Výsledky vyhledávání - "Garrido-Marijuan"

Akademický článek

Time of the week AutoRegressive eXogenous (TOW-ARX) model to predict thermal consumption in a large commercial mall

Autor: Iñigo Lopez-Villamor, Olaia Eguiarte, Beñat Arregi, Roberto Garay-Martinez, Antonio Garrido-Marijuan

Publikováno v: Energy Conversion and Management: X, Vol 24, Iss , Pp 100777- (2024)

This paper proposes a procedure to build a Time of the Week AutoRegressive eXogenous (TOW-ARX) model, indexed with respect to time and day of the week, to characterize heat consumption in tertiary buildings. Models for building heat load characteriza

Externí odkaz: https://doaj.org/article/783720a0140b4e6a9cd99c508529748c

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Akademický článek

Time of the week AutoRegressive eXogenous (TOW-ARX) model to predict thermal consumption in a large commercial mall

Autor: Lopez-Villamor, Iñigo ^{a, b, ⁎}, Eguiarte, Olaia ^a, Arregi, Beñat ^a, Garay-Martinez, Roberto ^c, Garrido-Marijuan, Antonio ^a

Publikováno v: In Energy Conversion and Management: X October 2024 24

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Akademický článek

Engaging domestic users on demand response for heating cost reduction with a recommendation tool: Case study in Belgrade

Autor: O. Eguiarte, P. de Agustín-Camacho, A. Garrido-Marijuan, M. Vukovic, L. del Portillo, A. Romero-Amorrortu

Publikováno v: Energy Reports, Vol 8, Iss , Pp 325-331 (2022)

The European Union has established a legislative framework that aims to enable consumers and businesses to take information-based decisions to save energy and money. Additionally, the increase of Distributed Energy Resources (both on generation and c

Externí odkaz: https://doaj.org/article/7511c5c86fb9494fa8b797c4a6981f56

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Akademický článek

Integrated model concept for district energy management optimisation platforms

Autor: Sánchez, Víctor F., Garrido Marijuan, Antonio

Publikováno v: In Applied Thermal Engineering September 2021 196

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Retrofitting District Heating Systems. Lessons learned from the Planning, Engineering and Data perspectives

Autor: Garrido-Marijuan, Antonio, Garay-Martinez, Roberto

District Heating (DH) systems are one of the most energy efficient heating systems in urban environments, with proven reliability within many decades already. Due to the complexity and size of these energy infrastructures, serving large areas up to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3490445f972fdf2cf385819bc8ddd491

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Akademický článek

Autor: Antonio Garrido Marijuan, Roberto Garay, Mikel Lumbreras, Víctor Sánchez, Olga Macias, Juan Perez Sainz De Rozas

Publikováno v: Proceedings, Vol 65, Iss 1, p 8 (2020)

District heating networks deliver around 13% of the heating energy in the EU, being considered as a key element of the progressive decarbonization of Europe. The H2020 REnewable Low TEmperature District project (RELaTED) seeks to contribute to the en

Externí odkaz: https://doaj.org/article/6f280d72f1594bd9bd9f1f64112abf96

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Data-driven assessment for the supervision of District Heating Networks

Autor: Olaia Eguiarte, Antonio Garrido-Marijuan, Roberto Garay-Martinez, Margus Raud, Indrek Hagu

There is an ongoing trend towards temperature reduction in District Heating Networks, allowing for the reduction of distribution heat loss and enabling the integration of low exergy heat production systems. There is a clear scientific consensus on th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f3f307d16736f7d38f63305011028d
http://hdl.handle.net/11556/1435

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Akademický článek

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Optimization of Heat Production for Electricity Market Participation

Autor: Guericke, Daniela, Schledorn, Amos, Madsen, Henrik, Garay-Martinez, Roberto, Garrido-Marijuan, Antonio

Publikováno v: Handbook of Low Temperature District Heating, 179-193
STARTPAGE=179;ENDPAGE=193;TITLE=Handbook of Low Temperature District Heating
Handbook of Low Temperature District Heating ISBN: 9783031104091

In this chapter, we introduce optimization methods for production scheduling and power market participation for district heating systems under uncertainty. We present an optimization model for scheduling the production units using mixed-integer linea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f138c371ea5281aa76432891ca8d9fef
https://research.utwente.nl/en/publications/e2111b41-e008-462c-a149-cf66120ab621

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Data-Driven Methods for Efficient Operation of District Heating Systems

Autor: Bergsteinsson, Hjörleifur G., Møller, Jan Kloppenborg, Thilker, Christian Ankerstjerne, Guericke, Daniela, Heller, Alfred, Nielsen, Torben Skov, Madsen, Henrik, Garay-Martinez, Roberto, Garrido-Marijuan, Antonio

Publikováno v: Bergsteinsson, H G, Møller, J K, Thilker, C A, Guericke, D, Heller, A, Nielsen, T S & Madsen, H 2022, Data-Driven Methods for Efficient Operation of District Heating Systems . in Handbook of Low Temperature District Heating. Green Energy and Technology . Springer, Green Energy and Technology, pp. 129–163 . https://doi.org/10.1007/978-3-031-10410-7_6
Handbook of Low Temperature District Heating ISBN: 9783031104091
Handbook of Low Temperature District Heating, 129-163
STARTPAGE=129;ENDPAGE=163;TITLE=Handbook of Low Temperature District Heating

In this chapter, data-driven methods for the efficient operation of DHSs are described. DHSs are inherently non-linear and time-varying systems as the heating demand is highly influenced by non-linear dependencies on the weather conditions as well as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f085f5db060f36abb4e5b7d03bf52bf5
https://doi.org/10.1007/978-3-031-10410-7_6

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