Research Output

Parked Electric Vehicle’s Cabin Temperature Management Using Photovoltaic Powered Ventilation

  District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. Abstract This paper presents how the electric vehicle roof integrated photovoltaic (PV) powered ventilation can be used for controlling the climate of the car. In this work, a fully-functional Renault Zoe electric car has been used to conduct experiments for PV powered ventilation. These experiments have been part of a wider research project of testing electric vehicles of the Edinburgh Napier University's Transport Research Institute. The present work illustrates performance evaluation of electric car ventilation, when roof-mounted PV modules were used to operate DC powered fans for ventilation. It was found that the motor-fan selection for removing the warm air from cabin space is of important (i.e. motor-fan operating points have to be near to the maximum power points of PV modules under varying solar radiation). In this article, experimental results are presented and analysed.

  • Type:

    Conference Paper

  • Date:

    31 December 2017

  • Publication Status:

    Published

  • Publisher

    Elsevier BV

  • DOI:

    10.1016/j.egypro.2017.12.054

  • Cross Ref:

    S187661021735782X

  • ISSN:

    1876-6102

  • Library of Congress:

    TD Environmental technology. Sanitary engineering

  • Dewey Decimal Classification:

    621.3 Electrical & electronic engineering

  • Funders:

    Edinburgh Napier Funded

Citation

Kolhe, M., Muneer, T., & Adhikari, S. (2017). Parked Electric Vehicle’s Cabin Temperature Management Using Photovoltaic Powered Ventilation. Energy Procedia, 142, 343-349. https://doi.org/10.1016/j.egypro.2017.12.054

Authors

Keywords

Photovoltaic (PV) ventilation, Electric cars, PV electro-mechanical system,

Monthly Views:

Available Documents