Toward Carbon-Neutral Electric Power Systems in the New York State: a Novel Multi-Scale Bottom-Up Optimization Framework Coupled with Machine Learning for Capacity Planning at Hourly Resolution

Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico

(2021) Jeffrey A. Bennett et al.   Nature Energy

Sustainable Energy Transition Considering the Water–Energy Nexus: A Multiobjective Optimization Framework

(2021) Javier Tovar-Facio et al.   ACS Sustainable Chemistry & Engineering

Can Artificial Intelligence and Machine Learning Be Used to Accelerate Sustainable Chemistry and Engineering?

(2021) Kevin C. Leonard et al.   ACS Sustainable Chemistry & Engineering

Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective

(2021) Li Sun et al.   Engineering

Quantifying the challenge of reaching a 100% renewable energy power system for the United States

(2021) Wesley J. Cole et al.   Joule

Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study

(2020) Matthew J. Palys et al.   COMPUTERS & CHEMICAL ENGINEERING

A methodology for the design of flexible renewable-based utility plants

(2020) Salvador I. Perez Uresti et al.   ACS Sustainable Chemistry & Engineering

Fluctuation Analysis of a Complementary Wind–Solar Energy System and Integration for Large Scale Hydrogen Production

(2020) Xiaofei Shi et al.   ACS Sustainable Chemistry & Engineering

A hierarchical clustering decomposition algorithm for optimizing renewable power systems with storage

(2020) William W. Tso et al.   APPLIED ENERGY

Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios

(2020) Matteo Giacomo Prina et al.   Energies

Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?

(2020) Ning Zhao et al.   APPLIED ENERGY

Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison

(2019) Holger Teichgraeber et al.   APPLIED ENERGY

Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach

(2019) Mingyang Sun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electrocatalysts for Lithium–Air Batteries: Current Status and Challenges

(2019) Awan Zahoor et al.   ACS Sustainable Chemistry & Engineering

Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage

(2019) Ian J. Scott et al.   APPLIED ENERGY

Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods

(2018) Chao Ning et al.   COMPUTERS & CHEMICAL ENGINEERING

Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

(2018) Thomas Schütz et al.   RENEWABLE ENERGY

Impact of different time series aggregation methods on optimal energy system design

(2018) Leander Kotzur et al.   RENEWABLE ENERGY

Optimal Sizing and Design of Hybrid Power Systems

(2018) Jui-Yuan Lee et al.   ACS Sustainable Chemistry & Engineering

Demand Response Operation of Electricity-Intensive Chemical Processes for Reduced Greenhouse Gas Emissions: Application to an Air Separation Unit

(2018) Morgan T. Kelley et al.   ACS Sustainable Chemistry & Engineering

Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning

(2018) Matteo Giacomo Prina et al.   APPLIED ENERGY

Analysis of Costs and Time Frame for Reducing CO2 Emissions by 70% in the U.S. Auto and Energy Sectors by 2050

(2017) Sarang D. Supekar et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Selecting Representative Days for Capturing the Implications of Integrating Intermittent Renewables in Generation Expansion Planning Problems

(2017) Kris Poncelet et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Understanding future emissions from low-carbon power systems by integration of life-cycle assessment and integrated energy modelling

(2017) Michaja Pehl et al.   Nature Energy

Carpe diem: A novel approach to select representative days for long-term power system modeling

(2016) Paul Nahmmacher et al.   ENERGY

Clean grids with current technology

(2016) Mark Z. Jacobson   Nature Climate Change

Policy effects on microgrid economics, technology selection, and environmental impact

(2015) Michael Zachar et al.   COMPUTERS & CHEMICAL ENGINEERING

100% clean and renewable wind, water, and sunlight (WWS) all-sector energy roadmaps for the 50 United States

(2015) Mark Z. Jacobson et al.   Energy & Environmental Science

Toward Fully Renewable Electric Energy Systems

(2015) Ruth Dominguez et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes

(2015) Mark Z. Jacobson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The carbon abatement potential of high penetration intermittent renewables

(2012) Elaine K. Hart et al.   Energy & Environmental Science

Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review

(2011) Aqeel Ahmed Bazmi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

The relevance of the energy resource dynamics in the mid/long-term energy planning models

(2011) Gustavo Haydt et al.   RENEWABLE ENERGY