Abstract
Buildings cause to meanly one-third of carbon dioxide release and energy consumption. That is why, decreasing fuel consumption in building is the considerable aim for scientists and engineers. The easiest way of this is to insulate building walls. Insulation thickness optimization is conducted via a new method named as combined environmental and economic method (CEEM). Through this method, environmental costs are integrated in the fuel and insulation material costs. Environmental pollution cost of carbon dioxide, insulation materials and fuels are added to their cost, and total annual cost for the system is calculated and results are investigated according to insulation thickness. In this paper, insulation thickness optimization is researched for cooling applications. Results for the life cycle-integrated economic analysis and economic approach in terms of insulation thickness are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- A :
-
The area of the heat transfer area (m2)
- C s :
-
Net money save for the economic approach ($/m2)
- C T :
-
Total cost for the economic approach ($/m2)
- CEEM:
-
Combined economic and environmental methods
- COP:
-
Coefficient of performance
- c el :
-
Specific cost of the electricity ($/kWh)
- c ins :
-
Specific cost of the insulation material ($/m3)
- \(D_{{{\text{CO}}_{2} }}\) :
-
Cost of CO2 for CEEM ($/m2)
- D e :
-
Environmental cost of the electricity for CEEM ($/m2)
- D ins :
-
Cost of insulation combined with environmental cost ($/m2)
- D s :
-
Net saving for the CEEM ($/m2)
- D T :
-
Total cost for the CEEM ($/m2)
- \(d_{\text{el}}\) :
-
Environmental effect of electricity (kg/kWh)
- \(d_{{{\text{CO}}_{2} }}\) :
-
Environmental cost of CO2 ($/kg)
- dt :
-
Annual operation hours (h)
- GWPins:
-
The global warming potential of the insulation material
- g :
-
Incorporated with inflation rate
- i :
-
Interest rate
- i* :
-
Interest rate adjusted for the inflation rate
- k :
-
Thermal conductivity of the insulation material (W/mK)
- N :
-
Lifetime of the insulation material (year)
- PWF:
-
The present worth factor
- \(\dot{Q}\) :
-
Heat transfer rate (W)
- PPC:
-
Payback period for economic approach (year)
- PPD:
-
Payback period for CEEM approach (year)
- R T,nins :
-
Total thermal resistance for non-insulation conditions (m2K/W)
- R T,ins :
-
Total thermal resistance for insulation conditions (m2K/W)
- T a :
-
Ambient temperatures (K)
- T s :
-
Design temperatures (K)
- U nins :
-
Heat transfer coefficient for the insulation conditions (W/m2K)
- U ins :
-
Heat transfer coefficient for the non-insulated conditions
- x :
-
Insulation thickness (m)
- ρ ins :
-
Density of the insulation material (kg/m3)
References
National Energy Conservation Center (2006) The Principles of Energy Management in Industry, Ankara
Dombaycı OA (2009) Degree-days maps of Turkey for various base temperatures. Energy 34:1807–1812
Kurekci NA (2016) Determination of optimum insulation thickness for building walls by using heating and cooling degree-day values of all Turkey’s provincial centers. Energy Build 118:197–213
Ozel M (2013) Determination of optimum insulation thickness based on cooling transmission load for building walls in a hot climate. Energy Convers Manage 66:106–114
Soylemez MS, Unsal M (1999) Optimum insulation thickness for refrigeration applications. Energy Convers Manage 40:13–21
Bolattürk A (2008) Optimum insulation thicknesses for building walls with respect to cooling and heating degree-hours in the warmest zone of Turkey. Build Environ 43:1055–1064
Arslan O, Kose R (2006) Thermoeconomic optimization of insulation thickness considering condensed vapor in buildings. Energy Build 38:1400–1408
Arslan O, Ozgur MA, Yildizay HD, Kose R (2009) Fuel effects on optimum insulation thickness: an exergitic approach. Energy Sources Part A Recovery Utilization Environ Effects 32:128–147
Kanbur BB, Xiang L, DubeyS, Choo FH, Duan F (2017) ‘Life cycle integrated thermoeconomic assessment method for energy conversion systems’, Energy Convers Manage 148:1409–25
Ardente F, Beccali M, Cellura M, Mistretta M (2008) Building energy performance:a LCA case study of kenaf-fibres insulation board. Energy Build 40:1–10
LOCOG Guidelines on carbon emissions of products and services—version 1, http://learninglegacy.independent.gov.uk/publications/locog-guidelines-on-carbon-emissions-of-products-and-ser.php. Access date: February 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Açıkkalp, E., Kandemir, S.Y., Altuntaş, Ö., Karakoc, T.H. (2020). Optimum Insulation Thickness for Cooling Applications Using Combined Environmental and Economic Method. In: Dincer, I., Colpan, C., Ezan, M. (eds) Environmentally-Benign Energy Solutions. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-20637-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-20637-6_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20636-9
Online ISBN: 978-3-030-20637-6
eBook Packages: EnergyEnergy (R0)