Sizing a renewable microgrid for flow shop manufacturing using climate analytics. (10th April 2020)

• Record Type: Journal Article
• Authors: Subramanyam, Vinod; Jin, Tongdan; Novoa, Clara
• Is Part Of: Journal of cleaner production. Volume 252(2020)
• Publication Date: 2020-04-10
• Subjects: Levelized cost of energy -- Microgrid sizing -- Renewable portfolio -- Time-of-use -- Flow shop scheduling -- Climate analytics; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2019.119829
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: A variety of methods have been proposed to assist the integration of microgrid in flow shop systems with the goal of attaining eco-friendly operations. There is still a lack of integrated planning models in which renewable portfolio, microgrid capacity and production plan are jointly optimized under power demand and generation uncertainty. This paper aims to develop a two-stage, mixed-integer programming model to minimize the levelized cost of energy of a flow shop powered by onsite renewables. The first stage minimizes the annual energy use subject to a job throughput requirement. The second stage aims at sizing wind turbine, solar panels and battery units to meet the hourly electricity needs during a year. Climate analytics are employed to characterize the stochastic wind and solar capacity factor on an hourly basis. The model is tested in four locations with a wide range of climate conditions. Three managerial insights are derived from the numerical experiments. First, time-of-use tariff significantly stimulates the wind penetration in locations with medium or low wind speed. Second, regardless of the climate conditions, large-scale battery storage units are preferred under time-of-use rate but it is not the case under a net metering policy. Third, wind- and solar-based microgrid is scalable and capable of meeting short-term demand variation and long-term load growth with a stable energy cost rate. Graphical abstract: A Flow Shop System Integrated with Renewable Microgrid. Image 10472 Highlights: Joint approach to microgrid sizing and flow shop scheduling under load and generation uncertainty. Addressing hourly and seasonality variation of renewable generation under time-of-use tariff. Characterizing hourly capacity factor using 0.77 million wind and weather data over eleven years. Using levelized cost of energy for assessing the economic viability of microgrid technology.