A Discrete-time Scheduling Model for Continuous Power-intensive Processes Considering Fatigue of Equipment

In the light of the growing renewable energy generation, matching of electricity supply and demand has become increasingly challenging. By participating in demand side management programs, industry can contribute to counter this challenge. However, the frequent adjustment of operation conditions according to volatile electricity prices leads to additional dynamic loads for the equipment. In this work, a mixed-integer linear programming based discrete-time model is proposed for scheduling of a single air separation unit, explicitly considering fatigue of equipment occurring during transient operation. Besides constraints for describing the feasible region and the process dynamics, this model includes constraints for considering mechanical fatigue of some key equipment. The resulting model is applied to investigate the impact of mechanical constraints on the potentials of demand side management.BMBF, 03SFK3X1, Verbundvorhaben SynErgie: Synchronisierte und energieadaptive Produktionstechnik zur flexiblen Ausrichtung von Industrieprozessen auf eine fluktuierende Energieversorgung. X1_Linde: Erforschung und Demonstration von Industrieprozessen und Produktionssystemen im Hinblick auf energetische Nachfrageflexibilitä

Scheduling of electricity consumption under spot prices

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1989.Title as it appears in M.I.T. Graduate List, Feb. 1989: Optimal scheduling of electricity usage under spot prices.Includes bibliographical references.by Bahman Daryanian.Ph.D

Subjective scaling of mental workload in a multi-task environment

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1980.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.Includes bibliographical references.by Bahman Daryanian.M.S

Introduction of the reduced surface energies at zero absolute temperature.

Thesis. 1977. B.S.--Massachusetts Institute of Technology. Dept. of Mechanical Engineering.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.Includes bibliographical references.B.S

Automatic control of electric thermal storage (heat) under real-time pricing. Final report

Real-time pricing (RTP) can be used by electric utilities as a control signal for responsive demand-side management (DSM) programs. Electric thermal storage (ETS) systems in buildings provide the inherent flexibility needed to take advantage of variations in prices. Under RTP, optimal performance for ETS operations is achieved under market conditions where reductions in customers` costs coincide with the lowering of the cost of service for electric utilities. The RTP signal conveys the time-varying actual marginal cost of the electric service to customers. The RTP rate is a combination of various cost components, including marginal generation fuel and maintenance costs, marginal costs of transmission and distribution losses, and marginal quality of supply and transmission costs. This report describes the results of an experiment in automatic control of heat storage systems under RTP during the winter seasons of 1989--90 and 1990--91