See discussions, st ats, and author pr ofiles f or this public ation at : https://www .researchgate.ne t/public ation/331695168
An experimental study on of the effect of various deflectors used for light
trucks in Indian subcontinent
Article in Ener gy Pr ocedia · Februar y 2019
DOI: 10.1016/ j.egypro.2019.02.115
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Mohamed Z aid
RMIT Univ ersity
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Energy Procedia 00 (201 7) 000 –000
www.elsevier.com/locate/procedia
1876- 6102 © 201 7The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling .
The 15th International Symposium on District Heating and Cooling
Assessing the feasibility of using the heat demand -outdoor
temperature function for a long- term district heat demand forecast
I. Andrića,b,c*, A. Pinaa, P. Ferrãoa, J. Fournierb., B. Lacarrièrec, O. Le Correc
aIN+ Center for Innovation, Technology and Policy Research - Instituto Superior Técnico ,Av. Rovisco Pais 1, 1049- 001 Lisbon, Portugal
bVeolia Recherche & Innovation, 291 Avenue Dreyfous Daniel, 78520 Limay , France
cDépartement Systèmes Énergétiques et Environnement -IMT Atlantique, 4 r ue Alfred Kastler, 44300 Nantes, France
Abstract
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 heatsales . 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 tempe rature 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
scenar ios, 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.
©2017 The Authors. Published by El
ICEP2018_An experimental study on of the effect of various deflectors used for lighttrucks in Indian subcontinent
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