Vernon
Chris R. Vernon
JRJennie S. Rice
Jennie S. Rice
NZNino Zuljevic
Nino Zuljevic
KMKendall Mongird
Kendall Mongird
KNKristian Nelson
Kristian Nelson
MBMatthew Binsted
Matthew Binsted