LAPSE:2023.25688v1
Published Article

LAPSE:2023.25688v1
A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios
March 29, 2023
Abstract
Next to building insulation, heat pumps driven by electrical compressors (eHPs) or by gas engines (geHPs) can be used to reduce primary energy demand for heating. They come with different investment requirements, operating costs and emissions caused. In addition, they affect both the power and gas grids, which necessitates the assessment of both infrastructures regarding grid expansion planning. To calculate costs and CO2 emissions, 2000 electrical load profiles and 180 different heat demand profiles for single-family homes were simulated and heat pump models were applied. In a case study for a neighborhood energy model, the load profiles were assigned to buildings in an example town using public data on locations, building age and energetic refurbishment variants. In addition, the town’s gas distribution network and low voltage grid were modeled. Power and gas flows were simulated and costs for required grid extensions were calculated for 11% and 16% heat pump penetration. It was found that eHPs have the highest energy costs but will also have the lowest CO2 emissions by 2030 and 2050. For the investigated case, power grid investments of 11,800 euros/year are relatively low compared to gas grid connection costs of 70,400 euros/year. If eHPs and geHPs are combined, a slight reduction of overall costs is possible, but emissions would rise strongly compared to the all-electric case.
Next to building insulation, heat pumps driven by electrical compressors (eHPs) or by gas engines (geHPs) can be used to reduce primary energy demand for heating. They come with different investment requirements, operating costs and emissions caused. In addition, they affect both the power and gas grids, which necessitates the assessment of both infrastructures regarding grid expansion planning. To calculate costs and CO2 emissions, 2000 electrical load profiles and 180 different heat demand profiles for single-family homes were simulated and heat pump models were applied. In a case study for a neighborhood energy model, the load profiles were assigned to buildings in an example town using public data on locations, building age and energetic refurbishment variants. In addition, the town’s gas distribution network and low voltage grid were modeled. Power and gas flows were simulated and costs for required grid extensions were calculated for 11% and 16% heat pump penetration. It was found that eHPs have the highest energy costs but will also have the lowest CO2 emissions by 2030 and 2050. For the investigated case, power grid investments of 11,800 euros/year are relatively low compared to gas grid connection costs of 70,400 euros/year. If eHPs and geHPs are combined, a slight reduction of overall costs is possible, but emissions would rise strongly compared to the all-electric case.
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Keywords
gas distribution, grid expansion planning, heat pumps, load-profiles, power grid
Subject
Suggested Citation
Kisse JM, Braun M, Letzgus S, Kneiske TM. A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios. (2023). LAPSE:2023.25688v1
Author Affiliations
Kisse JM: Department of Energy Management and Power System Operation, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany; Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Department of Grid Planning and Operation, König [ORCID]
Braun M: Department of Energy Management and Power System Operation, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany; Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Department of Grid Planning and Operation, König [ORCID]
Letzgus S: Department of Energy Systems, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Kneiske TM: Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Department of Grid Planning and Operation, Königstor 59, 34119 Kassel, Germany [ORCID]
Braun M: Department of Energy Management and Power System Operation, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany; Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Department of Grid Planning and Operation, König [ORCID]
Letzgus S: Department of Energy Systems, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Kneiske TM: Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Department of Grid Planning and Operation, Königstor 59, 34119 Kassel, Germany [ORCID]
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4052
Year
2020
Publication Date
2020-08-05
ISSN
1996-1073
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Original Submission
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PII: en13164052, Publication Type: Journal Article
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LAPSE:2023.25688v1
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