The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform

Shanshan Wang - One of the best experts on this subject based on the ideXlab platform.

  • study on demand side design parameters of solar Domestic Hot Water system in residential buildings
    Energy Procedia, 2015
    Co-Authors: Xilin Chen, Weiye Zhou, Shanshan Wang
    Abstract:

    Abstract Solar Domestic Hot Water system is widely used and developing fast in recent years in China. However many problems occur at the same time, for example more energy consumption by circulation pump, Water reheating, long investment payback period, and etc. Through analyzing the field-testing data of projects and investigating of different residential consumers, it was found that compared to actual Hot Water consumption the solar Domestic Hot Water systems were generally designed too large in capacity, which means the designed Hot Water demand is much greater than actual user consumption. This study compared different specifications and recommended design parameters value of Hot Water related standards, and analyzed the calculation methodology and design parameter ofHot Water quota. Finally problems in the system design are summarized and suggestions are proposed for designers and different stakeholders.

Henrik Madsen - One of the best experts on this subject based on the ideXlab platform.

  • non parametric method for separating Domestic Hot Water heating spikes and space heating
    Energy and Buildings, 2016
    Co-Authors: Peder Bacher, Philip Anton De Saintaubain, Lasse Engbo Christiansen, Henrik Madsen
    Abstract:

    Abstract In this paper a method for separating spikes from a noisy data series, where the data change and evolve over time, is presented. The method is applied on measurements of the total heat load for a single family house. It relies on the fact that the Domestic Hot Water heating is a process generating short-lived spikes in the time series, while the space heating changes in slower patterns during the day dependent on the climate and user behavior. The challenge is to separate the Domestic Hot Water heating spikes from the space heating without affecting the natural noise in the space heating measurements. The assumption behind the developed method is that the space heating can be estimated by a non-parametric kernel smoother, such that every value significantly above this kernel smoother estimate is identified as a Domestic Hot Water heating spike. First, it is showed how a basic kernel smoothing approach is too simple to deliver reliable results. Therefore the problem is generalized to a local least squares problem, which makes it possible to design a robust kernel smoother, which estimate is not affected by the spikes. Furthermore, the generalized model makes it possible to estimate higher order local polynomials. Finally, the results are evaluated and it is found that the method is capable of calculating a reliable separation of the total heat load into the two components.

Michael Negnevitsky - One of the best experts on this subject based on the ideXlab platform.

  • optimisation of switching programs for demand side management of Domestic Hot Water load
    Australasian Universities Power Engineering Conference, 2013
    Co-Authors: Koon Wong, Michael Negnevitsky
    Abstract:

    This paper presents a methodology employed in the evaluation tool for demand side management of Domestic Hot Water systems. The tool uses a thermally stratified Hot Water cylinder model and Monte Carlo simulations to generate Domestic Hot Water loads. An optimisation function employs proportional and integral methods in optimising the direct load control switching programs to meet peak reduction targets. Details of the methodology are described and results of case studies are provided. Optimisation issues such as the payback effect, starting and finishing times of the control period, and control step are addressed.

  • development of an evaluation tool for demand side management of Domestic Hot Water load
    Power and Energy Society General Meeting, 2013
    Co-Authors: Koon Wong, Michael Negnevitsky
    Abstract:

    This paper presents an evaluation tool for demand side management of Domestic Hot Water systems. The objective of the demand side management is to reduce peak residential demand via direct load control. The evaluation tool employs an energy flow and sectionalized temperature model of the Domestic Hot Water tank and uses bottom-up approach to build an aggregated residential Hot Water load profile. The potential reduction of peak loads is investigated via simulations of various shutdown programs that control the power supply to the Hot Water tank. Issues such as the user comfort, load diversity and payback effect are addressed.

Peder Bacher - One of the best experts on this subject based on the ideXlab platform.

  • non parametric method for separating Domestic Hot Water heating spikes and space heating
    Energy and Buildings, 2016
    Co-Authors: Peder Bacher, Philip Anton De Saintaubain, Lasse Engbo Christiansen, Henrik Madsen
    Abstract:

    Abstract In this paper a method for separating spikes from a noisy data series, where the data change and evolve over time, is presented. The method is applied on measurements of the total heat load for a single family house. It relies on the fact that the Domestic Hot Water heating is a process generating short-lived spikes in the time series, while the space heating changes in slower patterns during the day dependent on the climate and user behavior. The challenge is to separate the Domestic Hot Water heating spikes from the space heating without affecting the natural noise in the space heating measurements. The assumption behind the developed method is that the space heating can be estimated by a non-parametric kernel smoother, such that every value significantly above this kernel smoother estimate is identified as a Domestic Hot Water heating spike. First, it is showed how a basic kernel smoothing approach is too simple to deliver reliable results. Therefore the problem is generalized to a local least squares problem, which makes it possible to design a robust kernel smoother, which estimate is not affected by the spikes. Furthermore, the generalized model makes it possible to estimate higher order local polynomials. Finally, the results are evaluated and it is found that the method is capable of calculating a reliable separation of the total heat load into the two components.

Koon Wong - One of the best experts on this subject based on the ideXlab platform.

  • optimisation of switching programs for demand side management of Domestic Hot Water load
    Australasian Universities Power Engineering Conference, 2013
    Co-Authors: Koon Wong, Michael Negnevitsky
    Abstract:

    This paper presents a methodology employed in the evaluation tool for demand side management of Domestic Hot Water systems. The tool uses a thermally stratified Hot Water cylinder model and Monte Carlo simulations to generate Domestic Hot Water loads. An optimisation function employs proportional and integral methods in optimising the direct load control switching programs to meet peak reduction targets. Details of the methodology are described and results of case studies are provided. Optimisation issues such as the payback effect, starting and finishing times of the control period, and control step are addressed.

  • development of an evaluation tool for demand side management of Domestic Hot Water load
    Power and Energy Society General Meeting, 2013
    Co-Authors: Koon Wong, Michael Negnevitsky
    Abstract:

    This paper presents an evaluation tool for demand side management of Domestic Hot Water systems. The objective of the demand side management is to reduce peak residential demand via direct load control. The evaluation tool employs an energy flow and sectionalized temperature model of the Domestic Hot Water tank and uses bottom-up approach to build an aggregated residential Hot Water load profile. The potential reduction of peak loads is investigated via simulations of various shutdown programs that control the power supply to the Hot Water tank. Issues such as the user comfort, load diversity and payback effect are addressed.