Optimizing Renewable Energy Siting in New York State: A Scenario-Based Approach for Onshore Wind and Utility-Scale Solar Development

Authors: kaviyarasan Ganesamoorthy, Neha Patankar

SUNY Campus: Binghamton University

Presentation Type: Poster

Location: Old Union Hall

Presentation #: 54

Timeslot: Session A 9:00-10:00 AM

Abstract: As New York moves toward its clean energy goals—70% renewable energy by 2030, 100% zero-emission electricity by 2040, and an 85% emissions reduction by 2050—strategic renewable energy siting is essential. The Inflation Reduction Act (IRA) accelerates this transition with financial incentives, making efficient site selection crucial. Identifying locations that maximize benefits while addressing environmental, regulatory, and land use constraints is key to deploying large-scale renewable projects. This research develops a methodology to identify optimal Candidate Project Areas (CPAs) for onshore wind and utility-scale PV solar deployment in New York State. Using linear programming (LP), it generates 10 scenario-specific models aligned with stakeholder goals, including those of policymakers, grid operators, state regulators, and renewable energy developers. By downscaling the power system capacity expansion model, the state is divided into eight zones for a detailed regional analysis. The model integrates budget constraints, capacity needs, and stakeholder priorities to evaluate siting options. The methodology visualizes the spatial distribution of CPAs under different scenarios, optimizing renewable energy siting while balancing capacity requirements, budget limitations, and stakeholder interests. It provides insights for decision-making and policy development, supporting an efficient and equitable clean energy transition. This framework ensures that New York can achieve its renewable energy targets while overcoming siting challenges that often hinder large-scale deployment.