Influence of individual heat pumps on wind power integration – Energy system investments and operation

Hedegaard, Karsten; Münster, Marie

doi:10.1016/j.enconman.2013.08.015

Cited by 85 publications

(60 citation statements)

References 22 publications

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“…Münster et al (2012) [9], Ommen et al (2016) [22], Ommen et al (2013) [21], and Hedegaard & Münster (2013) [23]. Heat pumps utilising natural heat sources will in most cases experience variations in temperature of the source stream which influences both COP and capacity of the heat pump.…”

Section: Introductionmentioning

confidence: 99%

Integration of large-scale heat pumps in the district heating systems of Greater Copenhagen

Bach

Werling²,

Ommen

et al. 2016

Energy

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109

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This study analyses the technical and private economic aspects of integrating a large capacity of electric driven heat pumps (HP) in the Greater Copenhagen district heating (DH) system, which is an example of a state-of-the-art large district heating system with many consumers and suppliers. The analysis was based on using the energy model Balmorel to determine the optimum dispatch of HPs in the system. The potential heat sources in Copenhagen for use in HPs were determined based on data related to temperatures, flows, and hydrography at different locations, while respecting technical constraints. The Balmorel model was developed further in order to provide a better representation of HPs, for analysing the seasonal variations of COP, and to represent the difference in performance of HPs connected to either distribution or transmission networks. The optimization yields roughly 3,500 full load hours (FLH) for the HPs connected to the DH distribution networks when considering a current scenario. In a zero carbon-dioxide emission scenario expected in year 2025, approximately 4,000 FLH, are achieved. In the case where HPs are connected to the DH transmission network at elevated temperatures, their operation decreases by roughly 1,000 FLH. No significant impact was found when comparing fixed and varying operation characteristics of the HP.

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Section: Introductionmentioning

confidence: 99%

Integration of large-scale heat pumps in the district heating systems of Greater Copenhagen

Bach

Werling²,

Ommen

et al. 2016

Energy

Self Cite

109

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“…Costs were discounted with 4 % interest rate as recommended in [33] over 40 year period, as recommended in [34]. It can be observed from High level of details provided by a heat atlas has already been used for examining socioeconomic feasibility of expanding DH in previous studies [6,20,24]. The difference in the approach presented in this paper is that DH areas, which have the highest potential to be fully converted to district heating, are formed within GIS software and haven't been taken from administrative databases.…”

Section: Marginal Costs Of Expansion Of Dh Networkmentioning

confidence: 99%

Danish heat atlas as a support tool for energy system models

Petrovič

Karlsson

2014

Energy Conversion and Management

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In the past four decades following the global oil crisis in 1973, Denmark has implemented remarkable changes in its energy sector, mainly due to the energy conservation measures on the demand side and the energy efficiency improvements on the supply side. Nowadays, the capital intensive infrastructure investments, such as the expansion of district heating networks and the introduction of significant heat saving measures require highly detailed decisionsupport tool. A Danish heat atlas provides highly detailed database with extensive information about more than 2.5 million buildings in Denmark. Energy system analysis tools incorporate environmental, economic, energy and engineering analysis of future energy systems and are considered crucial for the quantitative assessment of transitional scenarios towards future milestones, such as EU 2020 goals and Denmark's goal of achieving fossil free society after 2050. The present paper shows how a Danish heat atlas can be used for providing inputs to energy system models, especially related to the analysis of heat saving measures within building stock and expansion of district heating networks. As a result, marginal cost curves are created, approximated and prepared for the use in optimization energy system model. Moreover, it is concluded that heat atlas can contribute as a tool for data storage and visualization of results.

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“…They require a high level of detail in representing the energy system often resulting in extensive computation requirements. Analyses have been carried out, for example, with a focus on demand response from residential appliances [54][55][56], heat pumps [57][58][59] or electric vehicles [60][61][62].…”

Section: Introductionmentioning

confidence: 99%

Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system

Katz

Andersen

Morthorst

2016

Energy

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Influence of individual heat pumps on wind power integration – Energy system investments and operation

Cited by 85 publications

References 22 publications

Integration of large-scale heat pumps in the district heating systems of Greater Copenhagen

Integration of large-scale heat pumps in the district heating systems of Greater Copenhagen

Danish heat atlas as a support tool for energy system models

Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system

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