Volume 13 Issue 4
Mar.  2017
Article Contents

Martin Schmelas, Julien H?ll, Elmar Bollin. Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression[J]. Journal of Electronic Science and Technology, 2015, 13(4): 355-360. doi: 10.11989/JEST.1674-862X.505251
Citation: Martin Schmelas, Julien H?ll, Elmar Bollin. Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression[J]. Journal of Electronic Science and Technology, 2015, 13(4): 355-360. doi: 10.11989/JEST.1674-862X.505251

Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression

doi: 10.11989/JEST.1674-862X.505251
More Information
  • Author Bio:

    Martin Schmelas research interests include thermally activated building systems, prediction algorithms, energy management systems, and building automation systems, martin.schmelas@hs-offenburg.de;
    Julien Höll, julien.hoell@hs-offenburg.de;
    Elmar Bollin, bollin@hs-offenburg.de

    Martin Schmelas research interests include thermally activated building systems, prediction algorithms, energy management systems, and building automation systems, martin.schmelas@hs-offenburg.de;
    Julien Höll, julien.hoell@hs-offenburg.de;
    Elmar Bollin, bollin@hs-offenburg.de

  • Authors’ information: Martin Schmelas
  • Received Date: 2015-05-25
  • Rev Recd Date: 2015-07-15
  • Publish Date: 2015-12-25

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(306) PDF downloads(34) Cited by()

Related
Proportional views

Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression

doi: 10.11989/JEST.1674-862X.505251
  • Author Bio:

  • Corresponding author: Martin Schmelas

Abstract: The building sector and its heating and cooling represent one of the major consumer of energy worldwide. Simultaneously, the share of fluctuating generation of renewable energies in the energy mix increases. Therefore storage and demand side management technologies are required. The new adaptive and predictive control algorithm for thermally activated building systems (TABS) based on multiple linear regression (AMLR) presented in this paper enables the application of demand side management (DSM) strategies. Based on simulations, different strategies have been compared with each other. By applying the AMLR algorithm, electricity energy cost savings of 38% could be achieved compared to the conventional control strategy for TABS, while increasing the thermal comfort. At the same time, thermal energy demand can be reduced in the range between 4% to 8%, and pump operation time from 86% to 89%.

Martin Schmelas, Julien H?ll, Elmar Bollin. Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression[J]. Journal of Electronic Science and Technology, 2015, 13(4): 355-360. doi: 10.11989/JEST.1674-862X.505251
Citation: Martin Schmelas, Julien H?ll, Elmar Bollin. Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression[J]. Journal of Electronic Science and Technology, 2015, 13(4): 355-360. doi: 10.11989/JEST.1674-862X.505251

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return