Performance prediction of BIPV : approach for development of a model selection guideline

Onderzoeksoutput: Bijdrage aan congresPosterAcademic

Uittreksel

The simulation of BIPV systems permits one to address a wide range of tasks ranging from annual yield predictions to evaluation of design options, product development and validation of instantaneous system performance. There are a great many software programs to choose from, each of which is best suited to deal with specific tasks in various stages of project implementation. Many of the solar-oriented simulation tools, however, lack building energy modelling capabilities and vice versa. Thus, there is no “magic pill” to solve all the problems that BIPV practitioners’ face, while also no supporting guideline exists for choosing the appropriate software models to be employed in particular cases.

Lack of awareness about principles underlying the selection of appropriate simulation strategies underline the perceived need for a comprehensive guideline that will facilitate the identification of “fit for purpose” BIPV performance prediction methods. By setting up parsimonious (fit-for-purpose) models, practitioners will be able to create simulations that are just complex enough to resemble the given BIPV system for reaching the goals set.

This research project combines modelling and simulation with experimental activities in the SolarBEAT test facility as input for development of a guideline for appropriate selection of BIPV performance prediction methods. By identifying and translating the needs from practice and developing a reliable decision-support guidance, we will shed light on questions of how simulation tools can help to get more objective information in order to support design, installation, research and sales. Through an integrated approach which combines investigating factors in decision-making with technical aspects, such as exploring uncertainties in BIPV yield prediction, we will develop a guideline that is capable of providing guidance regarding which inputs and settings are the most critical to model accuracy, how detailed should the model be in order to pursue the stated objective, and which simulation tools are well-suited for addressing certain kinds of problems.

Congres

Congres9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland
LandNederland
StadBussum
Periode8/11/178/11/17
Internet adres

Vingerafdruk

Test facilities
Product development
Sales
Decision making
Uncertainty

Trefwoorden

    Citeer dit

    Surugin, D., Loonen, R., Valckenborg, R., & Hensen, J. L. M. (2017). Performance prediction of BIPV : approach for development of a model selection guideline. Postersessie gepresenteerd op 9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland, Bussum, Nederland.
    Surugin, D. ; Loonen, R. ; Valckenborg, R. ; Hensen, J.L.M./ Performance prediction of BIPV : approach for development of a model selection guideline. Postersessie gepresenteerd op 9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland, Bussum, Nederland.
    @conference{9ca52c1f359e4f6ebd4abc984730b88d,
    title = "Performance prediction of BIPV : approach for development of a model selection guideline",
    abstract = "The simulation of BIPV systems permits one to address a wide range of tasks ranging from annual yield predictions to evaluation of design options, product development and validation of instantaneous system performance. There are a great many software programs to choose from, each of which is best suited to deal with specific tasks in various stages of project implementation. Many of the solar-oriented simulation tools, however, lack building energy modelling capabilities and vice versa. Thus, there is no “magic pill” to solve all the problems that BIPV practitioners’ face, while also no supporting guideline exists for choosing the appropriate software models to be employed in particular cases. Lack of awareness about principles underlying the selection of appropriate simulation strategies underline the perceived need for a comprehensive guideline that will facilitate the identification of “fit for purpose” BIPV performance prediction methods. By setting up parsimonious (fit-for-purpose) models, practitioners will be able to create simulations that are just complex enough to resemble the given BIPV system for reaching the goals set.This research project combines modelling and simulation with experimental activities in the SolarBEAT test facility as input for development of a guideline for appropriate selection of BIPV performance prediction methods. By identifying and translating the needs from practice and developing a reliable decision-support guidance, we will shed light on questions of how simulation tools can help to get more objective information in order to support design, installation, research and sales. Through an integrated approach which combines investigating factors in decision-making with technical aspects, such as exploring uncertainties in BIPV yield prediction, we will develop a guideline that is capable of providing guidance regarding which inputs and settings are the most critical to model accuracy, how detailed should the model be in order to pursue the stated objective, and which simulation tools are well-suited for addressing certain kinds of problems.",
    keywords = "BIPV, Building performance simulation , Solar energy, Decision support system framework",
    author = "D. Surugin and R. Loonen and R. Valckenborg and J.L.M. Hensen",
    year = "2017",
    month = "11",
    day = "8",
    language = "English",
    note = "9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland ; Conference date: 08-11-2017 Through 08-11-2017",
    url = "http://sundaynl.nl/",

    }

    Performance prediction of BIPV : approach for development of a model selection guideline. / Surugin, D.; Loonen, R.; Valckenborg, R.; Hensen, J.L.M.

    2017. Postersessie gepresenteerd op 9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland, Bussum, Nederland.

    Onderzoeksoutput: Bijdrage aan congresPosterAcademic

    TY - CONF

    T1 - Performance prediction of BIPV : approach for development of a model selection guideline

    AU - Surugin,D.

    AU - Loonen,R.

    AU - Valckenborg,R.

    AU - Hensen,J.L.M.

    PY - 2017/11/8

    Y1 - 2017/11/8

    N2 - The simulation of BIPV systems permits one to address a wide range of tasks ranging from annual yield predictions to evaluation of design options, product development and validation of instantaneous system performance. There are a great many software programs to choose from, each of which is best suited to deal with specific tasks in various stages of project implementation. Many of the solar-oriented simulation tools, however, lack building energy modelling capabilities and vice versa. Thus, there is no “magic pill” to solve all the problems that BIPV practitioners’ face, while also no supporting guideline exists for choosing the appropriate software models to be employed in particular cases. Lack of awareness about principles underlying the selection of appropriate simulation strategies underline the perceived need for a comprehensive guideline that will facilitate the identification of “fit for purpose” BIPV performance prediction methods. By setting up parsimonious (fit-for-purpose) models, practitioners will be able to create simulations that are just complex enough to resemble the given BIPV system for reaching the goals set.This research project combines modelling and simulation with experimental activities in the SolarBEAT test facility as input for development of a guideline for appropriate selection of BIPV performance prediction methods. By identifying and translating the needs from practice and developing a reliable decision-support guidance, we will shed light on questions of how simulation tools can help to get more objective information in order to support design, installation, research and sales. Through an integrated approach which combines investigating factors in decision-making with technical aspects, such as exploring uncertainties in BIPV yield prediction, we will develop a guideline that is capable of providing guidance regarding which inputs and settings are the most critical to model accuracy, how detailed should the model be in order to pursue the stated objective, and which simulation tools are well-suited for addressing certain kinds of problems.

    AB - The simulation of BIPV systems permits one to address a wide range of tasks ranging from annual yield predictions to evaluation of design options, product development and validation of instantaneous system performance. There are a great many software programs to choose from, each of which is best suited to deal with specific tasks in various stages of project implementation. Many of the solar-oriented simulation tools, however, lack building energy modelling capabilities and vice versa. Thus, there is no “magic pill” to solve all the problems that BIPV practitioners’ face, while also no supporting guideline exists for choosing the appropriate software models to be employed in particular cases. Lack of awareness about principles underlying the selection of appropriate simulation strategies underline the perceived need for a comprehensive guideline that will facilitate the identification of “fit for purpose” BIPV performance prediction methods. By setting up parsimonious (fit-for-purpose) models, practitioners will be able to create simulations that are just complex enough to resemble the given BIPV system for reaching the goals set.This research project combines modelling and simulation with experimental activities in the SolarBEAT test facility as input for development of a guideline for appropriate selection of BIPV performance prediction methods. By identifying and translating the needs from practice and developing a reliable decision-support guidance, we will shed light on questions of how simulation tools can help to get more objective information in order to support design, installation, research and sales. Through an integrated approach which combines investigating factors in decision-making with technical aspects, such as exploring uncertainties in BIPV yield prediction, we will develop a guideline that is capable of providing guidance regarding which inputs and settings are the most critical to model accuracy, how detailed should the model be in order to pursue the stated objective, and which simulation tools are well-suited for addressing certain kinds of problems.

    KW - BIPV

    KW - Building performance simulation

    KW - Solar energy

    KW - Decision support system framework

    M3 - Poster

    ER -

    Surugin D, Loonen R, Valckenborg R, Hensen JLM. Performance prediction of BIPV : approach for development of a model selection guideline. 2017. Postersessie gepresenteerd op 9e Editie Sunday / Onderzoek Ontmoet Praktijk, 8 November 2017, Bussum, Nederland, Bussum, Nederland.