Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The power consumption from electric vehicles and heat pumps coincides with the residential evening peak load.
“Furthermore, the power consumption from these technologies coincides with the residential evening peak load [5].”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [5]
Section 3.3 (Load profile analysis; page unavailable) reports that adding heat-pump loads raises residential feeder peaks and that back-up heaters coincide with high heat-pump peaks. It does not establish that those loads coincide with the residential evening peak. Section 3.2 (Overview; page unavailable) mentions electric vehicles only as a future additional load, without stating when they draw power. (LLM, conf=0.78)
Experimental — accuracy not yet measuredHigh penetration of single-phase rooftop PV on LV feeders can lead to voltage rise, increased phase unbalance, neutral-to-ground voltage issues, and reverse power flows, particularly in lightly loaded residential networks.
“High penetration of single-phase rooftop PV on low voltage (LV) feeders can lead to voltage rise, increased phase unbalance, neutral-to-ground voltage issues, and reverse power flows, particularly in lightly loaded residential networks [5][6][7].”
From Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study (2026) · cites this paper as [7]
The Introduction identifies voltage rise, reverse power flow, and voltage unbalance as potential PV-related effects, and the building-model description says the buildings have single-phase connections. The copy does not identify neutral-to-ground voltage issues or establish that these effects are particularly pronounced in lightly loaded residential networks. The Conclusion also qualifies the paper’s own results: PV did not cause over-voltage under the studied conditions. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 44 · Cited by 147
Research works printed but not linked: 40
- H. S. Park, K. Jeong, T. Hong, C. Ban, C. Koo, J. Kim, The optimal pho- tovoltaic system implementation strategy to achieve the national carbon emissions reduction target in 2030: Focused on educational facilities, En- ergy and Buildings 119 (2016) 101-110. doi:10.1016/j.enbuild. 2016.03.029. · DOI
- V. Gaigalis, R. Skema, K. Marcinauskas, I. Korsakiene, A review on Heat Pumps implementation in Lithuania in compliance with the National En- ergy Strategy and EU policy, Renewable and Sustainable Energy Reviews 53 (2016) 841-858. doi:10.1016/j.rser.2015.09.029. · DOI
- R. Baetens, On Externalities of Heat Pump-Based Low-Energy Dwellings at the Low-Voltage Distribution Grid, Ph.D. thesis, KU Leuven (2015).
- D. Patteeuw, G. Reynders, K. Bruninx, C. Protopapadaki, E. Delarue, W. D'haeseleer, D. Saelens, L. Helsen, CO2-abatement cost of residen- tial heat pumps with active demand response: Demand-and supply- side effects, Applied Energy 156 (2015) 490-501. doi:10.1016/j. apenergy.2015.07.038. · DOI
- R. Baetens, R. De Coninck, J. Van Roy, B. Verbruggen, J. Driesen, L. Helsen, D. Saelens, Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation, Ap- plied Energy 96 (2012) 74-83. doi:10.1016/j.apenergy.2011.12. 098. · DOI
- H. Wolisz, C. Punkenburg, R. Streblow, D. Müller, Feasibility and poten- tial of thermal demand side management in residential buildings consider- ing different developments in the German energy market, Energy Conver- sion and Management 107 (2016) 86-95. doi:10.1016/j.enconman. 2015.06.059. · DOI
- R. Passey, T. Spooner, I. MacGill, M. Watt, K. Syngellakis, The poten- tial impacts of grid-connected distributed generation and how to address them: A review of technical and non-technical factors, Energy Policy 39 (10) (2011) 6280-6290. doi:10.1016/j.enpol.2011.07.027. · DOI
- M. Karimi, H. Mokhlis, K. Naidu, S. Uddin, A. Bakar, Photovoltaic penetration issues and impacts in distribution network A review, Re- newable and Sustainable Energy Reviews 53 (2016) 594-605. doi: 10.1016/j.rser.2015.08.042. · DOI
- M. Obi, R. Bass, Trends and challenges of grid-connected photovoltaic systems -A review, Renewable and Sustainable Energy Reviews 58 (2016) 1082-1094. doi:10.1016/j.rser.2015.12.289. · DOI
- C. Gonzalez, J. Geuns, S. Weckx, T. Wijnhoven, P. Vingerhoets, T. De Rybel, J. Driesen, LV distribution network feeders in Belgium and power quality issues due to increasing PV penetration levels, in: 3rd IEEE PES Innovative Smart Grid Technologies Conference Europe, Berlin, 14-17 October, 2012, pp. 1-8. doi:10.1109/ISGTEurope.2012.6465624. · DOI
- M. Kolenc, I. Papič, B. Blažič, Assessment of maximum distributed gen- eration penetration levels in low voltage networks using a probabilistic approach, International Journal of Electrical Power and Energy Systems 64 (2015) 505-515. doi:10.1016/j.ijepes.2014.07.063. · DOI
- F. J. Ruiz-Rodriguez, J. C. Hernández, F. Jurado, Voltage unbalance as- sessment in secondary radial distribution networks with single-phase pho- tovoltaic systems, International Journal of Electrical Power and Energy Systems 64 (2015) 646-654. doi:10.1016/j.ijepes.2014.07.071. · DOI
- D. M. Tovilović, N. LJ. Rajaković, The simultaneous impact of photo- voltaic systems and plug-in electric vehicles on the daily load and voltage profiles and the harmonic voltage distortions in urban distribution sys- tems, Renewable Energy 76 (2015) 454-464. doi:10.1016/j.renene. 2014.11.065. · DOI
- J. Moshövel, K.-P. Kairies, D. Magnor, M. Leuthold, M. Bost, S. Gährs, E. Szczechowicz, M. Cramer, D. U. Sauer, Analysis of the maximal pos- sible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption, Applied Energy 137 (2015) 567-575. doi:10.1016/j.apenergy.2014.07.021. · DOI
- G. Mokhtari, G. Nourbakhsh, F. Zare, A. Ghosh, Improving the pene- tration level of PVs using DC link for residential buildings, Energy and Buildings 72 (2014) 80-86. doi:10.1016/j.enbuild.2013.12.007. building and district properties. Appl Energy. 2017;192C:268-81. http://dx.doi.org/10.1016/j.apenergy.2016.11.103 · DOI
- L. Leite, W. Boaventura, L. Errico, E. Cardoso, R. Dutra, B. Lopes, In- tegrated voltage regulation in distribution grids with photovoltaic distri- bution generation assisted by telecommunication infrastructure, Electric Power Systems Research 136 (2016) 110-124. doi:10.1016/j.epsr. 2016.02.016. · DOI
- A. R. Manito, A. Pinto, R. Zilles, Evaluation of utility transformers' lifes- pan with different levels of grid-connected photovoltaic systems penetra- tion, Renewable Energy 96 (2016) 700-714. doi:10.1016/j.renene. 2016.05.031. · DOI
- L. Schibuola, M. Scarpa, C. Tambani, Demand response management by means of heat pumps controlled via real time pricing, Energy and Build- ings 90 (2015) 15-28. doi:10.1016/j.enbuild.2014.12.047. · DOI
- D. Patteeuw, G. P. Henze, L. Helsen, Comparison of load shifting in- centives for low-energy buildings with heat pumps to attain grid flex- ibility benefits, Applied Energy 167 (2016) 80-92. doi:10.1016/j. apenergy.2016.01.036. · DOI
- D. Müller, A. Monti, S. Stinner, T. Schl, . Osser, T. Schütz, P. Matthes, H. Wolisz, C. Molitor, H. Harb, R. Streblow, Demand side management for city districts, Building and Environment 91 (2015) 283-293. doi: 10.1016/j.buildenv.2015.03.026. · DOI
- T. Schlösser, S. Stinner, A. Monti, D. Müller, Analyzing the impact of home energy systems on the electrical grid, in: 2014 Power Systems Computation Conference, IEEE, Wroclaw, 18-22 August, 2014, pp. 1- 7. doi:10.1109/PSCC.2014.7038378. · DOI
- M. Akmal, B. Fox, J. D. Morrow, T. Littler, Impact of heat pump load on distribution networks, IET Generation, Transmission & Distribution 8 (12) (2014) 2065-2073. doi:10.1049/iet-gtd.2014.0056. · DOI
- N. Bottrell, M. Bilton, T. C. Green, Impact of LV connected low carbon technologies on harmonic power quality, in: 23rd International Confer- ence on Electricity Distribution, Lyon, 15-18 June, 2015, pp. 1-5.
- M. Arnold, W. Friede, J. Myrzik, Investigations in low voltage distri- bution grids with a high penetration of distributed generation and heat pumps, in: 48th International Universities' Power Engineering Confer- ence (UPEC), Dublin, 2-5 September, 2013, pp. 1-6. doi:10.1109/ UPEC.2013.6714884. · DOI
- A. Navarro-Espinosa, P. Mancarella, Probabilistic modeling and assess- ment of the impact of electric heat pumps on low voltage distribu- tion networks, Applied Energy 127 (2014) 249-266. doi:10.1016/j. apenergy.2014.04.026. · DOI
- A. Navarro-Espinosa, L. F. Ochoa, Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems, IEEE Transac- tions on Power Systems 31 (3) (2016) 2192-2203. doi:10.1109/ TPWRS.2015.2448663. · DOI
- R. Baetens, R. De Coninck, F. Jorissen, D. Picard, L. Helsen, D. Sae- lens, OpenIDEAS an Open Framework for Integrated District Energy Simulations, in: BS2015, 14th Conference of International Building Per- formance Simulation Association, Hyderabad, 7-9 December, 2015, pp. 347-354.
- J. Van Roy, Electric vehicle charging integration in buildings Local charg- ing coordination and DC grids, Ph.D. thesis, KU Leuven (2015).
- C. Protopapadaki, R. Baetens, D. Saelens, Exploring the impact of heat pump-based dwelling design on the low-voltage distribution grid, in: BS2015, 14th Conference of International Building Performance Simu- lation Association, Hyderabad, 7-9 December, 2015, pp. 1-8.
- R. Jin, W. Chen, A. Sudjianto, An efficient algorithm for constructing optimal design of computer experiments, Journal of Statistical Planning and Inference 134 (1) (2005) 268-287. doi:10.1016/j.jspi.2004. 02.014. · DOI
- T. Simpson, J. Poplinski, P. N. Koch, J. Allen, Metamodels for Computer- based Engineering Design: Survey and recommendations, Engineering With Computers 17 (2) (2001) 129-150. arXiv:arXiv:1011.1669v3, doi:10.1007/PL00007198. · DOI
- K. Allacker, Sustainable Building -The development of an evaluation method, Ph.D. thesis, KU Leuven (2010).
- S. Gendebien, E. Georges, S. Bertagnolio, V. Lemort, Methodology to characterize a residential building stock using a bottom-up approach: a case study applied to Belgium, International Journal of Sustainable Energy Planning and Management 04 (2014) 71-88. doi:10.5278/ ijsepm.2014.4.7. · DOI
- Meteotest, METEONORM Version 6.1 -Edition 2009 (2009).
- P. Borella, M. T. Montagna, V. Romano-Spica, S. Stampi, G. Stancanelli, M. Triassi, R. Neglia, I. Marchesi, G. Fantuzzi, D. Tato, C. Napoli, G. Quaranta, P. Laurenti, E. Leoni, G. De Luca, C. Ossi, M. Moro, G. Rib- era D'Alcala, Legionella infection risk from domestic hot water, Emerg- ing infectious diseases 10 (3) (2004) 457-464. doi:10.3201/eid1003. 020707. · DOI
- W. De Soto, S. A. Klein, W. A. Beckman, Improvement and validation of a model for photovoltaic array performance, Solar Energy 80 (1) (2006) 78-88. doi:10.1016/j.solener.2005.06.010. · DOI
- R. Baetens, D. Saelens, Modelling uncertainty in district energy simu- lations by stochastic residential occupant behaviour, Journal of Build- ing Performance Simulation 9 (4) (2016) 431-447. doi:10.1080/ 19401493.2015.1070203. · DOI
- J. Van Roy, R. Salenbien, J. Driesen, Modelica Library for Building and Low-Voltage Electrical AC and DC Grid Modeling, Proceedings of the 10th International Modelica Conference (2014) 301-309doi:10.3384/ ECP14096301. · DOI
- S. Nykamp, A. Molderink, V. Bakker, H. A. Toersche, J. L. Hurink, G. J. M. Smit, Integration of heat pumps in distribution grids: Economic motivation for grid control, in: 3rd IEEE PES Innovative Smart Grid Technologies Conference Europe, Berlin, 14-17 October, 2012, pp. 1-8. doi:10.1109/ISGTEurope.2012.6465605. · DOI · Paper page
- G. Le Poidevin, P. Williams, T. Dutton, Modern approaches to cable rat- ings in the UK, in: 19 th International Conference on Electricity Distri- bution, Vienna 21-24 May, 2007, pp. 1-4.
- Authors
- Protopapadaki, C., & Saelens, D.
- Affiliations
- KU Leuven (BE)
- Corresponding author
- Protopapadaki, Christina
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 192
- Pages
- 268-281
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2558336743
- Cited by
- 147
- References
- 44
- Citations by year
- 2026: 12 · 2025: 10 · 2024: 21 · 2023: 21 · 2022: 17 · 2021: 14 · 2020: 18 · 2019: 15 · 2018: 10 · 2017: 9
- FWCI
- 5.23
- Type
- journal article
- Language
- en
- Update notices
- erratum (2017-11-01)
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Applied Energy (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Fundamental study of a greenhouse gas emission-free energy system
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- heat pumps, photovoltaics, low-voltage distribution networks, grid impact, air-source heat pump, building characteristics, building insulation, occupant behavior, electricity profile, electrification of heating, renewable energy, Monte Carlo simulation, Modelica
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review