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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004227naa a2200457 4500
001oai:research.chalmers.se:eefe1499-7a70-4cbe-9d92-61ecd8312f5f
003SwePub
008190821s2019 | |||||||||||000 ||eng|
024a https://doi.org/10.1016/j.enconman.2019.1119262 DOI
024a https://research.chalmers.se/publication/5118692 URI
024a https://research.chalmers.se/publication/5121452 URI
040 a (SwePub)cth
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Beiron, Johanna,d 1992u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)beiron
2451 0a Dynamic modeling for assessment of steam cycle operation in waste-fired combined heat and power plants
264 1b Elsevier BV,c 2019
338 a electronic2 rdacarrier
520 a As the share of non-dispatchable energy sources in power systems increases, thermal power plants are expected to experience load variations to a greater extent. Waste-fired combined heat and power has multiple products and is today primarily operated for waste incineration and to generate heat. To consider load variations in the power demand at these plants may be a way to provide system services and obtain revenue, however, the transient interaction between power and district heating generation for the type of steam systems used should be studied. This work describes the transient characteristics and timescales of cogeneration steam cycles to discuss the operational interactions between power and district heating generation. A dynamic model of the steam cycle of a 48 MW waste-fired combined heat and power plant is developed using physical equations and the modeling language Modelica. The model is successfully validated quantitatively for both steady-state and transient operation with data from a reference plant and is shown capable of characterizing the internal dynamics of combined heat and power plant processes. Simulations are performed to analyze steam cycle responses to step changes, ramps and sinusoidal disturbances of boiler load changes and variability in district heating inlet temperature and flow. The results give insight on the process timescales for the specific case studied; for example, with the present design a 10% boiler load change requires up to 15 min for responses to settle, while the corresponding time for a 10% change in district heating flow or temperature show settling times within 5 min. Furthermore, increasing the boiler ramp rate from 2 to 4%/min could reduce the rise time of power generation by 42%, which could be of economic significance in day-ahead power markets.
650 7a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Energiteknik0 (SwePub)203042 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Energy Engineering0 (SwePub)203042 hsv//eng
650 7a TEKNIK OCH TEKNOLOGIERx Naturresursteknikx Energisystem0 (SwePub)207022 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Environmental Engineeringx Energy Systems0 (SwePub)207022 hsv//eng
653 a Modelica
653 a District heating
653 a Steam cycle
653 a Dynamic modeling
653 a Flexibility
653 a Combined heat and power
700a Mocholí Montañés, Rubén,d 1990u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)mochol
700a Normann, Fredrik,d 1982u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)normann
700a Johnsson, Filip,d 1960u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)fijo
710a Chalmers tekniska högskola4 org
773t Energy Conversion and Managementd : Elsevier BVg 198q 198x 0196-8904
856u https://research.chalmers.se/publication/512145/file/512145_Fulltext.pdfx primaryx freey FULLTEXT
856u https://research.chalmers.se/publication/512145/file/512145_Fulltext.pdf
8564 8u https://doi.org/10.1016/j.enconman.2019.111926
8564 8u https://research.chalmers.se/publication/511869
8564 8u https://research.chalmers.se/publication/512145

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