An engineering-economic analysis of combined heat and power technologies in a (mu)grid application

Bailey, Owen; Ouaglal, Boubekeur; Bartholomew, Emily S.; Marnay, Chris; Bourassa, Norman

doi:10.2172/801951

Cited by 14 publications

(11 citation statements)

References 8 publications

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“…The next study extended that model to account for carbon taxes (see Siddiqui et al 2002). CHP technologies were cursorily implemented in the next round by accounting for heating and cooling loads (see Bailey et al 2002). It was found, in this case, the availability of heat exchangers and absorption cooling enabled the µGrid to reduce the cost of meeting its energy needs even further.…”

Section: Model Descriptionmentioning

confidence: 99%

Distributed energy resources customer adoption modeling with combined heat and power applications

Siddiqui¹,

Firestone²,

Ghosh³

et al. 2003

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PrefaceIt has become apparent that the energy needs of today are not necessarily best met by the traditional, centralized power system paradigm. Increased desire for efficiency, security, stability, and local control of power quality and reliability all suggest modification of the central station tradition. Concurrently, the technologies required for such a paradigm shift are becoming a reality. What this new path might look like, and how it might be shaped by technological, economic and political factors, is addressed herein.

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Section: Model Descriptionmentioning

confidence: 99%

Distributed energy resources customer adoption modeling with combined heat and power applications

Siddiqui¹,

Firestone²,

Ghosh³

et al. 2003

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“…The next study extended that model to account for carbon taxes (see ). CHP technologies were implemented in the next round by accounting for heating and cooling loads (see Bailey et al (2002)). It was found in this case that the availability of heat exchangers and absorption cooling enabled the µGrid to reduce the cost of meeting its energy needs even further.…”

Section: F2 Model Descriptionmentioning

confidence: 99%

Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

Bailey¹,

Creighton²,

Firestone³

et al. 2003

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This report describes a Berkeley Lab effort to model the economics and operation of small-scale (<500 kW) on-site electricity generators based on real-world installations at several example customer sites. This work builds upon the previous development of the Distributed Energy Resource Customer Adoption Model (DER-CAM), a tool designed to find the optimal combination of installed equipment, and idealized operating schedule, that would minimize the site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a historic test period, usually a recent year. This study offered the first opportunity to apply DER-CAM in a real-world setting and evaluate its modeling results. DER-CAM has three possible applications: first, it can be used to guide choices of equipment at specific sites, or provide general solutions for example sites and propose good choices for sites with similar circumstances; second, it can additionally provide the basis for the operations of installed on-site generation; and third, it can be used to assess the market potential of technologies by anticipating which kinds of customers might find various technologies attractive.A list of approximately 90 DER candidate sites was compiled and each site's DER characteristics and their willingness to volunteer information was assessed, producing detailed information on about 15 sites of which five sites were analyzed in depth. The five sites were not intended to provide a random sample, rather they were chosen to provide some diversity of business activity, geography, and technology. More importantly, they were chosen in the hope of finding examples of true business decisions made based on somewhat sophisticated analyses, and pilot or demonstration projects were avoided. Information on the benefits and pitfalls of implementing a DER system was also presented from an additional ten sites including agriculture, education, health care, airport, and manufacturing facilities.The five sites are:1. A&P Waldbaum's Supermarket: A Long Island supermarket that has installed a microturbine with CHP for desiccant dehumidification. 2. Guarantee Savings Building: An historic office building in California's central valley that has undergone a major remodel and will house two federal agencies. Three fuel cells with an absorption chiller are being installed. 3. The Orchid: A Hawaiian resort that has installed propane fired reciprocating engines and an absorption chiller. 4. BD Biosciences Pharmingen: A San Diego biotech company that is installing reciprocating engines with heat recovery for the almost constant space heating required because of frequent air changes needed for laboratories. 5. USPS San Bernardino: A postal sorting facility in southern California that is considering a reciprocating engine, possibly with absorption cooling.All of these sites provided enough information on their loads, the tariffs they face, any subsidies or incentives they expected, and their analysis of t...

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“…This enhancement involved many assumptions and modeling difficulties, but resulted in the ability to jointly optimize power generation with CHP systems. DER-CAM was then further developed through integration with Geographical Information Systems (GIS) (Edward et al (2002)), and applied to the modeling of a hypothetical microgrid in San Diego that was based on a collection of businesses in that city (Bailey et al (2002)). DER-CAM is also capable of analysing emissions studies, as reported in , where the authors studied the effects of a carbon tax on the adoption of DER technologies.…”

Section: Appendix A: Der-cam At the Berkeley Labmentioning

confidence: 99%

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

Firestone¹,

Creighton²,

Bailey³

et al. 2003

Self Cite

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An engineering-economic analysis of combined heat and power technologies in a (mu)grid application

Cited by 14 publications

References 8 publications

Distributed energy resources customer adoption modeling with combined heat and power applications

Distributed energy resources customer adoption modeling with combined heat and power applications

Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

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

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