2018
DOI: 10.3390/en11123370
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City Scale Demand Side Management in Three Different-Sized District Heating Systems

Abstract: Demand side management can add flexibility to a district heating (DH) system by balancing the customer’s hourly fluctuating heat demand. The aim of this study is to analyze how different demand side management control strategies, implemented into different customer segments, impact DH production. A city scale heat demand model is constructed from the hourly heat consumption data of different customer segments. This model is used to build several demand side management scenarios to examine the effect of them on… Show more

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Cited by 27 publications
(41 citation statements)
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“…There are also studies implicating that the value of the demand side management for DH companies remains low. Kontu et al claim in [46] that the value would be less than 2% in cost savings, having an effect mostly on medium loads without any significant decrease in annual peak heat loads. However, they stated that the findings also reflect the need for development of DH pricing models to make the demand side management more attractive to DH customers.…”
Section: Economic Feasibility Of the Studied Dr System From Stakeholdmentioning
confidence: 99%
“…There are also studies implicating that the value of the demand side management for DH companies remains low. Kontu et al claim in [46] that the value would be less than 2% in cost savings, having an effect mostly on medium loads without any significant decrease in annual peak heat loads. However, they stated that the findings also reflect the need for development of DH pricing models to make the demand side management more attractive to DH customers.…”
Section: Economic Feasibility Of the Studied Dr System From Stakeholdmentioning
confidence: 99%
“…The trend of future hourly DH price was defined as rising, steady or falling by using the algorithm developed by Alimohammadisagvand et al [26]. It must be noted that hourly changing DH prices are not yet developed in the market, but they are expected [8]. The formation of the dynamic price signal is further described in Section 2.3.…”
Section: Modelling Of the Demand Response Strategies In Buildingsmentioning
confidence: 99%
“…The use of information and communication technologies (ICT) to improve the operation of DH networks and to automatically shape energy demand has been researched across Europe [5][6][7][8][9]. This has been defined as demand-side management, which is an umbrella term for different building-side management strategies including peak clipping, valley filling and demand response (DR) [10].…”
Section: Introductionmentioning
confidence: 99%
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“…Reduction of heat loss in heating networks can also be achieved by using thicker layers of thermal insulation or heating networks with a lower thermal conduction coefficient of thermal insulation, which is associated with a higher cost of heating networks. Heat exchange in single pre-insulated heating networks, which are the most commonly used, has been thoroughly studied [7][8][9][10][11]. Heat losses in single pre-insulated pipes can be determined using analytical methods [3,7,9,12,13] as well as using numerical methods in two-dimensional [10,12] and three-dimensional [14] problems.…”
Section: Introductionmentioning
confidence: 99%