A business case for on-site generation: The BD biosciences pharmingen project

Firestone, Ryan; Creighton, Charles; Bailey, Owen; Marnay, Chris; Städler, Michael

doi:10.2172/821328

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…The Distributed Energy Resources Customer Adoption Model is a sort of model that can anticipate DER uptake by commercial clients. Early results demonstrate that, in all cases studied, ordinary business clients can embrace DER: [105] appears to be the first time a tiny gas turbine producing system feeding a microgrid is disclosed; [106] examines a DER business case at the "San Diego biotechnology supply company BD Biosciences Pharmingen", which evaluates DERs for a facility with a base load of 200-300 kW. The site is simulated as a DER-CAM, which is comparable to a model created at "Berkeley Lab" to find the most cost-effective DER system for a particular location.…”

Section: Addressing the Limitations Of Microgridsmentioning

confidence: 96%

Integrated Distributed Energy Resources (DER) and Microgrids: Modeling and Optimization of DERs

Twaisan

Barışçı

2022

Electronics

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In the near future, the notion of integrating distributed energy resources (DERs) to build a microgrid will be extremely important. The DERs comprise several technologies, such as diesel engines, micro turbines, fuel cells, photovoltaic, small wind turbines, etc. The coordinated operation and control of DER together with controllable loads and storage devices, such as flywheels, energy capacitors and batteries, are central to the concept of microgrid. Microgrids can operate interconnected to the main distribution grid, or in an islanded mode. This paper reviews the studies on microgrid technologies. The modeling and optimization methodologies of DERs are also presented and discussed in this paper along with system control approaches for DERs and microgrids. The review findings indicate that the use of multimodal indicators that take into consideration the financial, technological, ecological, and social elements of microgrids increased the community’s and stakeholders’ reaction capability. The microgrid structure under consideration comprises several types of combined heat power devices, boilers, and various types of DERs, including FC units, distributed generators, and MTs. Moreover, compared to grid-connected mode, the microgrid’s total operation cost is significantly higher in isolated mode.

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Section: Addressing the Limitations Of Microgridsmentioning

confidence: 96%

Integrated Distributed Energy Resources (DER) and Microgrids: Modeling and Optimization of DERs

Twaisan

Barışçı

2022

Electronics

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“…xxxiv During the process of developing DER-CAM, case studies were performed by the LBNL DER team Firestone et al 2003). The intent of the case-studies was to validate DER-CAM by comparing investment solutions posed by DER-CAM with those chosen by sites.…”

Section: Dg Case Studiesmentioning

confidence: 99%

The Effect of Magnetic Field on HTS Leads What Happens when thePower Fails at RAL?

Green¹

2007

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This report describes the development and application of a dispatch optimization algorithm for integrated energy systems (IES) comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, nearoptimal decisions under significant uncertainty and complex objective functions. The optimization algorithm uses a finite set of randomly generated future scenarios to approximate the true, stochastic future; constraints are included that prevent solutions to this approximate problem from deviating from solutions to the actual problem.The algorithm is then expressed as a mixed integer linear program, to which a powerful commercial solver is applied. A case study of United States Postal Service Processing and DistributionCenters (P&DC) in four cities and under three different electricity tariff structures is conducted to 1) determine the added value of optimal control to a cogeneration system over current, heuristic control strategies; 2) determine the value of limited 2 electric load curtailment opportunities, with and without cogeneration; and 3) determine the trade-off between least-cost and least-carbon operations of a cogeneration system.Key results for the P&DC sites studied include 1) in locations where the average electricity and natural gas prices suggest a marginally profitable cogeneration system, optimal control can add up to 67% to the value of the cogeneration system; optimal control adds less value in locations where cogeneration is more clearly profitable; 2) optimal control under real-time pricing is a) more complicated than under typical time-of-use tariffs and b) at times necessary to make cogeneration economic at all; 3) limited electric load curtailment opportunities can be more valuable as a compliment to the cogeneration system than alone; and 4) most of the trade-off between least-cost and least-carbon IES is determined during the system design stage; for the IES system considered, there is little difference between leastcost control and least-carbon control.i Preface This report describes the development and application of a dispatch optimization algorithm for integrated energy systems comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, near-optimal decisions under significant uncertainty and complex objective functions.This work makes headway in the more general and daunting field of multi-stage operational optimization, where multi-stage is in the hundreds of time-steps and optimization is over many mixed-integer decision variables. The context of the work, however, is an application to commercial and industrial energy consumption, a topic rising in popularity on the coat-tails of economic...

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“…xxxiv During the process of developing DER-CAM, case studies were performed by the LBNL DER team (Bailey et al 2003 andFirestone et al 2003). In order to be expressed as a MILP, randomly generated scenarios are used to represent stochastic parameters.…”

Section: Dg Case Studiesmentioning

confidence: 99%

“…During the process of developing DER-CAM, case studies were performed by the LBNL DER team, including the author of this dissertation (Bailey et al 2003 andFirestone et al 2003). The intent of the case-studies was to validate DER-CAM by comparing investment solutions posed by DER-CAM with those chosen by sites.…”

Section: Dg Case Studiesmentioning

confidence: 99%

Optimal Real-time Dispatch for Integrated Energy Systems

Firestone

2007

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This report describes the development and application of a dispatch optimization algorithm for integrated energy systems (IES) comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, nearoptimal decisions under significant uncertainty and complex objective functions. The optimization algorithm uses a finite set of randomly generated future scenarios to approximate the true, stochastic future; constraints are included that prevent solutions to this approximate problem from deviating from solutions to the actual problem. The algorithm is then expressed as a mixed integer linear program, to which a powerful commercial solver is applied. A case study of United States Postal Service Processing and Distribution Centers (P&DC) in four cities and under three different electricity tariff structures is conducted to 1) determine the added value of optimal control to a cogeneration system over current, heuristic control strategies; 2) determine the value of limited My doctoral experience was made meaningful, enjoyable, and possible with the help and support of many, many people. It is with great pleasure that I have an opportunity to acknowledge some of them. I would like to start by thanking my parents, Marc and Carole Firestone, who raised me to take education seriously, be curious, and pursue what interests me. I would further like to thank my father for keeping tabs on my research and offering his empathy during my times of frustration. Many other relatives have also provided encouragement throughout. Thanks to my grandparents Sam and Bertha Farber and Leon and Nancy Firestone-I wish I could have finished a little sooner so that you could enjoy this more. Thanks also to my sister Lisa, my cousins, and my aunts and uncles who have encouraged me and challenged me to explain my work in simple terms. Many faculty members at U.C. Berkeley have given generously of their time and energy. I would like to thank the following professors for there assistance: • Alice Agogino, Mechanical Engineering-qualifying exam committee member. Alice and her research group were very kind in critiquing a trial run of my exam presentation. • Dave Auslander, Mechanical Engineering-dissertation committee chair. • Van Carey, Mechanical Engineering-qualifying exam committee member.

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A business case for on-site generation: The BD biosciences pharmingen project

Cited by 5 publications

References 3 publications

Integrated Distributed Energy Resources (DER) and Microgrids: Modeling and Optimization of DERs

Integrated Distributed Energy Resources (DER) and Microgrids: Modeling and Optimization of DERs

The Effect of Magnetic Field on HTS Leads What Happens when thePower Fails at RAL?

Optimal Real-time Dispatch for Integrated Energy Systems

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