Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants

Daniela Guericke, Ignacio Blanco, Juan Miguel Morales González, Henrik Madsen

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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Abstract

The consumption of biomass to produce power and heat has increased due to the carbon neutral policies. Combined heat and power (CHP) plants often combine biomass with other fuels, e.g., natural gas. The negotiation process for supply contracts involves many uncertainties due to the long planning horizon. The demand for biomass is uncertain, and heat demand and electricity prices vary during the planning period. We propose a method using stochastic optimization to support the
biomass and natural gas supply planning for CHP plants including short-term decisions for optimal market participation.
Original languageEnglish
Publication date2017
Number of pages1
Publication statusPublished - 2017
EventINFORMS Annual Meeting 2017 - Houston, United States
Duration: 21 Oct 201725 Oct 2017

Conference

ConferenceINFORMS Annual Meeting 2017
CountryUnited States
CityHouston
Period21/10/201725/10/2017

Cite this

Guericke, D., Blanco, I., Morales González, J. M., & Madsen, H. (2017). Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants. Abstract from INFORMS Annual Meeting 2017, Houston, United States.
Guericke, Daniela ; Blanco, Ignacio ; Morales González, Juan Miguel ; Madsen, Henrik. / Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants. Abstract from INFORMS Annual Meeting 2017, Houston, United States.1 p.
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title = "Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants",
abstract = "The consumption of biomass to produce power and heat has increased due to the carbon neutral policies. Combined heat and power (CHP) plants often combine biomass with other fuels, e.g., natural gas. The negotiation process for supply contracts involves many uncertainties due to the long planning horizon. The demand for biomass is uncertain, and heat demand and electricity prices vary during the planning period. We propose a method using stochastic optimization to support thebiomass and natural gas supply planning for CHP plants including short-term decisions for optimal market participation.",
author = "Daniela Guericke and Ignacio Blanco and {Morales Gonz{\'a}lez}, {Juan Miguel} and Henrik Madsen",
year = "2017",
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note = "INFORMS Annual Meeting 2017 ; Conference date: 21-10-2017 Through 25-10-2017",

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Guericke, D, Blanco, I, Morales González, JM & Madsen, H 2017, 'Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants', INFORMS Annual Meeting 2017, Houston, United States, 21/10/2017 - 25/10/2017.

Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants. / Guericke, Daniela; Blanco, Ignacio; Morales González, Juan Miguel; Madsen, Henrik.

2017. Abstract from INFORMS Annual Meeting 2017, Houston, United States.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants

AU - Guericke, Daniela

AU - Blanco, Ignacio

AU - Morales González, Juan Miguel

AU - Madsen, Henrik

PY - 2017

Y1 - 2017

N2 - The consumption of biomass to produce power and heat has increased due to the carbon neutral policies. Combined heat and power (CHP) plants often combine biomass with other fuels, e.g., natural gas. The negotiation process for supply contracts involves many uncertainties due to the long planning horizon. The demand for biomass is uncertain, and heat demand and electricity prices vary during the planning period. We propose a method using stochastic optimization to support thebiomass and natural gas supply planning for CHP plants including short-term decisions for optimal market participation.

AB - The consumption of biomass to produce power and heat has increased due to the carbon neutral policies. Combined heat and power (CHP) plants often combine biomass with other fuels, e.g., natural gas. The negotiation process for supply contracts involves many uncertainties due to the long planning horizon. The demand for biomass is uncertain, and heat demand and electricity prices vary during the planning period. We propose a method using stochastic optimization to support thebiomass and natural gas supply planning for CHP plants including short-term decisions for optimal market participation.

M3 - Conference abstract for conference

ER -

Guericke D, Blanco I, Morales González JM, Madsen H. Stochastic Programming for Fuel Supply Planning of Combined Heat and Power Plants. 2017. Abstract from INFORMS Annual Meeting 2017, Houston, United States.