Economic and environmental impacts of insulation in district heating pipelines

Başoğul, Yusuf; Keçebaş, Ali

doi:10.1016/j.energy.2011.07.049

Cited by 71 publications

(44 citation statements)

References 23 publications

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“…The annual heat amount carried in thermal systems may be determined using heat degree days [1,[12][13][14][15][16]. For hourly data, annual heating degree day (HDD) value is…”

Section: Methodsmentioning

confidence: 99%

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Farkli İkli̇m Şartlari İçi̇n Hava Boşluklu Opti̇mum Boru Yalitim Kalinliğinin Beli̇rlenmesi̇nde Yaşam Döngüsü Mali̇yet Anali̇zi̇

Başoğul

2018

Mugla Journal of Science and Technology

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“…The annual heat amount carried in thermal systems may be determined using heat degree days [1,[12][13][14][15][16]. For hourly data, annual heating degree day (HDD) value is…”

Section: Methodsmentioning

confidence: 99%

“…Using HDD, the annual energy amount transferred by fluid within the pipe with the heating process is assumed to be equal to the annual heat losses from the pipe to the external environment, and it may be generally expressed as [1,[12][13][14][15][16]:…”

Section: Methodsmentioning

confidence: 99%

Farkli İkli̇m Şartlari İçi̇n Hava Boşluklu Opti̇mum Boru Yalitim Kalinliğinin Beli̇rlenmesi̇nde Yaşam Döngüsü Mali̇yet Anali̇zi̇

Başoğul

2018

Mugla Journal of Science and Technology

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“…Insulation materials and construction properties, parameters of the heating loss and the exergetic heat loss values can be determined by using degree day's method. Many articles can be found in the literature about determining of the optimum insulation thickness by different methods (Ucar, 2010;Keçebaş, 2012;Başoğul and Keçebaş, 2011;Vuthaluru, 2010a, 2010b;Öztürk et al, 2006;Zak and Al-Turki, 2000;Kalyon and Sahin, 2010;Kaynakli, 2014). In Keçebaş (2012), the optimum insulation thickness was determined using the exergetic life cycle cost for different outdoor temperature and insulation materials.…”

Section: Introductionmentioning

confidence: 99%

“…In Keçebaş (2012), the optimum insulation thickness was determined using the exergetic life cycle cost for different outdoor temperature and insulation materials. In Başoğul and Keçebaş (2011), the optimum insulation thickness, energy saving for a lifetime of ten years, payback period and the emissions of CO 2 , CO and SO 2 are calculated for nominal pipe by means of the life cycle cost. A method and a correlation were developed for the estimation of thermal insulation thickness in Vuthaluru (2010a, 2010b).…”

Section: Introductionmentioning

confidence: 99%

Optimum insulation thickness for piping system using exergy and environmental methods

Özel

Açıkkalp

Görgün

et al. 2017

IJGW

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Optimum insulation thickness for a piping system is investigated using a novel method that combines exergy and environmental analysis. Rockwool and glasswool are chosen as insulation materials for the system and the analysis was carried out for the city of Bilecik, located in the Marmara Region of Turkey. Investigation is performed for the different nominal pipe sizes (NPS or diameter nominal: DN) of 50, 100 and 150. The environmental impacts of the various parameters are described. Results for the environmental impact of the system, the net environmental saving, exergetic heat loss, the net exergy saving, fuel consumption and CO 2 emissions according to insulation thickness are presented. Optimum points are calculated as 0.109 m, 0.126 m and 0.137 m for DN 50, 100, and 150, respectively for the glasswool. Optimum insulation thickness for the rockwool was determined as 0.064 m, 0.073 m and 0.079 for DN 50, 100, and 150, respectively. 108G. Özel et al.

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“…DH networks are often subject to detailed analyze in order to find optimal pipes sizing [6] or minimize the heat losses [7,8]. Similar approaches can be utilized for DH supply system, that would transport heat over long distances, from the HS to the DH area.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria optimization approach to design and operation of district heating supply system over its life cycle

Hirsch

Duzinkiewicz

2017

E3S Web Conf.

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Abstract. District Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation from the considered heat sources. The optimized selection is formulated as multicriteria decision-making problem. The constraints for this problem include a static HTS model, allowing considerations of system life cycle, time variability and spatial topology. Thereby, variation of heat demand and ground temperature within the DH area, insulation and pipe aging and/or terrain elevation profile are taken into account in the decision-making process. The HTS construction costs, pumping power, and heat losses are considered as objective functions. Inner pipe diameter, insulation thickness, temperatures and pumping stations locations are optimized during the decision-making process. Moreover, the variants of pipe-laying e.g. one pipeline with the larger diameter or two with the smaller might be considered during the optimization. The analyzed optimization problem is multicriteria, hybrid and nonlinear. Because of such problem properties, the genetic solver was applied.

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Economic and environmental impacts of insulation in district heating pipelines

Cited by 71 publications

References 23 publications

Farkli İkli̇m Şartlari İçi̇n Hava Boşluklu Opti̇mum Boru Yalitim Kalinliğinin Beli̇rlenmesi̇nde Yaşam Döngüsü Mali̇yet Anali̇zi̇

Farkli İkli̇m Şartlari İçi̇n Hava Boşluklu Opti̇mum Boru Yalitim Kalinliğinin Beli̇rlenmesi̇nde Yaşam Döngüsü Mali̇yet Anali̇zi̇

Optimum insulation thickness for piping system using exergy and environmental methods

Multicriteria optimization approach to design and operation of district heating supply system over its life cycle

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