Michael Stadler

TL;DR: In this paper, the authors presented an optimization approach to choose such systems and their operating schedules using Berkeley Lab's Distributed Energy Resources Customer Adoption Model (DER-CAM), extended to incorporate electrical and thermal storage options.

TL;DR: In this paper, the authors present a review of the literature relevant to value streams occurring in micro-grids that may contribute to offset the increased investment costs and improve the economic viability of micro-grid deployment.

TL;DR: In this paper, the authors presented a novel demand response estimation framework for residential and commercial buildings using a combination of EnergyPlus and two-state models for thermostatically controlled loads, which can predict DR potential with 80-90% accuracy for more than 90% of data points.

TL;DR: In this paper, the authors present an optimization model formulated as a mixed-integer linear program, which determines the optimal technology portfolio, the optimal DER placement, and the associated optimal dispatch, in a microgrid with multiple energy types.

TL;DR: Results show that used PEV batteries can create significant monetary value if subsequently used for stationary applications, and this scenario has been modeled with the Distributed Energy Resources Customer Adoption Model (DER-CAM), which identifies optimal equipment combinations to meet microgrid requirements at minimum cost, carbon footprint, or other criteria.